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CREDIT SUISSE SECURITIES RESEARCH & ANALYTICS BEYOND INFORMATION®
Client-Driven Solutions, Insights, and Access
Equity Research China&Hong Kong
Utilities (Utilities CN (Asia))
29 April 2015
China Power Sector THEME
The Ideas Engine
series showcases
Credit Suisse’s unique
insights and investment ideas.
Reforms bite!
New game rules. Safety will become Rule No.1 when investing in the power generators
in the coming years amid China's aggressive push for power reforms. Our preliminary
analysis of market-based pricing in the recent primer report is now strengthened by the
four official documents issued in the past month. Without large demand recovery,
electricity will remain a seriously oversupplied commodity, and price war and consolidation
could pull the average ROE of national coal-fired IPPs from 17% in 2014 down to 10%
by 2020E. With 2Q15 earnings likely marking a meaningful inflection, we recommend
investors exit.
A painful process before gain. The IPPs tariffs could go down further after the recent
5% cut and IPPs' tariffs for direct supplied contracts in 2014 (10% lower on average) is a
very strong early signal of what market forces can do. China aims full liberalisation of power
pricing and when it happens, depressed tariffs could force the exit of uncompetitive smaller
units together with a large impairment (before full depreciation). Competitive survivors could
swell after consolidation but the process could take years and could be painful.
Safe waters in the storm. Meanwhile, investors should find much better visibility for
demand and prices in: (1) wind operators; (2) low-cost hydro power generators; and (3)
A-share listed local IPPs with protective schemes. Nuclear operators are no longer
attractive with rising uncertainty on utilisation and technology risks.
SELL the national IPPs. With valuation nearing a five-year high plus major industry
headwinds, we recommend investors to sell the national IPPs. We cut target prices and
ratings (Huadian-H) on lower sustainable ROEs and our top sells are Huaneng (both A/H)
and CR Power. We also downgrade CGN to UNDERPERFORM with an unjustified valuation
and rising nuclear earnings risks. Areas that are worth buying include wind operators, low-
cost hydro power generators and local power utilities (we are initiating on Jingneng and
Mengdian with an Outperform).
Structural ROE trend of the national IPPs
Source: Company data, Credit Suisse estimates
Switch to the safer sectors!
Source: Credit Suisse research
The report follows our China Utilities Reform Primer in March 2015
(click here)
RESEARCH ANALYSTS
Dave Dai, CFA
852 2101 7358
Ran Ma 852 2101 6653
18% 17% 16%
14%
11%
9% 10% 10%
6%
8%
10%
12%
14%
16%
18%
20%
2013 2014 2015E 2016E 2017E 2018E 2019E 2020E
IDEAS ENGINE SERIES
IDEAS ENGINE 2
China Power Sector
Focus charts
Figure 1: Slow demand scenario—utilisation trend would
continue to weaken without power reforms
Figure 2: Slow demand scenario—market reform can make
consolidation possible
Figure 3: IPPs with larger exposure to smaller units could
see greater shut-down risks
Source: CEIC, Credit Suisse estimates Source: CEIC, Credit Suisse estimates Source: Company data
Figure 4: Inner Mongolia enjoys better utilisation hours than the
national average
Figure 5: Forward P/B of national IPPs at five-year high despite
upcoming ROE pressure
Figure 6: Switch to the safer sectors!
Source: CEIC Source: Bloomberg, Credit Suisse estimates, excluding Datang Source: Credit Suisse research
The author of this report wishes to acknowledge the contributions made by Gary Zhou, an employee of Evalueserve Research Hong Kong Ltd, a third-party provider to Credit Suisse of
research support services.
5,031
5,294
4,9655,012
4,706
4,559
5,1025,043 5,085 5,130
4,000
4,200
4,400
4,600
4,800
5,000
5,200
5,400
2010 2011 2012 2013 2014
(Hours)
China Inner Mongolia
0%
4%
8%
12%
16%
20%
0.4
0.6
0.8
1.0
1.2
1.4
1.6
Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15
ROE (RHS)
0.8x Avg-1SD
0.6x Avg-2SD
1.0x Avg
1.2x Avg+1SD
1.4x Avg+2SD
(x)
IDEAS ENGINE 3
China Power Sector
Reforms bite!
New game rules
This report is the second part of our analysis on China's utilities reforms, especially the
electricity industry. Following our first report in March 2015, China has taken further steps on
the long-awaited power reforms by issuing four guiding documents (power reform guidelines,
renewable energy purchase, power demand management and transmission and distribution
(T&D) reform) within the past month. As expected, "competition" is the key word and will be
introduced to the current quasi-planned power economy and we believe that this could result in
great uncertainties with volume and prices going forward. Investing in power operators is no
longer about growth and yield; we see safety as a prominent factor from here on and we
selectively prefer clean energy and local utilities (initiations) over national IPPs.
Power reform is fast and furious and could change the rules of investing in power operators
in China.
A painful process before gain
China is very oversupplied in electricity and overall thermal utilisation may drop to a 39-year low
in 2015. With market forces in play, consolidation cannot be ruled out. Without the necessary
reforms, overall utilisation may get depressed further in the coming years without a meaningful
recovery in demand. For the national IPPs, looking beyond the recent impact of 5% tariff cuts
(a result of coal price declines in the past, so cost-plus practice!), consolidation could involve
further pressure of tariffs, evidenced by the contracted direct sales last year with an average
10% tariff cut. On the positive side, the reforms may mean more longer-term orders as smaller
uncompetitive units get phased out. And once the pain subsides, more efficient survivors should
enjoy recovering utilisation and stable market shares. But the process can be painful, and could
take years to complete.
Prepare for consolidation and price wars!
Stay in safer waters
With great pollution pressure, clean energy generally should be more protected. We like wind
operators and low-cost hydro companies given higher visibility on volume and power prices but
high-cost hydro (risk of tariff cuts) and nuclear (utilisation risks and technology issues) power
companies may face rising uncertainties. We add two A-share listed local utilities (Mengdian
and Jingneng) to our coverage space, representing a new area of growth. Protected by
outbound transmission, Inner Mongolia should stand on a sweet spot with protected growth.
Renewables and local utilities still represent opportunities.
SELL the national IPPs
With valuation nearing a five-year high plus major industry headwinds, we recommend investors
to sell the national IPPs. We cut target prices and ratings (Huadian-H) on lower sustainable
ROEs and our top sells are Huaneng (both A/H) and CR Power. We also downgrade CGN to
UNDERPERFORM with an unjustified valuation and rising nuclear earnings risks. Areas that are
worth buying include wind operators, low-cost hydro power generators and local power utilities
(we are initiating on Jingneng and Mengdian with an Outperform).
Three groups of safety choices
Figure 7: Recommendation summary of China power operators
POSITIVE NEGATIVE
Wind National IPPs
Huaneng Renewables (0958.HK) Huaneng Power-H (0902.HK): top sell
Longyuan Power (0916.HK) Huaneng Power-A (600011.SS): top sell
Low-cost hydro CR Power (0836.HK): top sell
Yangtze Power (600900.SS) Datang Power-A (601991.SS)
Local IPPs Huadian Power-H (1071.HK): downgrade to U/P
Jingneng (600578.SS): initiation Huadian Power-A (600027.SS)
Mengdian (600863.SS): initiation Nuclear
CGN Power (1816.HK): downgrade to U/P
Source: Credit Suisse estimates
IDEAS ENGINE 4
China Power Sector
Figure 8: Valuation summary
Name Ticker Rating Price TP Mkt cap P/E (x) P/B (x) Yield (%) ROE (%) %EPS CAGR
(US$ bn) 15E 16E 15E 16E 15E 16E 15E 16E 14-16E
China Wind power sector
Huaneng Renewables 0958.HK O 3.3 4.0 4.1 13.4 9.6 1.5 1.3 1.5 2.1 11.4 14.3 49.2
Longyuan Power 0916.HK O 9.7 11.5 10.0 14.8 11.9 1.7 1.5 1.3 1.7 12.0 13.5 42.7
China Datang Renewables 1798.HK O 1.3 1.5 1.2 17.0 11.5 0.7 0.6 0.6 0.9 4.0 5.6 n.a.
Huadian Fuxin Energy 0816.HK O 4.3 5.5 4.7 10.6 8.7 1.7 1.5 1.8 2.9 17.0 18.1 30.2
China Suntien Green Energy 0956.HK O 2.1 2.5 1.0 12.5 8.6 0.8 0.7 2.7 4.0 6.4 8.8 44.4
Simple average 13.7 10.1 1.3 1.1 1.6 2.3 10.2 12.1 41.6
China Hydro power sector
SDIC Power 600886.SS N 12.5 12.5 13.7 11.7 11.0 3.1 2.6 3.0 3.2 28.5 25.5 17.3
China Yangtze Power Co Ltd 600900.SS O 12.6 14.8 33.6 17.6 18.6 2.3 2.2 2.9 2.7 13.6 12.1 -1.7
Sichuan Chuantou Energy 600674.SS O 26.2 30.0 9.3 11.4 10.9 3.2 2.6 1.3 1.4 32.1 26.3 23.6
Simple average 13.6 13.5 2.9 2.5 2.4 2.4 24.7 21.3 13.0
China IPPs sector - A (Local)
Inner Mongolia Mengdian 600863.SS O 6.1 7.5 5.7 34.2 21.4 3.2 3.0 3.1 2.3 9.4 14.5 10.5
Jingneng Power 600578.SS O 8.1 10.0 6.0 17.6 18.2 2.4 2.2 2.0 1.9 14.1 12.5 -10.3
Simple average 26.0 19.9 2.8 2.6 2.5 2.1 11.8 13.5 0.1
China Nuclear sector
CGN Power 1816.HK U 4.5 3.4 26.3 26.3 22.8 3.0 2.7 1.3 1.5 11.7 12.5 11.9
China IPPs sector - H (National)
Datang International Power 0991.HK O 4.8 4.6 14.9 10.5 8.7 1.1 1.0 3.8 4.6 10.4 11.6 52.1
Huadian Power International 1071.HK U 8.7 6.4 11.9 11.0 12.3 1.7 1.6 3.7 3.3 16.6 13.6 -8.7
China Resources Power 0836.HK U 23.3 16.3 14.4 9.2 9.3 1.4 1.3 3.5 3.8 16.2 14.5 14.4
Huaneng Power International 0902.HK U 11.3 7.3 24.3 10.8 12.0 1.7 1.6 5.1 4.6 16.6 13.8 -0.3
Simple average 10.4 10.6 1.5 1.4 4.0 4.1 14.9 13.4 14.4
China IPPs sector - A (National)
Huadian Power International 600027.SS U 8.7 5.1 11.9 13.8 15.4 2.2 2.0 2.9 2.6 16.6 13.6 -8.7
Datang International Power 601991.SS U 7.9 3.7 14.9 21.6 18.1 2.2 2.0 1.9 2.2 10.4 11.6 52.1
Huaneng Power International 600011.SS U 11.0 5.8 24.3 13.1 14.6 2.1 2.0 4.2 3.8 16.6 13.8 -0.3
Simple average 16.2 16.0 2.1 2.0 3.0 2.9 14.5 13.0 14.4
China City Gas sector
China Gas Holdings Ltd 0384.HK O 14.3 17.5 9.2 18.0 14.3 3.4 2.9 1.3 1.7 20.2 21.6 25.2
Beijing Enterprises Holdings 0392.HK O 72.1 82.0 12.0 15.7 13.7 1.5 1.4 1.9 2.2 10.1 10.7 17.9
China Resources Gas 1193.HK O 27.1 27.0 7.8 19.4 15.4 3.2 2.8 1.1 1.4 17.6 19.2 24.1
ENN Energy Holdings Ltd 2688.HK O 56.7 56.0 7.9 18.3 15.6 3.5 3.0 1.6 1.9 20.6 20.9 15.9
Shenzhen Gas Corporation 601139.SS U 12.3 6.6 3.9 30.6 27.2 4.1 3.8 1.3 1.5 14.0 14.5 11.3
Kunlun Energy 0135.HK N 9.1 8.7 9.4 14.4 12.3 1.3 1.2 2.0 2.3 9.3 10.1 2.8
Hong Kong and China Gas 0003.HK U 18.7 15.0 25.3 26.3 24.9 3.5 3.3 2.3 2.4 13.8 13.8 5.2
Simple average 20.4 17.7 2.9 2.6 1.6 1.9 15.1 15.8 14.6
Source: Company data, Credit Suisse estimates
IDEAS ENGINE 5
China Power Sector
New game rules YTD 2015, the national IPPs have mostly underperformed the broader index and most other
utilities sub-sectors. However, the names showed strength again in April with lower coal prices
and stronger-than-expected 1Q15 results. In our view, the national IPPs are unlikely to enjoy
such high profitability as in 1Q15 over the next few years as: (1) cheaper coal prices are likely
to be offset by another "cost-plus" tariff cut later this year; (2) the recent 5% tariff cut should
reflect legacy costs instead of recent costs; and (3) most importantly, the power reform is likely
to trigger huge dynamic changes in this oversupplied industry. With rising uncertainties on the
operational environment for power generators, we believe safety should replace growth as the
key investment criteria.
Figure 9: YTD sub-sector performance
Source: Bloomberg
Further downgrade of national IPPs
With four separate documents issued in the past month, there is little doubt that China is very
determined to push for a market-based power economy. This is likely to radically change the
dynamics from the current industry structure, whereby every power tariff change has been
regulated by the central authority (National Development and Reform Commission or the
NDRC) and power plants' utilisation ability is largely planned. In an oversupplied industry
(thermal utilisation is nearing a 39-year-low this year), market pricing could pull down sector
ROE from 17% in 2014 to about 10% in 2020E in a slow demand scenario. We reflect our
P/B-based target prices with lower sustainable ROE (average of a stable demand and slow
demand scenario).
Figure 10: China IPPs—target price and rating changes
Company Ticker Prev.
rating
New
rating
Prev.
TP
New
TP
U/D Target
P/B
Underlying
ROE
Prev. ROE
HNP-H 0902.HK U U 7.7 7.3 -35% 1.0 11.3% 13.5%
HDP-H 1071.HK N U 6.6 6.4 -26% 1.2 12.2% 14.0%
CRP 0836.HK U U 17.0 16.3 -30% 1.2 12.6% 14.0%
HNP-A 600011.SS U U 6.2 5.8 -47% 1.0 11.1% 13.5%
HDP-A 600027.SS U U 5.2 5.1 -41% 1.2 12.2% 14.0%
Source: Company data, Credit Suisse estimates
Coal prices are unlikely to impact post-FY15 profits
In 1Q15, some IPPs reported strong profits and the key positive surprises mostly came from
cheaper coal prices. However, the recent tariff cut suggested that China has started to base
regulated tariff calculations on movements in fuel prices, suggesting any weakness in coal
prices could trigger another tariff cut later this year. Therefore, given that it is largely a rule of
90% pass-through, a stronger FY15 net profit would mean more tariff cuts going into FY16.
This is why we now base our target price calculations on FY16E P/B which will largely reduce
any influence of short-term movements in coal prices. Taking a longer-term view, valuation
would become much more stretched vs. history.
Figure 11: Three-year forward P/B history
Source: Bloomberg, Credit Suisse estimates
IDEAS ENGINE 6
China Power Sector
Why is consolidation needed?
In the following sections, we try to reflect on the "consolidation" and "no consolidation" cases in
a "slow demand" scenario. Given the continuing pressure on overall thermal utilisation, the
power reforms may make consolidation possible where power generating units compete with
each other on generation costs. In a nutshell, with utilisation hours likely touching a 39-year low
in 2015 (4,706 in 2014), a large fleet of units need to be phased out for the entire thermal
power industry to restore the optimal level of >5,000 hours. In the consolidation scenario, we
assume utilisation and tariffs to keep weakening in the next three years, phasing smaller units
out but companies that need to shut down before full depreciation may realise impairment
losses; however, a recovery may happen in 2019-20 as smaller units would be out of the fray
and it would be a more orderly industry. If there is no power reform and consolidation, tariffs
may be less destructive but everyone will get hurt with the rising pain of oversupply. Therefore,
without assuming additional asset injections, the key loser would be Huaneng with similar ROE
in both scenarios while the other three companies will be better positioned post consolidation
vs. no consolidation at all. More details are in the following sections.
Figure 12: ROE scenarios in the two cases (slow demand scenario)
2014 ROE 2020E ROE
Huaneng Power Consolidation 16.2% 10.2%
No consolidation 16.2% 10.5%
Datang Power Consolidation 4.0% 11.9%
No consolidation 4.0% 10.2%
Huadian Power Consolidation 21.8% 12.2%
No consolidation 21.8% 9.6%
CR Power Consolidation 13.6% 12.1%
No consolidation 13.6% 9.1%
Source: Company data, Credit Suisse estimates
The reform is moving quicker than expected
In our first primer report published in March 2015, we expected that coal-fired IPPs could face
both near-term and longer-term earnings headwinds. In the short run, we forecast an
asymmetric cut to on-grid power tariffs: coastal and inland provinces to be impacted by 2.5
fen/kWh (6%) and 1.5 fen/kWh (4%) cuts, respectively. Given that the IPPs could deflect
incremental pricing pressure to the coal producers, we expect average unit fuel cost to drop 5%
YoY for the IPPs in FY15. However, the cost-plus formula should remain effective going
forward, which will trigger another possible tariff cut in early FY16 (we assume further cuts by
1.5 fen and 1.0 fen/kWh for coastal and inland provinces ,respectively).
Also, our previous analysis of full-blown power reforms was based more on tariff differences
whereby high-tariff zones could see much larger tariff pressure than low-tariff locations. This
would result in an ROE squeeze of another >100 bp, but this scenario excludes the impact of
further utilisation downside.
Figure 13: The first reform primer report (March 2015)
Source: Credit Suisse estimates
Figure 14: China IPPs ROE (stable demand scenario)
Source: Company data, Credit Suisse estimate
IDEAS ENGINE 7
China Power Sector
Tick! The tariff cut happened!
The tariff overhang is now clear with the State Council's decision on 8 April 2015. The average
on-grid tariff cut of 2 fen/kWh (or a 5% cut) will apply to coal-fired power, in line with our
expectations. On 19 April, the NDRC issued final details by province (average cut of 4.2% for
inland provinces (1.6 fen/kWh) and 5.4% cut for coastal provinces (2.3 fen/kWh), effective 20
April. Unlike the past few cuts, end-user tariffs for commercial and industrial users will also be
cut by 1.8 fen per kWh. According to the State Council, this round of on-grid tariff cut was: (1)
due to the coal price and power tariff pass-through mechanism, (2) intended to lower
operational costs for enterprises by lowering retail electricity prices and promoting economic
growth, and (3) subsidising gas-fired power and environmentally friendly power generation with
de-nitrification and de-dusting facilities, and ultra-low emissions.
Tick! Four reform documents in one month!
Regarding the government's official announcement, we are also very surprised at the pace of
proceedings as there have been four guiding documents published in last one month alone.
Figure 15: Four guiding documents in one month
Source: National Energy Administration (NEA), China Electricity Council
Figure 16: Details of the four reform documents
1. Embarking the reform
(State Council [2015] 5
Document): The long-
awaited power reform
guidelines have been
circulated within the power
industry since late-March
2015, according to China
Securities Daily and was
officially published on the
China Electricity Council
website recently. The basic
principal of the No.5
Document targets separating
market-based electricity
pricing (power generation
and power retail) from
regulated pricing
(transmission and
distribution). Currently, the
IPPs mostly sell to the power
grid companies, which
monopolise both networks
and customer retail. Going
forward, the power networks
will operate on regulated
cost-plus returns and power
generation (direct supply and
competitive bidding) and
retail tariffs should be
decided by demand-supply.
With a bi-lateral mechanism,
qualified power generators,
retailers and end-users will
have more discretion to
influence volume and pricing
while only paying designated
network charges. Power retail
(currently operated by power
grid cos) will be opened,
allowing both city utilities (city
water, gas and heat
suppliers) and power
generators to participate in
this business. Distributed
energy will also be fully
opened, encouraging users
to build such solutions from
solar, wind, biomass and gas.
2. Protecting renewables
(NDRC [2015] 518
Document): On 23 March,
NDRC and NEA issued a
supplementary document
for power reform - Guidance
on Improving Power
Dispatch and Promoting the
Sustainable Development of
Clean Energy Power
Generation. According to
the document, renewable
power should be fully
purchased as long as grid
safety and stability are
ensured. The annual power
dispatch plans should
prioritise clean energy
power generation. Wind,
solar, biomass power
generation should be
purchased based on local
resource conditions. Hydro
should be purchased based
on both resources and
historical average
generation. The safety of
nuclear power generation
should be ensured and
peak-shaving also be
considered. Gas-fired
power generation should be
determined by heating,
peak-shaving and balancing
demands. For coal-fired
power, high-efficiency and
environmentally friendly
units should have higher
utilisation hours than others.
Incremental power demand
should be first met by clean
energy power from both
local generation and cross-
provincial power
transmission, and then met
by high-efficiency coal-fired
units.
3. City project
guidance (NDRC
[2015] 703
Document): Another
supplementary
document for power
reform was published
on 9 April, addressing
power demand
management issues
(notification on
improving the power
emergency planning
mechanism and
managing city power
demand). Local
governments should
make detailed plans
on how to encourage
end-users to reduce
power consumption
during peak load and
improving peak and
off-peak tariffs. The
document also
mentions that the
power service
industry should be
promoted and a
national electricity
demand monitoring
system should be
established with real-
time data inputs from
local power networks.
Test runs have been
conducted in
provinces and cities
such as Beijing,
Hebei, Jiangsu,
Guangdong and
Shanghai, which
could help gain
experience for power
retail reform in the
long run.
4. Accelerating
power
transmission and
distribution
reforms: After the
test runs at
Shenzhen and
Western Inner
Mongolia, NDRC
decided to expand
the pilot power
transmission and
distribution (T&D)
reforms in Anhui,
Hubei, Ningxia and
Yunnan provinces.
Their T&D tariffs
will be calculated
using the cost-plus
method, the same
as Shenzhen and
Western Inner
Mongolia. It also
encourages other
provinces to
actively prepare for
the coming
reforms, such as
calculating T&D
costs, investigating
T&D assets and
the profitability of
grid companies,
and calculating
reasonable T&D
tariffs. NDRC urges
local Price Bureaus
to work dedicatedly
on this issue and
asks that the State
Grid, Southern Grid
and Inner Mongolia
Grid should co-
operate.
IDEAS ENGINE 8
China Power Sector
Conclusion: Competition is
the key word, which should
gradually take place for both
power retail (introduction of
private capital and multiple
licences) and power
generation (direct supply and
competitive bidding).
Conclusion: The
supplementary document
came in time to reduce
policy confusion on the
role of renewables, which
remain protected in
dispatches. Key change
for nuclear is the idea of
peak load functions.
Conclusion: After
testing the water in
Shenzhen, China has
targeted power retail
management in
multiple regions such
as Beijing, Hebei,
Jiangsu, Guangdong
and Shanghai.
Conclusion: The
T&D reforms are
expanded to Anhui,
Hubei, Ningxia and
Yunnan after test
runs in Shenzhen
and Western Inner
Mongolia.
Source: China Electricity Council, NDRC, Credit Suisse research]
Moving to a liberalised market
China's first power reform in 2002 resulted in a break-up of state power monopoly towards
power grid companies and power gencos (thermal separated from hydro). Thirteen years later,
the progressive attempt should further specify the functions and tariffs of power networks
(separately specifying transmission and distribution tariffs) and introduce market forces for both
generation and retail. As a result, China's electricity industry should largely look like the
Western models such as the UK and the US.
Figure 17: China's first power reform in 2002
Source: Credit Suisse research
Figure 18: China's second power reform post-2015
Source: Credit Suisse research
One of the key conclusions from our first reform report was: If China opens the generation
market to competition in an oversupplied market, power plants with cost advantages could
outbid the higher-cost producers. As a result, market share of these low cost producers could
expand at the expense of lower on-grid tariffs. After introducing the new mechanism (NETA),
the UK saw a rapid reduction in both wholesale and retail electricity prices in the first year of
implementation. The price reductions especially took place with no softening in demand.
IDEAS ENGINE 9
China Power Sector
Figure 19: UK—OTC annual contract prices under NETA—baseload and peak
Source: OFGEM
Figure 20: UK—spot OTC baseload prices and daily electricity demand
Source: OFGEM
The competition could happen largely amongst the base-load power plants, namely thermal
power and possibly hydro. Thermal power (dominated by coal plus small weights of gas and oil)
accounted for about 75% of power output in 2014 and we forecast the contribution to only
reduce to 70% by 2020E. Alternative energy, such as nuclear and renewables, should remain
small even by the end of the decade.
IDEAS ENGINE 10
China Power Sector
A painful process before gain We begin this section by looking at how seriously oversupplied electricity is in China. In 2014,
China recorded thermal utilisation hours of 4,706 (implying a 54% utilisation rate), which is
reportedly the lowest reading in the past 38 years. Utilisation hours of 5,500 are used as a
common industry borderline between shortages and surpluses.
Figure 21: China—power demand/supply/utilisation trend
Source: CEIC
Further downside in utilisation
The power-GDP intensity factor is a way to gauge the amount of electricity inputs required to
support a period of economic activities. Given that the majority of power users in China are
industrial users, power intensity tends to overshoot on either side during sudden changes in
GDP. For example, during 4Q08 and 1Q09, overall power demand was reported as negative
despite quarterly GDP at 7.6% and 6.6%, respectively. Another recent weakness was
recorded in 2Q-3Q12, whereby power demand growth was close to zero as a result of
continuing GDP slowdown that marked the end of the "8%" growth era. Most recently, we saw
a negative growth in power demand in August 2014, the first negative month since 2009.
Figure 22: Power demand vs GDP
Source: CEIC
Figure 23: Monthly power consumption growth (YoY)
Source: CEIC
-5.0%
5.0%
15.0%
25.0%
35.0%
4,000
4,500
5,000
5,500
6,000
6,500
199719981999200020012002200320042005200620072008200920102011201220132014
Thermal power demand Thermal power capacityThermal utilization hours (LHS)
Power shortage
Power oversupply
-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
2.5
3.0
(10)
(5)
0
5
10
15
20
25(x)
(%)
Power gen YoY GDP growth Power-GDP Intensity factor (RHS)
(15)
(10)
(5)
0
5
10
15
20
25
30
Jan-F
eb 0
7
May-
07
Au
g-0
7
Nov-
07
Mar-
08
Jun-0
8
Se
p-0
8
Dec-
08
Ap
r-0
9
Jul-0
9
Oct
-09
Jan-F
eb 1
0
May-
10
Au
g-1
0
Nov-
10
Mar-
11
Jun-1
1
Se
p-1
1
Dec-
11
Ap
r-1
2
Jul-1
2
Oct
-12
Jan-F
eb 1
3
May-
13
Au
g-1
3
Nov-
13
Mar-
14
Jun-1
4
Se
p-1
4
Dec-
14
(%)
IDEAS ENGINE 11
China Power Sector
Figure 24: Power consumption breakdown (2014)
Source: CEIC
Figure 25: Power demand weakness driven by industrials
Source: CEIC
However, besides continuing expansion of alternative energy (hydro, nuclear and renewables),
total thermal capacity additions did not slow down, which could otherwise optimise the utilisation
situation. In 2014, China added a total of 47GW of new thermal capacity (36GW in 2013),
leading to another 6% growth in overall thermal capacity despite a 1% decline in thermal power
generation.
In a less positive scenario where thermal capacity growth continues to outpace demand
(assuming 3% p.a. demand), we could see a sequential slip in thermal utilisation from 4,706
hours in 2014 to 4,000 by 2020. This 15% downside in utilisation would result in huge
earnings/ROE downside for existing coal-fired units.
Consolidation pain
In this scenario, to reduce oversupply and hopefully restore the optimal level of 5,500 hours, a
net reduction of 152GW thermal capacity (or 17% less) is required. The following sensitivity
shows the net reduction in thermal capacity required in each annual demand scenario.
Figure 26: Capacity upside to restore optimal 5,500 hours utilisation
Demand 3% 4% 5% 6% 7%
Capacity reduction -152GW -79GW +56GW 116GW 178GW
2020 capacity upside vs 2014 -17% -9% 6% 13% 19%
Source: Credit Suisse estimates
In a simple exercise, if all the smaller (<300MW) coal-fired units not performing co-generation
functions (power and heat) eventually exit, the IPPs with an average smaller fleet could face
larger shut-down risks coupled with impairment costs involved (before full depreciation). Among
the coal-fired IPPs, Mengdian, Jingneng, CRP and DTP have relatively lower exposure than
HNP and HDP.
Figure 27: Project size distribution of coal-fired power plants of the listed IPPs
Source: Company data, Credit Suisse estimates
Agriculture, 2%
Industrial, 74%
Commercial, 12%
Residential, 13%
(20)
(10)
0
10
20
30
40
50
Jan-
Feb
07
Jun-
07
Oct
-07
Mar
-08
Jul-0
8
Nov
-08
Apr
-09
Aug
-09
Dec
-09
May
-10
Sep
-10
Jan-
Feb
11
Jun-
11
Oct
-11
Mar
-12
Jul-1
2
Nov
-12
Apr
-13
Aug
-13
Dec
-13
May
-14
Sep
-14
Jan-
Feb
15
YoY (%)
Industrial Non-industrial
IDEAS ENGINE 12
China Power Sector
Figure 28: Age distribution of coal-fired power plants of the listed IPPs
Source: Company data, Credit Suisse estimates
Figure 29: Potential impairment costs involving shutdown of smaller units
Capacity (1)
>10 year; (2)
<300MW & not
for cogen
Total
capacity
2014
Percentage BV of such
capacity
Total BV Percentage
(MW) (MW) (Rmb mn) (Rmb mn)
Huaneng Power 17,513 69,981 25% 9,802 71,738 14%
Datang Power 4,360 32,480 13% 1,732 46,539 4%
Huadian Power 4,000 33,596 12% 2,565 32,663 8%
China Resources
Power
1,870 28,980 6% 1,209 59,181 2%
Source: Company data, Credit Suisse estimates
Utilisation gain after the consolidation pain
After consolidation, the survivors should see stable market shares or even higher utilisation. The
winners are therefore those that need to shut down fewer units while enjoying market share
increases after the consolidation, in this case, Mengdian and CRP. But the process can be
painful, especially given the price competition involved. Tariff risks are analysed in the following
part of the section.
Figure 30: China—power demand/supply/utilisation trend (optimal solutions)
Source: CEIC, Credit Suisse estimates
Direct supply is a prelude to lower tariffs
Spot tariffs in a fully competitive market could go down, well evidenced in the UK case with a
similar bilateral model. During the consolidation phase, power plants may compete with each
other on generation costs to gain market share. Bigger and more efficient units could protect or
gain market share by bidding down the tariffs, resulting in the eventual exit of less competitive
units. Therefore, tariffs may even start to rise at the end of the consolidation, which could well
take several years. It is not unlikely that average tariffs will follow the general trend of overall
utilisation (likely a "smile" curve in the above chart").
Besides the recent ad-hoc tariff cut, another indication of lower tariffs is the extended direct
contracts, which did not account for a meaningful part of the power pool until 2014 (2-5% of
the listed IPPs' total power sales). By locking power contracts with customers directly, the
power plants will be able to protect the volume before full-scale competition breaks out. The
drawback is the tariff discounts offered to customers in the oversupplied market. According to
the IPPs, the average contracted tariff was lower but with a large variance (minimum: 4% drop;
maximum: 15% drop). We believe this variance has a lot to do with location- and customer-
specific reasons. In less oversupplied markets such as Shandong and Inner Mongolia, the
bargaining power of power producers may not be as weak as in the significantly oversupplied
areas.
-5.0%
5.0%
15.0%
25.0%
35.0%
4,000
4,500
5,000
5,500
6,000
6,500
1997 1999 2001 2003 2005 2007 2009 2011 2013 2015E 2017E 2019E
Thermal power demand Thermal power capacity
Power shortage
Power oversupply
Survival of the fittest
Consolidation pain
IDEAS ENGINE 13
China Power Sector
Figure 31: Direct sales contribution and average contracted tariff
As % of power sales Discount to benchmark tariff Note
2014 2015E 2014 2015E
Huaneng
Power
3% No guidance 3-4 fen (or 8-10%) No guidance
Datang
Power
<2% No guidance 5-6 fen (or 12-15%) No guidance Some in northeast (large
discount, due to low
thermal utilisation and
thus more competition)
Huadian
Power
3.2% 5.5% 1.7 fen (or 4%) Similar to
2014
Mainly in Shandong
(1.5fen), Ningxia (1.7fen)
CR Power 4.6% 5.8% No disclosure No disclosure Henan, Guangdong, etc.
Source: Company data, Credit Suisse estimates
It is also very likely that the 2-5% contribution could grow much larger in the next few years,
especially ahead of all the uncertainties with power pooling and competitive-bidding. The UK
case (after introduction of the NETA mechanism) suggested that the "bi-lateral" mechanism
(allowing power generators to sell via both spot competition and direct contracts with retailers)
could result in an efficient drop in electricity prices.
How electricity will be traded in a spot market remains a big question mark. In our previous
report, we analysed the difficulty of creating a national network given the large dispersion of
endemic tariffs and economic structure and a regional model may make more sense (the six
regional networks are: Southern, Eastern, Central, Northern, Northwest and Northeast).
Figure 32: The six existing regional power networks
Source: WIND, Credit Suisse research
National or regional pools?
China's large geographical variances in economic conditions and local coal supplies have led to
a large variance in on-grid power tariffs. Guangdong's on-grid tariff is as high as Rmb0.5/kWh
while Xinjiang's is as low as Rmb0.25/kWh. This could result in large cost gaps if all power
plants are pooled into a single arena. For example, if a plant in Guangdong competes with one
in Xinjiang, assuming these two have same net margins, the latter can easily protect or
generate additional volume/profits by outbidding for a tariff that is equal to or higher than the
existing Xinjiang tariff given the large Rmb0.25/kWh tariff difference.
Therefore, regional power pools with similar tariff structure make more sense. We base our
analysis on the existing regional grid systems, and the provinces with largest tariff downside
risks in each of the regional grids are: (1) Guangdong in the Southern Grid (Guangdong,
Yunnan, Guizhou, Guangxi and Hainan); (2) Zhejiang in the Eastern Grid (Zhejiang, Jiangsu,
Fujian, Anhui and Shanghai); (3) Hunan in the Central grid (Hubei, Hunan, Jiangxi, Henna,
Sichuan and Chongqing), Hunan is an outlier; (4) Shandong in the Northern Grid (Beijing,
Tianjin, Hebei, Shanxi and Tianjin); (5) Shaanxi in the Northwest Grid (Shaanxi, Gansu, Ningxia,
Qinghai and Xinjiang); and (6) similar tariff in the Northeast Grid.
IDEAS ENGINE 14
China Power Sector
Figure 33: Provincial differences in coal-fired on-grid tariffs
Region Province On-grid tariff (Rmb/kWh)
Difference with regional average
(Rmb/kWh)
Difference in percentage
Southern Grid Guangdong 0.50 0.06 12%
Hainan 0.48 0.04 8%
Guangxi 0.46 0.02 4%
Guizhou 0.38 -0.06 -16%
Yunnan 0.37 -0.07 -18%
Weighted average 0.44
Eastern Grid Zhejiang 0.46 0.02 4%
Shanghai 0.46 0.02 4%
Fujian 0.44 0.00 0%
Jiangsu 0.43 -0.01 -2%
Anhui 0.43 -0.01 -3%
Weighted average 0.44
Central grid Hunan 0.49 0.04 9%
Hubei 0.46 0.01 2%
Jiangxi 0.46 0.01 1%
Sichuan 0.46 0.00 1%
Chongqing 0.44 -0.01 -3%
Henan 0.42 -0.03 -7%
Weighted average 0.45
Northern Grid Shandong 0.44 0.03 6%
Hebei 0.42 0.01 1%
Tianjin 0.40 -0.01 -2%
Beijing 0.39 -0.02 -5%
Shanxi 0.38 -0.04 -10%
Weighted average 0.41
Northwest Grid Shaanxi 0.39 0.05 12%
Qinghai 0.35 0.01 4%
Gansu 0.33 -0.01 -4%
Ningxia 0.28 -0.06 -22%
Xinjiang 0.25 -0.09 -36%
Weighted average 0.34
Northeast Grid Heilongjiang 0.41 0.00 1%
Liaoning 0.40 0.00 0%
Jilin 0.40 0.00 -1%
Weighted average 0.40
Source: Company data, Credit Suisse estimates
Figure 34: Thermal IPPs' geographical capacity exposure (2015E)
HNP DTP HDP CRP
Guangdong 8.1% 7.9% 2.4% 16.9%
Zhejiang 9.4% 9.6% 6.2% 5.6%
Hunan 2.1% 0.0% 0.0% 1.9%
Shandong 10.8% 0.0% 41.7% 3.5%
Shaanxi 0.0% 0.0% 0.0% 0.0%
Anhui 1.1% 0.0% 11.2% 2.3%
Beijing 1.1% 5.8% 0.0% 0.2%
Chongqing 3.1% 2.1% 0.0% 0.0%
Fujian 4.1% 5.4% 0.0% 0.0%
Gansu 2.5% 1.5% 0.0% 0.0%
Guangxi 0.0% 0.0% 0.0% 3.2%
Guizhou 0.0% 0.0% 0.0% 0.0%
Hainan 3.6% 0.0% 0.0% 0.0%
Hebei 3.8% 27.1% 14.0% 8.8%
Heilongjiang 0.0% 0.0% 0.0% 0.0%
Henan 6.1% 0.0% 7.6% 15.5%
Hubei 4.4% 0.0% 0.0% 10.6%
Inner Mongolia 0.0% 12.4% 0.0% 1.4%
Jiangsu 9.7% 6.1% 0.1% 26.7%
Jiangxi 6.0% 1.9% 0.0% 0.0%
Jilin 0.0% 0.0% 0.0% 0.0%
Liaoning 7.2% 2.5% 0.0% 3.3%
Ningxia 0.0% 2.5% 8.3% 0.0%
Qinghai 0.0% 0.0% 0.0% 0.0%
Shanghai 6.0% 0.0% 0.0% 0.0%
Shanxi 3.5% 11.4% 2.0% 0.0%
Sichuan 0.0% 0.0% 6.4% 0.0%
Tianjin 1.7% 3.8% 0.0% 0.0%
Tibet 0.0% 0.0% 0.0% 0.0%
Xinjiang 0.0% 0.0% 0.0% 0.0%
Yunnan 5.5% 0.0% 0.0% 0.0%
Exposure to high-
risk regions
30% 17% 50% 28%
Source: Company data, Credit Suisse estimates
IDEAS ENGINE 15
China Power Sector
Figure 35: Potential EPS impact based on regional power pooling averages
Source: Company data, Credit Suisse estimates
National champions does not mean lower costs players
Intuitively, investors would think that the Big Five gencos should be better positioned given their
vast market share (40% of capacity share in 2013) and profitability. However, by examining the
operating and net margins of the listcos, we found that the listed subsidiaries of the Big Five
gencos are in the mediocre part of the distribution.
Figure 36: Capacity market share (2013)
Source: Company data
Figure 37: Capacity market share of key listcos (2013)
Source: Company data
Figure 38: Distribution of profit margins of listed IPPs
Source: Company data, Credit Suisse estimates
Meanwhile, the IPPs have enjoyed rapidly declining fuel costs (largely coal) since 2011 and the
average coal consumption rate has declined by ~15% over the past ten years and is getting
close to the average level of developed countries (around 300 g/kWh). We forecast stable
SG&A expenses over the next few years, so there could be more room to cut non-fuel
expenses if competition heats up.
-11.5%-10.6%
-8.9%
-3.3%
-14.0%
-12.0%
-10.0%
-8.0%
-6.0%
-4.0%
-2.0%
0.0%
HDP HNP CRP DTP
Datang Group,
9.3%
Huaneng
Group, 11.5%
Huadian Group,
9.0%
Guodian Group,
9.8%
Others, 60.4%
HNP, 5.4% DTP, 3.1%
HDP, 2.9% CRP, 2.2%
CYP, 2.0%
Chuantou,
0.5%
SDIC, 2.5%
Others, 81.4%
0.0
10.0
20.0
30.0
40.0
50.0
60.0
0.0 5.0 10.0 15.0 20.0 25.0 30.0 35.0 40.0 45.0
Operating margin (%)
Net margin (%)
CYP
CRP
SDIC
HNP
HDP
DTP
IDEAS ENGINE 16
China Power Sector
Figure 39: Listed IPPs' unit fuel cost trend
Source: Company data, Credit Suisse estimates
Figure 40: China's overall coal consumption rate
Source: NEA
Figure 41: Listed IPPs' SG&A expense trend
Source: Company data, Credit Suisse estimates
Figure 42: Employee per MW for the listed IPPs
Source: Company data
Furthermore, within the thermal-based IPPs (CYP, SDIC and Chuantou derive their earnings
mostly from hydro power), CRP has the youngest fleet (~50% of the plants are less than five
years old), which would mean a lighter burden on performance issues and repair costs.
High incentives for IPPs exposed to tariff risks to invest into retail
If the power pools follow regional models (based on the existing regional grid systems), the
largest tariff pressure could take place in Guangdong, Zhejiang, Hunan, Shandong and
Shaanxi. In this case, power producers exposed to these provinces have larger incentive to
protect margin erosion by investing into the retail business. If the realised wholesale prices are
lower than the existing on-grid tariffs, power retailers could purchase electricity at lower costs
while trying to sell at normal retail tariffs. Of course, if competition intensifies at the retail level,
such cost advantages would reduce over time.
IDEAS ENGINE 17
China Power Sector
Stay in safer waters In a "fire and ice" era, we prefer power producers that can offer better visibility either through
government-mandated support or output protection driven by location-specific reasons, coupled
with protection of tariff risks. Therefore, the following groups stand out:
(1) Renewables such as wind power operators are positioned at sweet spots.
(2) Clean energy such as hydro power. Within hydro, we prefer low-cost producers exposed to
lower tariff cut risks.
(3) Local utilities with protective utilisation and potential to enter new power retail markets.
(4) Nuclear operators could face issues of lower utilisation hours with more flexible peak
functions.
The power of priority
Given the high cost and intermittency issues of renewable energy and non-stop features of
nuclear power, they are unlikely to be included in the power pool, in our view. China's current
power dispatch order protects the on-grid purchases of renewable energy and nuclear energy.
According to the policy, power grid companies are required to follow a pecking order of: (1)
maximum purchase of renewable energy (wind, solar, marine energy, hydro and renewables
with no flexibility in power generation adjustments), (2) hydro, biomass, geothermal and other
renewables with flexibility of adjustments, (3) nuclear power, (4) co-generation coal-fired power
(power and heat), (5) gas-fired power and coal gasification power, (6) coal-fired power and (7)
oil-fired power.
Potential overhang for nuclear and hydro tariffs
Although nuclear and renewables may be free from pooling, tariff risks could emerge with
further downside adjustment of coal-fired tariffs, which are usually the benchmark prices.
1. Nuclear tariff
The on-grid tariffs of CGN's nuclear projects which commenced operation before 2013 were
determined project-by-project in accordance with fixed costs and operating costs. According to
NDRC's Circular on Relevant Issues Concerning Improving the On-grid Tariff Mechanism for
Nuclear, nuclear generating units (Gen-II) that started operations after 1 January 2013, will be
subject to a national benchmark no-grid tariff of Rmb0.43/kWh (including the 17% value-
added tax). However, it is worth noting that the tariff set for Hongyanhe's first two units has
been Rmb0.4142/kWh, which is same as the local benchmark tariff for coal-fired power before
the adjustment in September 2014.
Figure 43: China's electricity purchase priority list
Source: NDRC, Credit Suisse research
Given the high cost and reliability issues of renewable energy and non-stop features of nuclear
power, they are unlikely to be included in the power pool, in our view. China's current power
dispatch order protects the on-grid purchases of renewable energy and nuclear energy.
Figure 44: Comparison between coal-fired benchmark price and CGN's tariff
Rmb/kWh
(including VAT)
Coal-fired benchmark
price (2011-2012)
Coal-fired benchmark price
after the 2014 price cut
Tariff of CGN's units in
the provinces
Liaoning 0.4142 0.4044 0.4142
Fujian 0.4528 0.4379 0.43
Guangdong 0.5290 0.5020 0.42/0.43
* The benchmark price includes desulfurisation, denitration and de-dust subsidy.
Source: Company data.
Wind, solar, marine energy, hydro and other renewables (with no flexibility in power generation)
Hydro, biomass, geothermal and other renewables (with flexibility in power generation) & waste-to-energy
Nuclear power
Co-generation coal-fired power
Gas-fired power and coal gasification power
Coal-fired power (units with lower energy consumption and emissions have higher dispatch priority)
Oil-fired power
IDEAS ENGINE 18
China Power Sector
2. Hydro tariff
Hydro power tariffs were previously set on a plant-by-plant basis usually based on cost-plus
models (reasonable return based on budgeted capex and opex). However, China is working on
a different pricing option for hydro power designed for outer transmissions. The so-called
retrograde method is calculated by deducting on-grid selling tariff by transmission charges.
CYP's parentco's new plants—Xiluodu and Xiangjiaba—have much higher pricing than the
current Gezhouba and Three Gorges units given that the calculation is now benchmarking to the
new method. Similarly, the Yalong River projects (owned by SDIC and Chuantou) also enjoy this
calculation, although most hydro tariffs are still lower than coal-fired tariff, which is now at
Rmb400/MWh including VAT. The differences are slightly smaller, if we take into consideration
the hydro VAT rebates currently enforced.
Figure 45: Hydro tariff comparison
Company Hydro tariff in 2013
(incl. VAT, Rmb/MWh)
Hydro tariff in 2013
(ex. VAT, Rmb/MWh)
Below national
coal tariff
CYP (Three Gorges) 262 243 -29%
CYP (Gezhouba) 215 199 -42%
CYP (Xiluodu &
Xiangjiaoba)
348 322 -6%
SDIC/Chuantou
(Yalong River)
320 296 -13%
Average coal-fired
tariffs
400 342 0%
Source: Company data, Credit Suisse estimates
Figure 46: Theoretical downside of nuclear and hydro tariffs
Location of
power
generation
units
Location of
power
consumers
On-
grid
tariff
Long-
distance
transmis
sion cost
Implied
local
tariff
Current
local on-grid
tariff (by
Dec-2014)
Local
on-grid
tariff
(2016E)
Down-
side
(%)
Jinguan Power Units (锦官
电源) – Hydro (exposed by
SDIC Power and
Chuantou)
Sichuan Jiangsu 0.320 0.100 0.420 0.419 0.384 -9%
Three Gorges Power Units
– Hydro (exposed by China
Yangtze Power)
Hubei Zhejiang/Jian
gsu/Shangha
i
0.262 0.08-0.10 0.350 0.42-0.45 0.38-0.41 N.A.
Nuclear units (exposed by
CGN Power)
Liaoning Liaoning 0.414 0.414 0.392 0.357 -14%
Shandong Shandong 0.430 0.430 0.427 0.392 -9%
Jiangsu Jiangsu 0.430 0.430 0.419 0.384 -11%
Fujian Fujian 0.430 0.430 0.426 0.391 -9%
Guangdong Guangdong 0.430 0.430 0.490 0.455 N.A.
Source: Company data, Credit Suisse estimates
The renewable quotas are on the way
The recent supplementary document (NDRC [2015] 518 Document) made it clear that
renewable energy should be protected. The figures below show that besides the nature-related
fluctuations, wind power has also faced curtailment issues (grid's failure to fully purchase). We
believe that China should finalise the "Renewable Quotas System (RQS)" within 2015 to ensure
the protection, with coordinated efforts between local government and grid cos.
Figure 47: Utilisation hours of key clean energy
Source: CEIC
Figure 48: Annual curtailment rates of wind power
Source: NDRC
0
2,000
4,000
6,000
8,000
Hydro Nuclear Wind
(hours)
2010 2011 2012
IDEAS ENGINE 19
China Power Sector
China started planning the renewable quota system in December 2009. The first draft for
discussion was issued in February 2012, which specified the responsibilities of IPPs
(renewables as a % of power generation), grid companies (renewables as a % of power
purchased), and local governments (renewables as a % of power consumption). For example,
wind will account for 3.5% of China’s power consumption by 2015; State Grid and Southern
Grid have to purchase 5% and 3.2% of renewables power as a % of their total power purchases by
2015; large IPPs’ renewables should account for 11% and 6.5% of their capacity and power
generation, respectively, by 2015. In early 2013, the second draft for seeking advance was issued
by the National Energy Administration. According to media such as Sina , it made several changes
compared with the first draft, including: (1) Local governments were designated as the major entities
to take the responsibilities of accepting renewable energy and (2) it slightly adjusted the renewable
portfolio for each province. Recently, news reports such as CN Stock's suggested that the final
version of the renewable quota system assessment method has passed NDRC discussion and has
been submitted to the State Council.
We believe that the NDRC is collecting the proposals from local governments. According to local
press such as China Power, Inner Mongolia and Hubei have already given their 2015 proposals.
Inner Mongolia is targeting 15% of local power consumption from wind power and this is largely
consistent with the previous draft and does not represent a large upside looking at the 2014 power
generation (15.7% of local consumption). Hubei has proposed local power groups to have
renewable generation capacity contributing >3%, >6% and >10% by 2015, 2017 and 2020. In our
view, the low hanging fruits are: Hebei, Liaoning, Jilin and Heilongjiang, whereby curtailments in
2014 remained high and wind power output as a % of total output is below previous targets.
Figure 49: Wind outputs contribution vs previous draft of RQS
RQS (previous
draft)
2012 2013 2014 2014
curtailment
Beijing 6.0% 0.4% 0.3% 0.3% 0.0%
Tianjin 6.0% 0.7% 0.7% 0.8% 1.0%
Hebei 6.0% 4.1% 4.7% 4.9% 12.0%
Shanxi 6.0% 2.0% 3.2% 4.3% 0.0%
Inner Mongolia 15.0% 13.8% 17.2% 15.7% 9.0%
Liaoning 10.0% 4.0% 5.0% 5.0% 6.0%
Jilin 10.0% 7.0% 9.2% 8.7% 15.0%
Heilongjiang 10.0% 6.2% 8.2% 8.5% 12.0%
Shanghai 3.0% 0.4% 0.5% 0.5% 0.0%
Jiangsu 4.0% 0.8% 0.9% 1.1% 0.0%
Zhejiang 1.0% 0.2% 0.3% 0.4% 0.0%
Anhui 3.0% 0.3% 0.6% 0.8% 0.0%
Fujian 3.0% 1.7% 2.1% 2.0% 0.0%
Jiangxi 3.0% 0.4% 0.5% 0.6% 0.0%
Shandong 6.0% 1.7% 2.2% 2.4% 1.0%
Henan 3.0% 0.1% 0.2% 0.2% 0.0%
Hubei 1.0% 0.1% 0.3% 0.8% 0.0%
Hunan 4.0% 0.2% 0.4% 0.6% 0.0%
Guangdong 3.0% 0.2% 0.5% 0.2% 0.0%
Guangxi 1.0% 0.1% 0.2% 0.2% 0.0%
Hainan 1.0% 2.3% 2.6% 2.0% 0.0%
Chongqing 1.0% 0.1% 0.2% 0.2% 0.0%
Sichuan 3.0% 0.0% 0.0% 0.2% 0.0%
Guizhou 4.0% 0.5% 1.1% 1.5% 0.0%
Yunnan 6.0% 2.1% 3.1% 4.1% 4.0%
Shanxi 6.0% 0.2% 0.6% 1.1% 2.0%
Gansu 10.0% 9.5% 11.1% 10.5% 11.0%
Qinghai 6.0% 0.0% 0.1% 0.6% 0.0%
Ningxia 10.0% 5.1% 7.5% 7.9% 0.0%
Xinjiang 10.0% 4.0% 5.8% 9.1% 15.0%
National 2.1% 2.6% 2.8% 8.0%
Source: NDRC
IDEAS ENGINE 20
China Power Sector
Figure 50: Geographical split of capacity (2014)
Longyuan Huaneng Re Datang Re Huadian Fuxin Suntien
Heilongjiang 9% 0% 7% 10% 0%
Jilin 3% 1% 11% 4% 0%
Liaoning 7% 17% 6% 3% 0%
Inner Mongolia 18% 24% 42% 31% 0%
Jiangsu 9% 0% 0% 2% 0%
Zhejiang 1% 0% 0% 0% 0%
Fujian 4% 0% 0% 1% 0%
Hainan 1% 0% 0% 0% 0%
Gansu 8% 0% 9% 25% 0%
Xinjiang 10% 3% 0% 8% 0%
Hebei 8% 5% 1% 3% 90%
Yunnan 4% 11% 2% 2% 0%
Anhui 4% 0% 1% 1% 0%
Shandong 2% 13% 8% 1% 0%
Tianjin 1% 0% 0% 0% 0%
Shanxi 4% 10% 3% 4% 10%
Ningxia 2% 0% 4% 0% 0%
Guizhou 3% 9% 0% 0% 0%
Tibet 0% 0% 0% 0% 0%
Shaanxi 1% 1% 2% 0% 0%
Hunan 0% 0% 0% 2% 0%
Guangdong 0% 5% 1% 2% 0%
Shanghai 0% 1% 2% 0% 0%
Guangxi 0% 0% 0% 0% 0%
Henan 0% 0% 2% 0% 0%
Chongqing 0%
Others 1%
Total 100% 100% 100% 100% 100%
Northeast 19% 18% 23% 17% 0%
Hebei 8% 5% 1% 3% 90%
Subtotal 27% 23% 24% 20% 90%
Source: Company data, Credit Suisse estimates
Rising uncertainties with nuclear power
While there is much debate whether nuclear tariffs could be revised down according to the
changes in coal-fired tariffs, we see utilisation and technology as the two issues that are more
likely to occur than the tariff debates themselves.
Moving to peak-load function
According to the supplementary document for power reform (NDRC [2015] 518 Document),
nuclear power may be considered for peak functions over time. This is not a major risk to the
long perceived stable and close-to-maximum utilisation hours a nuclear reactor can enjoy in
China. Given lack of details and regulatory guidance, we believe that such uncertainty may
apply to oversupplied locations such as Liaoning, if it happens.
CGN's nuclear units are exposed to three provinces: Guangdong (Daya Bay, Ling'ao,
Lingdong, Yangjiang and Taishan), Fujian (Ningde) and Liaoning (Hongyanhe). By capacity
contribution, Guangdong, Zhejiang and Fujian had over 8% local power capacity contribution as
of November 2014 while Liaoning and Jiangsu were lower. However, it is important to note
that Liaoning, as a Northeast province, also harnessed 15% of capacity exposure to wind
power.
Figure 51: Power demand growth in 11M14
Source: CEIC
Figure 52: Thermal utilisation hours in 11M14
Source: CEIC
IDEAS ENGINE 21
China Power Sector
Figure 53: Nuclear capacity contribution (11M14)
Source: CEIC
Figure 54: Wind capacity contribution (11M14)
Source: CEIC
Rising uncertainties around Generation-III technology
China's restart in nuclear projects is fast paced. YTD, the State Council has given the green
light to two new projects (Hongyanhe Unit 5-6 and Fuqing 5-6). However, how fast the other
projects in the approval pipelines can go ahead is uncertain as most of the others will be based
on foreign Generation-III technology (AP1000). This is especially true as the two recent
approvals are largely standard with Chinese modifications (ACP and Hualong One). In our view,
given the pending issues with Taishan EPR project, whether the government will aggressively
approve additional AP1000 projects (no operational track record and various delays in the past)
is a big question mark.
Figure 55: A list of projects that may receive final approval
Projects Capacity
(GW)
Type Approval status Operator
Hongyanhe #5/6 (红沿
河2期)
2.3 ACPR1000 Approved CGNPC, CPI
Fuqing #5/6 (福清2
期)
2.3 Hualong One Approved CNNC, Huadian
Fuxin
Xudapu #1/2 (徐大堡) 2.5 AP1000 Not yet CNNC, Datang
Lufeng #1/2 (陆丰) 2.5 AP1000 Not yet CGNPC
Shidaowan #1/2 (石岛
湾)
2.8 CAP1400 Not yet SNPTC, Huaneng
Haiyang #3/4 (海阳2
期)
2.5 AP1000 Not yet CPI, Guodian,
CNNC, Huaneng
Sanmen #3/4 (三门2
期)
2.5 AP1000 Not yet CNNC, CPI,
Huadian
Source: Caixin, the Economic Observer, the Paper, World Nuclear Association
Figure 56: China's nuclear technology roadmap by technology owners
Note: IPR stands for Intellectual Property Rights.
Source: Company data, Credit Suisse research
SNPTC
CGN
CNNC
Gen II Gen II+ Gen III
French
M310
(Daya Bay in 1994)
CRP-1000
CNP-300
(Qinshan Ph.I in 1994)
CNP-600
(Qinshan Ph.II)
ACP1000
(mainly developed by CGN
while Areva retains IPR)
ACRP1000+
(full Chinese IPR) Hualong
One
Candu 6
(Canadian)
EPR (French)
AP1000 CAP1400
AES91
(Russian)
(Qinshan Ph.III in 2002)
(at Taishan)
(full Chinese IPR)
(full Chinese IPR)
Foreign
technology
Domestic
technologyLegend
(at Tianwan)
IDEAS ENGINE 22
China Power Sector
Background of EPR issues: According to local press (chinanews.com), China's National
Nuclear Safety Association responded to an earlier warning from French authorities on potential
safety issues concerning the Taishan nuclear project under construction. The Chinese
authorities have dispatched professionals to inspect the project and suggested no operation
until full clearance.
The Taishan project is owned and operated by CGN Power (CGN) and most recently, the listed
company has completed the asset purchase of the remaining shares from parentco, consistent
with the purpose of IPO proceeds. The project is also one of the few Generation-III units under
construction based on French EPR technology.
According to South China Morning Post, France's nuclear safety authority has recently warned
that Taishan could face safety issues after it found weak spots (excessive concentration of
carbon in steel parts of the reactor vessel) of a similar reactor, the Flamanville EPR nuclear
power plant. The toughness of the reactor shell is crucial because it relates to the ability of the
material to withstand propagation of cracks. However, the excessive carbon would lead to
"lower-than-expected mechanical toughness values" according to the French nuclear regulator
ASN.
Tariffs are unknown
Given that Gen-III units usually require higher upfront investment and there has been no official
benchmark tariff yet, we refer to CNNC's Sanmen project as a reference. The tariff of Sanmen
project is also undetermined but CNNC provided some explanations in the company's
prospectus for the proposed IPO on the Shanghai Stock Exchange: "The required tariff for
Sanmen would be Rmb0.51/kWh to achieve the 9% equity IRR investment threshold, if the
total capital expenditure on the Sanmen project reaches ~Rmb19,000/kW (or 20% beyond the
previous budget of Rmb16,000/kW)." While the technology standards of Taishan and Sanmen
are different, they are both classified as Generation–III standards, so we forecast Taishan with
the same tariff of Rmb0.51/kWh. According to the prospectus, the current investment budget
for the Taishan 2 x 1,750 units is around Rmb21,000/kW. In this case, base case equity IRR is
only 11%, lower than 17% for Gen-II+ projects.
Figure 57: Equity IRR of Gen-III projects
Construction cost /Tariffs Rmb/kWh
Rmb/kW 0.43 0.47 0.51 0.55 0.59
17,000 10.0% 12.5% 14.8% 16.4% 18.9%
19,000 8.0% 10.3% 12.5% 14.6% 16.6%
21,000 6.6% 8.6% 10.6% 12.6% 14.5%
23,000 5.4% 7.2% 9.0% 10.9% 12.6%
25,000 4.4% 6.0% 7.7% 9.4% 11.0%
Source: Company data, Credit Suisse estimates
Transmission themes in Western Inner Mongolia
(WIM)
Not only Inner Mongolia could be an area of reform target after Shenzhen, there are also strong
opportunities for local power generators to transmit outbound power. In 2014, thermal and wind
accounted for 73% and 22% of Inner Mongolia's power supply. The western part (WIM) of the
district accounted for one-third of the entire Inner Mongolia with the remaining generated in
EIM. The outbound transmission (to EIM or to neighbouring provinces like Shaanxi) was 34%
(or 123 bn kWh) of total power generation from WIM and the western grid can sell power to the
eastern grid as well as to Shaanxi and the Northern Grid network.
Figure 58: Structural of the Inner Mongolia power grid
Source: WIND, Credit Suisse research
Additionally, the outbound transmission should be further supported by additional long-distance
transmission (capacity to be built. In the next 3-4 years, we expect about 57GW of ultra-high
voltage transmission to be completed for the entire province and about 22GW in WIM. These
should help protect utilisation and further capacity ramp-up of both coal-fired and wind power
capacity.
IDEAS ENGINE 23
China Power Sector
Figure 59: Outbound ultra-high voltage transmission in the pipeline
Lines Chinese name Location MW Year of likely
completion
Ximeng-Shandong 锡盟-山东 EIM 9,000 2016
WIM - Tianjin 蒙西-天津 WIM 6,000 2016
Shanghaimiao - Shandong 上海庙-山东 WIM 8,000 2017
Ximeng-Jiangsu 锡盟-江苏 EIM 8,000 2017
Zhalute-Henan 扎鲁特-河南 EIM 10,000 2018
Humeng-Qingzhou 呼盟-青州 EIM 8,000 2018
WIM - Hubei 西盟-湖北 WIM 8,000 2018
WIM total 22,000
EIM total 35,000
Source: State Grid, NDRC, Credit Suisse estimates
Figure 60: Power output growth—local vs national
Source: CEIC
Figure 61: Thermal utilisation hours—local vs. national
Source: CEIC
Limited pressure from wind power
Given that wind power is the second-largest generation source in the region, local coal-fired
utilisation could be impacted by protective schemes of wind power. Recent local press reports,
such as those by China Power, suggested that Inner Mongolia has finalised the Renewable
Quotas, targeting to achieve 15% of power consumption on wind for 2015. In our view, this is
not a threat as wind was about 14% of consumption in 2014. Meanwhile, the scheme targets
to keep wind utilisation hours at 2,000 hours for WIM and 1,800 for EIM. In 2014, the average
utilisation hours for Inner Mongolia was about 2,000 hours, which is largely within the range of
the scheme. As a result, it is reasonable to assume that the protective scheme for wind power
dispatches should pose limited threat to local coal-fired operators in the near term.
Less oversupplied and direct supply is more favourable
In 2014, Inner Mongolia was one of the very few provinces that enjoyed >5,000 thermal
utilisation hours, thanks to the favourable demand-supply helped by outbound transmission.
Industrial accounted for close to 90% overall power consumption and local GDP has outpaced
the national average for years (in 2014, local GDP grew 7.8% vs China's average at 7.4%).
Average industrial end-user tariff in the province was much lower than most other districts,
making large tariff discounts less likely when the local power producers enter direct supplies
with customers.
15
12
67
4
1921
8 8
n.a.0
5
10
15
20
25
2010 2011 2012 2013 2014
(%)
China Inner Mongolia
5,031
5,294
4,9655,012
4,706
4,559
5,1025,043 5,085 5,130
4,000
4,200
4,400
4,600
4,800
5,000
5,200
5,400
2010 2011 2012 2013 2014
(Hours)
China Inner Mongolia
IDEAS ENGINE 24
China Power Sector
Figure 62: Local power consumption breakdown (2013)
Source: CEIC
Figure 63: Local GDP vs. national GDP growth (2005-14)
Source: CEIC
Figure 64: Provincial thermal utilisation hours (2014)
Source: CEIC
Figure 65: Provincial average industrial power tariffs (2014)
Source: NDRC
Power retail in West Inner Mongolia
Besides outbound transmission, another investment theme is the opening-up of local power retail business. After Shenzhen, the next market could be the Western Inner Mongolia grid, which is the only provincial level grid, outside the operating range of State Grid and China Southern Grid.
Power retail is an asset-light and service-driven business. Based on a 3% net margin (according to Western examples), the retail market (if fully opened) could be a market with Rmb100 bn annual profit. The power producers (IPPs) have a natural interest to expand to downstream markets to hedge long-term risks from competition-based generation market. However, the IPPs backed by local governments may have stronger advantages than national IPPs backed by the central government, if the power retail market is governed by local government. The stocks listed in Hong Kong are largely national IPPs. In many Western models, city gas distributors also happen to be power retailers. This could also take place in China, whereby city gas distributors could leverage on existing relationships with customers and local government to offer bundled power/gas products.
2%
89%
4% 5%
Agriculture
Industrial
Services
0 1,000 2,000 3,000 4,000 5,000 6,000 7,000
TibetYunnanSichuan
JilinShanghai
HunanHeilon…
GuangxiHubeiChong…Guang…Gansu
LiaoningGuizhou
HenanZhejiang
BeijingJiangxiFujianShanxiAnhui
I.M.Shando…
HebeiJiangsu
XinjiangTianjin
ShaanxiQinghaiHainanNingxia
Hours
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
HubeiJilin
ShanghaiTianjinAnhui
GuangxiGuang…
LiaoningJiangsu
HebeiZhejiangChongq…BeijingHeilong…
GansuFujian
Shando…Jiangxi
ShaanxiHenanHunan
NingxiaSichuan
ShanxiYunnan
GuizhouHainan
QinghaiI.M.
Xinjiang
Rmb/KWh
IDEAS ENGINE 25
China Power Sector
Retail markets with high end-user tariffs can be attractive initially but risks could rise with
increasing competition. In general, we believe that it is positive for IPPs and city gas distributors
to invest in a new business but whether the investment is accretive will vary case-by-case.
Unlike power networks (transmission and distribution) operating on cables, transformers and
switchgears, the last mile power retail is an asset-light (largely metering/billing system and
ownership of small networks) and service-centric business model, the competing retailers after
opening-up could largely compete on operating costs and service quality. The strong
competition and high churn rate (measuring customer switching frequency) in Australia, for
instance, implies the essence of quality customer service and reliable energy supplies.
In the UK, retail profit margins vary but follow consistent trends among competitors. If China
fully opens the retail market (not just the incremental part), based on a 3% average net profit
margin, total retail industry earnings could be as high as Rmb100 bn a year based on 2014
power consumption data. This is a significant part of the overall power generation/supply profits
(government reported Rmb423 bn in 2014). For the listcos, such a profit opportunity could be
lucrative for the listed IPPs (total net profit of Rmb51 bn) and city gas companies (total net
profit of Rmb17 bn) under our coverage.
Figure 66: UK retail—domestic supply margins 2009-2012
Source: OFGEM
Figure 67: China—power retail earnings potential
Source: CEIC, Credit Suisse estimates; listed companies are those under Credit Suisse coverage
Acquisition costs may not be substantial if the retailers are not to have ownership in networks.
In the UK, surveys suggest there are a number of fixed entry costs, with developing IT systems
for customer acquisition, customer information, and billing being the single biggest entry cost.
Estimates ranged from £1 mn to £2 mn for a firm seeking to enter at a relatively small scale,
and £5-20 mn for firms seeking to acquire a customer base of up to two million. The retail
profit should depend on the initial profitability structure established by the reform and level of
subsequent competition. Surveys suggest that in most years, more than 80% of the customers
are aware of the availability of supplier switch in the UK. A similar study shows that more than
75% of the supply switches were due to the belief that new offers are cheaper. Australia's
churn rate (a large range but Credit Suisse survey shows around 30% level in Victoria) is larger
than that in the UK (10-15%). However, whether such profitability can be sustained will depend
on the initial profitability structure established by the reform and level of subsequent
competition.
Other local power utilities
Besides Mengdian and Jingneng, there are a large number of A-share listed local utilities
exposed to less oversupplied regions (besides Inner Mongolia) such as Xinjiang, Qinghai,
Ningxia and Shandong. These utilities may also have better advantages when bidding for future
power retail business given their local background. On the other hand, the Hong Kong-listed
IPPs are all directly managed by central SASAC, which means they could have lower local
government influence than the energy companies backed by local governments. This is
especially interesting if the new operation rights are approved and governed by local
governments in the future.
100
51
17
0
20
40
60
80
100
120
Power retail @ 3% netmargin
Listed IPPs Listed city gas
(Rmb bn)
IDEAS ENGINE 26
China Power Sector
Figure 68: Locations of local power utilities
Source: WIND, Credit Suisse research
IDEAS ENGINE 27
China Power Sector
Sell the national IPPs In a world of safety for power gencos, we like: (1) Wind operators (top picks: Huaneng
Renewables and Longyuan), (2) Low-cost Hydro (China Yangtze Power) and (3) Local IPPs
protected by policies (top pick: Mengdian). We are negative on National IPPs (top sells:
Huaneng A/H, China Resources Power).
Figure 69: Recommendation summary of China power operators
POSITIVE NEGATIVE
Wind National IPPs
Huaneng Renewables (0958.HK) Huaneng Power-H (0902.HK) – top sell
Longyuan Power (0916.HK) Huaneng Power-A (600011.SS) – top sell
Low-cost hydro CR Power (0836.HK) – top sell
Yangtze Power (600900.SS) Datang Power-A (601991.SS)
Local IPPs Huadian Power-H (1071.HK) – downgrade to U/P
Jingneng (600578.SS) – initiation Huadian Power-A (600027.SS)
Mengdian (600863.SS) – initiation Nuclear
CGN Power (1816.HK) – downgrade to U/P
Source: Credit Suisse estimates
Figure 70: Matrix of volume/tariff visibility going into the power reform
Source: Credit Suisse estimates
Unsustainable valuation ahead of major headwinds
Following the recent share price strength, national IPPs are now trading at stretched multiples
with 12-month forward P/B nearing a five-year high despite likely pressure on future ROE. The
12-month dividend yield is also around 1 standard deviation below the five-year mean at around
4%. The current valuation could weaken the positive thesis of buying these names on the back
of near-term dividends. If we adjust the calculation to look at three-year forward multiples
(where we could see a meaningful downside in ROE), the multiple could become even more
stretched than the 12-month calculation.
Figure 71: National IPPs—one-year forward P/B history
Source: Bloomberg, Credit Suisse estimates, excluding Datang
0%
4%
8%
12%
16%
20%
0.4
0.6
0.8
1.0
1.2
1.4
1.6
Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Jan-15
ROE (RHS)
0.8x Avg-1SD
0.6x Avg-2SD
1.0x Avg
1.2x Avg+1SD
1.4x Avg+2SD
(x)
IDEAS ENGINE 28
China Power Sector
Figure 72: National IPPs—one-year dividend yield
Source: Bloomberg, Credit Suisse estimates, excluding Datang
Figure 73: National IPPs—three-year forward P/B history
Source: Bloomberg, Credit Suisse estimates, excluding Datang
Figure 74: National IPPs—three-year dividend yield
Source: Bloomberg, Credit Suisse estimates (excluding Datang)
Meanwhile, wind operators' valuation should continue to be supported by a recovering ROE
over the coming years, helped by potential improvement in utilisation hours (stabling wind
resources from 2014 low and gradual reduction in curtailment risks).
Figure 75: Wind operators—1-year forward P/B history
Source: Bloomberg, Credit Suisse estimates
0%
2%
4%
6%
8%
10%
12%
14%
0.0
0.5
1.0
1.5
2.0
Jan-11 Jan-12 Jan-13 Jan-14 Jan-15
ROE (RHS)
0.9x Avg-1SD
0.4x Avg-2SD
1.3x Avg
1.7x Avg+1SD
2.1x Avg+2SD
(x)
IDEAS ENGINE 29
China Power Sector
Figure 76: Wind operators—three-year forward P/B history
Source: Bloomberg, Credit Suisse estimates
Utilities not a choice in a bull market
With the recent liquidity-driven rallies in both A- and H-share indices, it is probably also relevant
to look at how history unfolded for such cycles. For example, the China IPPs (especially the
HK-listed shares) were notable underperformers during 2006, 2007 and 2009 and remain so
YTD this year. On the other hand, city gas outperformed substantially during 2007 and 2009
despite lagging slightly YTD while hydro underperformed during 2006 and 2009 but
outperformed in 2007. Nuclear and wind have too short history to draw any conclusion.
Figure 77: Relative annual share price performance
(Relative) Gas Wind IPPs-H IPPs-A Hydro Nuclear HSCEI CSI300
2005 6% n.a. -20% -13% -14% n.a. 12% -8%
2006 -79% n.a. -20% -110% -91% n.a. 94% 121%
2007 35% n.a. -9% 52% 143% n.a. 56% 162%
2008 10% n.a. 6% 5% 29% n.a. -51% -66%
2009 112% n.a. -62% -65% -93% n.a. 62% 97%
2010 -3% -28% -15% -21% -5% n.a. -1% -13%
2011 25% -7% 25% 18% 6% n.a. -22% -25%
2012 23% -26% 32% 3% 22% n.a. 15% 8%
2013 59% 106% 12% -8% 19% n.a. -5% -8%
2014 -21% -34% 38% 38% 64% 10% 11% 52%
2015 YTD -6% 6% -15% -22% -17% 11% 23% 28%
Source: Company data, Credit Suisse estimates
Thoughts on A–H gaps
One of the market phenomenons since 4Q14 has been the close share price movement in
the dual-listed stocks, namely the three dual-listed IPPs (Huaneng, Datang and Huadian).
The A-shares have been historically trading at an average 84% premium over H-shares for
the same companies over the past ten years. That premium soared to 100-200% during
2007 driven by a much stronger rally in the domestic market (CSI 300 Index outperformed
HSCEI by 101% during the year) and then narrowed during 2008 when A-shares
underperformed. Since 2010, the A-share premium for DTP, HNP and HDP has been
relatively more stable than before, and HNP-A has traded at a smaller premium than peers.
Starting 2020, we see a trend of convergence in A/H share prices for HNP and HDP, even
as the recent A-share rally pushed up the A-share premium to a level that is still not
excessive at 10-20%. HNP-A was trading at a discount (<20%) to its H-share during Apr-
Dec 2014. With mutual access of liquidity, we expect the valuation gap to reduce over time,
which suggests a much larger downside in Datang-A, which is still trading at a huge premium
to its H-share.
Figure 78: China IPPs—A/H price gaps
Source: Company data, Credit Suisse estimates
-75%
-25%
25%
75%
125%
-250%
-150%
-50%
50%
150%
250%
350%
450%
Mar-05 Mar-06 Mar-07 Mar-08 Mar-09 Mar-10 Mar-11 Mar-12 Mar-13 Mar-14 Mar-15
Relative performance (A over H) DTP HNP HDP
A share is trading at a premium to H share.
A share is trading at a discount to H share.
Widened A/H premium with A-share market rally. Narrowing A/H
premium
IDEAS ENGINE 30
China Power Sector
Key risks to our bearish call
The near term risks would be better than expected coal-price decline and thermal utilisation
rebound. Based on our sensitivity analysis, HDP is most sensitive to utilisation hours and unit
fuel cost changes. However, as we mentioned in our sector note, any further coal price
changes are likely to be offset by on-grid tariff adjustment at the end of the year. Besides,
for utilisation hours, most IPPs have guided to YoY decline for their thermal power utilisation
in 2015, and weak 1Q15 power output has supported such a view.
Figure 79: China IPPs—FY15E EPS sensitivity to 1% cut in utilization hours
Source: Company data, Credit Suisse estimates
Figure 80: China IPPs—FY15E EPS sensitivity to 1% increase in unit fuel cost
Source: Company data, Credit Suisse estimates
Over the long-run, one mitigating factor for the IPPs is to expand into power retail, which we
estimate as a Rmb100 bn market (annual profit size) if fully opened. However, whether the
large IPPs can win these projects from locally-backed utilities companies is a risk. Plus, city
gas distributors fit in well with their existing track record with local customers and
government. In many western countries, city gas distributors also happen to be power
retailers.
IDEAS ENGINE 31
China Power Sector
Appendix: Sector drivers Figure 81: China IPPs—key assumptions summary
2012A 2013A 2014A 2015E 2016E
Attributable capacity (YoY)
CRP 14% 7% 16% 13% 6%
HNP 5% 5% 7% 18% 3%
DTP 5% 6% 7% 4% 9%
HDP 13% 5% 5% 3% 7%
Mengdian 20% 1% 14% 2% 21%
Jingneng n.a. 18% 5% -11% 6%
Utilisation hours (YoY)
CRP -7% 1% -7% -2% -2%
HNP -8% 0% -9% -5% -2%
DTP -4% 1% -5% 0% 0%
HDP -2% 2% -2% -1% 0%
Mengdian -5% 7% -2% -4% 6%
Jingneng -3% 5% -1% -2% 2%
Net power output (bn kWh)
CRP 4% 8% 5% 15% 12%
HNP (China) -3% 5% -7% 14% 2%
DTP -1% -5% -2% 3% 3%
HDP 4% 12% 3% 4% 7%
Mengdian 6% 8% 21% -1% 31%
Jingneng 240% 31% 6% -8% 6%
Coal-fired on-grid tariff (YoY)
CRP 6% -1% -2% -5% -3%
HNP 6% 0% -3% -7% -3%
DTP 5% 0% -1% -5% -2%
HDP 6% -1% -2% -5% -3%
Mengdian 7% -1% -3% 1% -6%
Jingneng 6% -10% -2% -10% -2%
Unit fuel cost (YoY)
CRP -10% -16% -13% -5% 0%
HNP -9% -14% -8% -5% 0%
DTP -4% -14% -13% -5% 0%
HDP -4% -12% -13% -5% 0%
Mengdian -3% -7% -5% -5% 0%
Jingneng n.a. n.a. -4% -6% 0%
2012A 2013A 2014A 2015E 2016E
EBIT margin (%)
CRP 19.2 25.2 21.5 25.8 23.8
HNP 12.7 18.0 20.2 19.5 17.1
DTP 17.4 20.4 18.6 22.0 22.2
HDP 11.8 18.9 21.7 20.4 18.0
Mengdian 24.3 22.0 20.4 16.4 20.7
Jingneng 14.2 21.8 27.6 24.9 20.7
Net gearing (%)
CRP 110 96 107 97 81
HNP 238 195 167 174 153
DTP 317 288 305 298 273
HDP 405 329 253 242 225
Mengdian 120 123 170 171 141
Jingneng 38 35 26 28 26
Source: Company data, Credit Suisse estimates
IDEAS ENGINE 32
China Power Sector
Inner Mongolia Mengdian Huaneng (600863.SS / 600863 CH)
Improving earnings with additional transmission
Dave Dai, CFA / 852 2101 7358 / [email protected]
Ran Ma / 852 2101 6653 / [email protected]
■ Initiate coverage with OUTPERFORM. We initiate coverage on Inner Mongolia Mengdian
Huaneng (Mengdian) with an OUTPERFORM rating and a DCF-based target price of
Rmb7.50. With all generation units (>90% is coal-fired power) located in Inner Mongolia
(one of the least oversupplied locations), Mengdian's earnings growth should be driven by:
(1) capacity and utilisation supported by outbound transmission; (2) cheaper tariffs leading
to marginal benefits of direct supplies or competitive bidding; and (3) strong local
background helping it bid in the event of a potential opening-up of local power retail assets.
■ Earnings to improve. While FY15 earnings are likely to be impacted by weak power
demand, additional ultra-high voltage transmission lines should help transmit most of the
output to other provinces, creating utilisation upside in FY16-17E. We forecast the time-
weighted attributable capacity to witness a 13% FY14-16E CAGR with ~4GW capacity
under construction, stronger than most national IPPs. Parentco may also inject other local
projects (~10% upside on FY16E capacity) but there is no firm timeline yet.
■ A power reform winner. Mengdian is well-positioned to protect its utilisation hours with
competitive tariffs for outbound transmission (cheaper than local destination tariff) under
reforms. Meanwhile, as a dominant power generator in Western Inner Mongolia,
participation in the power retail bidding (we estimate potential annual profit of Rmb1.9 bn at
3% net margin) is possible.
■ Resembling renewable energy. Even without injections and power retail, we expect
meaningful earnings turnaround in FY16-17 helped by new transmission. High visibility on
utilisation and supreme ROE (21% by FY17E) resemble characteristics of a renewable
energy player and justifies its higher multiple than national peers. Key downside risks are
lower-than-expected utilisation and tariffs.
Rating OUTPERFORM* Price (24 Apr 15, Rmb) 6.11 Target price (Rmb) 7.50¹ Upside/downside (%) 22.7 Mkt cap (Rmb mn) 35,485 (US$ 5,730) Enterprise value (Rmb mn) 60,501 Number of shares (mn) 5,807.74 Free float (%) 32.3 52-week price range 6.26 - 2.37 ADTO - 6M (US$ mn) 102.9 *Stock ratings are relative to the coverage universe in each
analyst's or each team's respective sector.
¹Target price is for 12 months.
Share price performance
The price relative chart measures performance against the
Shanghai Shenzhen CSI300 index which closed at 4807.59 on
24/04/15
On 24/04/15 the spot exchange rate was Rmb6.19/US$1
Performance over 1M 3M 12M Absolute (%) 32.8 46.5 156.7 Relative (%) 11.6 26.1 113.4
Financial and valuation metrics
Year 12/13A 12/14E 12/15E 12/16E Revenue (Rmb mn) 12,153.0 13,634.0 13,488.1 16,435.8 EBITDA (Rmb mn) 4,363.5 4,604.8 4,574.5 5,892.1 EBIT (Rmb mn) 2,669.3 2,781.5 2,218.6 3,409.9 Net profit (Rmb mn) 1,375.6 1,359.6 1,037.4 1,659.7 EPS (CS adj.) (Rmb) 0.36 0.23 0.18 0.29 Change from previous EPS (%) n.a. Consensus EPS (Rmb) n.a. 0.36 0.37 — EPS growth (%) -29.2 -34.1 -23.7 60.0 P/E (x) 17.2 26.1 34.2 21.4 Dividend yield (%) 2.4 3.3 3.1 2.3 EV/EBITDA (x) 12.0 13.1 13.4 10.0 P/B (x) 2.2 3.2 3.2 3.0 ROE (%) 13.2 12.4 9.4 14.5 Net debt/equity (%) 122.7 170.2 171.4 141.4
Source: Company data, Thomson Reuters, Credit Suisse estimates.
60
80
100
120
0
2
4
6
8
May-13 Sep-13 Jan-14 May-14 Sep-14 Jan-15
Price (LHS) Rebased Rel (RHS)
IDEAS ENGINE 33
China Power Sector
Inner Mongolia Mengdian HuaNeng
Thermal
600863.SS
Per share data 12/13A 12/14E 12/15E 12/16E
Shares (wtd avg.) (mn) 3,872 5,808 5,808 5,808
EPS (Credit Suisse) (Rmb) 0.36 0.23 0.18 0.29
DPS (Rmb) 0.15 0.20 0.19 0.14
BVPS (Rmb) 2.81 1.90 1.90 2.04
Operating CFPS (Rmb) 1.26 0.71 0.73 0.90
Target price scenario
Scenario TP %Up/Dwn Assumptions
Upside 7.90 29.30 Coal price dropped 10% in 2015
Central Case 7.50 22.75 Coal price dropped 5% in 2015
Downside 7.10 16.20
Rating OUTPERFORM*
Price (24 Apr 15, Rmb) 6.11
Target price (Rmb) 7.50¹
Upside/downside (%) 22.7
Mkt cap (Rmb mn) 35,485 (US$ 5,730)
Enterprise value (Rmb mn) 60,501
Number of shares (mn) 5,807.74
Free float (%) 32.3
52-week price range 6.26 - 2.37
Source: Thomson Reuters, company data, Credit Suisse estimates
Income statement (Rmb mn) 12/13A 12/14E 12/15E 12/16E
Sales revenue 12,153 13,634 13,488 16,436
Cost of goods sold 9,272 10,691 11,235 12,984 SG&A 31.3 35.1 34.7 42.3 Other operating exp./(inc.) (1,514) (1,697) (2,356) (2,482) EBITDA 4,364 4,605 4,574 5,892
Depreciation & amortisation 1,694 1,823 2,356 2,482 EBIT 2,669 2,782 2,219 3,410
Net interest expense/(inc.) 1,015 992 1,052 937 Non-operating inc./(exp.) 819.0 743.6 706.1 706.1 Associates/JV — — — — Recurring PBT 2,473 2,533 1,873 3,179
Exceptionals/extraordinaries — — — — Taxes 494.6 533.7 347.5 738.1 Profit after tax 1,978 1,999 1,526 2,441
Other after tax income — — — — Minority interests 602.7 639.8 488.2 781.1 Preferred dividends — — — — Reported net profit 1,376 1,360 1,037 1,660
Analyst adjustments — — — — Net profit (Credit Suisse) 1,376 1,360 1,037 1,660
Cash flow (Rmb mn) 12/13A 12/14E 12/15E 12/16E
EBIT 2,669 2,782 2,219 3,410
Net interest (1,015) (992) (1,052) (937) Tax paid (494.6) (533.7) (347.5) (738.1) Working capital (201.1) (56.6) (0.4) (105.7) Other cash & non-cash items 3,924 2,923 3,403 3,626 Operating cash flow 4,883 4,122 4,222 5,255
Capex (1,022) (3,683) (4,000) (3,000) Free cash flow to the firm 3,860 440 222 2,255
Disposals of fixed assets — — — — Acquisitions — — — — Divestments — — — — Associate investments 819.4 748.8 711.4 711.4 Other investment/(outflows) (191.3) — — — Investing cash flow (394) (2,934) (3,289) (2,289)
Equity raised — — — — Dividends paid (568) (1,162) (1,088) (830) Net borrowings (1,520) 1,083 245 311 Other financing cash flow (1,015) (992) (1,052) (937) Financing cash flow (3,103) (1,071) (1,895) (1,456)
Total cash flow 1,386 118 (961) 1,510
Adjustments — — — — Net change in cash 1,386 118 (961) 1,510
Balance sheet (Rmb mn) 12/13A 12/14E 12/15E 12/16E
Cash & cash equivalents 185 347 317 1,827 Current receivables 1,482 1,652 1,635 1,974 Inventories 472.5 530.0 524.4 639.0 Other current assets 50.3 53.6 53.2 59.6 Current assets 2,189 2,583 2,529 4,499
Property, plant & equip. 25,357 34,487 36,449 35,966 Investments 3,340 3,340 3,340 3,340 Intangibles 4,296 4,234 4,173 4,111 Other non-current assets 423.4 423.4 423.4 423.4 Total assets 35,605 45,067 46,913 48,339
Accounts payable 3,725 4,174 4,678 5,243 Short-term debt 6,956 14,757 15,661 14,911 Current provisions — — — — Other current liabilities 57.0 57.0 57.0 57.0 Current liabilities 10,738 18,987 20,396 20,211
Long-term debt 10,231 10,606 10,606 10,606 Non-current provisions — — — — Other non-current liab. 774.2 774.0 774.0 774.0 Total liabilities 21,743 30,368 31,776 31,591
Shareholders' equity 10,861 11,059 11,008 11,838
Minority interests 3,001 3,641 4,129 4,910 Total liabilities & equity 35,605 45,067 46,913 48,339
IDEAS ENGINE 34
China Power Sector
0
1
2
3
4
5
6
2010 2011 2012 2013 2014
12MF P/B multiple
0
5
10
15
20
25
2010 2011 2012 2013 2014
12MF P/E multipleKey ratios and valuation 12/13A 12/14E 12/15E 12/16E
Growth(%) Sales revenue 9.9 12.2 (1.1) 21.9 EBIT (0.9) 4.2 (20.2) 53.7 Net profit 6.2 (1.2) (23.7) 60.0 EPS (29.2) (34.1) (23.7) 60.0 Margins (%)
EBITDA 35.9 33.8 33.9 35.8 EBIT 22.0 20.4 16.4 20.7 Pre-tax profit 20.3 18.6 13.9 19.3 Net profit 11.3 10.0 7.7 10.1 Valuation metrics (x)
P/E 17.2 26.1 34.2 21.4 P/B 2.18 3.21 3.22 3.00 Dividend yield (%) 2.40 3.27 3.07 2.34 P/CF 4.85 8.61 8.40 6.75 EV/sales 4.32 4.44 4.55 3.60 EV/EBITDA 12.0 13.1 13.4 10.0 EV/EBIT 19.7 21.8 27.7 17.4 ROE analysis (%)
ROE 13.2 12.4 9.4 14.5 ROIC 7.07 6.22 4.47 6.42 Asset turnover (x) 0.34 0.30 0.29 0.34 Interest burden (x) 0.93 0.91 0.84 0.93 Tax burden (x) 0.80 0.79 0.81 0.77 Financial leverage (x) 2.57 3.07 3.10 2.89 Credit ratios
Net debt/equity (%) 123 170 171 141 Net debt/EBITDA (x) 3.90 5.43 5.67 4.02 Interest cover (x) 2.63 2.80 2.11 3.64
Source: Company data, Thomson Reuters, Credit Suisse estimates.
Source: IBES
IDEAS ENGINE 35
China Power Sector
Initiate coverage with OUTPERFORM We initiate coverage on Inner Mongolia Mengdian Huaneng Thermal Power Corporation (Mengdian)
with an OUTPERFORM rating and a target price of Rmb7.5 (based on the discounted cash flow
method). With all generation units located in Inner Mongolia, Mengdian should enjoy a much stronger
positioning than the national IPPs: (1) capacity growth protected by a less oversupplied power and
outbound transmission; (2) lower potential threat from power reforms (competitive bidding or direct
supplies) given lower generation costs; and (3) strong position to enter the local power retail market
with a dominant local background. In the near term, we estimate a 10% FY14-16E EPS CAGR
supported by the strong (~4GW) capacity pipeline. In addition, local projects (~1.7GW gross or
~10% upside on FY16E capacity) owned by parentco may be injected into Mengdian.
Recovering ROE with higher visibility
Unlike national peers where earnings visibility is subject to greater uncertainties (we value based
on sustainable ROE), we value Mengdian using the discounted cash flow method, same as how
we value clean energy operators (wind, nuclear, hydro and city gas) given much stronger
visibilities.
Figure 82: Mengdian's valuation
Key assumptions
Cost of debt 5.5%
WACC 8.5%
Firm value (Rmb mn) 73,615
Net debt (Rmb mn) 25,950
Equity (Rmb mn) 43,535
Target price (Rmb/share) 7.5
Source: Credit Suisse estimates
Mengdian is currently trading at a premium to peer groups such as national coal-fired IPPs and
wind farms on forward P/B multiple, but at a similar level as hydro power and city gas
companies. Besides leverage, we believe the multiple difference can be sustained with
expectations of sustainable ROE. For national IPPs, we highlighted in the main section that
there are major uncertainties going into the reform, either "consolidation" or "no consolidation"
scenarios, so the sustainable ROE in the coming years could drift much lower than the current
levels, which would be enough to suppress P/B multiples.
On the other hand, hydro and city gas utilities are highly supported by government's green
efforts and we forecast average ROE to remain at least at the current levels or even recover
slightly. Given that, Mengdian's ROE is likely to be boosted further by utilisation improvement
plus asset injection potential and the opportunity (~10% of FY16E capacity) to get into the retail
business (Western Inner Mongolia may be a business worth an annual profit of Rmb1.9 bn
assuming a 3% net margin. As a result, we believe that Mengdian may continue to trade at
premium valuations given such potential upside.
Figure 83: Historical ROE/leverage
Source: Bloomberg, Credit Suisse estimates.
Figure 84: Forward P/B history
Source: Bloomberg, Credit Suisse estimates.
Capacity outlook
Mengdian currently has three projects in the pipeline with total consolidated capacity of ~4GW.
All of the three projects are expected to commence operation in 2015/2016 and will start full-
year contribution from 2017. As a result, we estimate the capacity to grow at 13% over FY14-
16. Also, we believe that the projects under construction should enjoy a decent utilisation rate
as they are either targeting long-distance transmission through Ultra High Voltage line or power
exports to nearby provinces. We forecast the three units to start contributing profit in mid-2015
(Helin), 1H16 (Weijiamao) and later 2016 (Shangdu Phase IV), respectively.
IDEAS ENGINE 36
China Power Sector
Figure 85: Mengdian's time-weighted attributable capacity
Source: Company data, Credit Suisse estimates
Figure 86: Project details of Mengdian
Project name Chinese
name
Location Type Scale
(MW)
Gross
capacity
(MW)
Stake
(%)
Consolidate
d capacity
(MW)
Attributabl
e capacity
(MW)
Haidian
Phase III
海电三期 Wuhai Coal-fired 2×330 660 100% 660 660
Haibowan 蒙华海勃
湾
Wuhai Coal-fired 2×200 400 51% 400 204
Donghua 包头东华 Baotou Co-gen 2×330 660 25% 165
Longyuan 北方龙源
风电
Baotou Wind n.a. 476 19% 89
Baiyun'ebo 白云鄂博
风电
Baotou Wind n.a. 49 100% 49 49
West Inner Mongolia 2,196 1,109 1,168
Two wind
projects
Wind n.a. 99 100% 50 50
East Inner Mongolia 99 99 99
Shangdu 上都 Xinlingol Coal-fired 4×600 2,400 51% 2,400 1,224
Shangdu
Phase II
上都第二 Xinlingol Coal-fired 2×660 1,320 51% 1,320 673
Daihai 岱海 Wulanch
abu
Coal-fired 4×600 2,400 49% 1,176
Tuoketuo 托克托 Hohhot Coal-fired 6×600 3,600 15% 540
Tuoketuo
Phase II
托克托第
二
Hohhot Coal-fired 2×600 1,200 15% 180
Fengzhen #
3-4
丰镇#3-4 Wulanch
abu
Coal-fired 2×200 400 100% 400 400
Fengtai 丰泰 Hohhot Co-gen 2×200 400 45% 400 180
Jingda 京达 Erdos Co-gen 2×330 660 40% 660 264
Juda 聚达 Erdos Co-gen 2×600 1,200 100% 1,200 1,200
Dzungaria 国华准格
尔
Erdos Coal-fired 4×330 1,320 30% 396
Jinglong 京隆 Wulanch
abu
Coal-fired 2×600 1,200 25% 300
Mengda 蒙达 Erdos Coal-fired 4×330 1,320 10% 132
Cross-provincial transmission 17,420 6,380 6,665
Total 19,715 7,588 7,932
Source: Company data, Credit Suisse estimates
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
2012 2013 2014 2015E 2016E 2017E
(MW)
IDEAS ENGINE 37
China Power Sector
Figure 87: Project pipelines of Mengdian
Project
Name
Chinese
name
Location Type Destin
ation
Scale
(MW)
Gross
capacity
(MW)
Stake
(%)
Consolida
ted
capacity
(MW)
Attribut
able
capacity
(MW)
Expected
operation
date
Helin 和林电
厂
Hohhot Coal-
fired
UHV
(South
China)
2×660 1,320 100% 1,320 1,320 2015
Weijiam
ao
魏家峁
煤电
Erdos Coal-
fired
UHV
(South
China)
2×660 1,320 100% 1,320 1,320 2016
Shangd
u Phase
IV
上都四
期
Xinlingol Coal-
fired
North
China
2×660 1,320 51% 1,320 673 2016
Total 3,960 3,960 3,511
Source: Company data, Credit Suisse estimates
Based on our forecasts, Mengdian should have a meaningful capacity boost in 2016 with the
completion of all three new units. We forecast average utilisation hours to steadily increase
given the protection by additional transmission lines and a meaningful batch should be
completed by 2016-17.
Figure 88: Summary of key assumptions
2012 2013 2014E 2015E 2016E 2017E
Consolidated capacity (MW) 7,539 7,588 9,308 10,628 13,268 13,268
YoY 1% 23% 14% 25% 0%
Attributable capacity (MW) 7,918 7,996 9,096 9,316 11,309 11,309
YoY 1% 14% 2% 21% 0%
Time-weighted consolidated capacity (MW) 7,539 7,551 9,308 9,638 11,948 13,268
YoY 0% 23% 4% 24% 11%
Time-weighted attributable capacity (MW) 7,918 7,959 9,096 9,426 11,736 12,409
YoY 1% 14% 4% 25% 6%
Average utilisation hours 5,002 5,354 5,223 4,997 5,283 5,310
YoY 7% -2% -4% 6% 1%
Power output (mn kWh) 34,282 36,950 44,614 44,200 57,924 64,663
YoY 8% 21% -1% 31% 12%
Unit fuel cost (Rmb/kWh) 0.107 0.100 0.095 0.090 0.090 0.090
YoY -7% -5% -5% 0% 0%
Source: Company data, Credit Suisse estimates
Asset injection a plus
As the only listed vehicle of its parent company, North China Power Corporation (a subsidiary of
China Huaneng Group), we believe that Mengdian is the key platform to integrate parentco's
remaining assets (power and coal). While the asset injection of coal mines does not seem
reasonable given the current environment, the two power units (Fengzhen and Mengda) make
more sense with similar locations and operational advantages. The two units have a total
capacity of 1.7GW and attributable capacity of 0.97GW. We do not have a view on the possible
timing of the injection but if it takes place, it should create ~10% upside on our attributable
FY16 capacity forecast.
Figure 89: Power assets that could be injected to the listco
Project
name
Chinese
name
Location Type Scale
(MW)
Gross
capacity
(MW)
Stake
(%)
Consolid
ated
capacity
(MW)
Attributa
ble
capacity
(MW)
Status
Fengzhen 丰镇 Wulanch
abu
Coal-fired 2×200 400 100% 1,320 400 In operation
Mengda 蒙达 Dalat Coal-fired 4×330 1,320 43% 568 In operation
Total 1,720 1,320 968
Source: Company data, Credit Suisse estimates
Better utilisation hours
While Inner Mongolia is not without local issues (delayed transmission construction subduing
utilisation of local wind farms and coal-fired power), Mengdian's coal-fired units have
outperformed local and national benchmarks over the past two years, largely thanks to the
status that >80% of its total capacity targets power exports. We estimate the utilisation hours
of Mengdian's units to be ~5,220 in FY14E, 2% higher than the average level of Inner
Mongolia, and 10% higher than the national average.
Figure 90: Utilisation hours comparison of coal-fired units
Source: CEIC, company data, Credit Suisse estimates
4,500
4,700
4,900
5,100
5,300
5,500
5,700
5,900
2011 2012 2013 2014E
MengDian Inner Mongolia National Average
IDEAS ENGINE 38
China Power Sector
Largely due to lower coal price, the current transmission tariff of Mengdian's units targeting
power export, is 2-18% lower than the on-grid tariff of provinces in North China. In the context
of power reform, we believe Mengdian should be well-positioned in the opening up of the power
market given its price advantage and by further improving its utilisation hours. We currently
forecast Mengdian's average utilisation hours to improve by 5.7%/0.5% YoY in 2016 and
2017, respectively.
Figure 91: Comparison of Inner Mongolia's transmission tariff with on-grid tariffs of North
China provinces (Rmb/kWh)—the tariff is eligible starting April 2015
Inner Mongolia cross-provincial transmission (unit to grid) 0.3458
Inner Mongolia cross-provincial transmission (grid to grid) 0.3348
Beijing 0.3754
Tianjin 0.3815
Hebei (North) 0.3971
Hebei (South) 0.3914
Shanxi 0.3538
Shandong 0.4194
Source: NDRC
Figure 92: Outbound ultra-high voltage transmission in the pipeline
Lines Chinese name Location MW Year of likely
completion
Ximeng-Shandong 锡盟-山东 EIM 9,000 2016
WIM - Tianjin 蒙西-天津 WIM 6,000 2016
Shanghaimiao -
Shandong
上海庙-山东 WIM 8,000 2017
Ximeng-Jiangsu 锡盟-江苏 EIM 8,000 2017
Zhalute-Henan 扎鲁特-河南 EIM 10,000 2018
Humeng-Qingzhou 呼盟-青州 EIM 8,000 2018
WIM - Hubei 西盟-湖北 WIM 8,000 2018
WIM total 22,000
EIM total 35,000
Source: State Grid, NDRC, Credit Suisse estimates
Figure 93: Structure of the Inner Mongolia power grid
Source: WIND, Credit Suisse research
Lowest exposure to smaller units
Going into progressive power reform, Mengdian also stands out from peers with very low
capacity exposure (7%) to smaller units (<=300MW) that are not for co-generation. This is a
crucial distinction because power portfolios with a significantly smaller fleet could face larger
shut-down risks during a consolidation phase, whereby a large number of power plants need to
be phased out to keep industry profitability recovering.
IDEAS ENGINE 39
China Power Sector
Figure 94: Project size distribution of coal-fired power plants of the listed IPPs
Source: Company data
A potential leap into the power retail market
After Shenzhen, we believe the next power retail market that has potential to be opened up
could be the Western Inner Mongolia grid, which is the only provincial level grid, outside the
operating range of State Grid and China Southern Grid.
Power retail is an asset-light and service-driven business. Based on a 3% net margin
(according to Western examples), the retail market (if fully opened) could be a market with
Rmb100 bn in annual profit. The power producers (IPPs) have a natural interest to expand to
downstream markets to hedge long-term risks from a competition-based generation market. In
our view, the IPPs backed by local governments may have stronger advantages than national
IPPs backed by the central government, if the power retail market is governed by the local
government. One of the strategic investors in Mengdian's controlling shareholder, Inner
Mongolia Power Group, has a strong local background and should help Mengdian in bidding for
the retail business in West Inner Mongolia if it is opened up.
Retail markets with high end-user tariffs can be attractive initially but risks could rise with
increasing competition. In general, we believe that it is positive for IPPs such as Mengdian to
invest in a new business but whether the investment is accretive will vary case by case.
Figure 95: China—power retail earnings potential
Note: Listed companies are those under Credit Suisse coverage.
Source: CEIC, Credit Suisse estimates
Figure 96: Western Inner Mongolia—power retail earnings potential vs. Mengdian's FY15
net profit
Source: CEIC, Credit Suisse estimates
Unlike some of the national IPPs with a net gearing ratio of >250%, we estimate Mengian's
net gearing to be around 200% by 2016E, which provides room for additional debt financing in
case of either buying assets from parentco or bidding for the power retail business.
100
51
17
0
20
40
60
80
100
120
Power retail @ 3% netmargin
Listed IPPs Listed city gas
(Rmb bn)
1.90
1.66
1.50
1.55
1.60
1.65
1.70
1.75
1.80
1.85
1.90
1.95
Western I.M. @3% net margin Mengdian (FY16E net profit)
(Rmb bn)
IDEAS ENGINE 40
China Power Sector
Key risks to our call
More-than-expected cut of coal-fired tariffs and less-than-expected drop of coal prices
We currently forecast another 0.5 fen per kWh tariff cut for coal-fired power units in Inner Mongolia
(lower than coastal provinces with 1 fen per kWh cut). In the last tariff cut in April 2015, Inner
Mongolia also enjoyed a smaller cut (0.67 fen cut in Western Inner Mongolia vs national average at 2
fen cut). We estimate 1% more tariff cut would lead to 4% FY16E EPS downside.
Lower-than-expected utilisation hours
Historically, Inner Mongolia has enjoyed higher utilisation hours than the national average. If the
construction of ultra-high-voltage transmission lines is slower than expected, this could impact
the utilisation of Mengdian’s units.
Delay of the existing project construction
If projects are delayed beyond the expected launch dates, then Mengdian will be impacted.
Figure 97: Utilisation hours comparison of coal-fired units
Source: Company data, Credit Suisse estimates
IDEAS ENGINE 41
China Power Sector
Appendix: Company background Inner Mongolia Mengdian Huaneng Thermal Power Corporation Limited (Mengdian) was
established in 1993 and listed in China A-share market in 1994. The company's main business
has been power generation and heat supply ever since. North United Power Corporation
(currently a subsidiary of China Huaneng Group) has been Mengdian's controlling shareholder
following the power reform of 2004.
As of 2013, the company has consolidated power generation capacity of 7.6GW and
attributable capacity of 8.0GW. About 87% of the company's coal-fired units are targeted as
power export capacity, whose utilisation hours are much more defensive given the low fuel cost
and on-grid tariff of Inner Mongolia compared with other provinces.
Figure 98: The shareholder structure of Mengdian
Source: Company data
51.0%
9.3% 56.6% 34.1%
China Citic Group
Inner Mongolia MengDian HuaNeng Thermal Power Corporation Limited (MengDian)
North United Power CorporationStrategic investors Other A share investors
China Huaneng GroupInner Mongolia Power Group China Shenhua Group
IDEAS ENGINE 42
China Power Sector
Beijing Jingneng Power Co Ltd (600578.SS / 600578 CH)
Strong asset injection theme
Dave Dai, CFA / 852 2101 7358 / [email protected]
Ran Ma / 852 2101 6653 / [email protected]
■ Initiate coverage with OUTPERFORM. We initiate coverage on Beijing Jingneng Power
(Jingneng) with an OUTPERFORM rating and an SOTP-based target price of Rmb10.0
(including asset injections). Jingneng has a portfolio of high quality coal-fired power units
with >60% of attributable capacity located in Inner Mongolia. Similar to Mengdian, Jingneng
should enjoy resilient utilisation hours for Inner Mongolia assets but the asset injection angle
should be more clear with parentco commitment by 2016.
■ Asset injection commitment. The company's output and earnings may be depressed in
FY15 given the scheduled shutdown of the Shijingshan (Beijing) project but capacity growth
should turn positive again with 6% and 11% in FY16 and FY17, respectively. Additionally,
the parentco has committed to inject additional assets before end of FY16 and we believe it
should be of the size of 4-5GW (>50%). The transaction should be supported by the light
balance sheet.
■ Power retail is only possible. Unlike Mengdian with the local government as one of the
indirect shareholders, Jingneng is ultimately controlled by the Beijing SASAC. Therefore,
the probability of acquiring local power retail business may be low despite its large capacity
exposure to Inner Mongolia. Additionally, Jingneng has 12% of its capacity in Ningxia,
which is also listed for the next batch of power reforms.
■ Compared with Mengdian. We have incorporated the injection potential in our SOTP
target price but no earnings contribution is built in considering limited details. We prefer
Jingneng to Mengdian given similar exposure to Inner Mongolia but better asset growth
opportunity with asset injection. Bidding for the power retail business would be a plus. Key
downside risks are lower-than-expected utilisation and tariffs.
Rating OUTPERFORM* Price (24 Apr 15, Rmb) 8.08 Target price (Rmb) 10.00¹ Upside/downside (%) 23.8 Mkt cap (Rmb mn) 37,308 (US$6,024 mn) Enterprise value (Rmb mn) 47,501 Number of shares (mn) 4,617.32 Free float (%) 21.4 52-week price range 8.08–3.23 ADTO - 6M (US$ mn) 68.7 *Stock ratings are relative to the coverage universe in each analyst's or each
team's respective sector.
¹Target price is for 12 months.
Share price performance
The price relative chart measures performance against the Shanghai
Shenzhen CSI300 index which closed at 4702.64 on 24/04/15
On 24/04/15 the spot exchange rate was Rmb6.19/US$1
Performance over 1M 3M 12M Absolute (%) 25.1 46.9 137.6 Relative (%) 6.7 16.6 20.7
Financial and valuation metrics
Year 12/14A 12/15E 12/16E 12/17E Revenue (Rmb mn) 12,964.0 10,962.0 11,371.6 14,054.1 EBITDA (Rmb mn) 4,899.2 4,055.1 4,135.8 5,526.4 EBIT (Rmb mn) 3,233.0 2,271.8 2,255.0 3,364.0 Net profit (Rmb mn) 2,551.0 2,115.5 2,050.4 2,527.9 EPS (CS adj.) (Rmb) 0.55 0.46 0.44 0.55 Change from previous EPS (%) n.a. Consensus EPS (Rmb) n.a. 0.43 — — EPS growth (%) 6.2 -17.1 -3.1 23.3 P/E (x) 14.6 17.6 18.2 14.8 Dividend yield (%) 2.5 2.0 1.9 2.4 EV/EBITDA (x) 9.5 11.7 11.5 8.3 P/B (x) 2.6 2.4 2.2 2.0 ROE (%) 18.5 14.1 12.5 14.2 Net debt/equity (%) 50.5 50.4 45.9 34.6
Source: Company data, Thomson Reuters, Credit Suisse estimates.
80
90
100
110
120
2
4
6
8
10
Apr-13 Aug-13 Dec-13 Apr-14 Aug-14 Dec-14
Price (LHS) Rebased Rel (RHS)
IDEAS ENGINE 43
China Power Sector
Beijing Jingneng Power Co Ltd 600578.SS
Per share data 12/14A 12/15E 12/16E 12/17E
Shares (wtd avg.) (mn) 4,617 4,617 4,617 4,617 EPS (Credit Suisse) (Rmb) 0.55 0.46 0.44 0.55
DPS (Rmb) 0.20 0.16 0.16 0.19
BVPS (Rmb) 3.10 3.39 3.68 4.04
Operating CFPS (Rmb) 0.87 0.68 0.63 0.78
Target price scenario
Scenario TP %Up/Dwn Assumptions
Upside
Central Case 10.00 23.92
Downside
Rating OUTPERFORM*
Price (24 Apr 15, Rmb) 8.08
Target price (Rmb) 10.00¹
Upside/downside (%) 23.8
Mkt cap (Rmb mn) 37,308 (US$ 6,024)
Enterprise value (Rmb mn) 47,501
Number of shares (mn) 4,617.32
Free float (%) 21.4
52-week price range 8.08 - 3.23
ADTO - 6M (US$ mn) 68.7
Source: Thomson Reuters, company data, Credit Suisse estimates
Income statement (Rmb mn) 12/14A 12/15E 12/16E 12/17E
Sales revenue 12,964 10,962 11,372 14,054
Cost of goods sold 9,015 8,112 8,517 9,991
SG&A 525.0 416.6 432.1 491.9
Other operating exp./(inc.) (1,475) (1,622) (1,713) (1,955)
EBITDA 4,899 4,055 4,136 5,526
Depreciation & amortisation 1,666 1,783 1,881 2,162
EBIT 3,233 2,272 2,255 3,364
Net interest expense/(inc.) 1,070 871 808 856
Non-operating inc./(exp.) (12.0) 54.0 54.0 54.0
Associates/JV 1,539 1,431 1,345 1,345 Recurring PBT 3,690 2,886 2,846 3,907
Exceptionals/extraordinaries 144.0 — — —
Taxes 639.0 350.1 361.7 626.9
Profit after tax 3,195 2,536 2,484 3,280
Other after tax income — — — —
Minority interests 644.0 420.2 434.0 752.3
Preferred dividends — — — — Reported net profit 2,551 2,116 2,050 2,528
Analyst adjustments — — — — Net profit (Credit Suisse) 2,551 2,116 2,050 2,528
Cash flow (Rmb mn) 12/14A 12/15E 12/16E 12/17E
EBIT 3,233 2,272 2,255 3,364
Net interest (1,070) (871) (808) (856)
Tax paid (639.0) (350.1) (361.7) (626.9)
Working capital 816.2 301.8 (75.6) (421.0)
Other cash & non-cash items 1,666 1,783 1,881 2,162 Operating cash flow 4,006 3,135 2,890 3,622
Capex (233) (4,200) (4,200) (4,200) Free cash flow to the firm 3,773 (1,065) (1,310) (578)
Disposals of fixed assets — — — —
Acquisitions — — — —
Divestments 58.0 — — —
Associate investments — — — —
Other investment/(outflows) (694) 1,188 1,120 1,120 Investing cash flow (869) (3,012) (3,080) (3,080)
Equity raised — — — —
Dividends paid (923.5) (740.4) (717.6) (884.8)
Net borrowings (1,315) — — —
Other financing cash flow (1,787) 480 480 480
Financing cash flow (4,025) (260) (238) (405)
Total cash flow (888.1) (136.7) (427.9) 137.0
Adjustments — — — — Net change in cash (888.1) (136.7) (427.9) 137.0
Balance sheet (Rmb mn) 12/14A 12/15E 12/16E 12/17E
Cash & cash equivalents 3,412 2,408 3,129 4,824
Current receivables 1,661 1,416 1,466 1,794
Inventories 566.8 510.0 535.4 628.1
Other current assets 201.5 201.5 201.5 201.5 Current assets 5,841 4,535 5,331 7,448
Property, plant & equip. 24,310 22,727 23,496 29,829
Investments 6,458 6,755 7,035 7,315
Intangibles 620.5 620.5 620.5 620.5
Other non-current assets 2,784 6,784 8,334 4,039 Total assets 40,014 41,422 44,818 49,252
Accounts payable 4,515 3,848 4,018 4,883
Short-term debt 5,516 4,639 4,972 5,139
Current provisions — — — —
Other current liabilities 350.0 350.0 350.0 350.0 Current liabilities 10,381 8,837 9,341 10,372
Long-term debt 6,963 7,963 8,463 8,463
Non-current provisions — — — —
Other non-current liab. 4,732 4,409 4,554 5,081
Total liabilities 22,076 21,209 22,357 23,916
Shareholders' equity 14,298 15,673 17,006 18,649
Minority interests 3,640 4,540 5,454 6,687 Total liabilities & equity 40,014 41,422 44,818 49,252
IDEAS ENGINE 44
China Power Sector
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
2010 2011 2012 2013 2014 2015
12MF P/B multiple
Key ratios and valuation 12/14A 12/15E 12/16E 12/17E
Growth(%)
Sales revenue 2.0 (15.4) 3.7 23.6
EBIT (8.0) (29.7) (0.7) 49.2
Net profit 8.6 (17.1) (3.1) 23.3
EPS 6.2 (17.1) (3.1) 23.3 Margins (%)
EBITDA 37.8 37.0 36.4 39.3
EBIT 24.9 20.7 19.8 23.9
Pre-tax profit 28.5 26.3 25.0 27.8
Net profit 19.7 19.3 18.0 18.0 Valuation metrics (x)
P/E 14.6 17.6 18.2 14.7
P/B 2.61 2.38 2.19 2.00
Dividend yield (%) 2.48 1.99 1.93 2.37
P/CF 9.3 11.9 12.9 10.3
EV/sales 3.57 4.33 4.18 3.28
EV/EBITDA 9.5 11.7 11.5 8.3
EV/EBIT 14.3 20.9 21.1 13.7
ROE analysis (%)
ROE 18.5 14.1 12.5 14.2
ROIC 9.6 7.0 6.2 8.4
Asset turnover (x) 0.32 0.26 0.25 0.29
Interest burden (x) 1.14 1.27 1.26 1.16
Tax burden (x) 0.83 0.88 0.87 0.84
Financial leverage (x) 2.23 2.05 2.00 1.94 Credit ratios
Net debt/equity (%) 50.5 50.4 45.9 34.6
Net debt/EBITDA (x) 1.85 2.51 2.49 1.59
Interest cover (x) 3.02 2.61 2.79 3.93
Source: Company data, Thomson Reuters, Credit Suisse estimates.
Source: IBES
0
5
10
15
20
25
30
2010 2011 2012 2013 2014 2015
12MF P/E multiple
IDEAS ENGINE 45
China Power Sector
Initiate coverage with OUTPERFORM
We initiate coverage on Beijing Jingneng Power (Jingneng) with an OUTPERFORM rating and
an SOTP-based target price of Rmb10.0 (including asset injections). Jingneng has a portfolio of
high quality coal-fired power units with >60% of attributable capacity located in Inner Mongolia.
Similar to Mengdian, Jingneng should enjoy resilient utilisation hours for Inner Mongolia assets
but the asset injection angle should be clearer with parentco commitment by 2016.
We use a sum-of-the parts valuation methodology to value Jingneng (existing assets + upside
from asset injections). Unlike national peers where earnings visibility is subject to greater
uncertainties, we value Jingneng's existing assets using the discounted cash flow method,
same as how we value clean energy operators (wind, nuclear, hydro and city gas) given much
stronger visibilities. For the asset injections, Jingneng's parent company—Beijing Energy
Investment Holdings (Jingneng Group)—has committed to inject 4–5GW of its coal-fired power
assets into Jingneng before end-2016. We have assumed 4GW power assets to be injected
before end-2016 and we take the average enterprise value (Rmb5,659/kW) of existing assets
and the transaction price of the previous asset injection of Jinglong as reference. The asset
injection part contributes about 10% to our target price.
Figure 99: Details of target price method Rmb mn Rmb/kW
Enterprise value – existing assets (8% WACC, 2% terminal growth) 57,893 5,706
Net debt 11,686 1,152
Equity value 46,207 4,554
Minority interest 4,540
Equity value to shareholders - existing assets 41,666
Value accretion from asset injection 4,824
Target value 46,490
No. of shares 4,617
Target price 10.0
Coal-fired assets that to be injected (MW) 4,000
Enterprise value 22,824 5,706
Transaction price 18,000 *4,500
Value accretion from asset injection 4,824
* Reference to the transaction price of previous asset injection of Jinglong.
Source: Company data, Credit Suisse estimates
Figure 100: Peer P/B multiple comparison (FY16E)
Source: Bloomberg, Credit Suisse estimates.
Figure 101: Peer ROE comparison (FY16E)
Source: Bloomberg, Credit Suisse estimates.
1.1
1.5
2.42.6
2.9
0.0
0.5
1.0
1.5
2.0
2.5
3.0
Wind IPPs Hydro Gas Jingneng
(x)
12.013.5
15.816.9
21.3
0.0
5.0
10.0
15.0
20.0
25.0
Wind IPPs Gas Jingneng Hydro
(x)
IDEAS ENGINE 46
China Power Sector
Figure 102: Historical ROE/leverage
Source: Bloomberg, Credit Suisse estimates.
Figure 103: Forward P/B history
Source: Bloomberg, Credit Suisse estimates.
Capacity pipeline
Jingneng's FY15/16 profit growth could be subdued with the closure of the profitable
Shijingshan co-gen units (one of the last two coal-based power plants to be shut down within
Beijing) in 1Q15 and no capacity addition until 2H 2016. However, we are still positive on the
outlook of the company's growth in the medium term with five projects (total consolidated
capacity of 5.44GW) in the pipeline.
Figure 104: Summary of key assumptions
2013 2014 2015E 2016E 2017E
Consolidated capacity (MW) 7,450 8,150 7,276 7,976 10,346
YoY 9% -11% 10% 30%
Attributable capacity (MW) 7,402 7,759 6,882 7,302 8,724
YoY 5% -11% 6% 19%
Time-weighted consolidated capacity (MW) 7,450 7,975 7,452 7,776 9,328
YoY 7% -7% 4% 20%
Time-weighted attributable capacity (MW) 2,671 2,671 2,675 2,975 3,906
YoY 0% 0% 11% 31%
Average utilization hours 5,712 5,638 5,540 5,628 5,576
YoY -1% -2% 2% -1%
Power output (mn kWh) 42,555 44,964 41,281 43,763 52,010
YoY 6% -8% 6% 19%
Source: Company data, Credit Suisse estimates
Figure 105: Jingneng's power assets as of end-2014
Project
name
Chinese
name
Type Scale Gross
capacity
(MW)
Province Region Stake Consol
capacity(
MW)
Attribut
capacity
(MW)
Shijingshan* 石景山 Co-gen 880 880 Beijing 100% 880 880
Daihai 岱海发电 Coal-fired 600+630
+2x600
2,430
IM
Wulanchabu 51% 2,430 1,239
Ningdong 宁东发电 Coal-fired 2x660 1,320 Ningxia 65% 1,320 858
Jingtai 京泰发电 Coal-fired 2x330 660 IM Erdos 51% 660 337
Jingyu 京玉发电 Coal-fired 2x330 660 Shanxi 51% 660 337
Kangbashi 康巴什热电 Co-gen 2x350 700 IM Erdos 51% 700 357
Jinglong 京隆发电 Coal-fired 2x600 1,200 IM Wulanchabu 75% 1,200 900
Huaning 华宁热电 Co-gen 2x150 300 IM Wulanchabu 60% 300 180
Tuoketuo 托克托发电 Transmissi
on
6x600 3,600
IM
Hohhot 25% 900
Tuoketuo II 托克托第二
发电
Coal-fired 2x600 1,200
IM
Hohhot 25% 300
Datong 大同发电 Coal-fired 2x600 1,200 Shanxi 40% 480
Sanhe 三河发电 Coal-fired 2x350+2
x300
1,300
Hebei
30% 390
Huaneng
Beijing
华能北京热
电
Coal/Gas 845+923 1,768
Beijing
34% 601
Zhuozhou 涿州 Coal-fired 6 6 Hubei 60% 6 4
Total 17,224 8,156 7,762
* The Shijingshan Co-gen coal-fired power plant was shut down in March 2015.
IM = Inner Mongolia.
Source: Company data
0%
20%
40%
60%
80%
100%
120%
0%
5%
10%
15%
20%
25%
2010 2011 2012 2013 2014 2015E 2016E 2017E
ROE (LHS) Net gearing (RHS)
0.5
0.7
0.9
1.1
1.3
1.5
1.7
1.9
2.1
2.3
2.5
Jan-10 Jan-11 Jan-12 Jan-13 Jan-14
(x)
1.7x Avg
1.3x Avg-1SD
0.9x Avg-2SD
2.2x Avg+1SD
2.6x Avg+2SD
IDEAS ENGINE 47
China Power Sector
With the closure of Shijingshan in 1Q2015, Jingneng's attributable capacity will drop 11% to
6.9GW in 2015. The company currently has five projects in the pipeline with total gross
capacity of 5.44GW. Among these projects, we expect Phase I of the Shiyan Co-gen project
(2x350MW) which is already approved, to commence commercial operation in 2H 2016. We
expect all the other projects to start profit contribution before 2019.
Figure 106: Jingneng's project pipeline
Project
name
Chinese
name
Type Scale Gross
capacity
(MW)
Province Stake Consol
capacity(
MW)
Attribut
capacity
(MW)
Shiyan 十堰 Co-gen 4x350 1,400 Hubei 60% 1,400 840
Zhuozhou 涿州 Co-gen 2x350 700 Hebei 60% 700 420
Lulin 吕临 Coal-fired 2x350 700 Ningxia 66% 700 462
Jingtai
Phase II
京泰二期 Coal-fired 2x660 1,320 Inner
Mongolia
51% 1,320 673
Zhongning 宁夏中宁 Coal-fired 2x660 1,320 Ningxia 51% 1,320 673
Total 5,040 5,040 3,068
Source: Company data.
> 50% capacity potential from asset injections
According to Jingneng's announcement in May 2014, Jingneng's parentco, Beijing Energy
Investment Holdings (Jingneng Group) had committed to complete the asset injection of all the
group's remaining coal-fired power assets into Jingneng by the end of 2016. According to our
estimates, the parentco had ~4–5GW coal-fired capacity in operation by 2014, implying >50%
upside versus Jingneng's attributable capacity of 7.3GW as of end-2016.
Figure 107: Power assets under Jingneng Group and the two listcos (GW)
Jinneng Group 17.48
Beijing Jingneng Power (600578.SS) 8.15
Beijing Jingneng Clean Energy (0579.HK) 4.44
Remaining assets 4.89
Source: Company data, Credit Suisse estimates
Track record of asset injection
In 2014, Jingneng acquired a 75% stake in Jinglong Power (28.86% stake from Jingneng
Group and 46.14% stake from Jingneng International) for Rmb639 mn. Jinglong has four coal-
fired units with total consolidated capacity of 1.5GW and total attributable capacity of 1.08GW.
The implied valuation (enterprise value of Rmb4,500/kW) provides a benchmark for the
transaction price of future asset injections, in our view, and we use this to calculate our SOTP-
based target price for Jingneng.
Figure 108: Transaction details on the asset injections of Jinglong Power Generation Company
Total consolidated capacity (MW) 1,500
Attributable capacity (MW) 1,080
Transaction price for the 75% stake (Rmb mn) 639
Equity value attributable to shareholders (Rmb mn) 852
Total equity value - including minority interest (Rmb mn) 1,183
Before transaction/revaluation
Liability (Rmb mn) 5,577
Equity value (Rmb mn) 554
Asset value (Rmb mn) 6,130
After transaction/revaluation
Liability (Rmb mn) 5,577
Equity value (Rmb mn) 1,183
Enterprise value (Rmb mn) 6,760
Transaction price
Equity value (Rmb/kW) 789
Enterprise value (Rmb/kW) 4,507
Source: Company data, Credit Suisse estimates
Figure 109: Attributable capacity with (without) asset injection
Source: Company data, Credit Suisse estimates
7,7596,882 7,302
8,724
4,000
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
2014 2015E 2016E 2017E
(MW)
IDEAS ENGINE 48
China Power Sector
Superior utilisation hours in Inner Mongolia
Jingneng has 61% of its attributable capacity in Inner Mongolia. While Inner Mongolia is not
without local issues (delayed transmission construction subduing utilisation of local wind farms
and coal-fired power), Jingneng's coal-fired units in Inner Mongolia have outperformed local
and national benchmarks over the past three years. The utilisation hours of the company's units
in other provinces (Ningxia and Shanxi) are not as high as that of Inner Mongolia, but still much
higher than the national average during 2013 and 2014.
Figure 110: Utilisation hours comparison of coal-fired units
Source: Company data, Credit Suisse estimates
Figure 111: Outbound ultra-high voltage transmission in the pipeline
Lines Chinese name Location MW Year of likely
completion
Ximeng-Shandong 锡盟-山东 EIM 9,000 2016
WIM - Tianjin 蒙西-天津 WIM 6,000 2016
Shanghaimiao -
Shandong
上海庙-山东 WIM 8,000 2017
Ximeng-Jiangsu 锡盟-江苏 EIM 8,000 2017
Zhalute-Henan 扎鲁特-河南 EIM 10,000 2018
Humeng-Qingzhou 呼盟-青州 EIM 8,000 2018
WIM - Hubei 西盟-湖北 WIM 8,000 2018
WIM total 22,000
EIM total 35,000
Source: State Grid, NDRC, Credit Suisse estimates
Largely due to lower coal prices, the current transmission tariff of Jingneng's units targeting
power export, is 2–18% lower than the on-grid tariff of provinces in North China.
Figure 112: Comparison of Inner Mongolia's transmission tariff with on-grid tariffs of North
China provinces (Rmb/kWh)—the tariff is eligible starting April 2015
Inner Mongolia cross-provincial transmission (unit to grid) 0.3458
Beijing 0.3754
Tianjin 0.3815
Hebei (North) 0.3971
Hebei (South) 0.3914
Shanxi 0.3538
Shandong 0.4194
Source: Company data, Credit Suisse estimates
A potential leap into the power retail market—not as high a possibility as Mengdian
Similar to our analysis for Mengdian, Jingneng is also a strong candidate to tap into the
Western Inner Mongolia power retail business. We have calculated that the business could
generate annual profit of Rmb1.9 bn assuming a 3% net margin (based on Western examples),
which is lucrative vs Jingneng's annual profit. However, despite its large presence in Inner
Mongolia, we believe Jingneng is not as well-positioned in participating in the downstream
power retail of Inner Mongolia compared with Mengdian, as Jingneng is ultimately controlled by
Beijing SASAC rather than the Inner Mongolia local government. Meanwhile, Jingneng has
currently 12% of its attributable capacity in Ningxia, which is also listed for the next batch of
power reforms.
Figure 113: Attributable capacity comparison
Note: Listed companies are those under Credit Suisse coverage.
Source: CEIC, Credit Suisse estimates
4,500
4,700
4,900
5,100
5,300
5,500
5,700
5,900
2012 2013 2014
Jingneng's units in Inner Mongolia Jingneng's units in other provinces
Inner Mongolia National average
12%6%
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
Mengdian Jingneng Inner Mongolia
(MW)
IDEAS ENGINE 49
China Power Sector
Figure 114: Western Inner Mongolia—power retail earnings potential
Source: CEIC, Credit Suisse estimates
Key risks to our call
More-than-expected cut of coal-fired tariffs and less-than-expected drop of coal
prices
We currently forecast another 0.5 fen per kWh tariff cut for coal-fired power units in Inner
Mongolia (lower than coastal provinces with 1 fen per kWh cut). In the last tariff cut in April
2015, Inner Mongolia also enjoyed a smaller cut (0.67 fen cut in Western Inner Mongolia vs
national average at 2 fen cut). We estimate 1% more tariff cut would lead to 3% FY16E EPS
downside.
Lower-than-expected utilisation hours
Historically, Inner Mongolia has enjoyed higher utilisation hours than the national average. If the
construction of ultra-high-voltage transmission lines is slower than expected, this could impact
the utilisation of Jingneng’s units.
Delay of the existing project construction
If projects are delayed beyond the expected launch dates, then Jingneng will be impacted.
Delay of asset injections
Figure 115: Utilisation hours comparison of coal-fired units
Source: Company data, Credit Suisse estimates
1.92.0
1.9
0.0
0.5
1.0
1.5
2.0
2.5
Western I.M. @ 3% netmargin
Mengdian (FY16 net profit) Jingneng (FY16 net profit)
(Rmb bn)
IDEAS ENGINE 50
China Power Sector
Appendix: Company background Beijing Jingneng Power (Jingneng) was established in 2000 and was listed in the China A-
share market in 2002. The company has expanded its power and heat generation business
from Beijing to Inner Mongolia, Hebei, Shanxi, Ningxia, Hubei, etc., over the years. The parent
company (Beijing Energy Investment Holdings, or Jingneng Group) directly and indirectly holds
a 53.8% stake in the listco.
As of 2014, the company had consolidated power generation capacity of 8.2GW and
attributable capacity of 7.8GW. Around 61% of Jingneng's attributable capacity is located in
Inner Mongolia, with relatively more defensive thermal utilisation given the low fuel cost and on-
grid tariff in Inner Mongolia compared with other provinces.
Figure 116: Jingneng's shareholding structure
Source: Company data
80.0%
4.0%
62.1% 9.2% 1.6%
Beijing SASAC
Shenergy Company Ltd
Beijing Energy Investment Holding Co., Ltd (Jingneng Group)
Beijing Jingneng International
Energy Co., Ltd. Group
Beijing Jingneng Power (Jingneng)
Shanxi International Power
IDEAS ENGINE 51
China Power Sector
Longyuan Power (0916.HK / 916 HK)
Wind market leader to recover
Dave Dai, CFA / 852 2101 7358 / [email protected]
Ran Ma / 852 2101 6653 / [email protected]
■ Maintain OUTPERFORM. We remain positive on the outlook of wind operators which
should enjoy a year of earnings recovery, driven by improving utilisation and supportive
policies. We roll over our DCF-based target price to the following year, which results in our
target price increasing to HK$11.50 (from HK$10.50).
■ Recovering wind speeds. Longyuan Power (LYP) has reported a 17% YoY increase in
wind output (3% utilisation recovery) in 1Q15. Given the much weaker wind resources
recorded in 2Q-3Q14, we believe LYP could see stronger growth for the next two quarters
if wind speed continues to stabilise. Our wind speed monitor has suggested a continuing
recovery of wind speeds in MTD April.
■ A clear beneficiary from RQS. Among different locations, we believe that Hebei and
three Northeast provinces should see a reduction in curtailment and improving utilisation
hours helped by the potential launch of Renewables Quotas System (RQS). LYP has ~27%
capacity exposure to these locations. If the new policy is launched within 1H15, we could
see some earnings upside starting 2H15.
■ Valuation. Our target price of Rmb11.50 implies 18x FY15 P/E (lower than the peak
multiple of 22x P/E) which we regard as justified given renewables have the most
favourable position through the upcoming power reform storm with fast changing dynamics.
Key downside risks are lower-than-expected utilisation hours and further delay in the
RQS policies.
Rating OUTPERFORM* Price (24 Apr 15, HK$) 9.65 Target price (HK$) (from 10.50) 11.50¹ Upside/downside (%) 19.2 Mkt cap (HK$ mn) 77,551 (US$10,007 mn) Enterprise value (Rmb mn) 135,496 Number of shares (mn) 8,036.39 Free float (%) 41.6 52-week price range 10.04–7.17 ADTO - 6M (US$ mn) 16.4 *Stock ratings are relative to the coverage universe in each analyst's or each
team's respective sector.
¹Target price is for 12 months.
Share price performance
The price relative chart measures performance against the MSCI CHINA F
IDX which closed at 8549.44 on 24/04/15
On 24/04/15 the spot exchange rate was HK$7.75/US$1
Performance over 1M 3M 12M Absolute (%) 18.8 10.9 14.3 Relative (%) 0.4 -19.4 -102.6
Financial and valuation metrics
Year 12/14A 12/15E 12/16E 12/17E Revenue (Rmb mn) 18,207.2 20,804.7 22,689.5 24,345.4 EBITDA (Rmb mn) 11,559.5 14,141.3 15,810.3 17,185.2 EBIT (Rmb mn) 6,558.9 8,613.1 9,846.3 10,808.5 Net profit (Rmb mn) 2,558.0 4,178.1 5,207.9 5,884.7 EPS (CS adj.) (Rmb) 0.32 0.52 0.65 0.73 Change from previous EPS (%) n.a. 0 0 0 Consensus EPS (Rmb) n.a. 0.44 0.52 0.61 EPS growth (%) 24.7 63.3 24.6 13.0 P/E (x) 24.2 14.8 11.9 10.5 Dividend yield (%) 0.8 1.3 1.7 1.9 EV/EBITDA (x) 11.2 9.6 8.7 8.1 P/B (x) 1.9 1.7 1.5 1.4 ROE (%) 8.0 12.0 13.5 13.7 Net debt/equity (%) 165.1 162.2 150.4 137.4
Source: Company data, Thomson Reuters, Credit Suisse estimates.
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IDEAS ENGINE 52
China Power Sector
Huaneng Renewables Corporation (0958.HK / 958 HK)
Strong year ahead
Dave Dai, CFA / 852 2101 7358 / [email protected]
Ran Ma / 852 2101 6653 / [email protected]
■ Maintain OUTPERFORM. We remain positive on the outlook of wind operators which
should enjoy a year of earnings recovery, driven by improving utilisation and supportive
policies. We roll over our DCF-based target price to the following year, which results in our
target price increasing to HK$4.0 (from HK$3.80).
■ Recovering wind speeds. Huaneng Renewables (HNR) has reported a 25% YoY
increase in wind output (4% utilisation recovery) in 1Q15. Given the much weaker wind
resources recorded in 2Q-3Q14, we believe HNR could see stronger growth over the next
two quarters if wind speed continues to stabilise. Our wind speed monitor has suggested a
continuing recovery in wind speeds in MTD April.
■ One of the biggest beneficiaries from RQS. Among different locations, we believe that
Hebei and three Northeast provinces should see a reduction in curtailment and improving
utilisation hours helped by the potential launch of the Renewables Quotas System (RQS). If
the new policy is launched within 1H15, we could see some earning upside starting 2H15.
■ Valuation. Our target price implies 16x FY15E P/E (lower than the peak multiple of 17x
P/E) which we regard as justified given that renewables have the most favourable position
through the upcoming power reform storm with fast changing dynamics. We prefer HNR to
LYP given higher EPS sensitivity to top line improvement (4% vs 2%). Key downside
risks are lower-than-expected utilisation hours and further delay in RQS policies.
Rating OUTPERFORM* Price (24 Apr 15, HK$) 3.30 Target price (HK$) (from 3.80) 4.00¹ Upside/downside (%) 21.2 Mkt cap (HK$ mn) 32,102 (US$4,142 mn) Enterprise value (Rmb mn) 79,510 Number of shares (mn) 9,728.00 Free float (%) 38.7 52-week price range 3.37–2.23 ADTO - 6M (US$ mn) 9.7 *Stock ratings are relative to the coverage universe in each analyst's or each
team's respective sector.
¹Target price is for 12 months.
Share price performance
The price relative chart measures performance against the MSCI CHINA F
IDX which closed at 8549.44 on 24/04/15
On 24/04/15 the spot exchange rate was HK$7.75/US$1
Performance over 1M 3M 12M Absolute (%) 20.9 19.6 25.0 Relative (%) -0.3 -0.9 -18.3
Financial and valuation metrics
Year 12/14A 12/15E 12/16E 12/17E Revenue (Rmb mn) 6,151.1 8,190.1 10,121.3 12,047.7 EBITDA (Rmb mn) 5,616.1 7,406.7 9,105.7 10,796.8 EBIT (Rmb mn) 3,345.8 4,589.1 5,672.4 6,789.4 Net profit (Rmb mn) 1,121.0 1,915.8 2,683.8 3,172.4 EPS (CS adj.) (Rmb) 0.12 0.20 0.28 0.33 Change from previous EPS (%) n.a. 0 -0.0 0 Consensus EPS (Rmb) n.a. 0.18 0.22 0.29 EPS growth (%) 16.3 58.9 40.1 18.2 P/E (x) 21.3 13.4 9.6 8.1 Dividend yield (%) 0.9 1.5 2.1 2.5 EV/EBITDA (x) 11.6 10.7 9.9 9.2 P/B (x) 1.5 1.5 1.3 1.1 ROE (%) 7.5 11.4 14.3 15.1 Net debt/equity (%) 234.3 291.7 310.1 318.5
Source: Company data, Thomson Reuters, Credit Suisse estimates.
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IDEAS ENGINE 53
China Power Sector
Huadian Fuxin Energy Corporation Limited (0816.HK / 816 HK)
Reassessing the different moving pieces
Dave Dai, CFA / 852 2101 7358 / [email protected]
Ran Ma / 852 2101 6653 / [email protected]
■ Maintain OUTPERFORM. We remain positive on Huadian Fuxin (HDF) given: (1) the wind
power segment should benefit from recovering wind resources and favourable policies
(Renewable Quota system) and (2) nuclear earnings to contribute starting FY15 and the
recent approval of Fuqing 5-6 could provide long-term earning support but (3) coal-fired
power could be under pressure with a larger-than-expected tariff cut in Fujian.
■ Short-term pressure on coal-fired units. With the launch of four nuclear units in Fujian
(Ningde 3-4 and Fuqing 3-4) in the next two years, we expect HDF's coal-fired units to
suffer some near-term pressure in utilisation. Additionally, the recent tariff cut (3 fen/kWh)
in Fujian is the largest in China.
■ Larger exposure in nuclear. HDF currently has a 39% stake in Fuqing Phase 1 and we
forecast nuclear earnings to account for 10% and 15% of its overall earnings in FY15E and
FY16E, respectively. With the approval of Fuqing Phase 2 (probably starting operation in 5–
6 years' time) and the purchase of 10% equity interest from parentco in the Sanmen, the
larger nuclear exposure provides long-term earnings upside for the company.
■ Valuation. Our FY15-16 EPS is cut by 3%/1% as a result of the recent coal-fired tariff
cut and lower coal-fired utilisation hours, but largely offset by two more rate cuts and better
hydro output (as shown in 1Q15). Our DCF-based target price is slightly raised to HK$5.50
to incorporate the valuation contribution from Fuqing Phase II. We see valuation upside from
the current 11x FY15 P/E, which is one of the lowest among wind operators.
Rating OUTPERFORM* Price (24 Apr 15, HK$) 4.34 Target price (HK$) (from 5.30) 5.50¹ Upside/downside (%) 26.7 Mkt cap (HK$ mn) 36,491 (US$4,708 mn) Enterprise value (Rmb mn) 90,186 Number of shares (mn) 8,407.96 Free float (%) 30.6 52-week price range 4.84–3.16 ADTO - 6M (US$ mn) 11.6 *Stock ratings are relative to the coverage universe in each analyst's or each
team's respective sector.
¹Target price is for 12 months.
Share price performance
The price relative chart measures performance against the MSCI CHINA F
IDX which closed at 8549.44 on 24/04/15
On 24/04/15 the spot exchange rate was HK$7.75/US$1
Performance over 1M 3M 12M Absolute (%) 19.6 14.8 10.4 Relative (%) -1.6 -5.6 -32.9
Financial and valuation metrics
Year 12/14A 12/15E 12/16E 12/17E Revenue (Rmb mn) 13,895.4 16,171.5 17,869.4 19,681.4 EBITDA (Rmb mn) 7,608.6 9,788.1 11,088.1 12,480.9 EBIT (Rmb mn) 4,941.5 6,193.3 6,863.6 7,653.3 Net profit (Rmb mn) 1,867.2 2,746.9 3,337.5 3,911.7 EPS (CS adj.) (Rmb) 0.23 0.33 0.40 0.47 Change from previous EPS (%) n.a. -3.0 -1.4 -0.2 Consensus EPS (Rmb) n.a. 0.31 0.37 0.43 EPS growth (%) 21.5 39.6 21.5 17.2 P/E (x) 14.8 10.6 8.7 7.5 Dividend yield (%) 1.3 1.8 2.9 3.4 EV/EBITDA (x) 10.2 9.2 8.8 8.2 P/B (x) 1.8 1.7 1.5 1.3 ROE (%) 14.2 17.0 18.1 18.5 Net debt/equity (%) 274.9 301.4 296.4 274.9
Source: Company data, Thomson Reuters, Credit Suisse estimates.
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IDEAS ENGINE 54
China Power Sector
Huadian Power International (1071.HK / 1071 HK)
The most expensive H-share IPP
Dave Dai, CFA / 852 2101 7358 / [email protected]
Ran Ma / 852 2101 6653 / [email protected]
■ Downgrade to UNDERPERFORM. We cut our target price for Huadian Power (HDP) to
HK$6.40 from HK$6.60 based on 1.2x FY16E P/B (previously 1.3x FY15E P/B) as we
now use an average of stable- and slow-demand scenarios to look at sustainable ROE
(11%). In the slow demand scenario, ROE can average ~10% in FY16-20. We downgrade
the stock to UNDERPERFORM as it is the most expensive H-share IPP, in our view. We
have not cut earnings to reflect the slow-demand scenario but further weak signs could
impact valuation ahead of earnings.
■ Reform hurts. China aims for full liberalisation of power pricing and when this happens,
depressed tariffs could force the exit of uncompetitive smaller units together with a large
impairment (before full depreciation). Based on our calculation, around 41% of HDP's
capacity consists of small units (<=300MW) which are not for power and heat co-
generation (less competitive and facing shut-down risks), the highest among national IPPs.
■ Good asset injection potential but timeline is uncertain. Apart from the 5GW thermal
power assets injection (13% of HDP's existing capacity) announced at end-2014 (pricing
details not determined yet), further asset injection opportunity is still under review and there
is no near-term timeline, according to management. However, our earlier analysis on the
parentco's unlisted assets suggests that HDP would have the largest earnings upside
among large-scale coal-fired IPPs if all unlisted assets were injected.
■ Valuation. Current FY15E P/B is higher than its past-five-year average, which could be
reflecting expectations of near-term asset injections. Key upside risks to our call include:
(1) earlier-than-expected asset injections; and (2) less-than-expected tariff cut for coal-fired
power.
Rating (from Neutral) UNDERPERFORM* Price (24 Apr 15, HK$) 8.70 Target price (HK$) (from 6.60) 6.40¹ Upside/downside (%) -26.4 Mkt cap (HK$ mn) 92,043 (US$11,876 mn) Enterprise value (Rmb mn) 189,999 Number of shares (mn) 8,807.29 Free float (%) 50.0 52-week price range 8.98–4.06 ADTO - 6M (US$ mn) 14.5 *Stock ratings are relative to the coverage universe in each analyst's or each
team's respective sector.
¹Target price is for 12 months.
Share price performance
The price relative chart measures performance against the MSCI CHINA F
IDX which closed at 8549.44 on 24/04/15
On 24/04/15 the spot exchange rate was HK$7.75/US$1
Performance over 1M 3M 12M Absolute (%) 44.0 34.1 114.3 Relative (%) 22.9 13.6 71.0
Financial and valuation metrics
Year 12/14A 12/15E 12/16E 12/17E Revenue (Rmb mn) 67,781.8 67,447.0 69,395.0 72,600.5 EBITDA (Rmb mn) 22,789.2 22,850.3 22,481.6 23,351.5 EBIT (Rmb mn) 14,723.5 13,769.9 12,471.4 12,465.1 Net profit (Rmb mn) 5,959.0 5,541.2 4,963.8 5,034.3 EPS (CS adj.) (Rmb) 0.68 0.63 0.56 0.57 Change from previous EPS (%) n.a. 0 0 0 Consensus EPS (Rmb) n.a. 0.67 0.67 0.67 EPS growth (%) 21.7 -7.0 -10.4 1.4 P/E (x) 10.3 11.0 12.3 12.2 Dividend yield (%) 3.9 3.7 3.3 3.3 EV/EBITDA (x) 8.0 8.3 8.5 8.0 P/B (x) 1.9 1.7 1.6 1.5 ROE (%) 21.8 16.6 13.6 12.8 Net debt/equity (%) 253.3 242.2 224.5 197.4
Source: Company data, Thomson Reuters, Credit Suisse estimates.
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IDEAS ENGINE 55
China Power Sector
Huadian Power International (600027.SS / 600027 CH)
Victim of power reform
Dave Dai, CFA / 852 2101 7358 / [email protected]
Ran Ma / 852 2101 6653 / [email protected]
■ Maintain UNDERPERFORM. We cut our target price for Huadian Power (HDP) to
Rmb5.10 (from Rmb5.20) based on 1.2x FY16E P/B (previously 1.3x FY15E P/B) as we
now use an average of stable- and slow-demand scenario to look at sustainable ROE
(11%). In the slow demand scenario, ROE can average ~10% in FY16-20. We downgrade
the stock to UNDERPERFORM. We have not cut earnings to reflect the slow-demand
scenario but further weak signs could impact valuation ahead of earnings.
■ Reform hurts. China aims for full liberalisation of power pricing and when this happens,
depressed tariffs could force the exit of the uncompetitive smaller units together with a large
impairment (before full depreciation). Based on our calculation, around 41% of HDP's
capacity consists of small units (<=300MW) which are not for power and heat co-
generation (less competitive and facing shut-down risks), the highest among national IPPs.
■ Good asset injection potential but timeline is uncertain. Apart from the 5GW thermal
power assets injection (13% of HDP's existing capacity) announced at end-2014 (pricing
details not determined yet), further asset injection opportunity is still under review and there
is no near-term timeline, according to management. However, our earlier analysis on the
parentco's unlisted assets suggests that HDP would have the largest earnings upside
among large-scale coal-fired IPPs if all unlisted assets were injected.
■ Valuation: Current FY15E P/B is higher than its past-five-year average, which could be
reflecting expectations of near-term asset injections. Key upside risks to our call include:
(1) earlier-than-expected asset injections; (2) less-than-expected tariff cut for coal-fired
power.
Rating UNDERPERFORM* Price (24 Apr 15, Rmb) 8.69 Target price (Rmb) (from 5.20) 5.10¹ Upside/downside (%) -41.3 Mkt cap (Rmb mn) 73,551 (US$ 11,876) Enterprise value (Rmb mn) 189,999 Number of shares (mn) 8,807.29 Free float (%) 50.0 52-week price range 8.94 - 2.94 ADTO - 6M (US$ mn) 14.5 *Stock ratings are relative to the coverage universe in each analyst's or each
team's respective sector.
¹Target price is for 12 months.
Share price performance
The price relative chart measures performance against the Shanghai
Shenzhen CSI300 index which closed at 4702.64 on 05/03/15
On 05/03/15 the spot exchange rate was Rmb6.19/US$1
Performance over 1M 3M 12M Absolute (%) 30.1 41.1 177.6 Relative (%) 11.7 10.7 60.7
Financial and valuation metrics
Year 12/14A 12/15E 12/16E 12/17E Revenue (Rmb mn) 67,781.8 67,447.0 69,395.0 72,600.5 EBITDA (Rmb mn) 22,789.2 22,850.3 22,481.6 23,351.5 EBIT (Rmb mn) 14,723.5 13,769.9 12,471.4 12,465.1 Net profit (Rmb mn) 5,959.0 5,541.2 4,963.8 5,034.3 EPS (CS adj.) (Rmb) 0.68 0.63 0.56 0.57 Change from previous EPS (%) n.a. 0 0 0 Consensus EPS (Rmb) n.a. 0.70 0.72 0.81 EPS growth (%) 21.7 -7.0 -10.4 1.4 P/E (x) 12.8 13.8 15.4 15.2 Dividend yield (%) 3.1 2.9 2.6 2.7 EV/EBITDA (x) 8.0 8.3 8.5 8.0 P/B (x) 2.4 2.2 2.0 1.9 ROE (%) 21.8 16.6 13.6 12.8 Net debt/equity (%) 253.3 242.2 224.5 197.4
Source: Company data, Thomson Reuters, Credit Suisse estimates.
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IDEAS ENGINE 56
China Power Sector
China Resources Power Holdings (0836.HK / 836 HK)
Unattractive risk-reward
Dave Dai, CFA / 852 2101 7358 / [email protected]
Ran Ma / 852 2101 6653 / [email protected]
■ Maintain UNDERPERFORM. We cut our target price for China Resources Power (CRP) to
HK$16.30 (from HK$17.00) based on 1.2x FY16E P/B (previously 1.3x FY15E P/B) as
we now use an average of stable- and slow-demand scenario to look at sustainable ROE
(12%) as in a slowing-demand scenario. Meanwhile, CRP does not have parent support on
further asset injections.
■ A potential survivor post consolidation. China aims for full liberalisation of power pricing
and when this happens, depressed tariffs could force the exit of uncompetitive smaller units
together with a large impairment (before full depreciation). Based on our calculation, around
16% of CRP's capacity consists of small units (<=300MW) which are not for power and
heat co-generation (less competitive and facing shut-down risks), which is much lower than
national IPP peers at 19-41%. This could make CRP a post-consolidation survivor but there
can be pain before gain with utilisation/tariff risks in the process.
■ Asset injection not a theme for CRP. Unlike other IPPs such as Huadian Power, Datang
Power and Huaneng Power, the parent company of CRP has little power generation assets
that can be injected into the listco. We expect the organic capacity growth for CRP would
also slow down from 11% CAGR in FY12-14 to 7% in FY15-17E given the prevailing
weakness in thermal power demand.
■ Valuation. Current FY15E P/B is higher than its past five-year average and may not be
sustainable with decreasing ROE (13% in FY17E). Key upside risks to our call include:
(1) better-than-expected thermal power utilisation in coastal regions; and (2) less-than-
expected tariff cut for coal-fired power.
Rating UNDERPERFORM* Price (24 Apr 15, HK$) 23.30 Target price (HK$) (from 17.00) 16.30¹ Upside/downside (%) -30.0 Mkt cap (HK$ mn) 111,810 (US$14,427 mn) Enterprise value (HK$ mn) 204,573 Number of shares (mn) 4,798.70 Free float (%) 36.5 52-week price range 24.5–18.2 ADTO - 6M (US$ mn) 19.7 *Stock ratings are relative to the coverage universe in each analyst's or each
team's respective sector.
¹Target price is for 12 months.
Share price performance
The price relative chart measures performance against the MSCI CHINA F
IDX which closed at 8549.44 on 05/03/15
On 05/03/15 the spot exchange rate was HK$7.75/US$1
Performance over 1M 3M 12M Absolute (%) 20.1 11.2 17.2 Relative (%) -1.1 -9.2 -26.1
Financial and valuation metrics
Year 12/14A 12/15E 12/16E 12/17E Revenue (HK$ mn) 70,680.6 78,232.2 84,629.3 88,628.2 EBITDA (HK$ mn) 23,819.7 29,621.4 30,656.3 31,481.1 EBIT (HK$ mn) 15,220.2 20,219.2 20,101.7 19,976.9 Net profit (HK$ mn) 9,214.9 12,150.2 12,064.1 12,049.7 EPS (CS adj.) (HK$) 1.92 2.53 2.51 2.51 Change from previous EPS (%) n.a. 0 0 0 Consensus EPS (HK$) n.a. 2.50 2.59 2.60 EPS growth (%) -17.3 31.9 -0.7 -0.1 P/E (x) 12.1 9.2 9.3 9.3 Dividend yield (%) 3.3 3.5 3.8 3.8 EV/EBITDA (x) 8.5 6.9 6.4 6.1 P/B (x) 1.6 1.4 1.3 1.2 ROE (%) 13.6 16.2 14.5 13.3 Net debt/equity (%) 106.5 96.8 81.2 69.0
Source: Company data, Thomson Reuters, Credit Suisse estimates.
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IDEAS ENGINE 57
China Power Sector
Huaneng Power International Inc (0902.HK / 902 HK)
The worst is yet to come
Dave Dai, CFA / 852 2101 7358 / [email protected]
Ran Ma / 852 2101 6653 / [email protected]
■ One of the top sells. We cut our target price for Huaneng Power (HNP) to HK$7.30
(from HK$7.70) based on 1.0x FY16E P/B (previously 1.2x FY15E P/B) as we now use
an average of stable- and slow-demand scenario to look at sustainable ROE (10.5%). In
the slow demand scenario, ROE can average ~8.7% in FY16-20 given HNP's higher
exposure to smaller units (shutdown risks). We have not cut earnings to reflect the slow-
demand scenario but further weak signs could impact valuation ahead of earnings.
■ Painful industry consolidation. China aims for full liberalisation of power pricing and
when this happens, depressed tariffs could force the exit of uncompetitive smaller units
together with a large impairment (before full depreciation). The tariffs for HNP's direct
supplied power in 2014 (8-10% lower on average) is a very strong early signal of what
market forces can do. Based on our calculation, close to 40% of HNP's capacity consists
of small units (<=300MW) and 89% of such units are not for power and heat co-
generation, which may be less competitive and face shutdown risks.
■ Asset injection limited. After the asset injection at end-2014, we expect limited profitable
assets to be injected into HNP in the near term, based on our analysis of the parentco's
unlisted assets. Besides, the total unlisted thermal capacity represents only 58% of HNP's
capacity (2013 data), lower than peers at over 100%.
■ Valuation unattractive. The stock is currently trading at 1.7x 2015E P/B, much higher
than its five-year historical average of 1.1x, unjustified given our projected long-term ROE
of 11%. The key upside risks to our forecasts are better-than-expected utilisation hours
and later-than-expected tariff cuts.
Rating UNDERPERFORM* Price (24 Apr 15, HK$) 11.30 Target price (HK$) (from 7.70) 7.30¹ Upside/downside (%) -35.4 Mkt cap (HK$ mn) 188,313 (US$24,298 mn) Enterprise value (Rmb mn) 316,747 Number of shares (mn) 14,420.38 Free float (%) 48.7 52-week price range 11.66–7.57 ADTO - 6M (US$ mn) 37.5 *Stock ratings are relative to the coverage universe in each analyst's or each
team's respective sector.
¹Target price is for 12 months.
Share price performance
The price relative chart measures performance against the MSCI CHINA F
IDX which closed at 8549.44 on 24/04/15
On 24/04/15 the spot exchange rate was HK$7.75/US$1
Performance over 1M 3M 12M Absolute (%) 28.7 0.5 46.0 Relative (%) 7.5 -19.9 2.7
Financial and valuation metrics
Year 12/14A 12/15E 12/16E 12/17E Revenue (Rmb mn) 125,406.9 137,510.3 137,490.2 143,090.8 EBITDA (Rmb mn) 36,921.3 39,820.2 37,649.0 38,999.2 EBIT (Rmb mn) 25,274.6 26,748.9 23,560.7 24,464.7 Net profit (Rmb mn) 10,672.2 12,067.0 10,816.0 11,558.8 EPS (CS adj.) (Rmb) 0.75 0.84 0.75 0.80 Change from previous EPS (%) n.a. 0 0 0 Consensus EPS (Rmb) n.a. 0.92 0.94 0.91 EPS growth (%) 1.6 11.0 -10.4 6.9 P/E (x) 12.0 10.8 12.0 11.3 Dividend yield (%) 4.2 5.1 4.6 4.9 EV/EBITDA (x) 7.9 8.0 8.2 7.6 P/B (x) 1.8 1.7 1.6 1.5 ROE (%) 16.1 16.6 13.8 13.9 Net debt/equity (%) 167.4 174.3 152.6 132.4
Source: Company data, Thomson Reuters, Credit Suisse estimates.
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IDEAS ENGINE 58
China Power Sector
Huaneng Power International Inc (600011.SS / 600011 CH)
Stay negative
Dave Dai, CFA / 852 2101 7358 / [email protected]
Ran Ma / 852 2101 6653 / [email protected]
■ Maintain UNDERPERFORM. We cut our target price for Huaneng Power-A (HNP-A) to
Rmb5.80 (from Rmb6.20) based on 1.0x FY16E P/B (previously 1.2x FY15E P/B) as we
now use an average of stable- and slow-demand scenario to look at sustainable ROE
(10.5%). In the slow demand scenario, ROE can average ~8.7% in FY16-20 given HNP's
higher exposure to smaller units (shutdown risks). We have not cut earnings to reflect the
slow-demand scenario but further weak signs could impact valuation ahead of earnings.
■ Painful industry consolidation. China aims for full liberalisation of power pricing and
when this happens, depressed tariffs could force the exit of uncompetitive smaller units
together with a large impairment (before full depreciation). The tariffs for HNP's direct
supplied power in 2014 (8-10% lower on average) is a very strong early signal of what
market forces can do. Based on our calculation, close to 40% of HNP's capacity consists
of small units (<=300MW) and 89% of such units are not for power and heat co-
generation, which may be less competitive and face shut-down risks.
■ Asset injection limited. After the asset injection at end-2014, we expect limited profitable
assets to be injected into HNP in the near term, based on our analysis of the parentco's
unlisted assets. Besides, the total unlisted thermal capacity represents only 58% of HNP's
capacity (2013 data), lower than peers at over 100%.
■ Valuation unattractive. The stock is currently trading at 2.0x 2015E P/B, much higher
than its five-year historical average of 1.1x, unjustified given our projected long-term ROE
of 11%. The key upside risks to our forecasts are better-than-expected utilisation hours
and later-than-expected tariff cuts.
Rating UNDERPERFORM* Price (24 Apr 15, Rmb) 10.96 Target price (Rmb) (from 6.20) 5.80¹ Upside/downside (%) -47.1 Mkt cap (Rmb mn) 150,480 (US$ 24,298) Enterprise value (Rmb mn) 316,747 Number of shares (mn) 14,420.38 Free float (%) 48.7 52-week price range 10.96 - 5.27 ADTO - 6M (US$ mn) 37.5 *Stock ratings are relative to the coverage universe in each analyst's or each
team's respective sector.
¹Target price is for 12 months.
Share price performance
The price relative chart measures performance against the Shanghai
Shenzhen CSI300 index which closed at 4702.64 on 24/04/15
On 24/04/15 the spot exchange rate was Rmb6.19/US$1
Performance over 1M 3M 12M Absolute (%) 34.0 29.4 105.2 Relative (%) 12.8 9.0 62.0
Financial and valuation metrics
Year 12/14A 12/15E 12/16E 12/17E Revenue (Rmb mn) 125,406.9 137,510.3 137,490.2 143,090.8 EBITDA (Rmb mn) 36,921.3 39,820.2 37,649.0 38,999.2 EBIT (Rmb mn) 25,274.6 26,748.9 23,560.7 24,464.7 Net profit (Rmb mn) 10,672.2 12,067.0 10,816.0 11,558.8 EPS (CS adj.) (Rmb) 0.75 0.84 0.75 0.80 Change from previous EPS (%) n.a. 0 0 0 Consensus EPS (Rmb) n.a. 0.92 0.95 0.93 EPS growth (%) 1.6 11.0 -10.4 6.9 P/E (x) 14.5 13.1 14.6 13.7 Dividend yield (%) 3.5 4.2 3.8 4.0 EV/EBITDA (x) 7.9 8.0 8.2 7.6 P/B (x) 2.2 2.1 2.0 1.8 ROE (%) 16.1 16.6 13.8 13.9 Net debt/equity (%) 167.4 174.3 152.6 132.4
Source: Company data, Thomson Reuters, Credit Suisse estimates.
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IDEAS ENGINE 59
China Power Sector
China Yangtze Power Co Ltd (600900.SS / 600900 CH)
Low-cost hydro deserves a premium
Dave Dai, CFA / 852 2101 7358 / [email protected]
■ Preferred hydro play. We moved China Yangtze Power (CYP) back to our top pick among
hydro (previous top pick: Sichuan Chuantou) with lower tariff risks and more competitive
advantage going into the power reform era. We revised up our FY15-16E EPS by 2-4%
following a very strong hydro output in 1Q15 and possible further interest rate cuts (CS
expects two more cuts totalling 50 bp in 2015). We have raised our new DCF-based target
price to Rmb14.80 (Rmb4.10 from injection) with higher profit forecasts and lower cost of
debt assumption (down 50 bp).
■ Decent hydro output in 1Q15. Despite flat YoY generation capacity, CYP's 1Q15 power
output increased 7.4% YoY (Three Gorges power plants registered an 8.1% YoY growth),
mainly driven by stronger-than-expected hydro resources (+17.5% YoY). As a result, we
raised our utilisation hour assumption for Three Gorges from 4,150 hours to 4,250 hours,
but still 3% below the utilisation in 2014 when CYP achieved record high power generation
since listing, to be conservative.
■ Limited tariff risk. With China's recent decision to cut average coal-fired tariff by 5%,
hydro power with retrospective tariff calculation is exposed to tariff risks vs cost-based units
like CYP's existing hydro plants. CYP's average hydro tariff is Rmb0.26/kWh, much lower
than the average coal tariff of Rmb0.4/kWh and peers at Rmb0.32-0.35/kWh.
■ Valuation. The stock is currently trading at 2.4x FY15E P/B, still 23% below peers'
average. We expect strong EPS and DPS upside from potential assets injection of Xiluodu
and Xiangjiaba hydro power plants, which would boost CYP's attributable capacity by 56%.
Maintain OUTPERFORM.
Rating OUTPERFORM* Price (24 Apr 15, Rmb) 12.60 Target price (Rmb) (from 12.20) 14.80¹ Upside/downside (%) 17.5 Mkt cap (Rmb mn) 207,900 (US$ 33,570) Enterprise value (Rmb mn) 262,786 Number of shares (mn) 16,500.00 Free float (%) 20.7 52-week price range 13.26 - 5.68 ADTO - 6M (US$ mn) 129.8 *Stock ratings are relative to the coverage universe in each analyst's or each
team's respective sector.
¹Target price is for 12 months.
Share price performance
The price relative chart measures performance against the Shanghai
Shenzhen CSI300 index which closed at 4702.64 on 24/04/15
On 24/04/15 the spot exchange rate was Rmb6.19/US$1
Performance over 1M 3M 12M Absolute (%) 17.4 21.3 116.1 Relative (%) -1.0 -9.1 -0.8
Financial and valuation metrics
Year 12/13A 12/14E 12/15E 12/16E Revenue (Rmb mn) 22,697.6 26,059.4 25,244.7 24,289.3 EBITDA (Rmb mn) 18,414.2 21,796.5 21,072.3 20,320.1 EBIT (Rmb mn) 12,128.6 15,645.6 15,184.8 14,683.3 Net profit (Rmb mn) 9,070.8 11,604.4 11,825.1 11,203.5 EPS (CS adj.) (Rmb) 0.55 0.70 0.72 0.68 Change from previous EPS (%) n.a. 0 4.4 2.3 Consensus EPS (Rmb) n.a. 0.72 0.69 0.65 EPS growth (%) -12.4 27.9 1.9 -5.3 P/E (x) 22.9 17.9 17.6 18.6 Dividend yield (%) 2.2 2.8 2.9 2.7 EV/EBITDA (x) 14.9 12.1 11.9 11.9 P/B (x) 2.7 2.5 2.3 2.2 ROE (%) 11.9 14.3 13.6 12.1 Net debt/equity (%) 84.2 65.4 48.8 34.8
Source: Company data, Thomson Reuters, Credit Suisse estimates.
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IDEAS ENGINE 60
China Power Sector
CGN Power Co., Ltd. (1816.HK / 1816 HK)
Downgrade to UNDERPERFORM with rising risks
Dave Dai, CFA / 852 2101 7358 / [email protected]
Ran Ma / 852 2101 6653 / [email protected]
■ Downgrade rating. We downgrade CGN Power (CGN) to UNDERPERFORM from
Neutral with China's introduction of peaking functions and possible delays in the Taishan
project. The stock is now trading at 26x FY15 P/E with little yield and one of the most
expensive large-cap global utilities names. We incorporated the newly approved Hongyanhe
Phase II project but the revised DCF-based target price of HK$3.40 still implies significant
downside.
■ Expectations are rich. We believe that the market is forecasting stable utilisation hours
across different locations but the recent reform document suggests the possibility of
peaking functions going forward, which implies possible utilisation downside. China has
started to investigate the equipment risks of the Taishan EPR project (10% of FY17E
attributable capacity) after receiving a warning from the French nuclear authority. We cut
our FY16-17 EPS forecasts by 4-6% on lower utilisation for Hongyanhe (very oversupplied)
after FY16 and delayed operation of Taishan by 12 months.
■ Not a lot left for immediate earnings upside. After Taishan, the parentco still owns the
Fangchenggang (Guangxi) project, if the project is injected, it could create ~9% attributable
capacity upside. Any new approval (such as the case of Hongyanhe Phase II) will take 5-6
years of construction time and contribute no earnings in the medium term. If Taishan is
delayed, it could push back the capacity growth beyond our forecast 2H16.
■ Rarity has a price. As the only listed pure nuclear operator in China, CGN is enjoying a
large scarcity premium, which we see as unjustified with rising earnings risks. Upside
investment risks are higher utilisation hours.
Rating (from Neutral) UNDERPERFORM* [V] Price (24 Apr 15, HK$) 4.48 Target price (HK$) (from 3.20) 3.40¹ Upside/downside (%) -24.1 Mkt cap (HK$ mn) 203,610 (US$ 26,272) Enterprise value (Rmb mn) 276,716 Number of shares (mn) 45,448.75 Free float (%) 41.6 52-week price range 4.65 - 3.07 ADTO - 6M (US$ mn) 86.6 *Stock ratings are relative to the coverage universe in each analyst's or each
team's respective sector.
¹Target price is for 12 months.
[V] = Stock considered volatile (see Disclosure Appendix).
Share price performance
The price relative chart measures performance against the MSCI CHINA F
IDX which closed at 8650.86 on 24/04/15
On 24/04/15 the spot exchange rate was HK$7.75/US$1
Performance over 1M 3M 12M Absolute (%) 40.9 43.1 — Relative (%) 20.1 22.7 —
Financial and valuation metrics
Year 12/14A 12/15E 12/16E 12/17E Revenue (Rmb mn) 20,793.3 21,760.8 26,248.4 32,901.2 EBITDA (Rmb mn) 12,446.3 13,402.2 15,786.2 19,452.9 EBIT (Rmb mn) 9,826.3 10,523.1 12,318.5 14,714.1 Net profit (Rmb mn) 5,712.2 6,185.8 7,151.2 8,193.2 EPS (CS adj.) (Rmb) 0.13 0.14 0.16 0.18 Change from previous EPS (%) n.a. -0.4 -5.5 -4.1 Consensus EPS (Rmb) n.a. 0.14 0.17 0.20 EPS growth (%) -18.0 8.3 15.6 14.6 P/E (x) 28.5 26.3 22.8 19.9 Dividend yield (%) 0.1 1.3 1.5 1.7 EV/EBITDA (x) 17.2 20.6 17.9 14.2 P/B (x) 3.2 3.0 2.7 2.5 ROE (%) 15.5 11.7 12.5 13.1 Net debt/equity (%) 85.5 151.7 145.9 127.4
Source: Company data, Thomson Reuters, Credit Suisse estimates.
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IDEAS ENGINE 61
China Power Sector
CGN Power Co. 1816.HK
Per share data 12/14A 12/15E 12/16E 12/17E
Shares (wtd avg.) (mn) 45,449 45,449 45,449 45,449
EPS (Credit Suisse) (Rmb) 0.13 0.14 0.16 0.18
DPS (Rmb) 0.00 0.04 0.05 0.06
BVPS (Rmb) 1.12 1.21 1.31 1.43
Operating CFPS (Rmb) 0.17 0.28 0.31 0.37
Key earnings drivers 12/14A 12/15E 12/16E 12/17E
Time weighted attributable capacity (MW) 7,888 9,943 12,037 13,778
Net generation (bn kWh) 73.9 90.3 116.0 138.6
Target price scenario Scenario TP %Up/Dwn Assumptions
Upside 3.70 (17.31) Average utilization hours of 7,900 for Guangdong, Fujian and Liaoning
Central Case 3.40 (24.11) Average utilization hours of 7,900 for Guangdong; 7,500 for Fujian and
7,000 for Liaoning
Downside 2.10 (53.07) Average utilization hours of 7,000 for Guangdong, Fujian and Liaoning
Rating (from Neutral) UNDERPERFORM* [V]
Price (24 Apr 15, HK$) 4.48
Target price (HK$) (from 3.20) 3.40¹
Upside/downside (%) -24.1
Mkt cap (HK$ mn) 203,610 (US$ 26,272)
Enterprise value (Rmb mn) 276,716
Number of shares (mn) 45,448.75
Free float (%) 41.6 52-week price range 4.65 - 3.07
ADTO - 6M (US$ mn) 85.3
Source: Credit Suisse Estimates
Income statement (Rmb mn) 12/14A 12/15E 12/16E 12/17E
Sales revenue 20,793 21,761 26,248 32,901
Cost of goods sold 10,703 11,613 14,447 18,786 SG&A 1,469 1,351 1,628 2,060 Other operating exp./(inc.) (3,825) (4,605) (5,613) (7,398) EBITDA 12,446 13,402 15,786 19,453
Depreciation & amortisation 2,620 2,879 3,468 4,739 EBIT 9,826 10,523 12,319 14,714
Net interest expense/(inc.) 3,204 3,198 3,538 4,452 Non-operating inc./(exp.) 715.8 — — — Associates/JV 461 1,307 1,474 1,750 Recurring PBT 7,799 8,632 10,254 12,013
Exceptionals/extraordinaries — — — — Taxes 925 1,119 1,353 1,602 Profit after tax 6,874 7,513 8,901 10,410
Other after tax income — — — — Minority interests 1,162 1,327 1,749 2,217 Preferred dividends — — — — Reported net profit 5,712 6,186 7,151 8,193
Analyst adjustments — — — — Net profit (Credit Suisse) 5,712 6,186 7,151 8,193
Cash flow (Rmb mn) 12/14A 12/15E 12/16E 12/17E
EBIT 9,826 10,523 12,319 14,714
Net interest (3,204) (3,198) (3,538) (4,452) Tax paid (925) (1,119) (1,353) (1,602) Working capital (4,859) 203 (562) (1,204) Other cash & non-cash items 6,769 6,382 7,329 9,526 Operating cash flow 7,608 12,791 14,194 16,982
Capex (9,755) (17,409) (11,167) (5,348) Free cash flow to the firm (2,147) (4,617) 3,027 11,634
Disposals of fixed assets — — — — Acquisitions (569) (11,042) — — Divestments — — — — Associate investments — — — — Other investment/(outflows) (60) 653 (2,336) 875 Investing cash flow (10,384) (27,797) (13,504) (4,473)
Equity raised 25,681 — — — Dividends paid (114) (2,041) (2,360) (2,704) Net borrowings 597 4,877 3,626 (3,531) Other financing cash flow (12,222) (6,606) (3,538) (4,452)
Financing cash flow 13,943 (3,771) (2,273) (10,686)
Total cash flow 11,167 (18,777) (1,582) 1,823
Adjustments — — — — Net change in cash 11,167 (18,777) (1,582) 1,823
Balance sheet (Rmb mn) 12/14A 12/15E 12/16E 12/17E
Cash & cash equivalents 26,712 6,811 5,229 7,052 Current receivables 2,346 2,408 2,903 3,674 Inventories 9,337 9,635 12,181 15,852 Other current assets 3,754 3,754 3,754 3,754 Current assets 42,150 22,608 24,067 30,333
Property, plant & equip. 93,983 169,794 177,255 177,613 Investments 15,026 14,840 18,566 19,357 Intangibles 730 1,747 1,663 1,579 Other non-current assets 5,037 9,012 9,108 9,205 Total assets 156,926 218,001 230,659 238,087
Accounts payable 6,166 6,362 8,044 10,468 Short-term debt 7,341 9,216 12,283 9,754 Current provisions 1,212 1,212 1,212 1,212 Other current liabilities 8,841 8,841 8,841 8,841 Current liabilities 23,559 25,632 30,380 30,275
Long-term debt 70,200 111,606 112,165 111,164 Non-current provisions 2,811 3,195 4,005 4,833 Other non-current liab. 939 2,403 2,403 2,403 Total liabilities 97,510 142,837 148,954 148,675
Shareholders' equity 50,789 54,933 59,724 65,214
Minority interests 8,628 20,231 21,981 24,198 Total liabilities & equity 156,926 218,001 230,659 238,087
IDEAS ENGINE 62
China Power Sector
Key ratios and valuation 12/14A 12/15E 12/16E 12/17E
Growth(%) Sales revenue 19.7 4.7 20.6 25.3 EBIT 14.2 7.1 17.1 19.4 Net profit 36.2 8.3 15.6 14.6 EPS (18.0) 8.3 15.6 14.6 Margins (%)
EBITDA 59.9 61.6 60.1 59.1 EBIT 47.3 48.4 46.9 44.7 Pre-tax profit 37.5 39.7 39.1 36.5 Net profit 27.5 28.4 27.2 24.9 Valuation metrics (x)
P/E 28.5 26.3 22.8 19.9 P/B 3.20 2.96 2.72 2.49 Dividend yield (%) 0.07 1.25 1.45 1.66 P/CF 21.4 12.7 11.5 9.6 EV/sales 10.3 12.7 10.7 8.4 EV/EBITDA 17.2 20.6 17.9 14.2 EV/EBIT 21.7 26.3 22.9 18.8 ROE analysis (%)
ROE 15.5 11.7 12.5 13.1 ROIC 8.07 6.12 5.48 6.31 Asset turnover (x) 0.13 0.10 0.11 0.14 Interest burden (x) 0.79 0.82 0.83 0.82 Tax burden (x) 0.88 0.87 0.87 0.87 Financial leverage (x) 2.64 2.90 2.82 2.66 Credit ratios
Net debt/equity (%) 86 152 146 127 Net debt/EBITDA (x) 4.08 8.51 7.55 5.85 Interest cover (x) 3.07 3.29 3.48 3.31
Source: Company data, Thomson Reuters, Credit Suisse estimates.
Source: IBES
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IDEAS ENGINE 63
China Power Sector
Companies Mentioned (Price as of 27-Apr-2015)
Beijing Enterprises Holdings (0392.HK, HK$71.65) Beijing Jingneng Power Co Ltd (600578.SS, Rmb8.11, OUTPERFORM, TP Rmb10.0) CGN Power Co., Ltd. (1816.HK, HK$4.55, UNDERPERFORM[V], TP HK$3.4) CLP Holdings Limited (0002.HK, HK$68.25) Cheung Kong Infrastructure (1038.HK, HK$65.1) China Datang Renewables Power (1798.HK, HK$1.31) China Gas Holdings Ltd (0384.HK, HK$14.12) China Resources Gas (1193.HK, HK$27.15) China Resources Power Holdings (0836.HK, HK$23.75, UNDERPERFORM, TP HK$16.3) China Suntien Green Energy Corporation (0956.HK, HK$2.07) China Yangtze Power Co Ltd (600900.SS, Rmb13.09, OUTPERFORM, TP Rmb14.8) Datang International Power Generation Co. Ltd. (0991.HK, HK$4.89) Datang International Power Generation Co. Ltd. (601991.SS, Rmb8.35) ENN Energy Holdings Ltd (2688.HK, HK$58.8) Hong Kong Electric Investments (2638.HK, HK$5.22) Hong Kong and China Gas (0003.HK, HK$18.68) Huadian Fuxin Energy Corporation Limited (0816.HK, HK$4.37, OUTPERFORM, TP HK$5.5) Huadian Power International (600027.SS, Rmb8.89, UNDERPERFORM, TP Rmb5.1) Huadian Power International (1071.HK, HK$8.73, UNDERPERFORM, TP HK$6.4) Huaneng Power International Inc (600011.SS, Rmb11.5, UNDERPERFORM, TP Rmb5.8) Huaneng Power International Inc (0902.HK, HK$11.36, UNDERPERFORM, TP HK$7.3) Huaneng Renewables Corporation (0958.HK, HK$3.4, OUTPERFORM, TP HK$4.0) Inner Mongolia MengDian HuaNeng Thermal (600863.SS, Rmb6.13, OUTPERFORM, TP Rmb8.0) Longyuan Power (0916.HK, HK$9.93, OUTPERFORM, TP HK$11.5) Power Assets Holdings Limited (0006.HK, HK$78.5) SDIC Power Holdings (600886.SS, Rmb12.9) Shenzhen Gas Corporation Ltd. (601139.SS, Rmb12.31) Sichuan Chuantou Energy (600674.SS, Rmb25.94)
Disclosure Appendix
Important Global Disclosures
The analysts identified in this report each certify, with respect to the companies or securities that the individual analyzes, that (1) the views expressed in this report accurately reflect his or her personal views about all of the subject companies and securities and (2) no part of his or her compensation was, is or will be directly or indirectly related to the specific recommendations or views expressed in this report.
3-Year Price and Rating History for CGN Power Co., Ltd. (1816.HK)
1816.HK Closing Price Target Price
Date (HK$) (HK$) Rating
13-Jan-15 3.31 3.20 N
* Asterisk signifies initiation or assumption of coverage.
N EU T RA L
IDEAS ENGINE 64
China Power Sector
3-Year Price and Rating History for China Resources Power Holdings (0836.HK)
0836.HK Closing Price Target Price
Date (HK$) (HK$) Rating
21-Aug-12 17.06 19.00 O
03-Oct-12 16.78 19.70
19-Mar-13 22.65 23.00
11-Apr-13 23.90 28.00
27-Nov-13 18.78 22.00 *
18-Mar-14 19.24 23.50
21-Apr-14 21.00 23.50 N
18-Aug-14 22.20 25.00
14-Oct-14 20.80 22.00
11-Mar-15 19.22 17.00 U
* Asterisk signifies initiation or assumption of coverage.
O U T PERFO RM
N EU T RA L
U N D ERPERFO RM
3-Year Price and Rating History for China Yangtze Power Co Ltd (600900.SS)
600900.SS Closing Price Target Price
Date (Rmb) (Rmb) Rating
30-Apr-12 6.48 8.30 O
01-Nov-12 6.46 8.50
02-May-13 7.13 8.60
02-Sep-13 6.71 8.30
21-May-14 5.97 7.60
22-May-14 6.04 *
26-Sep-14 7.79 9.50 O
13-Jan-15 10.55 12.20
* Asterisk signifies initiation or assumption of coverage. O U T PERFO RM
IDEAS ENGINE 65
China Power Sector
3-Year Price and Rating History for Huadian Fuxin Energy Corporation Limited (0816.HK)
0816.HK Closing Price Target Price
Date (HK$) (HK$) Rating
03-Mar-14 4.24 5.20 O *
25-Mar-14 3.80 5.30
* Asterisk signifies initiation or assumption of coverage.
O U T PERFO RM
3-Year Price and Rating History for Huadian Power International (600027.SS)
600027.SS Closing Price Target Price
Date (Rmb) (Rmb) Rating
15-Oct-14 3.97 4.92 O
13-Jan-15 6.18 5.70 U
11-Mar-15 5.80 5.10
31-Mar-15 6.80 5.20
* Asterisk signifies initiation or assumption of coverage.
O U T PERFO RM
U N D ERPERFO RM
IDEAS ENGINE 66
China Power Sector
3-Year Price and Rating History for Huadian Power International (1071.HK)
1071.HK Closing Price Target Price
Date (HK$) (HK$) Rating
15-Oct-14 5.49 6.20 O
13-Jan-15 6.45 7.10
11-Mar-15 6.39 6.40 N
31-Mar-15 6.45 6.60
* Asterisk signifies initiation or assumption of coverage.
O U T PERFO RM
N EU T RA L
3-Year Price and Rating History for Huaneng Power International Inc (600011.SS)
600011.SS Closing Price Target Price
Date (Rmb) (Rmb) Rating
14-Oct-14 6.20 5.95 N *
13-Jan-15 8.25 6.90 U
11-Mar-15 7.58 6.20
* Asterisk signifies initiation or assumption of coverage.
N EU T RA L
U N D ERPERFO RM
IDEAS ENGINE 67
China Power Sector
3-Year Price and Rating History for Huaneng Power International Inc (0902.HK)
0902.HK Closing Price Target Price
Date (HK$) (HK$) Rating
02-Aug-12 5.62 5.85 O
03-Oct-12 5.88 7.10
10-Apr-13 8.37 9.00
24-Apr-13 8.80 9.40
27-Nov-13 7.43 6.40 U *
30-Jul-14 8.73 7.40
14-Oct-14 8.90 7.50 *
13-Jan-15 10.84 8.60
11-Mar-15 8.89 7.70
* Asterisk signifies initiation or assumption of coverage.
O U T PERFO RM
U N D ERPERFO RM
3-Year Price and Rating History for Huaneng Renewables Corporation (0958.HK)
0958.HK Closing Price Target Price
Date (HK$) (HK$) Rating
03-Mar-14 3.45 4.05 O *
10-Apr-14 2.63 3.65
19-Mar-15 2.79 3.55
10-Apr-15 3.20 3.80
* Asterisk signifies initiation or assumption of coverage.
O U T PERFO RM
IDEAS ENGINE 68
China Power Sector
3-Year Price and Rating History for Longyuan Power (0916.HK)
0916.HK Closing Price Target Price
Date (HK$) (HK$) Rating
13-May-12 5.84 6.95 O
29-Aug-12 5.08 6.32
05-Nov-12 5.08 6.19
17-Dec-12 5.23 6.10
12-Mar-13 6.51 7.08 N
25-Nov-13 10.10 12.30 O *
03-Mar-14 9.61 12.60
18-Mar-14 7.93 11.90
20-Aug-14 8.57 10.50
* Asterisk signifies initiation or assumption of coverage.
O U T PERFO RM
N EU T RA L
The analyst(s) responsible for preparing this research report received Compensation that is based upon various factors including Credit Suisse's total revenues, a portion of which are generated by Credit Suisse's investment banking activities
As of December 10, 2012 Analysts’ stock rating are defined as follows:
Outperform (O) : The stock’s total return is expected to outperform the relevant benchmark*over the next 12 months.
Neutral (N) : The stock’s total return is expected to be in line with the relevant benchmark* over the next 12 months.
Underperform (U) : The stock’s total return is expected to underperform the relevant benchmark* over the next 12 months.
*Relevant benchmark by region: As of 10th December 2012, Japanese ratings are based on a stock’s total return relative to the analyst's coverage universe which consists of all companies covered by the analyst within the relevant sector, with Outperforms representing the most attractive, Neutrals the less attractive, and Underperforms the least attractive investment opportunities. As of 2nd October 2012, U.S. and Canadian as well as European ratings are based on a stock’s total return relative to the analyst's coverage universe which consists of all companies covered by the analyst within the relevant sector, with Outperforms representing the most attractive, Neutra ls the less attractive, and Underperforms the least attractive investment opportunities. For Latin American and non-Japan Asia stocks, ratings are based on a stock’s total return relative to the average total return of the relevant country or regional ben chmark; prior to 2nd October 2012 U.S. and Canadian ratings were based on (1) a stock’s absolute total return potential to its current share price and (2) the relative attractiveness of a stock’s total return potential within an analyst’s coverage universe . For Australian and New Zealand stocks, 12-month rolling yield is incorporated in the absolute total return calculation and a 15% and a 7.5% threshold replace the 10-15% level in the Outperform and Underperform stock rating definitions, respectively. The 15% and 7.5% thresholds replace the +10-15% and -10-15% levels in the Neutral stock rating definition, respectively. Prior to 10th December 2012, Japanese ratings were based on a stock’s total return relative to the average total return of the relevant country or regional benchmark.
Restricted (R) : In certain circumstances, Credit Suisse policy and/or applicable law and regulations preclude certain types of communications, including an investment recommendation, during the course of Credit Suisse's engagement in an investment banking transaction and in certain other circumstances.
Volatility Indicator [V] : A stock is defined as volatile if the stock price has moved up or down by 20% or more in a month in at least 8 of the past 24 months or the analyst expects significant volatility going forward.
Analysts’ sector weightings are distinct from analysts’ stock ratings and are based on the analyst’s expectations for the fundamentals and/or valuation of the sector* relative to the group’s historic fundamentals and/or valuation:
Overweight : The analyst’s expectation for the sector’s fundamentals and/or valuation is favorable over the next 12 months.
Market Weight : The analyst’s expectation for the sector’s fundamentals and/or valuation is neutral over the next 12 months.
Underweight : The analyst’s expectation for the sector’s fundamentals and/or valuation is cautious over the next 12 months.
*An analyst’s coverage sector consists of all companies covered by the analyst within the relevant sector. An analyst may cover multiple sectors.
IDEAS ENGINE 69
China Power Sector
Credit Suisse's distribution of stock ratings (and banking clients) is:
Global Ratings Distribution
Rating Versus universe (%) Of which banking clients (%)
Outperform/Buy* 43% (53% banking clients)
Neutral/Hold* 38% (50% banking clients)
Underperform/Sell* 16% (44% banking clients)
Restricted 3%
*For purposes of the NYSE and NASD ratings distribution disclosure requirements, our stock ratings of Outperform, Neutral, and Underperform most closely correspond to B uy, Hold, and Sell, respectively; however, the meanings are not the same, as our stock ratings are determined on a relative basis. (Please refer to definitions above.) An investor's decision to buy or sell a security should be based on investment objective s, current holdings, and other individual factors.
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Price Target: (12 months) for CGN Power Co., Ltd. (1816.HK)
Method: Our target price of HK$3.40 for CGN Power is based on discounted cash flow method with a WACC of 7% (cost of equity of 11% and cost of debt of 4.5%, debt to equity ratio of 1.5x) as well as zero
terminal growth.
Risk: Key risks to our target price of HK$3.40 for CGN Power includes: (1) drop of utilisaiton hours; (2) change of national nuclear policies; (3) nuclear accidents worldwide; (4) increase in the fuel costs and other costs
as well as (5) delay of construction schedule of nuclear
Price Target: (12 months) for China Yangtze Power Co Ltd (600900.SS)
Method: We arrive at our target price for China Yangtze Power by using DCF model, as we believe operating cash flow best captures the company's mid- to long-term growth profile. Our WACC of 8.3% with
terminal growth of 0% suggest a fair price of Rmb10.7 for the stock (without injection), and a target price of Rmb14.8 (with injection).
Risk: The following are the risks to our target price: (1) volatilities in hydro resources, (2) changes in interest rate (3) a delay in asset injection or no injection would surprise the market negatively.
Price Target: (12 months) for Huaneng Power International Inc (600011.SS)
Method: Our target price of Rmb5.8 for Huaneng Power International Inc (A) is based on a P/B (price-to-book) of 1.0x backed by a sustainable ROE (return on equity) of 10.5%..
Risk: Risks that could cause the share price to diverge from our Rmb5.8 target price for Huaneng Power International Inc include: (1) worse-than-expected thermal utilisation in coastal areas; and (2) coal price rebound.
Price Target: (12 months) for Huadian Power International (600027.SS)
Method: Our target price of Rmb5.1 for Huadian Power International (A) is based on a P/B (price-to-book) of 1.2x backed by a sustainable ROE (return on equity) of 11%.
Risk: Risks that could impede achievement target price of Rmb5.1 for Huadian Power International (A) include: (1) thermal utlisation; and (2) uncertainty on asset injections.
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Price Target: (12 months) for Huaneng Power International Inc (0902.HK)
Method: We use P/B (price-to-book) valuation to derive our target price of HK$7.30 for Huaneng Power International Inc (H). We assume a long-term ROE (return on equity) of 11.1%, which implies a FY16 P/B of
1.0x.
Risk: Risks to our HK$7.30 target price for Huaneng Power International Inc (H) include: (1) faster-than-expected capacity growth; (2) lower-than-expected coal prices; (3) better-than expected utilisation hours.
Price Target: (12 months) for China Resources Power Holdings (0836.HK)
Method: Our target price of HK$16.30 for CRP is based on the sum-of-the-parts valuation. We use 1.2x FY16 P/B (price-to-book) ratio for the power generation business and DCF (discounted cash flow)
methodology for coal mining.
Risk: Risks to our target price of HK$16.30 for CRP include: (1) Better-than-expected thermal power utilisation in coastal regions; and (2) less-than-expected tariff cuts for coal-fired power.
Price Target: (12 months) for Huadian Power International (1071.HK)
Method: Our target price of HK$6.4 for Huadian Power International (H) is derived from a price-to-book (P/B) methodology with a target P/B of 1.2x backed by a sustainable ROE (return on equity) of 12%.
Risk: Risks that could impede achievement of our target price of HK$6.4 for Huadian Power International include: (1) coal price increase in 2015; (2) worse-than-expected thermal power utlisation in 2015-16; (3)
uncertain details for asset injections.
Price Target: (12 months) for Huaneng Renewables Corporation (0958.HK)
Method: Our HK$ 4.00 target price for Huaneng Renewables is based on discounted cash flow method with a WACC of 7% and terminal growth rate of 2%. We use 12% cost of equity and 5% after tax cost of
debt. The terminal value takes up 90% in our total DCF valuation.
Risk: Key investment risks to our target price of HK$4.00 for Huaneng Renewables include: (1) slower-than-expected capacity growth; (2) volatile wind resources and utilisation hours; and (3) further impairment of
assets.
Price Target: (12 months) for Longyuan Power (0916.HK)
Method: Our HK$11.5 for Longyuan Power Group is based on DCF. Our WACC of 8% is based on a cost of equity of 12% and a post-tax cost of debt of 4%. The terminal growth we assume is 2%.
Risk: Key risks to our target price of HK$11.5 for Longyuan Power include: (1) lower-than-expected capacity growth; (2) worse-than-expected utilisation hours; and (3) potential wind power tariff cut in 2015 or later.
Price Target: (12 months) for Huadian Fuxin Energy Corporation Limited (0816.HK)
Method: Our HK$5.50 target price for Huadian Fuxin Energy Corp. is based on discounted cash flow method with a WACC of 8% and terminal growth rate of 1%. We use 12% cost of equity and 5.5% after tax
cost of debt. The terminal value takes up 80% in our total DCF valuation.
Risk: Key risks to our target price of HK$5.50 for Huadian Fuxin Energy Corp. include: (1) slower-than-expected wind power capacity growth; (2) volatile wind and hydro resources; and (3) more-than-expected cut of
coal-fired tariff.
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China Power Sector
Price Target: (12 months) for Inner Mongolia MengDian HuaNeng Thermal (600863.SS)
Method: The target price of Rmb 8.0 for Inner Mongolia MengDian HuaNeng Thermal is based on discounted cash flow method. We use 8% WACC and zero terminal growth.
Risk: Key risks to our target price of Rmb 8.0 for Inner Mongolia MengDian HuaNeng Thermal includes: (1) lower tariff and (2) lower utilisation hours.
Price Target: (12 months) for Beijing Jingneng Power Co Ltd (600578.SS)
Method: The target price of Rmb 10.0 for Beijing Jingneng Power Co Ltd is based on sum-of-the-parts method. We values existing pipeline at Rmb 8.90/share and asset injection at Rmb 1.00/share.
Risk: Key risks to our SOTP-based target price of Rmb 10.0 for Beijing Jingneng Power Co Ltd includes: (1) lower-than-expected tariff; (2) lower-than-expected utilisation hours; (3) delay of asset injections.
Please refer to the firm's disclosure website at https://rave.credit-suisse.com/disclosures for the definitions of abbreviations typically used in the target price method and risk sections.
See the Companies Mentioned section for full company names
The subject company (1816.HK, 0902.HK, 0836.HK, 1071.HK, 0958.HK, 0916.HK, 0816.HK, 600863.SS, 0002.HK, 0006.HK, 0392.HK, 0991.HK, 1038.HK, 1798.HK, 601139.SS, 601991.SS) currently is, or was during the 12-month period preceding the date of distribution of this report, a client of Credit Suisse.
Credit Suisse provided investment banking services to the subject company (1816.HK, 0958.HK, 600863.SS, 0392.HK, 601139.SS) within the past 12 months.
Credit Suisse has managed or co-managed a public offering of securities for the subject company (1816.HK, 0958.HK, 600863.SS) within the past 12 months.
Credit Suisse has received investment banking related compensation from the subject company (1816.HK, 0958.HK, 600863.SS, 0392.HK, 601139.SS) within the past 12 months
Credit Suisse expects to receive or intends to seek investment banking related compensation from the subject company (1816.HK, 600900.SS, 600027.SS, 0902.HK, 0836.HK, 1071.HK, 0958.HK, 0916.HK, 0816.HK, 600863.SS, 0002.HK, 0003.HK, 0006.HK, 0392.HK, 0991.HK, 1038.HK, 1193.HK, 1798.HK, 2688.HK, 601139.SS) within the next 3 months.
As of the end of the preceding month, Credit Suisse beneficially own 1% or more of a class of common equity securities of (0902.HK, 0916.HK, 0991.HK).
For other important disclosures concerning companies featured in this report, including price charts, please visit the website at https://rave.credit-suisse.com/disclosures or call +1 (877) 291-2683.
Important Regional Disclosures
Singapore recipients should contact Credit Suisse AG, Singapore Branch for any matters arising from this research report.
The analyst(s) involved in the preparation of this report have not visited the material operations of the subject company (1816.HK, 600900.SS, 0902.HK, 0836.HK, 1071.HK, 0958.HK, 0916.HK, 0816.HK, 600863.SS, 600578.SS, 0002.HK, 0003.HK, 0006.HK, 0384.HK, 0392.HK, 0956.HK, 0991.HK, 1038.HK, 1193.HK, 1798.HK, 2638.HK, 2688.HK, 600674.SS, 600886.SS, 601139.SS) within the past 12 months
Restrictions on certain Canadian securities are indicated by the following abbreviations: NVS--Non-Voting shares; RVS--Restricted Voting Shares; SVS--Subordinate Voting Shares.
Individuals receiving this report from a Canadian investment dealer that is not affiliated with Credit Suisse should be advised that this report may not contain regulatory disclosures the non-affiliated Canadian investment dealer would be required to make if this were its own report.
For Credit Suisse Securities (Canada), Inc.'s policies and procedures regarding the dissemination of equity research, please visit https://www.credit-suisse.com/sites/disclaimers-ib/en/canada-research-policy.html.
Credit Suisse has acted as lead manager or syndicate member in a public offering of securities for the subject company (1816.HK, 600011.SS, 0902.HK, 0958.HK, 600863.SS) within the past 3 years.
As of the date of this report, Credit Suisse acts as a market maker or liquidity provider in the equities securities that are the subject of this report.
Principal is not guaranteed in the case of equities because equity prices are variable.
Commission is the commission rate or the amount agreed with a customer when setting up an account or at any time after that.
To the extent this is a report authored in whole or in part by a non-U.S. analyst and is made available in the U.S., the following are important disclosures regarding any non-U.S. analyst contributors: The non-U.S. research analysts listed below (if any) are not registered/qualified as research analysts with FINRA. The non-U.S. research analysts listed below may not be associated persons of CSSU and therefore may not be subject to the NASD Rule 2711 and NYSE Rule 472 restrictions on communications with a subject company, public appearances and trading securities held by a research analyst account.
IDEAS ENGINE 72
China Power Sector
Credit Suisse (Hong Kong) Limited ................................................................................................................................... Dave Dai, CFA ; Ran Ma
For Credit Suisse disclosure information on other companies mentioned in this report, please visit the website at https://rave.credit-suisse.com/disclosures or call +1 (877) 291-2683.
IDEAS ENGINE 73
China Power Sector
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