Himachal pradesh

STATE PROFILES – HIMACHAL PRADESH

ECONOMIC CHALLENGE FOR CHIEF MINISTERS IN 2012

Achieving Fiscal Stability

Enhancing State Competitiveness

• Competitiveness is the only way to achieve sustainable job growth, improving incomes and stable public finances

• Creating a clear economic strategy for the state that engages all stakeholders is even more important in times of budget cutting and austerity

4 Major Pillars

12 Sub Indices

350* Indicators

HIERARCHY OF MEASUREMENT OF STATE COMPETITIVENESS INDEX

* Approximate figure

STAGES OF THE ECONOMY

Innovation Driven Economies (Per capita GDP 900 to 1300 USD)

Transition Economies (Per capita GDP 800 to 900 USD)

Investment Driven Economies (Per capita GDP 500 to 800 USD)

Evolving / Changeover Economies (Per capita GDP 400 to 500 USD)

Factor Driven Economies(Per capita GDP < 400 USD)

City States (Per capita GDP>1300 USD)

CategorizationMicroeconomic Competitiveness Ranks

City States (Per capita Incomes >1300 USD)Delhi 1Goa 2Innovation Driven Economies (Per capita Incomes 900 to1300 USD)Haryana 1Maharashtra 2Gujarat 3Kerala 4Transition Economies (Per capita Incomes 800 to 900 USD) Punjab 1Tamil Nadu 2Himachal Pradesh 3Investment Driven Economies (Per capita Incomes 500 to 800 USD)Andhra Pradesh 1Karnataka 2Uttarakhand 3West Bengal 4Chhattisgarh 5Sikkim 6Mizoram 7Meghalaya 8Arunachal Pradesh 9Tripura 10Evolving/ Changeover Economies (Per capita Incomes 400 to 500 USD) Rajasthan 1Jharkhand 2Orissa 3Jammu and Kashmir 4Factor Driven Economies(Per capita Incomes < 500 USD) Bihar 1Madhya Pradesh 2Assam 3Uttar Pradesh 4Manipur 5Nagaland 6

STATES ACCORDING TO CATEGORIZATION

Source: Institute for Competitiveness Analysis

NEAR TERM STATE PROSPERITY PERFORMANCE

0 20000 40000 60000 80000 100000 120000 1400003

4

5

6

7

8

9

4.62350853352568

7.6278484490127

6.73359595768002

8.46647739642783

7.41891476970896

6.09570455287321

5.58039543672937

6.43520792763588

7.95625280603685

6.93926849714979

5.62083153617318

6.25021075613883

5.59124474257295

6.38141428317387

4.9111415621641

4.65695007969727

3.88809123120777

6.381806139708936.48641960630365

5.24640544014614

6.20991726485538

7.88722081959546

5.65571633151618

4.58574703499539

8.29820096470497

7.28711379871985

6.76430960164225

6.28702199982809

5.71650821954235

Gross Domestic Product per Capita, 2011

Gro

ss D

omes

tic P

rodu

ct p

er C

apita

real

gro

wth

rate

, 200

8-20

11

All India Average 57.28 Index Points

All India GSDP /Capita rate (CAGR) of 6.27 %

All India Average of 47,998 Rupees/capita

Highly Productive and Prosperity Rising versus India

High but declining versus India

Low but rising versus India

Low and declining versus India

COMPETITIVENESS: UNDERLYING CONCEPTS

• Competitiveness is the productivity with which a state utilizes its human,

capital, and natural resources

• Productivity determines wages and the standard of living –

Productivity growth determines sustainable economic growth

• Productivity depends on how a state competes, not what industries it

competes in

• Innovation in products and processes is necessary to drive productivity

growth

• Only productive businesses can create wealth and jobs. States compete to

offer the most productive environment for business

• The public and private sectors play different but interrelated roles in creating

a productive economy

HIMACHAL PRADESH PERFORMANCE SNAPSHOT

Top 33.33% of the states

33.33%-66.67% of the states

66.67% to 100% of the states

Position Trend

Prosperity

Productivity

Labour Mobilization

State of Clusters

Leading ClustersMachinery Agricultural ProductsTextilesChemicals

Type of Economy Transition Economy

Labour MobilizationPopulation, 2011 Rank: 3• In Himachal Pradesh 68,56,509• % of India

0.56%

Population Growth, GAGR, 2001-2011 Rank: 3• In Himachal Pradesh 1.21%• In India

1.61%

Employment, 2010 Rank: 3• In Himachal Pradesh 5,95,581• % India

0.209%

Employment growth, annual rate, 2000-2010 Rank: 3• In Himachal Pradesh 1.47%• In India

2.05%

Unemployment, 2010 (Per hundred People) Rank: 3 • In Himachal Pradesh 4.90• In India

9.39

Change in Unemployment rate, 2000-2010 Rank: 2• In Himachal Pradesh 0 %

• In India-26.87

ClustersTotal Number of People employed in all Factory sector Rank: 3• In Himachal Pradesh 1,28,665

• In India1,15,06,838

• State Employment to total India Employment (factory sector) 1.11%

ProductivityGross State Domestic Product per labour force participant, 2011

Rank: 2• In Himachal Pradesh Rs 1,54,452• In India

Rs 1,21,265• State Difference to India

+27.36%

Growth in Gross State Domestic Product Rank: 1

per Labour force participant, 2001-11• In Himachal Pradesh 8.70%• In India

8.44%

Average Private Wage in 2008-09, Rank:1

• In Himachal Pradesh Rs 60,596• In India

Rs 64,741• State Difference to India

-6.40.%

Private Wage Growth, CAGR, 2000-2009 Rank:1

• In Himachal Pradesh 5.46%

• In India4.53%

ProsperityGross State Domestic Product per Capita, 2011 Rank: 2 • In Himachal Pradesh Rs. 58,540

• In India

Rs. 47,998• State Difference to India +21.96%.

Growth in Gross State Domestic Product per Capita, 2008-11 , (CAGR) Rank: 1

• In Himachal Pradesh 7.63%• In India 6.28%

HIMACHAL PRADESH COMPETITIVENESS – OVERALL PERFORMANCE INDICATORS

GSD

P at

cur

rent

pric

e at

fact

or c

ost i

n Ru

pees

Cro

reUNDERSTANDING STATE ECONOMIC PERFORMANCE

Dec-00 Dec-01 Dec-02 Dec-03 Dec-04 Dec-05 Dec-06 Dec-07 Dec-08 Dec-09 Dec-10 Dec-110

5000

10000

15000

20000

25000

30000

35000

40000

45000

1411

2

1566

1

1714

8

1890

5

2072

1 2306

6 2568

5 2859

1 3222

1

3692

4

4227

8

4114

3

Himachal Pradesh

Source : Institute for Competitiveness Analysis

GSD

P at

cur

rent

pric

e at

fact

or c

ost i

n Ru

pees

Cro

reCONTRIBUTION OF HIMACHAL PRADESH’S GSDP TO INDIAN GSDP



Ratio of Himachal

Pradesh's GSDP to Indian GDP in

Percentage Terms

0.83 0.87 0.89 0.91 0.88 0.87 0.86 0.82 0.80 0.81 0.85 0.82


1000000

2000000

3000000

4000000

5000000

6000000

Himachal Pradesh's GDP Indian GDP

WHAT DRIVES STATE PRODUCTIVITY

1. Overall business climate conducive to

growth

2. Stage of Economy (strong clusters)

3. Proper Policy enactment and strong

rule of law

MODEL USED FOR ANALYSIS

Climate for Innovation based

local rivalry

Clusters of Related and Supporting

Industries

Demand Conditions

• Local rules and incentives that encourage investment and productivity e.g.

- salaries,- incentives for capital investments, - intellectual property protection• Vigorous local competition i.e., - Openness to foreign and local competition; - Sophistication of company operations

Local availability of suppliers and supporting industriesPresence of clusters instead of isolated firms

Sophisticated and demanding local customers and needs e.g.,- Strict quality, safety, and environmental standards– Consumer protection laws – Government procurement ofadvanced technology – Early demand for products andServices.

Access to high quality business inputs i.e., - Natural endowments,- Human resources, - Capital availability,- Physical infrastructure,- Administrative infrastructure,- Information infrastructure, - Scientific and technological infrastructure

Factor Conditions

Source: Michael E Porter

IMPROVING PRODUCTIVITY IN BUSINESS ENVIRONMENT

Key Issues for States

• More power in terms of tax sharing with center

• Reduce costs of doing business

• Developing training programs which meet the specific needs of the state

industrial clusters

• Focus on infrastructure investments on the most leveraged areas for

productivity and economic growth

• Implementing policies to support small growth businesses

• Enhancing the state’s skill development and training institutions for the same

• Relentlessly improve of the public education system, the essential

foundation

Nation

Neighboring states

States

City Regions

Rural Regions

GEOGRAPHIC INFLUENCES ON COMPETITIVENESS

• Influence and access federal policies and programs

• Integrate policies and infrastructure with neighbors

• Assist each city area in developing its own strategy

• Connect rural regions with urban areas

CONTRIBUTION OF AGRICULTURE SECTOR TO GSDP G

SDP

at c

urre

nt p

rice

at fa

ctor

cos

t in

Rupe

es C

rore


Ratio of Agricultural

GSDP in Himachal

Pradesh to the total GSDP in

Himachal Pradesh in Percentage

terms

22.66 24.94 25.56 24.37 24.77 24.87 24.29 21.59 22.78 21.08 18.13 20.49


5000

10000

15000

20000

25000

30000

35000

40000

45000


CONTRIBUTION OF MANUFACTURING SECTOR TO GSDP G

SDP

at c

urre

nt p

rice

at fa

ctor

cos

t in

Rupe

es C

rore


Ratio of Manufacturing GSDP in Himachal



terms

11.85 12.10 11.27 11.32 11.47 11.39 11.61 11.41 10.89 9.97 10.08 10.37


5000

10000

15000

20000

25000

30000

35000

40000

45000


CONTRIBUTION OF SERVICE SECTOR TO GSDP G

SDP

at c

urre

nt p

rice

at fa

ctor

cos

t in

Rupe

es C

rore


Ratio of Services GSDP in Himachal



terms

40.28 38.98 38.55 39.05 38.89 38.38 37.64 37.32 35.91 36.32 36.33 36.19


50000

100000

150000

200000

250000

300000

350000

400000


Agri-cul-ture,

forestry and

fishing 20%

Industry43%

Services 36%

COMPOSITION OF HIMACHAL PRADESH’S ECONOMY

GSD

P in

Rs.

Cro

re

Indian contribution

Himachal Pradesh’s contribution

Agriculture, forestry and fishing Industry Services 0

500000

1000000

1500000

2000000

2500000

3000000

8431 17823 14889

924340

1492375

2549085

COMPOSITION OF HIMACHAL PRADESH’S ECONOMY


Him

acha

l Pra

desh

/N

ation

al G

SDP

shar

e (P

erce

nt) ,

2011

Change in contribution of GSDP of Himachal Pradesh to total Indian GSDP, CAGR (2000-2011)

6 8 10 12 14 16 18 20 22 240

1

2

3

4

5

6

7

46664.4793333333

6571.01

1654.876

26801.0793333334

4967.96533333333

391.707333333333

1456.56866666667

36334.5853333334

517.925333333333

13764.6166666667

5714.42066666667

3171.9006666666727345.1653333334

131.899333333333

39494.212

14335.7806666666

COMPOSITION OF HIMACHAL PRADESH’S ECONOMY IN GREATER DEPTH

STATE PRIVATE WAGE PERFORMANCE

0 2 4 6 8 10 12 140

20000

40000

60000

80000

100000

120000

140000

160000

47742.7664157396

60596.2341858291

53663.3856078301

103729.007699828

72550.5006334112

59909.5394736842

58297.8800507338

62461.5133055243

46191.779078646

19570.5024311183

26329.4422827497

18923.1485006133

68781.4482607744

43090.7565419747

76286.0451624519

139586.529985962

99358.600249465

Chhattisgarh 71478.747999288668090.4093021014

94050.7696279544

53575.9506192379

71120.4374069925

90099.8890122086

47611.9416510846 58416.3773774083

Wage Growth (CAGR), 2001 to 2008

Low and declining versus India Low but rising versus India

Average Wage : Rupees 64,741

Wage Growth rate 4.53%

Aver

age

Wag

es in

Rup

ees

,200

9

Source : Institute for Competitiveness Analysis, Data as of 2010

LABOUR PRODUCTIVITY

5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.000

50000

100000

150000

200000

250000

300000

350000

400000

125040

87249

72275

36279

104840

262352

359998

155348

200316

154452

7423763957

125112

158692

61832

177525

65467

8827296059 99924

90910

164891

80620

117218130463

91669

58151

110569102978


All India Average of of 1,21,265 Rupees/Labour force participant

All India Average of 8.44%

GSDP /Labor force participant growth rate(CAGR)

GSD

P at

Cur

rent

Pric

es p

er la

bour

forc

e pa

rtici

pant

, 201

1

High but declining versus India Highly productive and Productivity rising versus India

Low but rising versus India Low and declining versus India


LONG TERM JOB GROWTH

0 0.5 1 1.5 2 2.5 3 3.50

10000000

20000000

30000000

40000000

50000000

60000000

70000000

80000000

90000000

4985906.734781652663784.14608668

10979396.7442656 10088713.7648088

78797263.8629423

26971437.2905054

6685530.46379193940741.204717

40901595.9997301

16281265.2991471

35720008.4147666

12167578.9928477

1148263.887942281430650.18772842 423763.0379165111054166.94627444777515.597114693 544241.771664499

241076.018709201

12890897

23780813.8746064

44179023.0668054

567142.310342655

28506296.4146229

9882711.42859073

32753419.860397

23783536.8581226

12649885.2112901

27887828.0306864

Job growth rate CAGR, 2001-2010

Num

ber o

f Job

s, 2

011

Losing Jobs Gaining Jobs

All India average of 1,62,99,464 Jobs /State



-25 -20 -15 -10 -5 0 5 10 150

5

10

15

20

25

30

7.6

7.7 6.1

16.8

Chhattisgarh

28.1

10

8.7

5.9

4.9

27.4

2.9

10.7

7.9

6

7.7

11.7

7.7

7.7

0.8

9.610.5

18

6.36

7.7

8.2

4.9

11.3

Change in Employment rate 1999-2010

Unemployment rate All India Average of 9.39%


All India Average of -2.12%

Unemployment Rising

Below average Unemployment

Above Average UnemploymentUne

mpl

oym

ent r

ate

2010

LONG TERM UNEMPLOYMENT RATE


NEAR TERM UNEMPLOYMENT RATE

-30 -25 -20 -15 -10 -5 0 5 100

5

10

15

20

25

30

7.67.7

6.1

16.8

Chhattisgarh

28.1

10

8.7

5.94.9

27.4

2.9

10.7

7.9

6

7.7

11.7

7.7 7.7

0.8

9.610.5

18

6.36

7.78.2

4.9

11.3

Change in Employment rate 2008 to 2010


All

Indi

a Av

era

ge

57.2

8 In

dex

Poin

tsAll India Average of -6.55%

Une

mpl

oym

ent r

ate

2010


GROSS AREA SOWN VERSUS IRRIGATED AREA

10 100 1000 10000 10000010

100

1000

10000

100000

1134971

78706458

2492722208

44

1261

791090169752

3839

283292

96

400

272

118

2391

12224

22655

170

20416

5748

1356712893

2761

5815

Log of Irrigated Area in ‘000 hectares

Log

of a

rea

sow

n in

‘000

hec

tare

s

All India Average 67,41,000 hectares All

India

All India Average 30,03,000 hectares


HEALTHCARE

0 1000 2000 3000 4000 5000 60001

2

3

4

5

6

7

8

9

10

5.39523275790643

4.61626148459957

3.0143854190775

3.36700638440205

3.947114462083313.83804321190171

9.24765992082578

4.62465962833802

3.104949729460113.08113591911593

4.06134790129675

4.43722220432342

4.062943874031093.877781529478913.80545533731578

4.66096487994294

3.86947054193034

2.06737855360012

3.532270741923613.35841817579464

3.7101605403407

3.22632918415725

5.62155199722664

3.25526727985773

3.574221077088053.40822309789499

3.45403006377407

4.48222078567123

4.10557374730155

Perc

enta

ge o

f Tot

al g

over

nmen

t Exp

endi

ture

on

Med

ical

, Hea

lth

and

Sani

tatio

n

Total Government Expenditure on Medical, Health and Sanitation in Crores

All India Average 4.02%

All India

All India Average 1633 Crores


PERCENTAGE OF VILLAGES ELECTRIFIED

Andhra Prad

esh

Arunach

al Prad

eshAssa

mBihar

Chhattisga

rhDelhi

Goa

Gujarat

Haryan

a

Himach

al Prad

esh

Jammu &

Kashmir

Jharkhan

d

Karnata

kaKeral

a

Madhya

Pradesh

Mahara

shtra

Manipur

Meghala

ya

Mizoram

Nagala

ndOris

sa

Punjab

Rajasth

anSik

kim

Tamil N

adu

Tripura

Uttar Prad

esh

Uttarakh

and

West

Bengal

0

20

40

60

80

100

120

100.0

56.8

80.8

61.3

96.9100.0100.099.7100.098.2 98.2

31.1

99.9100.096.4

88.385.8

59.3

80.6

64.4 62.6

100.0

69.2

94.4

100.0

57.2

88.3

96.9 97.3All India Average of 84.96 %


TELEDENSITY

50 70 90 110 130 150 170 190 210 230 2500

20000

40000

60000

80000

100000

120000

140000

49149.0181818182

39272.272727272742743.9454545455

101333.490909091

129488.116666667

64639.0121212121

82016.5818181818

58540.4181818182

32532.1833333333

26904.193939394

50993.2909090909

59056.0727272727

25109.1636363636

71389.2545454544

25591.4969696969

39608.769696969637525.0666666666

27510.1428571428

36800.0363636364

63847.7272727272

32881.1454545455

47268.3090909091

54663.793939394

37502.0777777777

23472.1818181818

45407.241863.1333333333

f(x) = 429.333880574923 x + 12630.3922244405R² = 0.388153614577269

Teledensity

GSD

P pe

r Cap

ita

Source: Ministry of telecom, Institute for Competitiveness Analysis

DEBT TO GDP RATIO

AndhraArunachal

AssamBihar

ChattisgarhDelhiGoa

GujaratHaryana

HimachalJammu & Kashmir

JharkhandKarnataka

KeralaMadhya Pradesh

MaharashtraManipur

MeghalyaMizoramNagaland

OrissaPunjab

RajasthanSikkim

Tamil NaduTripura

Uttar PradeshUttaranchal

West Bengal

0 20 40 60 80 100 120

30.1115.9

2839.7

15.213.8

35.532.1

1955.7

70.133.6

24.334.334.4

25.177.4

37.3109.1

59.430.6

35.241.1

80.625.5

42.243.5

41.142.8

Prescribed limit according to WTO for developing

economies

Prescribed limit according to the growth and stability Pact of EU


RURAL POPULATION VERSUS RURAL POPULATION GROWTH RATES

10,000 100,000 1,000,000 10,000,000 100,000,000 1,000,000,000

-10.000

-8.000

-6.000

-4.000

-2.000

0.000

2.000

4.000

0.163

2.082

1.438

2.166

1.648

-7.802

-2.032

0.8870.9571.185

1.820 1.797

0.738

-2.960

1.702

0.989

1.790

2.422

1.686

-1.565

1.1140.733

1.759

-0.533

0.631

0.211

1.653

1.0800.747

Population in Rural areas as per census (provisional Data) in Thousands

Gro

wth

rate

(CAG

R 20

01-2

011)

Source: Census 2011, Institute for Competitiveness Analysis

URBAN POPULATION VERSUS URBAN POPULATION GROWTH RATES

0 10000000 20000000 30000000 40000000 50000000 600000000

2

4

6

8

10

12

3.142118432873313.23939754403892

2.46791404612314

3.05459855270376

3.55618143616157

2.38364949053398

3.05825008262657 3.10965193307033

3.73202880111196

1.46334528648549

3.096904349027562.83800521407566 2.75824734654202

6.7807817768657

2.308011315209172.14678067444074

3.622560570152

2.739659477638322.45364273623232

5.28564311786535

2.403211749494142.315075964321412.59970144367721

9.74508394624667

2.43217405590814

5.82105955338828

2.55939483122321

3.55833923865534

2.6508374196224

Population in Urban areas as per census (provisional Data) in Thousands

Gro

wth

rate

(CAG

R 20

01-2

011)


RURAL AND URBAN POPULATION IN INDIA

0

20,000,000

40,000,000

60,000,000

80,000,000

100,000,000

120,000,000

140,000,000

160,000,000

151,

726

561,

977

313,

446

906,

309

573,

741

822,

132

595,

036

960,

981

688,

704

3,09

1,16

9

3,41

4,10

6

16,3

33,9

16

8,82

1,58

8

5,93

6,53

8

10,3

87,4

36

4,38

8,75

6

7,92

9,29

2

15,9

32,1

71

6,99

6,12

4 25,7

12,8

11

23,5

78,1

75

17,0

80,7

76 34,9

49,7

29

20,0

59,6

66

28,3

53,7

45

29,1

34,0

60

11,7

29,6

09

50,8

27,5

31

44,4

70,4

55

4559

62

5290

37

1069

165

5514

14

1406

861

1899

624

2368

971

2710

051

6167

805

7025

583

9134

820

4193

19

1653

1493

1960

3658

1731

6800

2678

0516

2503

6946

1745

5506

3495

1234

3467

0817

3755

2529 51

5402

36

3718

9229 52

5378

99

5631

1788

6221

3676

9207

5028

6154

5441

1551

1102

2

Urban Population in 2011 Rural Population in 2011


DEMOGRAPHIC PROFILE IN HIMACHAL PRADESHPo

pula

tion

in N

umbe

rs


0-4 years

5-9 years

10-14 years

15-19 years

20-24 years

25-29 years

30-34 years

35-39 years

40-44 years

45-49 years

50-54 years

55-59 year

60-64 years

65-69 years

70-74 years

75-79 years

80+ years

0

100000

200000

300000

400000

500000

600000

700000

5410

00

5560

00 5900

00 6230

00 6580

00

6270

00

5690

00

5040

00

4390

00

3860

00

3290

00

2730

00

2160

00

1650

00

1270

00

9300

0

9700

0

RURAL URBAN AND TOTAL POPULATION

0 10 20 30 40 50 60 70 80 90 1000

20

40

60

80

100

120

84665533

1382611

31169272103804637

25540196

16753235

1457723

60383628

25353081

6856509

1254892632966238

61130704

33387677

72597565

112372972

2721756

2964007

1091014

1980602

41947358

27704236

68621012

607688

72138958

3671032

19958147710116752

91347736

Urb

an P

opul

ation

as

a pe

rcen

tage

of t

otal

Pop

ulati

on

All India Average 32.98%

All

Indi

aAll India Average 67.02%


Rural Population as a percentage of total Population

SEX RATIO VERSUS SEX RATIO GROWTH RATES

850 900 950 1000 1050 1100

-0.4

-0.2

0

0.2

0.4

0.6

0.8

0.151751209857398

0.369937327967928

0.227720116953845

-0.0609909746569603

0.0112887884475166

0.704240098361186

0.350762393684056

0.000527832943442163

0.25740751646115

0.0953377337117089

-0.163038701598239

0.0783445270180261

0.0234098572919006

0.309615234089144

0.150903285133075

0.0488174712958145

0.108736646913643

0.173661337104769

0.51479874087399

0.404576108127941

0.0656294601348195

0.275965266691847

0.0821715251974941

0.168122175299312

0.0861539155463831

0.155850684737491

0.14125756041925

0.00961102188654639

0.157160523740374

All India Average 0.169% CAGR

All

Indi

aAll India Average 940 females/1000 males

CAG

R gr

owth

rate

200

1-11

Sex ratio


LITERACY RATES VERSUS GDP

60 65 70 75 80 85 90 95 1000

20000

40000

60000

80000

100000

120000

140000

49149.0181818182

39272.2727272727

29340.2363636364

15494.5090909091

42743.9454545455

101333.490909091

129488.116666667

64639.0121212121

82016.5818181818

58540.4181818182

32532.1833333333

26904.193939394

50993.2909090909

59056.0727272727

25109.1636363636

71389.2545454544

25591.4969696969

39608.769696969637525.0666666666

27510.1428571428

36800.0363636364

63847.7272727272

32881.1454545455

47268.3090909091

54663.793939394

37502.0777777777

23472.1818181818

45407.241863.1333333333

f(x) = 1576.435444664 x − 73239.0978387493R² = 0.254023415924728

GSD

P p

er c

apita

at c

urre

nt p

rices

201

1

Literacy rate 2011

Source: RBI , Census 2011, Institute for Competitiveness Analysis

REVENUE EXPENDITURE VERSUS REVENUE RECEIPTSRe

venu

e Ex

pend

iture

in R

s. C

rore

s

Revenue Receipts in Rs. Crores

0 20000 40000 60000 80000 100000 1200000

20000

40000

60000

80000

100000

120000

17455.54

12511.18

35107.1332055.12

111660.97

46877.92

15417.4512772.02

43942.72

32862.41

67282.09

33079.9

4060.334722.422913.984301.974381.47

3341.723053.07

20242.58

58014.83

112846.88

5044.78

47788.47

21378

86891.72

56189.23

36219.25

75542.61

All India

All India Average 34757 Rs. Crores

All India Average 34190 Rs. Crores

Source: RBI , Institute for Competitiveness Analysis

LITERACY RATES VERSUS POPULATION

60 65 70 75 80 85 90 95 1000

50000000

100000000

150000000

200000000

250000000

84665533

1382611

31169272

103804637

Chhattisgarh

1457723

60383628

25353081

685650912548926

32966238

61130704

33387677

72597565

112372972

27217562964007 10910141980602

16753235

41947358

27704236

68621012

607688

72138958

3671032

199581477

10116752

91347736

Literacy rates in Percentage terms

All India Average 67232968 People/state

All India

All India Average Literacy level of

77.12%

Source: Census 2011 , Institute for Competitiveness Analysis

0 5000 10000 15000 20000 25000 30000 35000 40000 45000

-5

0

5

10

15

20

4.52210830159938

5.80585290085816

16.0731817030601

15.2468269375791

12.2857461375391

8.1087926950217

5.19845025319177

5.11547071253451

9.4976925508756

12.944673798886

9.62666799098342

11.0563452577862

12.7633893046095

5.85141280767283

4.71691928703295

2.971883657804232.36589990047718

12.9251199523838

7.63356870969947

-3.0755560476653

17.1128014242258

11.9169125448308

5.36864761269329

11.517502640002

16.3730449903232

14.3436875292484

8.5012624949083

9.93117124701506

13.2815764079908

Outstanding commercial scheduled bank credit to Agriculture in Rs. Crores

All India Average of 9.30 % CAGR growth rate

All India

All India Average of 12,157 Crores/state

CAG

R gr

owth

rate

in A

gric

ultu

re 2

005-

10GROWTH RATE IN AGRICULTURE VERSUS BANK CREDIT TO AGRICULTURE

Source: MOA , Institute for Competitiveness Analysis

PERCENTAGE OF FACTORIES IN OPERATION VERSUS TOTAL NUMBER OF FACTORIES

0 5000 10000 15000 20000 250000

2

4

6

8

10

12

14

16

3.08285163776493

4.33168316831683

2.340374459913592.16078066914498

3.589450633152433.41382181515404

7.51811594202892

3.55555555555556

14.919113241462

7.14285714285714

2.94553233503373

6.81330472103004

1.51515151515152

13.680781758957713.5593220338983

14.6788990825688

13.7106918238994

2.76058342226966

3.938859494415

0.920810313075506

3.28702134869536

6.15696887686062

8.3470550981634

4.54371410338226

8.7010455431508

6.98330590171644

Total number of factories

Perc

enta

ge o

f fac

tori

es n

ot in

ope

ratio

n

All India Average of 4.1% factories not in operation/state average

All India

All India Average of 6198 Factories/state

Source: ASI , Institute for Competitiveness Analysis, Data as of 2010

SLUM POPULATION GROWTH RATE (2001-2011)

0.00 10.00 20.00 30.00 40.00 50.00 60.00 70.00 80.00

-5

0

5

10

15

20

25

30

11.1

25.9

16.9

25.1

Chhattisgarh

20.96

8.2

19.219.9

12.8

23.7

22.3

15.7

4.9

20.3

16

18.7

27.8

22.8

-0.5

14 13.7

21.4

12.4

15.614.7

20.119.2

13.9

Percentage Change in the Slum Population

Popu

latio

n D

ecad

al G

row

th R

ate

India’s decadal population growth rate is 17%.

Average change in slum population is 26%.

Source: MOUA, Data as of 2010

50 100 150 200 250 300 350 400 450 500 5500

50

100

150

200

250

300

350

400

450

500

Andhra Pradesh

224

353

Chhattisgarh

464

99

271

353

230

167

214

95

384

336

113

128141

271

366

447

176

453

269

281

SPM Level (Industrial Area)

SPM

Lev

el (R

esid

entia

l)

SPM Level above 140 is considered dangerous for residential areas

SPM Level above 400 is considered dangerous for industrial areas

SPM is Suspended Particulate matter. The above mentioned limits are are prescribed by Central Pollution Control Board (CPCB), India.

POLLUTION

Source: CPCB , Institute for Competitiveness Analysis

AIR POLLUTION

50 100 150 200 250 300 350 400 450 500 5500

50

100

150

200

250

300

350

400

450

500

284

224

353

Chhattisgarh

464

99

271

353

230

167

214

95

384

336

113

128

141

271

366

447

176

453

269

281

SPM Level (Industrial Area)

SPM

Lev

el (R

esid

entia

l)

SPM Level above 140 is considered dangerous for residential areas

SPM Level above 400 is considered dangerous for industrial areas

SPM is Suspended Particulate matter. The above mentioned limits are are prescribed by Central Pollution Control Board (CPCB), India.

CAPITAL OUTLAY BY MAJOR SECTORS

Social service32%

Economic service63%

General economic services5%

Himachal Pradesh

Kullu

Textiles

Multi IndustryLight Engineering

Pharmaceuticals/ Chemicals

Electronics

Multi Industry

INDUSTRIES IN HIMACHAL PRADESH

POPULATION PERCENTAGES IN DISTRICTS OH HIMACHAL PRADESH

Kullu

7.6

22.0

0.5

6.4

14.66.6

7.6

5.6

8.4

7.7

11.9

1.2

FACTOR CONDITIONSG

SDP

in R

s. C

rore

Factor Conditions Score

50 52 54 56 58 60 62 64 66 680

20000

40000

60000

80000

100000

120000

140000

49149.0181818182

39272.2727272727

29340.2363636364

15494.5090909091

42743.9454545455

101333.490909091

129488.116666667

64639.0121212121

82016.5818181818

58540.4181818182

32532.1833333333

26904.193939394

50993.2909090909

59056.0727272727

25109.1636363636

71389.2545454544

25591.4969696969

39608.769696969637525.0666666666

27510.1428571428

36800.0363636364

63847.7272727272

32881.1454545455

47268.3090909091

54663.793939394

37502.0777777777

23472.1818181818

45407.241863.1333333333

f(x) = 2567.63207606884 x − 97812.3035810147R² = 0.143109837714404

Source: MOSPI, Institute for Competitiveness Analysis

SUB PILLARS OF FACTOR CONDITIONS - FINANCIAL CONDITIONSG

SDP

in R

s. C

rore

Financial Conditions Score

50 55 60 65 70 750

20000

40000

60000

80000

100000

120000

140000

49149.0181818182

39272.2727272727

29340.2363636364

15494.5090909091

42743.9454545455

101333.490909091

129488.116666667

64639.0121212121

82016.5818181818

58540.4181818182

32532.1833333333

26904.193939394

50993.2909090909

59056.0727272727

25109.1636363636

71389.2545454544

25591.4969696969

39608.769696969637525.0666666666

27510.1428571428

36800.0363636364

63847.7272727272

32881.1454545455

47268.3090909091

54663.793939394

37502.0777777777

23472.1818181818

45407.241863.1333333333

f(x) = 5200.23545909806 x − 249158.282919252R² = 0.750759569558874

Source: MOSPI, Institute for Competitiveness Analysis

SUB PILLARS OF FACTOR CONDITIONS - PHYSICAL CONDITIONS R

oad

len

gth

per

on

e lakh

of

Pop

ula

tion

Physical Conditions Score

45 50 55 60 65 70 75 800

500

1000

1500

2000

2500

264.86

1376.79

782.52

128.3

319.88

1993.19

662.22

258.94

122.98

550.39

198.3

58.09

443.88

605.75

241.12 206.83

698.05

388.89

634.849999999998

1027.36

543.2

169.07

265.72316.92

274.12

908.99

149.63

431.51

243.43

f(x) = 35.8139286923005 x − 1554.58676271273R² = 0.254612150402454

Source: MORTH, Institute for Competitiveness Analysis

SUB PILLARS OF FACTOR CONDITIONS - COMMUNICATION CONDITIONSTe

led

en

sit

y

Communication Conditions Score

45 55 65 75 85 95 1050

50

100

150

200

250

80.64

64.74

45.4648.25

78.1

236.33

78.190.04

87.82

119.59

54.17

78.1

96.81

107.77

53.52

96.5

64.7464.74 64.7464.74

65.45

113.25

71.8

64.74

116.57

64.7460.16

78.179.25

f(x) = 0.878164887828627 x + 32.1970803014184R² = 0.115702963280919

Source: Ministry of Telecom , Institute for Competitiveness Analysis

SUB PILLARS OF FACTOR CONDITIONS – ADMINSTRATIONTo

tal N

um

ber

of

Govern

men

t H

osp

itals

Administration Conditions Score

35 40 45 50 55 60 65 700

200

400

600

800

1000

1200

1400

1600

1800

2000

359

161153

1717

218

130

20

373

15414292

500

919

386 377

765

283820

48

1709

231

475

30

581

31

925

695

294

f(x) = 28.919094403807 x − 1185.0785051709R² = 0.14847769028748

Source: CBHI, Institute for Competitiveness Analysis

SUB PILLARS OF FACTOR CONDITIONS - HUMAN CONDITIONSPo

pula

tion

in th

e ag

e gr

oup

15-6

4 ye

ars

Human Conditions Score

40 45 50 55 60 65 70 75 80 85 900

20000000

40000000

60000000

80000000

100000000

120000000

140000000

58419000

282206.656515119

20117000

59919000

1540700013181000

694191.534626689

39772000

16834000

46240007798000

20259000

40707000

23799000

45073000

75688000

436451.961424117 377658.907983468373508.810093539270448.045826987

27446000

18878000

42260000

58793.0534406497

47139000

480719.672250018

120865000

6357000

61904000

f(x) = 1946159.5356292 x − 84677392.9202146R² = 0.429836804276511

Source: Report on Population , Institute for Competitiveness Analysis

SUB PILLAR OF FACTOR CONDITIONS- INNOVATION RATING

45 50 55 60 65 70 75 80 85 90 9560

65

70

75

80

85

90

95

100

67.6666.95

73.18

63.83

71.04

86.3487.4

73.91

76.64

83.78

68.7467.63

75.6

93.91

70.63

82.11

79.85

75.48

91.58

80.11

73.45

76.68

67.06

82.2

80.33

87.75

69.72

79.63

77.08

f(x) = 0.0172934805648993 x + 75.9176631795427R² = 0.000463719098389381

Lit

era

cy r

ate

Innovation ScoreSource: Census 2011, Institute for Competitiveness Analysis

DEMAND CONDITIONS

30 35 40 45 50 55 60 65 700

20000

40000

60000

80000

100000

120000

140000

49149.0181818182

39272.2727272727

29340.2363636364

15494.5090909091

42743.9454545455

101333.490909091

129488.116666667

64639.0121212121

82016.5818181818

58540.4181818182

32532.1833333333

26904.193939394

50993.2909090909

59056.0727272727

25109.1636363636

71389.2545454544

25591.4969696969

39608.769696969637525.0666666666

27510.1428571428

36800.0363636364

63847.7272727272

32881.1454545455

47268.3090909091

54663.793939394

37502.0777777777

23472.1818181818

45407.241863.1333333333

f(x) = 1048.47076296082 x − 4544.32810032129R² = 0.211509855514708

Lit

era

cy r

ate

Demand ConditionsSource: Census 2011, Institute for Competitiveness Analysis

SUB PILLAR OF DEMAND CONDITIONS- DEMOGRAPHY

30 35 40 45 50 55 60 65 700

20000

40000

60000

80000

100000

120000

140000

49149.0181818182

39272.2727272727

29340.2363636364

15494.5090909091

42743.9454545455

101333.490909091

129488.116666667

64639.0121212121

82016.5818181818

58540.4181818182

32532.1833333333

26904.193939394

50993.2909090909

59056.0727272727

25109.1636363636

71389.2545454544

25591.4969696969

39608.769696969637525.0666666666

27510.1428571428

36800.0363636364

63847.7272727272

32881.1454545455

47268.3090909091

54663.793939394

37502.0777777777

23472.1818181818

45407.241863.1333333333

f(x) = 1048.47076296082 x − 4544.32810032129R² = 0.211509855514708

Per

cap

ita G

SD

P a

t sta

te level

DemographySource: MOSPI, Institute for Competitiveness Analysis

SUB PILLAR OF DEMAND CONDITIONS- INCOME AND CONSUMPTION

Income Distribution

Tota

l num

ber o

f hou

seho

lds

20 30 40 50 60 70 800

5,000,000

10,000,000

15,000,000

20,000,000

25,000,000

30,000,000

35,000,000

21,024,534

261,614

6,367,295

18,940,629

5,622,850

3,340,538

322,813

12,181,718

4,717,954

1,476,5812,015,088

6,181,607

13,179,911

7,716,370

14,967,597

23,830,580

507,152 538,299221,077399,965

9,661,085

5,409,699

12,581,303

128,131

18,493,003

842,781

32,924,266

1,997,068

20,067,299

f(x) = 262293.333660285 x − 4803010.30062424R² = 0.143386779228611


SUPPORTING CONDITIONS

50 55 60 65 70 75 800

20000

40000

60000

80000

100000

120000

140000

49149.0181818182

39272.2727272727

29340.2363636364

15494.5090909091

42743.9454545455

101333.490909091

129488.116666667

64639.0121212121

82016.5818181818

58540.4181818182

32532.1833333333

26904.193939394

50993.2909090909

59056.0727272727

25109.1636363636

71389.2545454544

25591.4969696969

39608.769696969637525.0666666666

27510.1428571428

36800.0363636364

63847.7272727272

32881.1454545455

47268.3090909091

54663.793939394

37502.0777777777

23472.1818181818

45407.241863.1333333333

f(x) = 2607.74422982713 x − 109845.110601021R² = 0.654123018898392

GSD

P/ C

apita

Supporting ConditionsSource: MOSPI, Institute for Competitiveness Analysis

SUB PILLAR OF SUPPORTING CONDITIONS- DIVERSITY OF FIRMS

45 50 55 60 65 70 75 800

5000

10000

15000

20000

25000

15790

0

1864 16691478

3312

543

14055

4304

808519

1590

7835

5643

2951

18711

59

66 0109

1862

8332

6005

0

21265

307

10503

900

6077

f(x) = 402.492090453651 x − 18290.6859569574R² = 0.299507985254444

Tota

l num

ber o

f fac

torie

s

Diversity of Firms Index

Source: ASI, Institute for Competitiveness Analysis

SUB PILLAR OF SUPPORTING CONDITIONS - BUSINESS INCENTIVES

55 60 65 70 75 80 85 90 95 1000

200000

400000

600000

800000

1000000

1200000

303338.020666667

1760.2033333333321890.003333333333954.098666666629324.322

449299.126666667

8612.70533333334

188908.448666667

89240.562

14496.47217770.9973333333

26108.1006666667

273055.568

107712.1881534.9913333334

1026256.104

1422.33

1812.268

1900.471308.97266666667

51086.372

109250.996666667112660.936

1820.66

363624.733333334

2636.904

163386.97

17512.33

194420.961333334f(x) = 5370.04633420332 x − 224861.987656487R² = 0.0461479296652255

Out

stan

ding

Sch

edul

ed c

omm

erci

al b

ank

cred

it

Business IncentivesSource : RBI, Institute for Competitiveness Analysis

STRATEGIC CONTEXTG

SDP

per c

apita

Strategic context

45 50 55 60 65 70 750

20000

40000

60000

80000

100000

120000

140000

49149.0181818182

39272.2727272727

29340.2363636364

15494.5090909091

42743.9454545455

101333.490909091

129488.116666667

64639.0121212121

82016.5818181818

58540.4181818182

32532.1833333333

26904.193939394

50993.2909090909

59056.0727272727

25109.1636363636

71389.2545454544

25591.4969696969

39608.769696969637525.0666666666

27510.1428571428

36800.0363636364

63847.7272727272

32881.1454545455

47268.3090909091

54663.793939394

37502.0777777777

23472.1818181818

45407.241863.1333333333


SUB PILLARS OF STRATEGIC CONTEXT – SUPPLIER SOPHISTICATION

45 50 55 60 65 70 75 800

200000

400000

600000

800000

1000000

1200000

1400000

1600000

972634

342836

128662

67447112254 127999

39046

887511

396155

5683840609

148300

641864

336997

217758

1245096

1970 4332

342836

2862

144554

439246

290941342836

1355789

19221

648449

71097

516107

f(x) = 20093.1746578652 x − 805345.331779489R² = 0.206490317670218

Tota

l Num

ber o

f Fac

tory

Wor

kers

Supplier sophisticationSource: ASI, Institute for Competitiveness Analysis

SUB PILLAR OF STRATEGIC CONTEXT- INSTITUTIONAL SUPPORT

Institutional Support Index

Educ

ation

al In

stitu

tions

– U

nive

rsiti

es p

er c

rore

of p

opul

ation

40 45 50 55 60 65 70 75 80 850

10

20

30

40

50

60

3.89768998442376

14.465384696057

1.924972774468391.637691772863673.52385706045482

9.550394296982056.86001387094802

3.974587283824684.73315255057167

7.292340752414976.37504755387035

2.12338453662805

5.23468533913824

2.99511703075359

2.34167633583854

3.64856417609031

7.34819726676454

3.37381119545264

9.16578522365432

5.048969959638533.09912247631901 3.97051194625977

4.08038284250311

49.3674385539948

6.93106767635873

5.44805929231889

1.90398430611875

13.8384335209561

2.18943576226126

f(x) = 0.980609302873956 x − 49.2643428230166R² = 0.650879870522762

Source: UGC, Institute for Competitiveness Analysis

PROSPERITY AND COMPETITIVENESS


45 50 55 60 65 700

10000

20000

30000

40000

50000

60000

70000

80000

90000

34225

27114

19409

12464

Chhattisgarh

80932

87590

46116

51766

42728

23234 19807

34953

45694

18468

46285

19289

2795825902

18527

23846

40218

24212

32804

39256

26676

15693

3184230124

f(x) = 2486.3946169893 x − 105523.182010099R² = 0.517206221772705

Microeconomic Competitiveness Scores

Per c

apit

a St

ate

Dom

estic

pro

duct

at c

onst

ant p

rice

201

1

POLICE OFFICIALS VERSUS COMPETITIVENESS


45 47 49 51 53 55 57 59 61 63 650

20000

40000

60000

80000

100000

120000

140000

160000

180000

93000

3423

27900

46973

Chhattisgarh

4063

48185

35778

9781

63151

30188

65627

36898

55503

166611

8541588535685637

29085

49031

59680

1985

75244

9648

114433

11453

61716

f(x) = 2830.02498779477 x − 116354.765220695R² = 0.122679000568475


Num

ber o

f Pol

ice

Offi

cial

s

PORT INFRASTRUCTURE VERSUS COMPETITIVENESS


50 55 60 65 70 75 800

10

20

30

40

50

60

12

5

40

13

53

2

15

1

f(x) = 0.225649924684749 x + 2.81446719331649R² = 0.00587108617684906

Microeconomic Competitiveness Score

Num

ber o

f Por

ts

NATIONAL HIGHWAY INFRASTRUCTURE VERSUS COMPETITIVENESS


45 50 55 60 65 700

1000

2000

3000

4000

5000

6000

7000

4472

392

2836

3642

Chhattisgarh

72269

3245

1512

12081245

1805

3843

1457

4670

4176

959810927

494

3704

1557

5585

62

4462

400

5874

1991

2524f(x) = 65.1332906126909 x − 1354.5765342575R² = 0.0355762663002036


Leng

th o

f Tot

al N

ation

al H

ighw

ays,

In K

m

AIRPORT INFRASTRUCTURE VERSUS COMPETITIVENESS


45 50 55 60 650

1

2

3

4

5

6

7

8

9

4

0

3

1Chhattisgarh 11

7

1

3

2

1

4

3

4 4

1

1

2

1 1

3

2

0

3

1

2

2

8

f(x) = 0.116841012848905 x − 4.22553033930473R² = 0.0985391538365862

Num

bers

of D

omes

tic A

irpo

rts


TELEDENSITY VERSUS COMPETITIVENESS


45 50 55 60 65 700

50

100

150

200

70.27

42.5

31.2

50.07

Chhattisgarh

208.9

52.74

76.12 77.5

104.86

8.41 6

24.2

33.2

57.763.8

42.5 42.5 42.5

42.5

22.1

97.9

62.3

17.4 15.7

42.5

49.9

15.5

21.8

f(x) = 4.65025121467647 x − 210.867686013178R² = 0.340309430613794


Tele

dens

ity

, Pho

nes

per 1

00 p

eopl

e in

the

popu

latio

n

LITERACY RATES VERSUS COMPETITIVENESS


45 50 55 60 6560

65

70

75

80

85

90

95

100

67.6666.95

73.18

63.83

71.04

86.3487.4

73.91

76.64

83.78

68.7467.63

75.6

93.91

70.63

82.11

79.85

75.48

91.58

80.11

73.45

76.68

67.06

82.2

80.33

87.75

69.72

79.63

77.08f(x) = 0.23745019107205 x + 63.6233273719388R² = 0.0230890244406737


Lite

racy

Rat

es

EDUCATION VERSUS COMPETITIVENESS


45 50 55 60 650

2000000

4000000

6000000

8000000

10000000

12000000

14000000

16000000

18000000

20000000

9199595

59342400677

2348067

Chhattisgarh 829978

71225

2108448

1384204

398933363433817755

2822455

1370273

3940985

5017347

105168 92304486246631

895963

750877

3055642

18828

3815998

175382

18670953

538493

3359084

f(x) = 89218.1269101837 x − 2805505.52227174R² = 0.0142323688170369


Stud

ents

enr

olle

d in

hig

her s

econ

dary

cla

sses

RURAL TO URBAN LITERACY RATIO VERSUS COMPETITIVENESS


45 50 55 60 65 7070.00

75.00

80.00

85.00

90.00

95.00

100.00

75.91

72.83

79.2578.51Chhattisgarh

95.65

94.35

83.35

86.77

90.72

83.09

74.91

79.87

97.82

77.64

85.81

89.73

77.90

85.94

84.09

81.87

86.56

77.22

89.42

84.59

91.42

87.72

90.50

85.31f(x) = 0.305008316073137 x + 67.3356524031035R² = 0.0563311710014936


Ratio

of U

rban

to ru

ral l

iter

acy

rate

s in

per

cent

age

term

s

GENDER DISPARITY (LITERACY) VERSUS COMPETITIVENESS


45 50 55 60 65 7060.00

65.00

70.00

75.00

80.00

85.00

90.00

95.00

100.00

79.06

80.84

85.36

72.67

Chhattisgarh

88.9088.18

81.08

78.20

84.33

74.12

71.65

82.23

95.79

74.53

84.0384.60

95.6195.39

92.08

78.11

87.56

65.41

87.56

85.08

90.20

74.79

80.04

77.85

f(x) = 0.00768116890507486 x + 81.9721733727756R² = 2.51588168747041E-05


Ratio

of F

emal

e Li

tera

cy R

ate

to m

ale

Lite

racy

rate

s

_x0003_0-4

_x0003_5-9

_x0005_10-14

_x0005_15-19

_x0005_20-24

_x0005_25-29

_x0005_30-34

_x0005_35-39

_x0005_40-44

_x0005_45-49

_x0005_50-54

_x0005_55-59

_x0005_60-64

_x0005_65-69

_x0005_70-74

_x0005_75-79

_x0003_80+

80000 60000 40000 20000 0 20000 40000 60000 80000

60746

60092

61318

63479

62281

54078

46050

40596

36773

33218

28157

22391

16693

11991

8910

6075

4469

54133

53394

57259

58248

55757

47877

42855

40164

36691

31993

26038

20447

15712

12406

10034

7017

5163

Age Pyramid for India in 2011

MalesFemale

Population of males / females in Thousands in 2011

DEMOGRAPHICS OF INDIA 2011

Source: Census of India, Institute for Competitiveness Analysis

_x0003_0-4

_x0003_5-9

_x0005_10-14

_x0005_15-19

_x0005_20-24

_x0005_25-29

_x0005_30-34

_x0005_35-39

_x0005_40-44

_x0005_45-49

_x0005_50-54

_x0005_55-59

_x0005_60-64

_x0005_65-69

_x0005_70-74

_x0005_75-79

_x0003_80+

80000 60000 40000 20000 0 20000 40000 60000 80000

55328

58396

59500

59529

59176

60113

61859

60313

51965

43702

37704

32968

28268

22185

15820

9937

8412

49256

51790

52734

52739

52410

55998

56739

54219

46466

41361

38267

34124

28651

21982

15819

10644

11465

Age Pyramid for India in 2026

Male Female

Projected Population of males / females in Thousands

DEMOGRAPHICS OF INDIA 2026


Andhra Pradesh

Assam

Bihar

Chattisgarh

Delhi

Gujarat

Haryana

Himachal Pradesh

Jammu & Kashmir

Jharkhand

Karnataka

Kerala

Madhya Pradesh

Maharashtra

NE States Excluding Assam

Orissa

Punjab

Rajasthan

Tamil Nadu

Uttar Pradesh

Uttarakhand

West Bengal

80.0 60.0 40.0 20.0 0.0 20.0 40.0 60.0 80.0

45.05

51.97

49.71

57.45

39.96

48.40

51.12

46.91

50.27

55.35

45.97

45.23

60.18

48.85

44.57

48.47

46.62

60.51

43.07

66.11

56.39

44.58

42.49

45.14

47.67

48.40

34.81

43.16

41.24

42.87

43.11

47.13

43.46

45.96

48.37

42.72

42.23

43.43

41.77

46.67

43.78

55.02

47.88

42.35

Dependence Ratios 2011 Dependence ratio 2026

Dependence ratio 2011 Dependence ratio 2026

OVERALL DEPENDENCE RATIO OF STATES


GOVERNMENT HOSPITALS VERSUS COMPETITIVENESS


45 50 55 60 650

200

400

600

800

1000

1200

1400

1600

1800

359

161 153

1717

Chhattisgarh

130

20

373

154142

92

500

919

386377

765

28 382048

1709

231

475

30

581

31

925

695

294

f(x) = 11.6625248823723 x − 253.380571713428R² = 0.0168977887808635


Num

ber o

f go

vern

men

t Hoi

spit

als

REGISTERED DOCTORS VERSUS COMPETITIVENESS


45 50 55 60 65 700

1000

2000

3000

4000

5000

6000

7000

8000

9000

10000

4487

445

2103

3979

Chhattisgarh

3629

939

2282

1836

2185

1701

5083

38063662

4520

584 504380314

5079

3545

6285

222

7107

716

6766

1135

8825

f(x) = 158.811520195752 x − 5888.67123002622R² = 0.114375447377846


Tota

l num

ber o

f re

gist

ered

Allo

path

ic d

octo

rs

PER CAPITA REVENUUE EXPENDITURE ON MEDICAL, HEALTH AND EXPENDITURE AND COMPETITIVENESS


45 50 55 60 65 700.00

500.00

1000.00

1500.00

2000.00

2500.00

436.39

1098.45

551.15

196.53

Chhattisgarh

1238.05

2329.84

372.67

483.97

929.00846.30

214.14

349.55

520.48

346.84374.00

839.80

627.41

1333.16

646.13

292.23

425.61

318.91

1609.06

520.35548.49

240.12

674.68

321.18

f(x) = 6.69646355370972 x + 281.172260081531R² = 0.00494322876233144


Per c

apit

a re

venu

e ex

peni

ture

on

med

ical

, hea

lth

and

sani

tatio

n

HOUSEHOLDS AND COMPETITIVENESS


45.00 50.00 55.00 60.00 65.000

5000000

10000000

15000000

20000000

25000000

30000000

35000000

21,024,534

261,614

6,367,295

18,940,629

5,622,850

322,813

12,181,718

4,717,954

1,476,5812,015,088

6,181,607

13,179,911

7,716,370

14,967,597

23,830,580

507,152538,299221,077

399,965

3,340,538

9,661,085

5,409,699

12,581,303

128,131

18,493,003

842,781

32,924,266

1,997,068

20,067,299

f(x) = 371145.931037376 x − 12281342.0148405R² = 0.0453207739242667


Num

ber o

f Hou

seho

lds

in M

illio

ns

AGRICULTURAL GSDP PER CAPITA AND COMPETITIVENESS


45 50 55 60 650.00

5000.00

10000.00

15000.00

20000.00

25000.00

12347.30

8365.167707.95

3544.25

Chhattisgarh

656.74

10395.169946.62

16813.45

12243.08

8061.98

2338.53

7240.20

8737.01

6764.89

7843.13

6263.776613.70

5163.39

13079.33

8268.70

21855.81

7689.918132.27

6276.60

7837.13

6519.647001.50

8608.96f(x) = 199.83119189307 x − 2794.91890931174R² = 0.060546362701113


Agr

icul

tura

l G

SDP

per c

apit

a in

Rup

ees

/Ann

um

PER CAPITA FERTILIZER CONSUMPTION AND COMPETITIVENESS


45 50 55 60 650

10

20

30

40

50

60

23.2282244062646

0.376100002097481

4.57501862731988

8.7462374151937

13.465832447018

0.0322325807523144

2.49018503515414

20.5552405695133

37.4656634434292

4.839197323302575.80368391685472

0.0118302852754991

16.6235612140178

3.52465372179083

13.749772461376614.9687239739463

1.9068571907254

1.02226479222215

1.878985970849140.348378927215059

7.10128156343005

50.7052423318947

12.6947996628205

8.91584821616082

3.2579394568067

16.0713311085477

11.3178617010677

8.2278995945778

f(x) = 1.04723769096585 x − 48.1097220763482R² = 0.212263036459636


Per c

aipi

ta co

nsum

ption

of N

itrog

enou

s fer

tilize

rs in

Kg

per a

nnum

MANUFACTURING AND COMPETITIVENESS


45 50 55 60 650

5000

10000

15000

20000

25000

30000

35000

40000

45000

50000

5430.21255178303

686.735459214487

2891.29349358347

682.662952715686

Chhattisgarh8836.25449055063

46639.8853249593

19883.9813555643

13941.5802494905

6290.15241818638

2006.28215484706

8087.451248354979042.10623846243

4666.22935961271

2445.18829247234

13611.1736904137

1565.76465095818 2184.97369720562

641.60252144641745.924884181839

5306.7860277001

8746.31710953275

4066.47194302526

1584.64650719887

10283.5405523878

1102.44319833204

3144.66731131901

5805.66213345943

4150.88360810606

f(x) = 966.525225315819 x − 47031.9642177853R² = 0.295490224708507


Man

ufac

turi

ng G

SDP

per c

apit

a in

Rup

ees

/Ann

um

SERVICES AND COMPETITIVENESS


45 50 55 60 65 700

10000

20000

30000

40000

50000

60000

70000

80000

90000

23830.8442074848

13332.4625171746

14073.8369934766

8729.01043910014

Chhattisgarh

84579.139252807

57222.4321386466

24877.1747202735

39781.8745053775

22050.0714479239

13090.9656749756

9804.28865839448

26863.2689065711

37117.1820868721

11122.8531517093

41977.5430815631

10327.4699617943

17087.6699458987

25214.9639387457

19471.7811305824

16181.6684616943

29658.5227375818

14138.5717249405

22754.1084679419

28658.8304385174

18821.40322354

10972.020748532

21557.288083500822633.2650287761

f(x) = 2177.67552876506 x − 97701.5650054445R² = 0.463669855488293


Serv

ices

GSD

P pe

r cap

ita

in R

upee

s /A

nnum

Andhra Prad

esh

Arunach

al Prad

eshAssa

mBihar

Chhattisga

rh Goa

Gujarat

Haryan

a

Himach

al Prad

esh

Jammu &

Kashmir

Jharkhan

d

Karnata

kaKera

la

Madhya

Pradesh

Mahara

shtra

Manipur

Meghala

ya

Mizoram

Nagala

nd

Odisha

Punjab

Rajasth

anSik

kim

Tamil N

adu

Tripura

Uttar Prad

esh

Uttarakh

and

West

Benga

l

16.85

0.21 4.94

13.98

4.15 0.289.64

3.53 1.24 1.55 4.8610.23

6.6010.92

19.06

0.40 0.42 0.16 0.337.87

4.279.34

0.10

14.17

0.66

25.76

1.59

15.72

21.02

0.266.37

18.94

5.62 0.32

12.18

4.72 1.48 2.026.18

13.18

7.72

14.97

23.83

0.51 0.54 0.22 0.40

9.66

5.41

12.58

0.13

18.49

0.84

32.92

2.00

20.07

Households in India (in Millions) 2001 and 2011

Andhra Prad

esh

Arunach

al Prad

eshAssa

mBihar

Chhattisga

rh Goa

Gujarat

Haryan

a

Himach

al Prad

esh

Jammu &

Kashmir

Jharkhan

d

Karnata

kaKera

la

Madhya

Pradesh

Mahara

shtra

Manipur

Meghala

ya

Mizoram

Nagala

nd

Odisha

Punjab

Rajasth

anSik

kim

Tamil N

adu

Tripura

Uttar Prad

esh

Uttarakh

and

West

Benga

l

67.254.7

24.9 10.3

53.1

93.680.4 82.9

94.880.7

24.3

78.6 70.2 70.0 77.560.0

42.7

69.6 63.6

26.9

91.9

54.7

77.8 78.2

41.831.9

60.3

37.5

92.2

65.7

37.1

16.4

75.3

96.990.4 90.5

96.885.1

45.8

90.6 94.467.1

83.9

68.460.9

84.2 81.6

43

96.6

67

92.5 93.4

68.4

36.8

87

54.5

Percentage of Households in India 2001 and 2011 having electricity

Percentage of Households having electricity in India 2001 Percentage of Households having electricity in India 2011

HOUSEHOLDS IN INDIA

Source: Census of India,2011 Institute for Competitiveness Analysis

ACCESS TO WATER

Jammu &

Kashmir

Himach

al Prad

esh

Punjab

Uttarakh

and

Haryan

a

Rajasth

an

Uttar Prad

esh Bihar

Sikkim

Arunach

al Prad

esh

Nagala

nd

Manipur

Mizoram

Tripura

Meghala

yaAssa

m

West

Benga

l

Jharkhan

d

Odisha

Chhattisga

rh

Madhya

Pradesh

Gujarat

Mahara

shtra

Andhra Prad

esh

Karnata

ka GoaKera

la

Tamil N

adu

0

10

20

30

40

50

60

70

80

90

100

63.9

89.5

51

68.2 68.8

40.6

27.3

4.4

85.3

65.5

47.2

38.6

58.7

33.2

39.3

10.5

25.4

12.9 13.8

20.723.4

69 67.969.9

66.1

85.4

29.3

79.8

6.5

2.9

0.5

1.1 3

10.8

4

4.3

0.6

5.7

25.7

7.5

4.7

27.4

25.4

18.9

636.5

19.511.4

20

7.114.4

6.49

11.1

62

5.1

11.4

3.6

24.7

2212

25.3 64.9

86.6

0

10.72.2

6.5

0.8

18.12.8

50.250.1

43.8

41.5

58.4

47.1

11.6

9.9

13.7

5.5

0.1

0.5

4.6

1.5

0.7

21.9

212.9

12.2

2.93

0

2.4

4.5

0.4

0.9

16.3

2.6

9.2

16.7

3.5

20

7.2 7.69.6

5.76.9

16

0.3 3.7 8.216.7

3.4 26.7

3.111.1

0.9 1.714.1

15.820.6

47.2

34.8

5.1

29.9

11.3

1.8 3.4 5.2 2.3 2 2.6 2.2 3.2 3.53.2

4.4 2.4

Tap water Well Handpump Tubewell Tank, Pond, Lake, River, Spring, Canal and any other source

Perc

enta

ge b

y so

urce

of h

ouse

hold

s

Source: Census of India,2011 Institute for Competitiveness Analysis

Gujarat 25%

Maharash-tra 21%

Tamil Nadu 9%

Karnataka 5%

Andhra Pradesh

5%

Haryana 3%

Uttar Pradesh

3%

West Bengal 3%

Odisha 3%

Kerala 3%

Delhi 2%

Rajasthan 2%

Punjab 2%

Madhya Pradesh

1%

Goa 1%

Rest of the states11%

Share of Exports from various states in 2010-11

Gujarat

Mahara

shtra

Tamil N

adu

Karnata

ka

Andhra Prad

esh

Haryan

a

Uttar Prad

esh

West

Bengal

Odisha

Kerala

0

20,000

40,000

60,000

80,000

100,000

120,000

140,000

160,000

4027244667

1854012296 9897 4792 7571 5583 3351 4753

3877543356

16085

9093 85595679 5524 4197 3230 5843

6169453788

23378

1360312567

8584 82087111 6990 6547

Value of Exports from various states

2008-09 2009-10 2010-11

Expo

rts i

n M

illio

ns o

f Dol

lars

EXPORT COMPETITIVENESS

Source: Economic Survey of India 2011, Institute for Competitiveness Analysis

COUNTRY EQUIVALENTS

Source: EIU 2011, Institute for Competitiveness Analysis

BAHAMAS

CUBA

Punjab

Uttar Pradesh

Haryana

Madhya Pradesh

Bihar

Rajasthan

Maharashtra

Gujarat

Jammu and Kashmir

Uttarakhand

Andhra Pradesh

Tamil Nadu

Karnataka

Odisha

West Bengal

Kerala

Chhattisgarh

Jharkhand

Himachal Pradesh

Arunachal Pradesh

Assam

Manipur

Mizoram

MeghalayaNagaland

SikkimDelhi

Goa

ChinaPakistan

Arabian SeaBay of Bengal

Indian OceanSri Lanka

Nepal

Tripura24.6

21.4

9.3

5.4

5.0

3.4

3.3

2.8

2.8

2.6

2.4

2.1

1.6

1.2

0.7

EXPORTS FROM THE TOP 15 STATES PERCENTAGE OF THE TOTAL


Punjab

Uttar Pradesh

Haryana

Madhya Pradesh

Bihar

Rajasthan

Maharashtra

Gujarat

Jammu and Kashmir

Uttarakhand

Andhra Pradesh

Tamil Nadu

Karnataka

Odisha

West Bengal

Kerala

Chhattisgarh

Jharkhand

Himachal Pradesh

Arunachal Pradesh

Assam

Manipur

Mizoram

Meghalaya

Nagaland

SikkimDelhi

Goa

ChinaPakistan



Nepal

Tripura

3

1

35

4015

22

18

11 364

100

5233

108

88

74

33

21

2

67

317

88

72

00

0

0

NUMBER OF PPP PROJECTS IN INDIA


Punjab

Uttar Pradesh

Haryana

Madhya Pradesh

Bihar

Rajasthan

Maharashtra

Gujarat

Jammu and Kashmir

Uttarakhand

Andhra Pradesh

Tamil Nadu

Karnataka

Odisha

West Bengal

Kerala

Chhattisgarh

Jharkhand

Himachal Pradesh

Arunachal Pradesh

Assam

Manipur

Mizoram

Meghalaya

Nagaland

SikkimDelhi

Goa

ChinaPakistan



Nepal

Tripura

1.04

0.57

2.29

2.09

16.495.67

1.38

0.84

8.58

3.47

7.55

2.580.24

0.300.09

0.22

0.16

0.11

2.724.99

9.29

0.12

6.002.11

7.00

5.05

2.765.96

POPULATION PERCENTAGES IN STATES


Punjab

Uttar Pradesh

Haryana

Madhya Pradesh

Bihar

Rajasthan

Maharashtra

Gujarat

Jammu and Kashmir

Uttarakhand

Andhra Pradesh

Tamil Nadu

Karnataka

Odisha

West Bengal

Kerala

Chhattisgarh

Jharkhand

Himachal Pradesh

Arunachal Pradesh

Assam

Manipur

Mizoram

MeghalayaNagaland

SikkimDelhi

Goa

ChinaPakistan



Nepal

Tripura

1788

16521056

945

941

933

872

821

801

713

698

669

650

615

571

553

544

534

529

494

487

474

404

396

394

378

377

320

254

All the figures are in dollars, The exchange rate taken for arriving at the figures was 1 US$ = 49 Rupees

PROSPERITY IN INDIA


STATE OF INDUSTRIES

0 20000 40000 60000 80000 100000 12000010000

100000

1000000

10000000

415770

68842

1729061

1367915

5791480

24225432821656

399736

16399781931929

5831565

1234256

102485

165686

22081

116967

69985

4159125018

712596

3060899

6465654

141029

1245945

732306

5943243

3710227

30241242555405

Contribution in Rs Crores

All India Average of 18,54,826 people employed/ state

All IndiaAll India Average

23816.62 Crores

Source: MSME , Institute for Competitiveness Analysis

CONTRIBUTION PER PERSON IN INDUSTRIES

Jammu &

Kashmir

Himach

al Prad

esh

Punjab

Haryan

a

Uttar Prad

esh

Rajasth

anDelh

i

Uttarakh

and

BiharOris

sa

West

Benga

l

Assam

Meghala

ya

Tripura

Mizoram

Manipur

Nagala

nd

Arunach

al Prad

eshSik

kim

Jharkhan

d

Gujarat

Mahara

shtra Goa

Madhya

Pradesh

Chhattisga

rh

Andhra Prad

esh

Karnata

kaKera

la

Tamil N

adu

0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

3.79 3.883.56

3.34

1.411.77

0.30

2.96

0.36

0.760.51 0.55 0.43 0.35

1.37

0.14

1.98

0.62

0.20

0.62

1.26

1.72

5.75

2.27

0.76

0.25

1.20

0.81

2.76

Cont

ribu

tion

in L

akhs

of R

upee

s

Average Contribution of

1.57 Lakhs/Person

Source: MSME 4th round , Institute for Competitiveness Analysis

PER UNIT EMPLOYMENT VERSUS PER UNIT GROSS OUTPUT

Source: MSME, Institute for Competitiveness Analysis

Manufacturing Services

Per unit employment (Person) 6.19 2.31

Per unit Gross Output (in Lakhs of Rupees) 112.36 14.89

Per unit revenues/ per unit employment 18.15 6.45

Manufacturing

Services

0.00

20.00

40.00

60.00

80.00

100.00

120.00

Per unit employment (Person)

Per unit Gross Output (in Lakhs of Rupees)

MARKET VALUE VERSUS ORIGINAL VALUE OF PLANT AND EQUIPMENT

Source: MSME, Institute for Competitiveness Analysis

Manufacturing

Services

0.002000.004000.006000.008000.00

10000.0012000.0014000.0016000.0018000.0020000.00

Market value of Fixed Investments in Crores of RupeesOriginal value of Plant and Machinery/ Equipment in Crores of Rupees

Manufacturing Services

Market value of Fixed Investments in Crores of Rupees 22238.89 3624.40

Original value of Plant and Machinery/ Equipment in Crores of Rupees 4300.01 235.64

No of times valued by the market 5.17 15.38

Top 7 types of Industries in the state

7-14 types of Industries in the state


21-28 types of Industries in state

STATE OF CLUSTER DEVELOPMENT: TOTAL NUMBER OF FACTORIES

Mining

TextilesApparels and related industries

Publishing and

Printing

Glass and related

industries

Footwear

Lighting Electric

equipment

Minerals

Tobacco

Automotive

Oil and Gas

Medical equipment

Furniture

Other transportat

ion

Leather industries

Wood and Forest

Products

Rubber and Plastic

Industries

Television and allied electronic industries

Processed food

Chemicals

Pulp and Paper

Agricultural Products

Agricultural services

Other Service

Industries

Machinery and

Equipment

Metals

Domestic and electric Industries

Production

Source: ASI 2008-09, Institute for Competitiveness Analysis

STATE OF CLUSTER DEVELOPMENT: TOTAL NUMBER OF EMPLOYEES




21-28 types of Industries in state

Mining

TextilesApparels and related

industries

Publishing and

Printing

Glass and related

industries

Footwear

Lighting Electric

equipment

Minerals

Tobacco

Automotive

Oil and Gas

Medical equipment

Furniture

Other transportat

ion

Leather industries

Wood and Forest

Products

Rubber and Plastic

Industries


Processed food

Chemicals

Pulp and Paper



Other Service

Industries

Machinery and

Equipment

Metals

Domestic and electric Industries

Production


STATE OF CLUSTER DEVELOPMENT: TOTAL NUMBER OF PEOPLE

TextilesMachinery and equipment

ChemicalDomestic and electric industries

Television and allied electronic industriesMinerals

Agriculture ProductsMedical

Pulp and PaperRubber and Plastic Industries

Leather IndustriesMetals

Food ProcessingLighting and electric equipment

other service industriesTobacco

AutomotivePrinting and Publishing

FootwearApparels and related Industries

Glass IndustriesFurniture

Wood and forest ProductsMining

Oil and Gasother transportation

ProductionAgriculture services

0 2000 4000 6000 8000 100001200014000

1297399859849

73164486

33902385

19251841

165416421573

13551280

976965

758624616514454

957300000Chart Title


CREATING A STATE ECONOMIC STRATEGY

State Value Proposition

Achieving and Maintaining parity with peers

Developing Unique Strengths

What are the main strengths, positive attributes, location advantage etc of the particular state in question.

• How can the state leverage on its unique capabilities and create new ones?

• Which businesses/ clusters can be made stronger?

• What are the key weaknesses which need to be taken care of while forming maintaining parity with peers?

State economic strategy requires setting clear priorities and measuring against predefined criteria.

COMPETITION AMONG STATES

Tactical (Zero Sum Competition)

Strategic (Positive Sum Competition)

• Focus on FDI investments

• Compete in every domain

• Offer tax benefits across the

spectrum

• Provide subsidies to lower / offset

business costs

• Every city and sub-region for itself

• Government is responsible for development of cluster.

• Focus on domestic and existing companies

• Compete in specialized cluster domains• Government incentives and support for

training, infrastructure, and institutions• Improve the efficiency of doing

business• Economies of scale to help benefit from

multiple geographies• Government and the private sector

collaborate to build cluster strength


HOW SHOULD STATES COMPETE WITH EACH OTHER

Old Model New Model

Competitiveness is the result of both top-down and bottom-up processes in which many companies and institutions take responsibility

• Government drives economic development through policy decisions and incentives

• Economic development is a collaborative process involving government at multiple levels, companies, teaching and research institutions, and private sector organizations


COMPETITION AMONG STATES

• The purpose of a sound economic policy is to increase the overall prosperity in the

state and for that the states should focus on increasing their competitiveness.

• Improvements and productivity and technological advancement are the guiding

principles in this regard.

• Competitiveness requires a fundamental rethinking of usage of your existing

resources.

• For government has to fundamentally rethink its role, it should try to foster a spirit

of entrepreneurship in the private sector.

• The criteria for judging the merits and demerits of an economic policy should be

by outcomes and not political philosophy.

• The prosperity of India will depend largely on the states and not just the (Center)

Delhi.

INTERPRETATION CHARTS

Top 33.33% of the states

33.33%-66.67% of the states

66.67% to 100% of the states

Position Trend

Prosperity

Productivity

Labour Mobilization

State of Clusters

Leading ClustersMachinery Agricultural ProductsTextilesChemicals

Type of Economy Transition Economy

• The snapshot chart summarizes the relative performance of a state on levels and trends in 5 key

measures. The circles in the chart show the measurement of the chart legend.

• Prosperity: State GDP per capita and 10 year trend.

• Productivity: Average Private wage and 10 year trend.

• Labour Mobilization: Total labour force as a share of civilian population and 10 year trend.

• Clusters: Total number of people employed in the cluster and total number of enterprises in the cluster.

• Type of Economy: Factor Driven economies, Changeover economies, Investment driven economies,

Transition economies, Innovation driven economies and city state economies.





The Chart represents the number of factories in various types of Industries in state.

The position of the various types of factories shows relative proximity in terms of type of Industry. Thus, Chemical is placed next to Oil and gas, etc.

The colour coding is done to show the importance of factory sector in terms of number of enterprises in the state. Thus yellow shows the maximum number of industries in the state.

STATE OF CLUSTER DEVELOPMENT : FACTORIES

Mining

TextilesApparels and

related industries

Publishing and

Printing

Glass and related

industries

Footwear

Lighting Electric

equipment

Minerals

Tobacco

Automotive

Oil and Gas

Medical equipment

Furniture

Other transporta

tion

Leather industries

Wood and Forest

Products

Rubber and Plastic Industries


Processed food

Chemicals

Pulp and Paper



Other Service

Industries

Machinery and

Equipment

Metals

Domestic and

electric Industries

Production

Top 7 ranked types of Factories in the state

7-14 ranked types of Factories in the state



The Chart represents the number of Employees in various types of Industries in state.

The position of the various types of industries shows relative proximity in terms of type of Industry. Thus, Chemical is placed next to Oil and gas. etc.

The colour coding is done to show the importance of Industries in terms of number of employees in the state. Thus yellow shows the bracket of maximum number of employees in the state.

STATE OF CLUSTER DEVELOPMENT : EMPLOYEES

Mining

TextilesApparels

and related industries

Publishing and

Printing

Glass and related

industries

Footwear

Lighting Electric

equipment

Minerals

Tobacco

Automotive

Oil and Gas

Medical equipment

Furniture

Other transportat

ion

Leather industries

Wood and Forest

Products

Rubber and Plastic

Industries


Processed food

Chemicals

Pulp and Paper



Other Service

Industries

Machinery and

Equipment

Metals

Domestic and

electric Industries

Production

• The economy has been looked at from the primary, secondary and tertiary Perspective. These sectors

are then looked in detail to find the contribution of each sub sector to the three primary sectors namely

Agriculture, Industry and Services.

• The result is a bubble chart which shows the contribution of each sub sector to the economy.

• The size of the bubble represents the size of the GSDP contribution in Rs. Crores.

Strong and Growing Position

Cluster is growing faster than Indian Average

The regions share of cluster GSDP relative to its size

COMPONENTS OF REGIONAL ECONOMIES

Him

acha

l Pra

desh

/Nati

onal

GSD

P sh

are

(Per

cent

) ,20

11

Change in contribution of GSDP of Himachal Pradesh to total Indian GSDP, CAGR (2000-2011)

6 8 10 12 14 16 18 20 22 240

1

2

3

4

5

6

7

46664.4793333333

6571.01

1654.876

26801.07933333344967.96533333333

391.707333333333

1456.56866666667

36334.5853333334

517.925333333333

13764.6166666667

5714.42066666667

3171.90066666667 27345.1653333334

131.899333333333

39494.212

14335.7806666666

• Clusters are geographically proximate

groups of interconnected companies and

associated institutions in a particular field.

Examples include chemical and

pharmaceutical clusters in Gujarat and

apparel and diamond cluster in Surat.

Clusters and sub clusters taken for the study

are taken at the end of this report.

• Employment by cluster gives a more

detailed profile of the activities in the state

economy that make up the Job Base. It can

be used to understand the importance of

the health of various groups of Industries

on the overall prosperity of the region.

EMPLOYMENT BY A CLUSTER

TextilesMachinery and equipment

ChemicalDomestic and electric industries

Television and allied electronic industriesMinerals

Agriculture ProductsMedical

Pulp and PaperRubber and Plastic Industries

Leather IndustriesMetals

Food ProcessingLighting and electric equipment

other service industriesTobacco

AutomotivePrinting and Publishing

FootwearApparels and related Industries

Glass IndustriesFurniture

Wood and forest ProductsMining

Oil and Gasother transportation

ProductionAgriculture services

0 2000 4000 6000 8000 10000 12000 14000

1297399859849

73164486

33902385

19251841

165416421573

13551280

976965

758624616514454

957300000Chart Title

• The political boundaries of a state often encompass many distinct regional economies or portions of

large regional economies. A comprehensive approach to economic development should reflect both

the distinct economies within the state as well as strong linkages to the economies in the neighboring

states. In addition to this clusters should be mapped on areas of high economic growth. This will lead

to spillover effects in the long run.

• A state's or region’s economy can be divided

into 3 components namely

1. Primary/Agriculture sector

2. Secondary/Industry sector

3. Tertiary/Service sector

In this report we focus more on Industrial sector to bring out its components in detail.

GSD

P in

Rs.

Cro

re

A BRIEF NOTE OF THE REGIONS AND OVERALL ECONOMY OF HIMACHAL PRADESH

Agriculture, forestry and fishing

Industry Services 0

500000

1000000

1500000

2000000

2500000

3000000

8431 17823 14889

924340

1492375

2549085

Agricultural products• Grain mill products, starches & starch products and prepared animal foods• Other food products• Beverages

Apparels and related industries• Knitted and crocheted fabrics and articles• Wearing apparel; dressing and dyeing of fur• Wearing apparel, except fur apparel

Agricultural services• Agriculture, hunting, and related services activities

Automotive• Bodies (coach work) for motor

vehicles• Parts and accessories for motor vehicles & their engines

Chemicals• Basic chemicals

Domestic and electric Industries• Domestic appliances• Office, accounting and computing machinery• Electrical machinery and apparatus • Electric motors, generators and transformers• Electricity distribution and control apparatus

Footwear• Footwear

Furniture• Furniture

Glass and related industries• Glass and glass products

Leather industries• Tanning & dressing of leather; luggage, handbags

Medical equipment• Medical, precision and optical instruments, watches & clocks

Metals• Basic Iron & Steel• Basic precious and non-ferrous metals• Casting of metals

Lighting electric equipment• Insulated wire and cable• Accumulators, primary cells and primary batteries• Electric lamps and lighting equipment• Other electrical equipment

Minerals• Minerals

Machinery and equipment• Structural metal products, tanks, reservoirs• Other fabricated metal products• Machinery and equipment • General purpose machinery• Special purpose machinery

Other service industries• Other Service Industries

Mining• Mining and quarrying

Processed food• Manufacture of food products and beverages• Meat, fish, fruit vegetables, oils and fats• Dairy product

Publishing and printing• Publishing• Printing and service activities related to printing

Rubber and plastic industries• Rubber products• Plastic products

Production• Manufacturing

Pulp and Paper• Pulp and Paper Industries

Wood and forest products• Wood and of products• Saw milling and planning of wood• Products of wood, cork, straw and plaiting materials

Textiles• Spinning, weaving and finishing of textiles• Other textiles

Oil and gas• Coke oven products• Refined petroleum products

Tobacco• Tobacco products

Television and allied electronic industries• Electronic valves and tubes and other electronic components• Television and radio transmitters and apparatus• Television and radio receivers

Other transportation• Other transport equipment• Railway and tramway locomotives and rolling stock• Transport equipment

CLUSTERS AND SUB CLUSTERS IN THE INDIAN ECONOMY

Documents

Himachal pradesh