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Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland [email protected]

Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland [email protected]

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Page 1: Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland bartosz@ibspan.waw.pl

Emission trading and uncertainty

  

Paweł BartoszczukSystems Research Institute,

PAS,Poland

[email protected]

Page 2: Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland bartosz@ibspan.waw.pl

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Outline

• The idea of emission trading• Uncertainty in trading• Optimisation problem• Scenarios and results• Conclusion

Page 3: Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland bartosz@ibspan.waw.pl

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MAC’s for 2 regions (example)

p1

p3

k

D

CBA

MAC1

MAC2

Marginal cost of abatement

Carbon abated region 1

p2

Carbon abated region 2h tr

E

Page 4: Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland bartosz@ibspan.waw.pl

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Analysed regions (Annex B)

1. USA

2. Japan (JPN)

3. European Community 12 (as 1992) (EEC)

4. Other OECD (OOE)

5. Eastern Europe (EET)

6. Former Soviet Union (FSU)

Page 5: Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland bartosz@ibspan.waw.pl

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Necessary abatement 

Base year emissions

(1990)Kyota qouta

Kyoto Emission target in

2010

Anticipated emissions in

2010Abatement

agreed

Mton Mton Mton Mton-1- -2- -3- -4- -5-

='2' x '1' ='4'-'3'

USA 1362 93% 1267 1838 571JAPAN 298 94% 280 424 144EEC 822 92% 756 1064 308OOE 318 94% 301 472 171EET 266 104% 277 395 118FSU 891 98% 873 763 -110

Page 6: Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland bartosz@ibspan.waw.pl

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How to calculate the marginal and total costs

• Marginal cost of abatement

• P=aQ2+bQ, • Total costs

• C=0.33aQ3+0.5bQ2. • Coeficients a, b were taken from Ellerman

paper MIT (1998)

Page 7: Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland bartosz@ibspan.waw.pl

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Optimisation problem (1)

• i=1, ...6 are Kyoto Annex B regions;

• ai = emission at „i” (Mton) in 2010 if no

abatement.

• xi = emission at source i in Mton after

trade;

• ci= the total costs of abatement from ai to xi,

)]([min6

1iii

ix

xaci

Page 8: Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland bartosz@ibspan.waw.pl

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Optimisation problem (2)

• alfa =the risk of not satisfying the Kyoto target due to uncertainty di=relative uncertainty of the source i,

• Ki= the Kyoto target for country i,• ni= base year emission at source i in

Mton (1990),• yi= the number of emission permits

acquired by source i (yi is negative if region i is a net supplier of permits)

iiiii yKndxtosubject )21(

Page 9: Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland bartosz@ibspan.waw.pl

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Relative uncertainty of the region i

•USA 0,15

•JPN 0,1

•EEC 0,2

•OOE 0,17

•EET 0,3

•FSU 0,3Simulating the Carbon Permit Market with ImperfectObservations of Emissions:Approaching Equilibrium through Sequential Bilateral TradeOdd Godal

Page 10: Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland bartosz@ibspan.waw.pl

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Abatement, a=0.5 no uncertainty

alfa 0.5 USA JPN EEC OOE EET FSU SUM186 582 274 233 116 \ \571 144 308 171 124 \ 1318468 49 202 129 125 235 1207103 94 106 43 -1 -345 018% 65% 34% 25%

Permits exp(-)/imp(+) (Mton.)

Commitment

Marginal costs ($/ton)*Abatement agreed

Abatement after trade

permits price 128 $/tonReduction, permits exp/imp- (Mton)

Page 11: Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland bartosz@ibspan.waw.pl

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Cost of abatement and permits, a=0.5, no uncertainty

alfa 0,5 USA JPN EEC OOE EET FSU SUM

37 34 30 13 5 0 119

21 3 10 5 5 10 5413 12 14 5 0 -44 034 15 23 10 5 -34 543 19 7 3 0 34 66

6. Gain/cost no trade (%.) 9% 56% 23% 22% 0% 55%

if trade ($bill.)*

3. Permits exp(-)/imp(+) ($bill.)

4.Abatement+permits ($ bill.)

5.Gain from trade ($bill.)

1.Cost of abatement

if no trading ($bill.)*

2.Cost of abatement

Page 12: Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland bartosz@ibspan.waw.pl

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Results, a=0, uncertainty fully accounted for

alfa 0 USA JPN EEC OOE EET FSU SUM315 1044 729 514 455 33 \755 207 521 252 237 119 2090810 105 358 212 211 395 2090-55 103 163 40 26 -277 0

50% 31% 16% 11%

Marginal costs ($/ton)*

Reduction after trading

Permits exp(-)/imp(+) (Mton.)

%Commitment (import)

Reduction agreed

permits price 360 $/tonReduction, permits exp/imp- (Mton)

USA sells !

Page 13: Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland bartosz@ibspan.waw.pl

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Results, a=0, uncertainty fully accounted for

alfa 0 USA JPN EEC OOE EET FSU SUM

82 85 132 42 36 1 378

101 16 46 25 25 47 260-19 37 59 14 1 -100 -882 53 105 39 26 -53 2520 32 27 3 10 54 126

38% 20% 7% 28% 33%

1. Cost of abatement

6.Gain/Cost no trade (%)

4. Abatement+permits ($ bill.)

5. Gain from trade ($bill.)

after trade ($bill.)*

3. Permits exp(-)/imp(+) ($bill.)

if no trading ($bill.)*2. Cost of abatement only

Page 14: Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland bartosz@ibspan.waw.pl

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Results, a=0.33, uncertainty partly accounted for

alfa 0.33 USA JPN EEC OOE EET FSU SUM225 721 400 314 204 \ \632 165 378 198 157 \ 1530580 67 253 156 152 288 149552 98 125 42 5 -322 08% 60% 33% 21% 3%

Marginal costs ($/ton)*Reduction agreed

Reduction if trading

Permits exp(-)/imp(+) (Mton.)

% Commitment

permit price 190 $/ton

Reduction, permits exp/imp- (Mton) FSU-hot air 34 Mton

Page 15: Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland bartosz@ibspan.waw.pl

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Results, a=0.33, uncertainty partly accounted for

alfa 0,33 USA JPN EEC OOE EET FSU SUM

50 48 54 20 11 183

39 6 18 9 9 18 9910 18 24 8 1 -6149 24 42 17 10 -43 991 24 12 3 1 43 84

6.Gain/Cost reduction (%) 2% 50% 22% 15% 9% 46%

5.Gain from trade ($bill.)

2. Cost of abatement

after trade ($bill.)*

3. Permits exp(-)/imp(+) ($bill.)

4.Abatement+permits ($ bill.)

1. Cost of abatement

no trading ($bill.)*

Page 16: Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland bartosz@ibspan.waw.pl

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Gain from trading

scenario price USA JPN EEC OOE EET FSU SUMa=0 360 0 32 27 3 10 54 126a=0.33 190 1 24 12 3 1 43 84a=0.5 120 3 19 7 3 0 34 66

Page 17: Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland bartosz@ibspan.waw.pl

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How far marginal costs from market price?

USA JPN EEC OOE EET FSUa= 0 -45 684 369 154 95 -327a=0.33 35 531 210 124 14 /a=0.5 58 454 146 105 -12 /

Difference between marginal costs and permit price

Page 18: Emission trading and uncertainty Paweł Bartoszczuk Systems Research Institute, PAS, Poland bartosz@ibspan.waw.pl

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Conclusion

• Trading effect: cost reductions• Regions whose marginal cost is further from the

trading equilibrium will benefit more than those whose cost is closer

• The greatest benefits obtains FSU, that is the biggest exporter of permits, and Japan that imports more than 60% of its Kyoto commitment.

• When a=0, most regions gain from trading