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37th IAEE International Conference37
Study the Sector Coverage in the ETS in China
Ying Fan, Xu Wang, Lei ZhuYing Fan, Xu Wang, Lei Zhu
Center for Energy and Environmental Policy research (CEEP)Institute of Policy and Management
Chinese Academy of Sciences (CAS)
www.ceep.cas.cn
y ( )June 15-18, 2014 New York, USA
7 ETS pilots in China are initiated
Tianjin
BeijingShanghai
HubeiChongqing gq gGuangdongShenzhen
www.ceep.cas.cn 2
Introduction
C f ifi d b k tCoverage of unified carbon market:
Transaction cost Immature of ETS
It is difficult to include all sectors in ETS
Wh i h ffi iWhat is the most efficient inclusion in ETS
www.ceep.cas.cn 3
CO2 emissions, GDP and CO2 intensity for each region in 2010Region 2010 emissions
(million tons )2010 GDP
(million RMB)2010 CO2 intensity
(tons per ten thousand RMB)125 85 1411358 0 891Beijing 125.85 1411358 0.891
Tianjin 179.42 922446 1.945
Hebei 839.89 2039426 4.118
Shanxi 491.84 920086 5.3461167200 4 991Inner Mongolia 582.56 1167200 4.991
Liaoning 595.15 1845727 3.224
Jilin 241.17 866758 2.782
Heilongjiang 247.43 1036860 2.386
Shanghai 260.27 1716598 1.516
Jiangsu 695.10 4142548 1.678
Zhejiang 384.58 2772231 1.387
Anhui 293.07 1235933 2.371
Fujian 221.83 1473712 1.505
Jiangxi 160.45 945126 1.698
Shandong 899.27 3916992 2.296
Henan 592.88 2309236 2.567
Hubei 403.07 1596761 2.524
Hunan 301.55 1603796 1.880
Guangdong 545.42 4601306 1.185
Guangxi 199.54 956985 2.085
Hainan 30.94 206450 1.499
Chongqing 150.18 792558 1.895
Sichuan 341.38 1718548 1.986
Guizhou 225.29 460216 4.895
4
Yunnan 227.61 722418 3.151
Shan-xi 245.03 1012348 2.420
Gansu 156.85 412075 3.806
Ningxia 108.77 168965 6.438
Targets for CO2 Intensity Reduction in the 12th Five-Year Plan
Region Reduction of CO2
Emissions per unit GDP (%)
Region Reduction of CO2
Emissions per unit GDP (%)(%) (%)
Beijing 18 Henan 17 Tianjin 19 Hubei 17 Hebei 18 Hunan 17Hebei 18 Hunan 17 Shanxi 17 Guangdong 19.5
Inner Mongolia 16 Guangxi 16 Liaoning 18 Hainan 11Liaoning 18 Hainan 11
Jilin 17 Chongqing 17 Heilongjiang 16 Sichuan 17.5
Shanghai 19 Guizhou 16Shanghai 19 Guizhou 16 Jiangsu 19 Yunnan 16.5
Zhejiang 19 Shan-xi 17 Anhui 17 Gansu 16Anhui 17 Gansu 16 Fujian 17.5 Ningxia 16 Jiangxi 17 Xinjiang 11
Shandong 18 Total 17Shandong 18 Total 17
5
Projected GDP for each region in 2015
Region GDP annual growth rate
GDP in Year 2015(million RMB) Region GDP annual
growth rateGDP in Year 2015
(million RMB)
Beijing 8% 2073747 94 Henan 9% 3553045 83Beijing 8% 2073747.94 Henan 9% 3553045.83
Tianjin 12% 1625665.04 Hubei 10% 2571599.56
Hebei 9% 3066596.55 Hunan 10% 2582929.50
Shanxi 13% 1695198.81 Guangdong 8% 6760828.10
Inner Mongolia 12% 2057005.21 Guangxi 10% 1541233.91
Liaoning 11% 3110157.33 Hainan 13% 380370.74
Jilin 12% 1527523.75 Chongqing 13% 1428215.25
Heilongjiang 12% 1827301.60 Sichuan 12% 3028668.77
Shanghai 8% 2522245 64 Guizhou 12% 811057 84Shanghai 8% 2522245.64 Guizhou 12% 811057.84
Jiangsu 10% 6671614.98 Yunnan 10% 1163461.41
Zhejiang 8% 4073316.84 Shan-xi 12% 1784103.08
Anhui 15% 2485902.72 Gansu 12% 726216.95
Fujian 10% 2373427.91 Ningxia 12% 297774.06
Jiangxi 11% 1592592.27 Xinjiang 10% 875709.98
6
Shandong 9% 6026777.72 Total 7% 55819174.54
Projected CO2 intensity for in 2015 in BAU scenario (tons per ten thousand RMB)( p )
Region Reduction of CO2 intensity per year
CO2 intensity in 2015 Region Reduction of CO2
intensity per year CO2 intensity in 2015
Beijing 0.03 0.766 Henan 0.0235 2.280
Tianjin 0.0275 1.692 Hubei 0.0241 2.234
Hebei 0 0241 3 645 Hunan 0 0245 1 661Hebei 0.0241 3.645 Hunan 0.0245 1.661
Shanxi 0.026 4.686 Guangdong 0.025 1.044
Inner Mongolia 0.02 4.512 Guangxi 0.02 1.885
Li i 0 025 2 841 H i 0 015 1 390Liaoning 0.025 2.841 Hainan 0.015 1.390
Jilin 0.026 2.439 Chongqing 0.025 1.670
Heilongjiang 0.025 2.103 Sichuan 0.0275 1.728
Shanghai 0.0275 1.319 Guizhou 0.02 4.425
Jiangsu 0.0245 1.482 Yunnan 0.015 2.921
Zhejiang 0.024 1.229 Shan-xi 0.027 2.111
Anhui 0.024 2.100 Gansu 0.026 3.337
Fujian 0.01 1.431 Ningxia 0.015 5.969
Jiangxi 0.026 1.488 Xinjiang 0.02 3.098
7
Shandong 0.02 2.075 Total 0.0241 2.021
Abatement targets of each province in 2015 (million tons)Region 2010 emissions 2015 emissions in BAU Scenario 2015 emissions in Constraint Scenario abatementBeijing 125.85 158.79 151.63 7.16
Tianjin 179.42 275.05 256.13 18.93
Hebei 839.89 1117.89 1035.58 82.30
Shanxi 491.84 794.35 752.14 42.22
Inner Mongolia 582.56 928.03 862.40 65.63
Liaoning 595.15 883.63 822.35 61.27
Jilin 241.17 372.57 352.77 19.80
Heilongjiang 247.43 384.21 366.29 17.92
Shanghai 260.27 332.65 309.76 22.89
Jiangsu 695.10 988.88 906.76 82.12
Zhejiang 384.58 500.45 457.71 42.73
Anhui 293.07 522.04 489.25 32.79
Fujian 221.83 339.75 294.74 45.01
Jiangxi 160.45 237.01 224.41 12.60
Shandong 899.27 1250.70 1134.58 116.12
Henan 592.88 809.95 757.14 52.81
Hubei 403.07 574.61 538.80 35.81
Hunan 301.55 429.00 403.09 25.91
Guangdong 545.42 706.11 645.12 60.98
Guangxi 199.54 290.48 269.94 20.54
Hainan 30.94 52.86 50.74 2.12
Chongqing 150.18 238.45 224.62 13.83
Sichuan 341.38 523.33 496.35 26.99
Guizhou 225.29 358.89 333.51 25.38
Yunnan 227.61 339.88 306.08 33.80
Shan-xi 245.03 376.60 358.42 18.18
Guizhou 156.85 242.31 232.20 10.11
Ningxia 108.77 177.74 161.03 16.72
Xinjiang 186.39 271.34 267.16 4.188
What role does an unified ETS will play? Local governments may decrease their abatement cost
through ETS by allocating between Trading sectors and Non trading sectorsNon-trading sectors.
www.ceep.cas.cn 9
Strategic allocation
Eastern region Western regionTrading Trading
Marginal
sector sector Marginal c
MAC
MAC
cost
P
cost
abatementR* R0 R1Non-trading
Non-trading
abatementR0R1 R*
Marginal co
sectorMarginal
gsectorMAC
MAC
ostcost
www.ceep.cas.cn 10abatement
R*R0abatement
R0R*
Analytical framework
Central government: decides the inclusion of ETS
allocates allowances among regions
GameEastern region:Allocate allowances
Act simultaneously
GameWestern region:Allocate allowancesAllocate allowances
between Trading sectors and Non-trading sectors.
y
Cost saving
Allocate allowances between Trading sectors and Non-trading sectors.
Nash-Cournot game in strategic allocation g g
Potential effect on the allowances price, abatement cost and trading volumes
www.ceep.cas.cn 11
Theoretical model
Nash-Cournot game in strategic allocation
assume that China will initiate the unified carbon market in 2015; for region , abatement target is . i ˆ
iA suppose allocating allowance to trading sectors, then non-trading
sectors get , the real abatement is , the difference will be traded in the ETS
iq,
ˆi NT i iA A q
i TA the real abatement is , the difference will be traded in the ETS allowance price is a function of total number of total abatement: MAC of trading and non-trading sectors is and respectively;,i TC
( )ii
p p q ,i N TC
,i TA
objective for each region is to minimal total abatement cost; Objective function:
min [ ( ) ( )( ) ( )]C A p q q q A C A (1)
The first order condition with respect to :min
iq , , , , ,[ ( ) ( )( ) ( )]i T i T i j i i T i NT i NTj i
C A p q q q A C A
( )i NT i i TC p q A p
(1)
(2)iq
www.ceep.cas.cn 12
, ,( )i NT i i Tp q pRef: Böhringer and Rosendahl (2009)
Policy scenariosy
Scenario Characteristics
No Trade Allowance trading is prohibited across regions
Trade Strategic partitioning has no influence on the unified carbon market
Nash Each region may have the ability to manipulate the allowance price in the ETS
www.ceep.cas.cn 13
Definition of the sectoral coverage by caseg y
description
Case 1paper and printing is removed from the Base Case scenario coverage
Case 1
BTrading sectors cover mining; paper and printing; processing of petroleum, coking,
i f l f l l d l d d i dBase case processing of nuclear fuel; metals and non-metal products; production andsupply of electric power and gas
C 2 Ch i l d t i i l d d i th B C ETSCase 2 Chemical products is included in the Base Case ETS
Case 3 Machinery is included in the Case 2 ETS
Case 4 Foods and Tobacco is included in the Case 3 ETS
Case 5 Textile is included in the Case 4 ETS
Case 6 Wood is included in the Case 5 ETS
Case 7 Other sectors are included in the Case 6 ETS ,i.e. ETS covers all industrial sectors
Case Alltrade all sectors are included in the ETS
14
Comparison of scenario No Trade, Trade and Nash based on the ETS coverage of the Base case
Region No trade Trade Nash
MACT MACNT TAC MACT MACNT TAC MACT MACNT TAC
Beijing 49 89 49 89 176 37 45 62 45 62 175 10 45 74 45 77 175 17Beijing 49.89 49.89 176.37 45.62 45.62 175.10 45.74 45.77 175.17
Tianjin 81.25 81.25 754.89 45.62 45.62 612.71 45.74 46.21 613.68
Hebei 33.68 33.68 1373.36 45.62 45.62 1205.07 45.74 44.08 1201.92
Shanxi 21.95 21.95 461.81 45.62 45.62 -68.38 45.74 43.30 -69.33
Inner Mongolia 35 61 35 61 1158 16 45 62 45 62 1068 73 45 74 44 69 1066 77Inner Mongolia 35.61 35.61 1158.16 45.62 45.62 1068.73 45.74 44.69 1066.77
Liaoning 36.97 36.97 1121.14 45.62 45.62 1061.19 45.74 44.92 1059.57
Jilin 23.85 23.85 234.58 45.62 45.62 43.77 45.74 44.70 41.71
Heilongjiang 50.46 50.46 446.80 45.62 45.62 442.77 45.74 45.84 442.97
Shanghai 54 86 54 86 619 05 45 62 45 62 601 89 45 74 45 95 602 33Shanghai 54.86 54.86 619.05 45.62 45.62 601.89 45.74 45.95 602.33
Jiangsu 71.62 71.62 2888.04 45.62 45.62 2516.09 45.74 47.41 2519.85
Zhejiang 70.24 70.24 1472.61 45.62 45.62 1296.08 45.74 46.59 1297.84
Anhui 38.38 38.38 622.63 45.62 45.62 601.00 45.74 45.38 600.28
Fujian 113 36 113 36 2474 21 45 62 45 62 1612 37 45 74 47 27 1615 53Fujian 113.36 113.36 2474.21 45.62 45.62 1612.37 45.74 47.27 1615.53
Jiangxi 41.06 41.06 255.74 45.62 45.62 252.66 45.74 45.66 252.50
Shandong 83.52 83.52 4755.39 45.62 45.62 3796.87 45.74 48.68 3804.80
Henan 45.60 45.60 1189.10 45.62 45.62 1189.10 45.74 45.73 1189.09
Hubei 43 95 43 95 778 71 45 62 45 62 777 61 45 74 45 65 777 45Hubei 43.95 43.95 778.71 45.62 45.62 777.61 45.74 45.65 777.45
Hunan 51.15 51.15 653.66 45.62 45.62 646.20 45.74 45.90 646.52
Guangdong 144.07 144.07 4265.29 45.62 45.62 2310.54 45.74 48.11 2315.98
Guangxi 59.63 59.63 603.22 45.62 45.62 570.67 45.74 46.01 571.23
Hainan 43 46 43 46 45 67 45 62 45 62 45 56 45 74 45 73 45 55Hainan 43.46 43.46 45.67 45.62 45.62 45.56 45.74 45.73 45.55
Chongqing 50.63 50.63 345.58 45.62 45.62 342.28 45.74 45.82 342.43
Sichuan 42.52 42.52 567.39 45.62 45.62 564.45 45.74 45.62 564.22
Guizhou 29.16 29.16 367.66 45.62 45.62 252.90 45.74 44.92 251.33
Yunnan 46 19 46 19 771 23 45 62 45 62 771 11 45 74 45 76 771 15Yunnan 46.19 46.19 771.23 45.62 45.62 771.11 45.74 45.76 771.15
Shan-xi 49.51 49.51 444.72 45.62 45.62 442.03 45.74 45.82 442.20
Gansu 23.70 23.70 119.04 45.62 45.62 19.60 45.74 45.20 18.52
Ningxia 22.68 22.68 188.44 45.62 45.62 0.56 45.74 44.77 -1.39
Xinjiang 10 48 10 48 21 85 45 62 45 62 217 85 45 74 44 94 219 46
Equilibrium carbon price and cost-saving
40.00%50.00
45.98 45.74 35.00%46.00
48.00
/CO
2)
29.68%
43.87 43.30
42.06 41.91 41.77 41.68
40 12
30.00%42.00
44.00
avin
g
ce p
rice(
RM
B/
24.96%25.48%
25.92%26.36% 26.65% 26.71%
40.12
25.00%38.00
40.00
Cos
t sa
briu
m a
llow
an
18.87%
21.37%
20.00%
32 00
34.00
36.00
equi
li
15.00%30.00
32.00
Case 1 Base case Case 2 Case 3 Case 4 Case 5 Case 6 Case 7 All trade
cost saving allowance price
www.ceep.cas.cn 16
cost saving allowance price
Percentage of ETS Percentage of ETS Trading Volume among regions
Comparison of different inclusionsg
covered emissions g
covered GDP g g g
in million tons
Case1 64.54 17.29 178.95 Base case 65.68 18.34 182.03 Case2 74.39 23.64 218.77 Case3 77.51 24.59 231.35
Case4 79.91 35.31 232.25
Case5 81.64 39.59 232.88 Case6 81.93 42.94 233.25 Case7 82.41 44.27 235.20 All trade 100 100 235.23
As more sectors are successively included in the ETS, equilibrium ll i d ll d li b t it h littl dallowance price gradually declines, but it changes little and are very
close to the price level in the All Trade case; When adding more sectors into trading sectors based on case 2, the g g ,
cost-saving effect increases little; Although more sectors could trade allowances as the broaden inclusion
of emissions trading scheme There is no obvious increasing trend in
17
of emissions trading scheme, There is no obvious increasing trend in the trading volumes.
Analysis on unified ETS
h i i i i ifi d h i The main participants in an unified ETS are the regions where the share of emission intensive industries is relatively larger;larger;
These regions have the potential to manipulate the allowance price in the ETS;price in the ETS;
Unified ETS brings remarkable influence on the total abatement cost and economic output of these regions both p gdomestically and locally;
In the emissions trading scheme, there is no obvious increasing trend in the volume of allowance trading when more sectors are included in ETS after Case 2;
www.ceep.cas.cn 18
Discussion on different inclusion of ETS in China
1) Transaction cost
Case 1 Basecase Case 2 Case 3 Case 4 Case 5 Case 6 Case 7
Additional cost-saving 2.50% 3.59% 0.52% 0.44% 0.44% 0.29% 0.05%
Based on empirical evidence in Ireland and Germany, the transaction costs as a p y,
proportion of total compliance costs represent 1.50–1.70%;
Marginal cost-saving effect increase little if change the inclusion of ETS from case g g g
3 to case 7, which may not offset the impact of transaction cost.
www.ceep.cas.cn 19
Discussion on suitable inclusion of ETS in China
2) Differences in regional abatement cost
The deviation in parameter of abatement cost function for the sectors covered in each Case
Base case Case2 Case3 Case4 Case5 Case6 Case7
,i j
Base case Case2 Case3 Case4 Case5 Case6 Case7
Standarddeviations 39.61 76.87 43.07 39.61 37.70 49.62 55.93deviationsof($/ton)
39.61 76.87 43.07 39.61 37.70 49.62 55.93,i j
mining, paper and printing
Therefore, the suitable inclusion of ETS is case2, including:
paper and printing, processing of petroleum, coking, processing of nuclear fuel, chemical products, metals and non-metal products,
www.ceep.cas.cn 20
metals and non metal products, production and supply of electric power and gas
Conclusion
Unified ETS will play an important role in CO2 reduction both in cost saving effect and mechanism to support resource oriented regionssaving effect and mechanism to support resource-oriented regions.
Even though the ETS does not include all the sectors, the regional strategic partitioning has little influence on the allowance price and compliance costs.
As a consequence of strategic allocation in the context of ETS, the cost saving in non-trading sector is also achievedcost saving in non trading sector is also achieved.
When industrial sectors are successively included in the ETS, allowance prices essentially range between 40–50 RMB/ton CO2,
hi h i i i l f l b h l iwhich give a price signal for low carbon technology investment. The suitable inclusion of ETS in China could cover the following
industrial sectors: mining; paper and printing; processing ofindustrial sectors: mining; paper and printing; processing of petroleum, coking, processing of nuclear fuel; chemical products; metals and non-metal products; production and supply of electric
dwww.ceep.cas.cn
power and gas
21
Thank you!Thank you!
Welcome toWelcome to4th IAEE Asian Conference,
B iji 19 21 S 2014Beijing, 19-21 Sept. 2014
http://iaeeasia csp escience cn/www.ceep.cas.cn 22
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