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How will sectoral coverage affect the efficiency of an emissions trading system? A CGE-based case study of China

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  • Mu, Yaqian
  • Evans, Samuel
  • Wang, Can
  • Cai, Wenjia

Abstract

This study contributes to the existing literature on optimal carbon mitigation policy by quantifying the impacts of various sectoral coverage options for the emissions trading systems (ETS) used to achieve China’s Intended Nationally Determined Contribution (INDC) targets for the Paris Agreement on climate change. The CHEER model, a computable general equilibrium (CGE) model of China with detailed representation of electricity and other energy intensive sectors, as well asa complete CO2 emissions accounting module and carbon market, is used in this study. Results show several important findings. First, China’s INDC targets can be achieved through an economy-wide ETS at an economic cost of 2.1% of real GDP by 2030. Second, including only the eight sectors proposed for initial implementation of the ETS in China is likely to result in a much larger mitigation cost than the economy-wide approach, estimated to be as high as 10.5% of 2030 real GDP. Thirdly, this study further indicates that the mitigation costs can be reduced to 3.3% of real GDP in 2030 if other energy-intensive sectors, accounting for additional 24.8% of total emissions, are included in the ETS. Asa result, not all sectors are required to get close to the first-best mitigation option so long as critical sectors are not excluded. In addition, the temporal dimension of mitigation costs and air pollution co-benefits under different sectoral schemes of China’s ETS gives policy-makers a degree of short-run flexibility in terms of phasing in additional industries over time.

Suggested Citation

  • Mu, Yaqian & Evans, Samuel & Wang, Can & Cai, Wenjia, 2018. "How will sectoral coverage affect the efficiency of an emissions trading system? A CGE-based case study of China," Applied Energy, Elsevier, vol. 227(C), pages 403-414.
  • Handle: RePEc:eee:appene:v:227:y:2018:i:c:p:403-414
    DOI: 10.1016/j.apenergy.2017.08.072
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    1. Angel Aguiar & Badri Narayanan & Robert McDougall, 2016. "An Overview of the GTAP 9 Data Base," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 1(1), pages 181-208, June.
    2. Fan, Ying & Wu, Jie & Xia, Yan & Liu, Jing-Yu, 2016. "How will a nationwide carbon market affect regional economies and efficiency of CO2 emission reduction in China?," China Economic Review, Elsevier, vol. 38(C), pages 151-166.
    3. Mittal, Shivika & Dai, Hancheng & Fujimori, Shinichiro & Masui, Toshihiko, 2016. "Bridging greenhouse gas emissions and renewable energy deployment target: Comparative assessment of China and India," Applied Energy, Elsevier, vol. 166(C), pages 301-313.
    4. Jia, Jun-Jun & Xu, Jin-Hua & Fan, Ying, 2016. "The impact of verified emissions announcements on the European Union emissions trading scheme: A bilaterally modified dummy variable modelling analysis," Applied Energy, Elsevier, vol. 173(C), pages 567-577.
    5. Tang, Bao-jun & Shen, Cheng & Gao, Chao, 2013. "The efficiency analysis of the European CO2 futures market," Applied Energy, Elsevier, vol. 112(C), pages 1544-1547.
    6. Tang, Ling & Shi, Jiarui & Bao, Qin, 2016. "Designing an emissions trading scheme for China with a dynamic computable general equilibrium model," Energy Policy, Elsevier, vol. 97(C), pages 507-520.
    7. Kuster, Robert & Ellersdorfer, Ingo & Fahl, Ulrich, 2007. "A CGE-Analysis of Energy Policies Considering Labor Market Imperfections and Technology Specifications," Climate Change Modelling and Policy Working Papers 12035, Fondazione Eni Enrico Mattei (FEEM).
    8. Yang, Xi & Teng, Fei & Wang, Gehua, 2013. "Incorporating environmental co-benefits into climate policies: A regional study of the cement industry in China," Applied Energy, Elsevier, vol. 112(C), pages 1446-1453.
    9. Hübler, Michael & Voigt, Sebastian & Löschel, Andreas, 2014. "Designing an emissions trading scheme for China—An up-to-date climate policy assessment," Energy Policy, Elsevier, vol. 75(C), pages 57-72.
    10. Goulder, Lawrence H. & Summers, Lawrence H., 1989. "Tax policy, asset prices, and growth : A general equilibrium analysis," Journal of Public Economics, Elsevier, vol. 38(3), pages 265-296, April.
    11. Robert Küster & ingo Ellersdorfer & Ulrich Fahl, 2007. "A CGE-Analysis of Energy Policies Considering Labor Market Imperfections and Technology Specifications," Working Papers 2007.7, Fondazione Eni Enrico Mattei.
    12. Zhang, Xu & Qi, Tian-yu & Ou, Xun-min & Zhang, Xi-liang, 2017. "The role of multi-region integrated emissions trading scheme: A computable general equilibrium analysis," Applied Energy, Elsevier, vol. 185(P2), pages 1860-1868.
    13. Kuik, Onno & Mulder, Machiel, 2004. "Emissions trading and competitiveness: pros and cons of relative and absolute schemes," Energy Policy, Elsevier, vol. 32(6), pages 737-745, April.
    14. Feng, Zhen-Hua & Zou, Le-Le & Wei, Yi-Ming, 2011. "Carbon price volatility: Evidence from EU ETS," Applied Energy, Elsevier, vol. 88(3), pages 590-598, March.
    15. Zhou, P. & Zhang, L. & Zhou, D.Q. & Xia, W.J., 2013. "Modeling economic performance of interprovincial CO2 emission reduction quota trading in China," Applied Energy, Elsevier, vol. 112(C), pages 1518-1528.
    16. Lin Yang & Yunfei Yao & Jiutian Zhang & Xian Zhang & Karl McAlinden, 2016. "A CGE analysis of carbon market impact on CO 2 emission reduction in China: a technology-led approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 1107-1128, March.
    17. Sue Wing, Ian, 2008. "The synthesis of bottom-up and top-down approaches to climate policy modeling: Electric power technology detail in a social accounting framework," Energy Economics, Elsevier, vol. 30(2), pages 547-573, March.
    18. Zetterberg, Lars, 2014. "Benchmarking in the European Union Emissions Trading System: Abatement incentives," Energy Economics, Elsevier, vol. 43(C), pages 218-224.
    19. Lin Yang & Yunfei Yao & Jiutian Zhang & Xian Zhang & Karl J. McAlinden, 2016. "A CGE analysis of carbon market impact on CO2 emission reduction in China: a technology-led approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 1107-1128, March.
    20. Jeffrey C Peters, 2016. "The GTAP-Power Data Base: Disaggregating the Electricity Sector in the GTAP Data Base," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 1(1), pages 209-250, June.
    21. Ying Fan & Xu Wang, 2014. "Which Sectors Should Be Included in the Ets in the Context of a Unified Carbon Market in China?," Energy & Environment, , vol. 25(3-4), pages 613-634, April.
    22. Céline Guivarch & Renaud Crassous & Olivier Sassi & Stéphane Hallegatte, 2011. "The costs of climate policies in a second-best world with labour market imperfections," Climate Policy, Taylor & Francis Journals, vol. 11(1), pages 768-788, January.
    23. Åsa Johansson & Yvan Guillemette & Fabrice Murtin & David Turner & Giuseppe Nicoletti & Christine de la Maisonneuve & Philip Bagnoli & Guillaume Bousquet & Francesca Spinelli, 2013. "Long-Term Growth Scenarios," OECD Economics Department Working Papers 1000, OECD Publishing.
    24. Lawrence H. Summers, 1981. "Taxation and Corporate Investment: A q-Theory Approach," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 12(1), pages 67-140.
    25. Qi, Tianyu & Winchester, Niven & Karplus, Valerie J. & Zhang, Da & Zhang, Xiliang, 2016. "An analysis of China's climate policy using the China-in-Global Energy Model," Economic Modelling, Elsevier, vol. 52(PB), pages 650-660.
    26. Li, Wei & Jia, Zhijie, 2016. "The impact of emission trading scheme and the ratio of free quota: A dynamic recursive CGE model in China," Applied Energy, Elsevier, vol. 174(C), pages 1-14.
    27. Jiang, Jingjing & Xie, Dejun & Ye, Bin & Shen, Bo & Chen, Zhanming, 2016. "Research on China’s cap-and-trade carbon emission trading scheme: Overview and outlook," Applied Energy, Elsevier, vol. 178(C), pages 902-917.
    28. Dai, Hancheng & Xie, Xuxuan & Xie, Yang & Liu, Jian & Masui, Toshihiko, 2016. "Green growth: The economic impacts of large-scale renewable energy development in China," Applied Energy, Elsevier, vol. 162(C), pages 435-449.
    29. Hong, Taehoon & Koo, Choongwan & Lee, Sungug, 2014. "Benchmarks as a tool for free allocation through comparison with similar projects: Focused on multi-family housing complex," Applied Energy, Elsevier, vol. 114(C), pages 663-675.
    30. Li, Ji Feng & Wang, Xin & Zhang, Ya Xiong & Kou, Qin, 2014. "The economic impact of carbon pricing with regulated electricity prices in China—An application of a computable general equilibrium approach," Energy Policy, Elsevier, vol. 75(C), pages 46-56.
    31. Qi, Tianyu & Weng, Yuyan, 2016. "Economic impacts of an international carbon market in achieving the INDC targets," Energy, Elsevier, vol. 109(C), pages 886-893.
    32. Wei Li & Hao Li & Shuang Sun, 2015. "China’s Low-Carbon Scenario Analysis of CO 2 Mitigation Measures towards 2050 Using a Hybrid AIM/CGE Model," Energies, MDPI, vol. 8(5), pages 1-27, April.
    33. Wang, Ke & Wang, Can & Chen, Jining, 2009. "Analysis of the economic impact of different Chinese climate policy options based on a CGE model incorporating endogenous technological change," Energy Policy, Elsevier, vol. 37(8), pages 2930-2940, August.
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