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How would an emissions trading scheme affect provincial economies in China: Insights from a computable general equilibrium model

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  • Pang, Jun
  • Timilsina, Govinda

Abstract

This paper analyzes the economic impacts of a national emissions trading scheme in 31 Chinese provinces. The emissions trading system is assumed to accomplish China's emissions reduction targets set under the Paris Climate Agreement. A multi-regional, multi-sectoral, recursive-dynamic computable general equilibrium model is developed for the analysis. The results show that the emissions trading scheme would reduce provincial CO2 emissions by 4%–22% relative to the baseline levels in 2030. It would cause the provincial GDP to change from −4.6% to 1.8% relative to the 2030 baseline levels. The magnitudes of the impacts on provincial economies and CO2 emissions are sensitive to initial emissions allocation rules. Some provinces that face GDP loss under one rule of emissions allocation would experience GDP gains under the other rules, and vice versa. However, emissions-intensive provincial economies—Neimenggu, Ningxia, Shanxi, and Shaanxi—are found to experience higher GDP loss irrespective of the allowance allocation rules. Meanwhile, Fujian, Guangdong, Guangxi, and Liaoning are found to experience higher GDP under all the rules of allowances allocation.

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  • Pang, Jun & Timilsina, Govinda, 2021. "How would an emissions trading scheme affect provincial economies in China: Insights from a computable general equilibrium model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
  • Handle: RePEc:eee:rensus:v:145:y:2021:i:c:s1364032121003245
    DOI: 10.1016/j.rser.2021.111034
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    1. Zhongxiang Zhang, 2015. "Carbon emissions trading in China: the evolution from pilots to a nationwide scheme," Climate Policy, Taylor & Francis Journals, vol. 15(sup1), pages 104-126, December.
    2. 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.
    3. Bao, Qin & Tang, Ling & Zhang, ZhongXiang & Wang, Shouyang, 2013. "Impacts of border carbon adjustments on China's sectoral emissions: Simulations with a dynamic computable general equilibrium model," China Economic Review, Elsevier, vol. 24(C), pages 77-94.
    4. Jie Wu & Ying Fan & Yan Xia, 2017. "How Can China Achieve Its Nationally Determined Contribution Targets Combining Emissions Trading Scheme and Renewable Energy Policies?," Energies, MDPI, vol. 10(8), pages 1-20, August.
    5. Jin, Yana & Liu, Xiaorui & Chen, Xiang & Dai, Hancheng, 2020. "Allowance allocation matters in China's carbon emissions trading system," Energy Economics, Elsevier, vol. 92(C).
    6. Pang,Jun & Timilsina,Govinda R., 2019. "Implications for Provincial Economies of Meeting China's NDC through an Emission Trading Scheme : A Regional CGE Modeling Analysis," Policy Research Working Paper Series 8909, The World Bank.
    7. ZhongXiang Zhang, 1998. "The Economics of Energy Policy in China," Books, Edward Elgar Publishing, number 1291.
    8. Liu, Yu & Tan, Xiu-Jie & Yu, Yang & Qi, Shao-Zhou, 2017. "Assessment of impacts of Hubei Pilot emission trading schemes in China – A CGE-analysis using TermCO2 model," Applied Energy, Elsevier, vol. 189(C), pages 762-769.
    9. R. H. Coase, 2013. "The Problem of Social Cost," Journal of Law and Economics, University of Chicago Press, vol. 56(4), pages 837-877.
    10. Mu, Yaqian & Wang, Can & Cai, Wenjia, 2018. "The economic impact of China's INDC: Distinguishing the roles of the renewable energy quota and the carbon market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2955-2966.
    11. Govinda R. Timilsina & Jing Cao & Mun Ho, 2018. "Carbon Tax For Achieving China’S Ndc: Simulations Of Some Design Features Using A Cge Model," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 9(03), pages 1-17, August.
    12. Tang, Ling & Wu, Jiaqian & Yu, Lean & Bao, Qin, 2015. "Carbon emissions trading scheme exploration in China: A multi-agent-based model," Energy Policy, Elsevier, vol. 81(C), pages 152-169.
    13. Timilsina,Govinda R. & Pang,Jun & Yang,Xi, 2019. "Linking Top-Down and Bottom-UP Models for Climate Policy Analysis : The Case of China," Policy Research Working Paper Series 8905, The World Bank.
    14. Cao, Jing & Ho, Mun S. & Jorgenson, Dale W. & Nielsen, Chris P., 2019. "China's emissions trading system and an ETS-carbon tax hybrid," Energy Economics, Elsevier, vol. 81(C), pages 741-753.
    15. Böhringer, Christoph & Dijkstra, Bouwe & Rosendahl, Knut Einar, 2014. "Sectoral and regional expansion of emissions trading," Resource and Energy Economics, Elsevier, vol. 37(C), pages 201-225.
    16. 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.
    17. Zhang, Da & Karplus, Valerie J. & Cassisa, Cyril & Zhang, Xiliang, 2014. "Emissions trading in China: Progress and prospects," Energy Policy, Elsevier, vol. 75(C), pages 9-16.
    18. Lin, Boqiang & Jia, Zhijie, 2019. "What will China's carbon emission trading market affect with only electricity sector involvement? A CGE based study," Energy Economics, Elsevier, vol. 78(C), pages 301-311.
    19. 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.
    20. Alan S. Manne & Richard G. Richels, 1990. "CO2 Emission Limits: An Economic Cost Analysis for the USA," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 51-74.
    21. Mingwei Li & Da Zhang & Chiao-Ting Li & Kathleen M. Mulvaney & Noelle E. Selin & Valerie J. Karplus, 2018. "Air quality co-benefits of carbon pricing in China," Nature Climate Change, Nature, vol. 8(5), pages 398-403, May.
    22. 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.
    23. Dai, Hancheng & Xie, Yang & Liu, Jingyu & Masui, Toshihiko, 2018. "Aligning renewable energy targets with carbon emissions trading to achieve China's INDCs: A general equilibrium assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4121-4131.
    24. Liu, Zhiqing & Geng, Yong & Dai, Hancheng & Wilson, Jeffrey & Xie, Yang & Wu, Rui & You, Wei & Yu, Zhongjue, 2018. "Regional impacts of launching national carbon emissions trading market: A case study of Shanghai," Applied Energy, Elsevier, vol. 230(C), pages 232-240.
    25. Lawrence H. Goulder & Richard D. Morgenstern & Clayton Munnings & Jeremy Schreifels, 2017. "Chinas National Carbon Dioxide Emission Trading System: An Introduction," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    26. Tao Pang & Maosheng Duan, 2016. "Cap setting and allowance allocation in China's emissions trading pilot programmes: special issues and innovative solutions," Climate Policy, Taylor & Francis Journals, vol. 16(7), pages 815-835, October.
    27. Cui, Lian-Biao & Fan, Ying & Zhu, Lei & Bi, Qing-Hua, 2014. "How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target?," Applied Energy, Elsevier, vol. 136(C), pages 1043-1052.
    28. Lin, Boqiang & Jia, Zhijie, 2017. "The impact of Emission Trading Scheme (ETS) and the choice of coverage industry in ETS: A case study in China," Applied Energy, Elsevier, vol. 205(C), pages 1512-1527.
    29. Zhu, Lei & Zhang, Xiao-Bing & Li, Yuan & Wang, Xu & Guo, Jianxin, 2017. "Can an emission trading scheme promote the withdrawal of outdated capacity in energy-intensive sectors? A case study on China's iron and steel industry," Energy Economics, Elsevier, vol. 63(C), pages 332-347.
    30. Wu, Libo & Qian, Haoqi & Li, Jin, 2014. "Advancing the experiment to reality: Perspectives on Shanghai pilot carbon emissions trading scheme," Energy Policy, Elsevier, vol. 75(C), pages 22-30.
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    3. Wu, Jie & Fan, Ying & Timilsina, Govinda & Xia, Yan, 2022. "Exploiting Complementarity of Carbon Pricing Instruments for Low-Carbon Development in the People’s Republic of China," ADBI Working Papers 1329, Asian Development Bank Institute.
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    7. Jin-Feng Zhou & Juan Wu & Wei Chen & Dan Wu, 2022. "Carbon Emission Reduction Cost Assessment Using Multiregional Computable General Equilibrium Model: Guangdong–Hong Kong–Macao Greater Bay Area," Sustainability, MDPI, vol. 14(17), pages 1-26, August.
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    9. Shangjia Wang & Wenhui Zhao & Shuwen Fan & Lei Xue & Zijuan Huang & Zhigang Liu, 2022. "Is the Renewable Portfolio Standard in China Effective? Research on RPS Allocation Efficiency in Chinese Provinces Based on the Zero-Sum DEA Model," Energies, MDPI, vol. 15(11), pages 1-18, May.
    10. Fang Wan & Jizu Li, 2023. "Responsibility Allocation of Provincial Industry Emission Reduction from the Perspective of Industrial Linkages—A Case Study of Shanxi Province," Sustainability, MDPI, vol. 15(12), pages 1-14, June.
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