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Is emission trading scheme an opportunity for renewable energy in China? A perspective of ETS revenue redistributions

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  • Lin, Boqiang
  • Jia, Zhijie

Abstract

Emission Trading Scheme (ETS) and renewable energy generation are emission reduction methods in most countries in the world. However, few studies have focused on the impact of ETS on renewable energy. The question is, can carbon trading promote renewable energy generation? This paper first analyzes different distribution strategies of ETS revenue by applying dynamic recursive computable general equilibrium model with multi-sectors. Practical scenarios and better options of distribution of ETS revenue by a comprehensive evaluation based on entropy weight method are proposed. The results show that ETS with no subsidy to renewable will reduce the demand for energy, increase the cost of renewable energy sources and decrease the generation. ETS will be the spring of renewable energy generation when most of the revenue is used for all kinds of renewable energy sources, instead of some of them. The growth of renewable energy generation is also substantial. It is necessary that a small portion of ETS revenue should be used to subsidize residents to reduce the gap between the rich and the poor. If this income is used for government investment and consumption, it will also help to mitigate economic losses, which is caused by the direction of investment by the Chinese government.

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  • Lin, Boqiang & Jia, Zhijie, 2020. "Is emission trading scheme an opportunity for renewable energy in China? A perspective of ETS revenue redistributions," Applied Energy, Elsevier, vol. 263(C).
    • Handle: RePEc:eee:appene:v:263:y:2020:i:c:s0306261920301173
    DOI: 10.1016/j.apenergy.2020.114605
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    1. Choi, Yongrok & Liu, Yu & Lee, Hyoungseok, 2017. "The economy impacts of Korean ETS with an emphasis on sectoral coverage based on a CGE approach," Energy Policy, Elsevier, vol. 109(C), pages 835-844.
    2. 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.
    3. 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.
    4. Koch, Nicolas & Fuss, Sabine & Grosjean, Godefroy & Edenhofer, Ottmar, 2014. "Causes of the EU ETS price drop: Recession, CDM, renewable policies or a bit of everything?—New evidence," Energy Policy, Elsevier, vol. 73(C), pages 676-685.
    5. Jose Apesteguia & Miguel A. Ballester, 2015. "A Measure of Rationality and Welfare," Journal of Political Economy, University of Chicago Press, vol. 123(6), pages 1278-1310.
    6. Lehmann, Paul & Gawel, Erik, 2013. "Why should support schemes for renewable electricity complement the EU emissions trading scheme?," Energy Policy, Elsevier, vol. 52(C), pages 597-607.
    7. Saboori, Behnaz & Sulaiman, Jamalludin, 2013. "Environmental degradation, economic growth and energy consumption: Evidence of the environmental Kuznets curve in Malaysia," Energy Policy, Elsevier, vol. 60(C), pages 892-905.
    8. Gawel, Erik & Strunz, Sebastian & Lehmann, Paul, 2014. "A public choice view on the climate and energy policy mix in the EU — How do the emissions trading scheme and support for renewable energies interact?," Energy Policy, Elsevier, vol. 64(C), pages 175-182.
    9. Shimei Wu & Xinye Zheng & Chu Wei, 2017. "Measurement of inequality using household energy consumption data in rural China," Nature Energy, Nature, vol. 2(10), pages 795-803, October.
    10. Aune, Margrethe & Godbolt, Åsne Lund & Sørensen, Knut H. & Ryghaug, Marianne & Karlstrøm, Henrik & Næss, Robert, 2016. "Concerned consumption. Global warming changing household domestication of energy," Energy Policy, Elsevier, vol. 98(C), pages 290-297.
    11. Wang, Zhaoxia & Zhao, Jing & Li, Meng, 2017. "Analysis and optimization of carbon trading mechanism for renewable energy application in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 435-451.
    12. Michael Mehling & Erik Haites, 2009. "Mechanisms for linking emissions trading schemes," Climate Policy, Taylor & Francis Journals, vol. 9(2), pages 169-184, January.
    13. Wang, H. & Ang, B.W., 2018. "Assessing the role of international trade in global CO2 emissions: An index decomposition analysis approach," Applied Energy, Elsevier, vol. 218(C), pages 146-158.
    14. Kirsten, Selder, 2014. "Renewable Energy Sources Act and Trading of Emission Certificates: A national and a supranational tool direct energy turnover to renewable electricity-supply in Germany," Energy Policy, Elsevier, vol. 64(C), pages 302-312.
    15. Michael Grubb, 2012. "Cap and trade finds new energy," Nature, Nature, vol. 491(7426), pages 666-667, November.
    16. Lin, Boqiang & Jia, Zhijie, 2018. "Impact of quota decline scheme of emission trading in China: A dynamic recursive CGE model," Energy, Elsevier, vol. 149(C), pages 190-203.
    17. Massiani, Jérôme, 2018. "Assessing the economic impact of mega events using Computable General Equilibrium models: Promises and compromises," Economic Modelling, Elsevier, vol. 75(C), pages 1-9.
    18. Bao, Xiongjiantao & Zhao, Wenhui & Wang, Xiaomei & Tan, Zhongfu, 2019. "Impact of policy mix concerning renewable portfolio standards and emissions trading on electricity market," Renewable Energy, Elsevier, vol. 135(C), pages 761-774.
    19. Wang, Xu & Zhu, Lei & Fan, Ying, 2018. "Transaction costs, market structure and efficient coverage of emissions trading scheme: A microlevel study from the pilots in China," Applied Energy, Elsevier, vol. 220(C), pages 657-671.
    20. Ju, Yiyi & Fujikawa, Kiyoshi, 2019. "Modeling the cost transmission mechanism of the emission trading scheme in China," Applied Energy, Elsevier, vol. 236(C), pages 172-182.
    21. Fraser, Iain & Waschik, Robert, 2013. "The Double Dividend hypothesis in a CGE model: Specific factors and the carbon base," Energy Economics, Elsevier, vol. 39(C), pages 283-295.
    22. Bird, Lori A. & Holt, Edward & Levenstein Carroll, Ghita, 2008. "Implications of carbon cap-and-trade for US voluntary renewable energy markets," Energy Policy, Elsevier, vol. 36(6), pages 2063-2073, June.
    23. Lin, Boqiang & Jia, Zhijie, 2019. "Impacts of carbon price level in carbon emission trading market," Applied Energy, Elsevier, vol. 239(C), pages 157-170.
    24. Jarke, Johannes & Perino, Grischa, 2017. "Do renewable energy policies reduce carbon emissions? On caps and inter-industry leakage," Journal of Environmental Economics and Management, Elsevier, vol. 84(C), pages 102-124.
    25. Birgit Fais & Markus Blesl & Ulrich Fahl & Alfred Voß, 2015. "Analysing the interaction between emission trading and renewable electricity support in TIMES," Climate Policy, Taylor & Francis Journals, vol. 15(3), pages 355-373, May.
    26. 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.
    27. 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.
    28. 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.
    29. Huimin Bi & Hao Xiao & Kejuan Sun, 2019. "The Impact of Carbon Market and Carbon Tax on Green Growth Pathway in China: A Dynamic CGE Model Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(6), pages 1312-1325, May.
    30. Nobuhiro Hosoe & Kenji Gasawa & Hideo Hashimoto, 2010. "Textbook of Computable General Equilibrium Modelling," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-28165-3.
    31. Xian, Yujiao & Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2019. "Would China’s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," Applied Energy, Elsevier, vol. 235(C), pages 978-986.
    32. Möst, Dominik & Fichtner, Wolf, 2010. "Renewable energy sources in European energy supply and interactions with emission trading," Energy Policy, Elsevier, vol. 38(6), pages 2898-2910, June.
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