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The impact of emission trading scheme and the ratio of free quota: A dynamic recursive CGE model in China

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  • Li, Wei
  • Jia, Zhijie

Abstract

To cope with global warming, China has promulgated Enhanced actions on climate change: China’s intended nationally determined contributions and will start the national carbon emissions trading market in 2017. Carbon emissions are distributed by the form of free quota and paid quota. However, few literatures have focused on how the economy and the environment would be changed by the change of free quota ratio. This paper establishes the 10 scenarios of different free quota ratio of carbon emissions rights and uses a dynamic, recursive computable general equilibrium (CGE) model to simulate the carbon emissions trading market, to explore the relationship between free quota ratio and carbon trading price, and the impact of carbon trading scheme (ETS) on China’s economy and environment. The results show that free quota ratio will not have a direct impact on gross domestic product (GDP) and other economic and environment indicators but carbon trading prices. The prices and the rate of free payment in the current pilot cities in China are still relatively conservative. It is possible to reach emission peak, 8.21billion ton, in 2025 and accumulative CO2 reduction from 2017 to 2030 is 20.02billion tons, or 59.60% of 2010 world’s total CO2 emission. Cement, minerals, electricity and nonferrous metals under ETS will suffer great losses, so subsidy should be considered. Finally, we suggested that China should reduce the total carbon rights to increase the carbon price in 2017, and gradually reducing the proportion of free quota, from 90% in 2017 to 50% or less in 2030, by which the peak year of CO2 emission can meet in 2025. We also suggest that ETS is an effective strategy for CO2 reduction and the ratio should be gradually reduced in ETS to prevent violent fluctuation of carbon price in China.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:appene:v:174:y:2016:i:c:p:1-14
    DOI: 10.1016/j.apenergy.2016.04.086
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    1. Rypdal, Kristin & Rive, Nathan & Astrom, Stefan & Karvosenoja, Niko & Aunan, Kristin & Bak, Jesper L. & Kupiainen, Kaarle & Kukkonen, Jaakko, 2007. "Nordic air quality co-benefits from European post-2012 climate policies," Energy Policy, Elsevier, vol. 35(12), pages 6309-6322, December.
    2. Branger, Frédéric & Quirion, Philippe, 2014. "Would border carbon adjustments prevent carbon leakage and heavy industry competitiveness losses? Insights from a meta-analysis of recent economic studies," Ecological Economics, Elsevier, vol. 99(C), pages 29-39.
    3. Zhang, Yue-Jun & Wei, Yi-Ming, 2010. "An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect," Applied Energy, Elsevier, vol. 87(6), pages 1804-1814, June.
    4. Eugenia Sanin, María & Violante, Francesco & Mansanet-Bataller, María, 2015. "Understanding volatility dynamics in the EU-ETS market," Energy Policy, Elsevier, vol. 82(C), pages 321-331.
    5. Turner, Karen & Munday, Max & McGregor, Peter & Swales, Kim, 2012. "How responsible is a region for its carbon emissions? An empirical general equilibrium analysis," Ecological Economics, Elsevier, vol. 76(C), pages 70-78.
    6. Thepkhun, Panida & Limmeechokchai, Bundit & Fujimori, Shinichiro & Masui, Toshihiko & Shrestha, Ram M., 2013. "Thailand's Low-Carbon Scenario 2050: The AIM/CGE analyses of CO2 mitigation measures," Energy Policy, Elsevier, vol. 62(C), pages 561-572.
    7. 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.
    8. Jacoby, Henry D. & Reilly, John M. & McFarland, James R. & Paltsev, Sergey, 2006. "Technology and technical change in the MIT EPPA model," Energy Economics, Elsevier, vol. 28(5-6), pages 610-631, November.
    9. Kara, M. & Syri, S. & Lehtila, A. & Helynen, S. & Kekkonen, V. & Ruska, M. & Forsstrom, J., 2008. "The impacts of EU CO2 emissions trading on electricity markets and electricity consumers in Finland," Energy Economics, Elsevier, vol. 30(2), pages 193-211, March.
    10. Carlos Benavides & Luis Gonzales & Manuel Diaz & Rodrigo Fuentes & Gonzalo García & Rodrigo Palma-Behnke & Catalina Ravizza, 2015. "The Impact of a Carbon Tax on the Chilean Electricity Generation Sector," Energies, MDPI, vol. 8(4), pages 1-27, April.
    11. Kumar, Subhash, 2016. "Assessment of renewables for energy security and carbon mitigation in Southeast Asia: The case of Indonesia and Thailand," Applied Energy, Elsevier, vol. 163(C), pages 63-70.
    12. Liu, Yu & Lu, Yingying, 2015. "The Economic impact of different carbon tax revenue recycling schemes in China: A model-based scenario analysis," Applied Energy, Elsevier, vol. 141(C), pages 96-105.
    13. Cheng, Beibei & Dai, Hancheng & Wang, Peng & Xie, Yang & Chen, Li & Zhao, Daiqing & Masui, Toshihiko, 2016. "Impacts of low-carbon power policy on carbon mitigation in Guangdong Province, China," Energy Policy, Elsevier, vol. 88(C), pages 515-527.
    14. 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.
    15. Cummins, Mark, 2013. "EU ETS market interactions: The case for multiple hypothesis testing approaches," Applied Energy, Elsevier, vol. 111(C), pages 701-709.
    16. Chang, Kai & Chang, Hao, 2016. "Cutting CO2 intensity targets of interprovincial emissions trading in China," Applied Energy, Elsevier, vol. 163(C), pages 211-221.
    17. Mahmood, Arshad & Marpaung, Charles O.P., 2014. "Carbon pricing and energy efficiency improvement -- why to miss the interaction for developing economies? An illustrative CGE based application to the Pakistan case," Energy Policy, Elsevier, vol. 67(C), pages 87-103.
    18. Crossland, Jarrod & Li, Bin & Roca, Eduardo, 2013. "Is the European Union Emissions Trading Scheme (EU ETS) informationally efficient? Evidence from momentum-based trading strategies," Applied Energy, Elsevier, vol. 109(C), pages 10-23.
    19. Yongxiu He & Yangyang Liu & Tian Xia & Min Du & Hongzhen Guo, 2014. "The Optimal Price Ratio of Typical Energy Sources in Beijing Based on the Computable General Equilibrium Model," Energies, MDPI, vol. 7(5), pages 1-24, April.
    20. Dai, Hancheng & Masui, Toshihiko & Matsuoka, Yuzuru & Fujimori, Shinichiro, 2011. "Assessment of China's climate commitment and non-fossil energy plan towards 2020 using hybrid AIM/CGE model," Energy Policy, Elsevier, vol. 39(5), pages 2875-2887, May.
    21. Fujimori, Shinichiro & Masui, Toshihiko & Matsuoka, Yuzuru, 2014. "Development of a global computable general equilibrium model coupled with detailed energy end-use technology," Applied Energy, Elsevier, vol. 128(C), pages 296-306.
    22. 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.
    23. van Ruijven, Bas J. & Weitzel, Matthias & den Elzen, Michel G.J. & Hof, Andries F. & van Vuuren, Detlef P. & Peterson, Sonja & Narita, Daiju, 2012. "Emission allowances and mitigation costs of China and India resulting from different effort-sharing approaches," Energy Policy, Elsevier, vol. 46(C), pages 116-134.
    24. Dai, Hancheng & Masui, Toshihiko & Matsuoka, Yuzuru & Fujimori, Shinichiro, 2012. "The impacts of China’s household consumption expenditure patterns on energy demand and carbon emissions towards 2050," Energy Policy, Elsevier, vol. 50(C), pages 736-750.
    25. Richstein, Jörn C. & Chappin, Émile J.L. & de Vries, Laurens J., 2015. "Adjusting the CO2 cap to subsidised RES generation: Can CO2 prices be decoupled from renewable policy?," Applied Energy, Elsevier, vol. 156(C), pages 693-702.
    26. Alton, Theresa & Arndt, Channing & Davies, Rob & Hartley, Faaiqa & Makrelov, Konstantin & Thurlow, James & Ubogu, Dumebi, 2014. "Introducing carbon taxes in South Africa," Applied Energy, Elsevier, vol. 116(C), pages 344-354.
    27. Tian Wu & Mengbo Zhang & Xunmin Ou, 2014. "Analysis of Future Vehicle Energy Demand in China Based on a Gompertz Function Method and Computable General Equilibrium Model," Energies, MDPI, vol. 7(11), pages 1-29, November.
    28. McFarland, J. R. & Reilly, J. M. & Herzog, H. J., 2004. "Representing energy technologies in top-down economic models using bottom-up information," Energy Economics, Elsevier, vol. 26(4), pages 685-707, July.
    29. Bowen Xiao & Dongxiao Niu & Xiaodan Guo & Xiaomin Xu, 2015. "The Impacts of Environmental Tax in China: A Dynamic Recursive Multi-Sector CGE Model," Energies, MDPI, vol. 8(8), pages 1-28, July.
    30. Rive, Nathan, 2010. "Climate policy in Western Europe and avoided costs of air pollution control," Economic Modelling, Elsevier, vol. 27(1), pages 103-115, January.
    31. Dong, Huijuan & Dai, Hancheng & Dong, Liang & Fujita, Tsuyoshi & Geng, Yong & Klimont, Zbigniew & Inoue, Tsuyoshi & Bunya, Shintaro & Fujii, Minoru & Masui, Toshihiko, 2015. "Pursuing air pollutant co-benefits of CO2 mitigation in China: A provincial leveled analysis," Applied Energy, Elsevier, vol. 144(C), pages 165-174.
    32. 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.
    33. 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.
    34. Carlos Benavides & Luis Gonzales & Manuel Diaz & Rodrigo Fuentes & Gonzalo García & Rodrigo Palma-Behnke & Catalina Ravizza, 2015. "Correction: The Impact of a Carbon Tax on the Chilean Electricity Generation Sector," Energies, MDPI, vol. 8(6), pages 1-2, June.
    35. Fais, Birgit & Sabio, Nagore & Strachan, Neil, 2016. "The critical role of the industrial sector in reaching long-term emission reduction, energy efficiency and renewable targets," Applied Energy, Elsevier, vol. 162(C), pages 699-712.
    36. Chatzizacharia, Kalliopi & Benekis, Vasilis & Hatziavramidis, Dimitris, 2016. "A blueprint for an energy policy in Greece with considerations of climate change," Applied Energy, Elsevier, vol. 162(C), pages 382-389.
    37. Goto, Kazuya & Yogo, Katsunori & Higashii, Takayuki, 2013. "A review of efficiency penalty in a coal-fired power plant with post-combustion CO2 capture," Applied Energy, Elsevier, vol. 111(C), pages 710-720.
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