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Has China’s Pilot Emissions Trading Scheme Influenced the Carbon Intensity of Output?

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  • Kangkang Zhang

    (Research Center of Resource and Environment Economics, Mineral Resource Strategy and Policy Research Center, China University of Geosciences, Wuhan 430074, China
    School of Economics and Management, China University of Geosciences, Wuhan 430074, China)

  • Deyi Xu

    (Research Center of Resource and Environment Economics, Mineral Resource Strategy and Policy Research Center, China University of Geosciences, Wuhan 430074, China
    School of Economics and Management, China University of Geosciences, Wuhan 430074, China)

  • Shiran Li

    (School of Economics and Management, China University of Geosciences, Wuhan 430074, China)

  • Na Zhou

    (Research Center of Resource and Environment Economics, Mineral Resource Strategy and Policy Research Center, China University of Geosciences, Wuhan 430074, China
    School of Economics and Management, China University of Geosciences, Wuhan 430074, China)

  • Jinhui Xiong

    (Research Center of Resource and Environment Economics, Mineral Resource Strategy and Policy Research Center, China University of Geosciences, Wuhan 430074, China
    School of Economics and Management, China University of Geosciences, Wuhan 430074, China)

Abstract

China launched the pilot construction of the carbon emission trading scheme (ETS) in 2011. The pilots have been running for many years. Does ETS significantly restrain the increase of carbon emission intensity? Based on China’s panel data for provinces and industries, this paper uses the policy assessment method to evaluate the inhibition by ETS of carbon emission intensity. The assessment scope includes six provincial pilots and pilot industries covered by ETS. The results show that ETS has significant suppression of carbon emission intensity only in Beijing and Guangdong. There is no significant impact on the carbon emission intensity of Tianjin, Shanghai, Chongqing, and Hubei. Through the carbon emission intensity inhibition analysis of the industries covered by ETS from Beijing and Chongqing, the results of the production and supply of electric power, steam and hot water, petroleum processing and coking in Beijing have a significant impact on the ETS. Only the smelting and pressing of ferrous metals in Chongqing has a significant impact on the ETS.

Suggested Citation

  • Kangkang Zhang & Deyi Xu & Shiran Li & Na Zhou & Jinhui Xiong, 2019. "Has China’s Pilot Emissions Trading Scheme Influenced the Carbon Intensity of Output?," IJERPH, MDPI, vol. 16(10), pages 1-18, May.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:10:p:1854-:d:234316
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    References listed on IDEAS

    as
    1. Munnings, Clayton & Morgenstern, Richard D. & Wang, Zhongmin & Liu, Xu, 2016. "Assessing the design of three carbon trading pilot programs in China," Energy Policy, Elsevier, vol. 96(C), pages 688-699.
    2. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    3. Jiang, Minxing & Zhu, Bangzhu & Wei, Yi-Ming & Chevallier, Julien & He, Kaijian, 2018. "An intertemporal carbon emissions trading system with cap adjustment and path control," Energy Policy, Elsevier, vol. 122(C), pages 152-161.
    4. Xiong, Ling & Shen, Bo & Qi, Shaozhou & Price, Lynn & Ye, Bin, 2017. "The allowance mechanism of China’s carbon trading pilots: A comparative analysis with schemes in EU and California," Applied Energy, Elsevier, vol. 185(P2), pages 1849-1859.
    5. Xu, Yiqing, 2017. "Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models," Political Analysis, Cambridge University Press, vol. 25(1), pages 57-76, January.
    6. Daskalakis, George, 2013. "On the efficiency of the European carbon market: New evidence from Phase II," Energy Policy, Elsevier, vol. 54(C), pages 369-375.
    7. Gottinger, Hans W., 1998. "Greenhouse Gas Economics and Computable General Equilibrium," Journal of Policy Modeling, Elsevier, vol. 20(5), pages 537-580, October.
    8. Diaz-Rainey, Ivan & Tulloch, Daniel J., 2018. "Carbon pricing and system linking: Lessons from the New Zealand Emissions Trading Scheme," Energy Economics, Elsevier, vol. 73(C), pages 66-79.
    9. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    10. Seifert, Jan & Uhrig-Homburg, Marliese & Wagner, Michael, 2008. "Dynamic behavior of CO2 spot prices," Journal of Environmental Economics and Management, Elsevier, vol. 56(2), pages 180-194, September.
    11. Zhao, Yibing & Wang, Can & Sun, Yuwei & Liu, Xianbing, 2018. "Factors influencing companies' willingness to pay for carbon emissions: Emission trading schemes in China," Energy Economics, Elsevier, vol. 75(C), pages 357-367.
    12. Chang, Kai & Zhang, Chao, 2018. "Asymmetric dependence structure between emissions allowances and wholesale diesel/gasoline prices in emerging China's emissions trading scheme pilots," Energy, Elsevier, vol. 164(C), pages 124-136.
    13. Zhang, Lirong & Li, Yakun & Jia, Zhijie, 2018. "Impact of carbon allowance allocation on power industry in China’s carbon trading market: Computable general equilibrium based analysis," Applied Energy, Elsevier, vol. 229(C), pages 814-827.
    14. 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.
    15. 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.
    16. Montagnoli, Alberto & de Vries, Frans P., 2010. "Carbon trading thickness and market efficiency," Energy Economics, Elsevier, vol. 32(6), pages 1331-1336, November.
    17. 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.
    18. Garbaccio, Richard F. & Ho, Mun S. & Jorgenson, Dale W., 1999. "Controlling carbon emissions in China," Environment and Development Economics, Cambridge University Press, vol. 4(4), pages 493-518, October.
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    2. Di Zhou & Xiaoyu Liang & Ye Zhou & Kai Tang, 2020. "Does Emission Trading Boost Carbon Productivity? Evidence from China’s Pilot Emission Trading Scheme," IJERPH, MDPI, vol. 17(15), pages 1-16, July.

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