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Has China’s Emission Trading System Achieved the Development of a Low-Carbon Economy in High-Emission Industrial Subsectors?

Author

Listed:
  • Haoran Zhang

    (School of Economics and Management, Taiyuan University of Technology, Taiyuan 030024, China)

  • Rongxia Zhang

    (School of Economics and Management, Taiyuan University of Technology, Taiyuan 030024, China)

  • Guomin Li

    (School of Economics and Management, Taiyuan University of Technology, Taiyuan 030024, China)

  • Wei Li

    (School of Economics and Management, Taiyuan University of Technology, Taiyuan 030024, China)

  • Yongrok Choi

    (Department of International Trade, Inha University, Inharo100, Nam-gu, Incheon 402-751, Korea)

Abstract

An emission trading system (ETS) is a powerful emission reduction tool for achieving low-carbon economic development in the world. Focusing on the industrial subsectors, this paper comprehensively analyzes the environmental and economic effects of the pilot ETS in China from the perspectives of economic development, technological optimization, and innovation-driven development by using the propensity score matching–difference in differences (PSM-DID) model based on 2005–2017 provincial panel data. This paper compensates for the limitations of existing studies on the effects of ETS on different subsectors; furthermore, the triple difference model (DDD) model is used to discuss the impacts of differences in environmental responsibility and economic potential among subsectors on policy effects. The empirical results show that: (1) The pilot ETS produces a 14.5% carbon reduction effect on the covered subsectors while reducing GDP by 4.8% without achieving a low-carbon economy. Thus, production decline is the main reason for carbon emission reductions. (2) Economic development factors have significant positive impacts on carbon emissions, while technological optimization and innovation-driven development are key factors for achieving reductions in carbon emissions. (3) The pilot ETS produces a 60.1% carbon emission inhibition effect and 23.2% GDP inhibition effect on the subsectors with greater environmental responsibility. Therefore, the Chinese government should fully simulate the impact of technological innovation and utilize resource endowment differences in the environmental and economic aspects of different sectors to achieve low-carbon economic development.

Suggested Citation

  • Haoran Zhang & Rongxia Zhang & Guomin Li & Wei Li & Yongrok Choi, 2020. "Has China’s Emission Trading System Achieved the Development of a Low-Carbon Economy in High-Emission Industrial Subsectors?," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:13:p:5370-:d:379668
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    References listed on IDEAS

    as
    1. Chandran Govindaraju, V.G.R. & Tang, Chor Foon, 2013. "The dynamic links between CO2 emissions, economic growth and coal consumption in China and India," Applied Energy, Elsevier, vol. 104(C), pages 310-318.
    2. 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.
    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. Zhang, Zibin & Cai, Wenxin & Feng, Xiangzhao, 2017. "How do urban households in China respond to increasing block pricing in electricity? Evidence from a fuzzy regression discontinuity approach," Energy Policy, Elsevier, vol. 105(C), pages 161-172.
    5. Zhu, Bangzhu & Zhang, Mengfan & Huang, Liqing & Wang, Ping & Su, Bin & Wei, Yi-Ming, 2020. "Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach," Energy Economics, Elsevier, vol. 85(C).
    6. 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.
    7. Zhang, Yue-Jun & Liang, Ting & Jin, Yan-Lin & Shen, Bo, 2020. "The impact of carbon trading on economic output and carbon emissions reduction in China’s industrial sectors," Applied Energy, Elsevier, vol. 260(C).
    8. Wan, Shui-Ki & Xie, Yimeng & Hsiao, Cheng, 2018. "Panel data approach vs synthetic control method," Economics Letters, Elsevier, vol. 164(C), pages 121-123.
    9. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
    10. 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.
    11. Nong, Duy & Meng, Sam & Siriwardana, Mahinda, 2017. "An assessment of a proposed ETS in Australia by using the MONASH-Green model," Energy Policy, Elsevier, vol. 108(C), pages 281-291.
    12. Springer, Cecilia & Evans, Sam & Lin, Jiang & Roland-Holst, David, 2019. "Low carbon growth in China: The role of emissions trading in a transitioning economy," Applied Energy, Elsevier, vol. 235(C), pages 1118-1125.
    13. 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.
    14. Fan, Xinghua & Li, Xuxia & Yin, Jiuli & Tian, Lixin & Liang, Jiaochen, 2019. "Similarity and heterogeneity of price dynamics across China’s regional carbon markets: A visibility graph network approach," Applied Energy, Elsevier, vol. 235(C), pages 739-746.
    15. Wu, Yinyin & Wang, Ping & Liu, Xin & Chen, Jiandong & Song, Malin, 2020. "Analysis of regional carbon allocation and carbon trading based on net primary productivity in China," China Economic Review, Elsevier, vol. 60(C).
    16. Zhang, Weijie & Zhang, Ning & Yu, Yanni, 2019. "Carbon mitigation effects and potential cost savings from carbon emissions trading in China's regional industry," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 1-11.
    17. Nguyen, Dinh Hoa & Chapman, Andrew & Farabi-Asl, Hadi, 2019. "Nation-wide emission trading model for economically feasible carbon reduction in Japan," Applied Energy, Elsevier, vol. 255(C).
    18. Haoran Zhang & Rongxia Zhang & Guomin Li & Wei Li & Yongrok Choi, 2019. "Sustainable Feasibility of Carbon Trading Policy on Heterogenetic Economic and Industrial Development," Sustainability, MDPI, vol. 11(23), pages 1-18, December.
    19. Yue Dai & Nan Li & Rongrong Gu & Xiaodong Zhu, 2018. "Can China’s Carbon Emissions Trading Rights Mechanism Transform its Manufacturing Industry? Based on the Perspective of Enterprise Behavior," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    20. Jianguo Zhou & Yushuo Li & Xuejing Huo & Xiaolei Xu, 2019. "How to Allocate Carbon Emission Permits Among China’s Industrial Sectors Under the Constraint of Carbon Intensity?," Sustainability, MDPI, vol. 11(3), pages 1-21, February.
    21. 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.
    22. Sunak, Yasin & Madlener, Reinhard, 2016. "The impact of wind farm visibility on property values: A spatial difference-in-differences analysis," Energy Economics, Elsevier, vol. 55(C), pages 79-91.
    23. Zhang, Yue-Jun & Peng, Yu-Lu & Ma, Chao-Qun & Shen, Bo, 2017. "Can environmental innovation facilitate carbon emissions reduction? Evidence from China," Energy Policy, Elsevier, vol. 100(C), pages 18-28.
    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.
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