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The Potential Gains from Carbon Emissions Trading in China’s Industrial Sectors

Author

Listed:
  • Yanni Yu

    (Jinan University
    Jinan University)

  • Weijie Zhang

    (Jinan University)

  • Ning Zhang

    (Jinan University)

Abstract

The command and control mechanism and the market trading mechanism have been adopted by Chinese government to reduce the industrial carbon emissions. Concerns have arisen over which policy is more effective and what are the potential gains from carbon emissions trading for industrial sectors. A Data Envelopment Analysis based linear programming technology is used to compare the industrial potential gains including both the economic potential gains and the environmental potential gains from the command and control and carbon emissions trading mechanisms. An empirical study containing the data set of 38 sub-industries in China from 2006–2014 is conducted. The empirical results show that the carbon emissions trading mechanism can produce more potential gains compared with the command and control mechanism, with an average of 69.6 and 92.0% economic potential gains and 49.1 and 21.0% environmental potential gains in terms of the overall level and industrial level, respectively. Additionally, the environmental potential gains of each sub-industry can provide theoretical support for the emission quotas allocation. Finally, several policy implications based on the empirical results are proposed.

Suggested Citation

  • Yanni Yu & Weijie Zhang & Ning Zhang, 2018. "The Potential Gains from Carbon Emissions Trading in China’s Industrial Sectors," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1175-1194, December.
    • Handle: RePEc:kap:compec:v:52:y:2018:i:4:d:10.1007_s10614-017-9724-2
    DOI: 10.1007/s10614-017-9724-2
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    1. Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2016. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," Omega, Elsevier, vol. 63(C), pages 48-59.
    2. Teng, Fei & Wang, Xin & Zhiqiang, LV, 2014. "Introducing the emissions trading system to China’s electricity sector: Challenges and opportunities," Energy Policy, Elsevier, vol. 75(C), pages 39-45.
    3. Li Chen & Boyu Zhang & Hanping Hou & Alfred Taudes, 2013. "Impact Study of Carbon Trading Market to Highway Freight Company in China," Springer Books, in: Feng Chen & Yisheng Liu & Guowei Hua (ed.), Ltlgb 2012, edition 127, chapter 0, pages 347-353, Springer.
    4. 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.
    5. Zhang, Xu & Qi, Tian-yu & Ou, Xun-min & Zhang, Xi-liang, 2017. "The role of multi-region integrated emissions trading scheme: A computable general equilibrium analysis," Applied Energy, Elsevier, vol. 185(P2), pages 1860-1868.
    6. Zhang, Ning & Wang, Bing & Liu, Zhu, 2016. "Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors," Energy, Elsevier, vol. 99(C), pages 10-19.
    7. 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.
    8. Wu, Libo & Tang, Weiqi, 2015. "Efficiency or Equity? Simulating the Carbon Emission Permits Trading Schemes in China Based on an Inter-Regional CGE Model," Working Papers 249509, Australian National University, Centre for Climate Economics & Policy.
    9. Zhang, Cheng & Wang, Qunwei & Shi, Dan & Li, Pengfei & Cai, Wanhuan, 2016. "Scenario-based potential effects of carbon trading in China: An integrated approach," Applied Energy, Elsevier, vol. 182(C), pages 177-190.
    10. Zhang, Ning & Wang, Bing & Chen, Zhongfei, 2016. "Carbon emissions reductions and technology gaps in the world's factory, 1990–2012," Energy Policy, Elsevier, vol. 91(C), pages 28-37.
    11. Wang, Peng & Dai, Han-cheng & Ren, Song-yan & Zhao, Dai-qing & Masui, Toshihiko, 2015. "Achieving Copenhagen target through carbon emission trading: Economic impacts assessment in Guangdong Province of China," Energy, Elsevier, vol. 79(C), pages 212-227.
    12. Yu, Shiwei & Agbemabiese, Lawrence & Zhang, Junjie, 2016. "Estimating the carbon abatement potential of economic sectors in China," Applied Energy, Elsevier, vol. 165(C), pages 107-118.
    13. Wang, Ke & Wei, Yi-Ming, 2014. "China’s regional industrial energy efficiency and carbon emissions abatement costs," Applied Energy, Elsevier, vol. 130(C), pages 617-631.
    14. Lee, Myunghun & Zhang, Ning, 2012. "Technical efficiency, shadow price of carbon dioxide emissions, and substitutability for energy in the Chinese manufacturing industries," Energy Economics, Elsevier, vol. 34(5), pages 1492-1497.
    15. Färe, Rolf & Grosskopf, Shawna & Pasurka,, Carl A., 2013. "Tradable permits and unrealized gains from trade," Energy Economics, Elsevier, vol. 40(C), pages 416-424.
    16. 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.
    17. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2014. "Potential gains from trading bad outputs: The case of U.S. electric power plants," Resource and Energy Economics, Elsevier, vol. 36(1), pages 99-112.
    18. Ning Zhang & Fanbin Kong & Chih-Chun Kung, 2015. "On Modeling Environmental Production Characteristics: A Slacks-Based Measure for China’s Poyang Lake Ecological Economics Zone," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 389-404, October.
    19. 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.
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    Cited by:

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    4. Li Xie & Chunlin Chen & Yihua Yu, 2019. "Dynamic Assessment of Environmental Efficiency in Chinese Industry: A Multiple DEA Model with a Gini Criterion Approach," Sustainability, MDPI, vol. 11(8), pages 1-22, April.

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