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Carbon dioxide emission reduction quota allocation study on Chinese provinces based on two-stage Shapley information entropy model

Author

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  • Kejia Yang

    (China University of Geosciences
    Ministry of Land and Resource)

  • Yalin Lei

    (China University of Geosciences
    Ministry of Land and Resource)

  • Weiming Chen

    (China University of Geosciences
    Ministry of Land and Resource)

  • Lingna Liu

    (China University of Geosciences
    Ministry of Land and Resource)

Abstract

Chinese central government made a commitment to achieve a 40–45% reduction in carbon dioxide (CO2) per unit of GDP by 2020 compared with 2005. This targeted reduction was allocated averagely among all the provinces rather than individually according to different situations of each province. Though some research has been done regarding this rough allocation, two shortcomings in previous studies exist: Firstly, CO2 marginal abatement cost (MAC) has been ignored as one of the CO2 emission reduction allocation indexes. Secondly, either subjective or objective method has been used rather than comprehensively of both subjective and objective method to calculate the weight of each index in the previous studies. In order to fill the gaps, this paper builds a two-stage Shapley information entropy model to allocate CO2 emission reduction quota among the Chinese provinces based on the equity and efficiency principles. Afterward, three CO2 emission reduction quota allocation scenarios have been proposed. The results show that the CO2 MAC is an indispensable index in CO2 emission reduction quota allocation, because its value of CO2 Shapley information entropy is the highest among five indexes. CO2 emission reduction quota of lower-MAC provinces should be allocated larger, while the quota of higher-MAC provinces should be allocated smaller. Therefore, two suggested policies have been proposed: First, differential CO2 emission reduction quota allocation should be proposed. Second, synergetic development should be promoted.

Suggested Citation

  • Kejia Yang & Yalin Lei & Weiming Chen & Lingna Liu, 2018. "Carbon dioxide emission reduction quota allocation study on Chinese provinces based on two-stage Shapley information entropy model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(1), pages 321-335, March.
  • Handle: RePEc:spr:nathaz:v:91:y:2018:i:1:d:10.1007_s11069-017-3129-3
    DOI: 10.1007/s11069-017-3129-3
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    as
    1. Matsushita, Kyohei & Yamane, Fumihiro, 2012. "Pollution from the electric power sector in Japan and efficient pollution reduction," Energy Economics, Elsevier, vol. 34(4), pages 1124-1130.
    2. Yu, Shiwei & Wei, Yi-Ming & Wang, Ke, 2014. "Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition," Energy Policy, Elsevier, vol. 66(C), pages 630-644.
    3. Rose, Adam & Stevens, Brandt, 1993. "The efficiency and equity of marketable permits for CO2 emissions," Resource and Energy Economics, Elsevier, vol. 15(1), pages 117-146, March.
    4. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    5. Zhou, P. & Sun, Z.R. & Zhou, D.Q., 2014. "Optimal path for controlling CO2 emissions in China: A perspective of efficiency analysis," Energy Economics, Elsevier, vol. 45(C), pages 99-110.
    6. Welsch, Heinz, 1993. "A CO2 agreement proposal with flexible quotas," Energy Policy, Elsevier, vol. 21(7), pages 748-756, July.
    7. Miketa, Asami & Schrattenholzer, Leo, 2006. "Equity implications of two burden-sharing rules for stabilizing greenhouse-gas concentrations," Energy Policy, Elsevier, vol. 34(7), pages 877-891, May.
    8. Garg, Amit & Shukla, P.R. & Maheshwari, Jyoti & Upadhyay, Jigeesha, 2014. "An assessment of household electricity load curves and corresponding CO2 marginal abatement cost curves for Gujarat state, India," Energy Policy, Elsevier, vol. 66(C), pages 568-584.
    9. Yi, Wen-Jing & Zou, Le-Le & Guo, Jie & Wang, Kai & Wei, Yi-Ming, 2011. "How can China reach its CO2 intensity reduction targets by 2020? A regional allocation based on equity and development," Energy Policy, Elsevier, vol. 39(5), pages 2407-2415, May.
    10. Adam Rose & Zhong Zhang, 2004. "Interregional burden-sharing of greenhouse gas mitigation in the United States," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 9(4), pages 477-500, October.
    11. Xia, X.H. & Chen, G.Q., 2012. "Energy abatement in Chinese industry: Cost evaluation of regulation strategies and allocation alternatives," Energy Policy, Elsevier, vol. 45(C), pages 449-458.
    12. Ferng, Jiun-Jiun, 2003. "Allocating the responsibility of CO2 over-emissions from the perspectives of benefit principle and ecological deficit," Ecological Economics, Elsevier, vol. 46(1), pages 121-141, August.
    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. Phylipsen, G J M & Bode, J W & Blok, K & Merkus, H & Metz, B, 1998. "A Triptych sectoral approach to burden differentiation; GHG emissions in the European bubble," Energy Policy, Elsevier, vol. 26(12), pages 929-943, October.
    15. Yanan Chen & Sheng Lin, 2015. "Decomposition and allocation of energy-related carbon dioxide emission allowance over provinces of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(3), pages 1893-1909, April.
    16. 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.
    17. Bastianoni, Simone & Pulselli, Federico Maria & Tiezzi, Enzo, 2004. "The problem of assigning responsibility for greenhouse gas emissions," Ecological Economics, Elsevier, vol. 49(3), pages 253-257, July.
    18. Chen, Wenying & Wu, Zongxin & He, Jiankun & Gao, Pengfei & Xu, Shaofeng, 2007. "Carbon emission control strategies for China: A comparative study with partial and general equilibrium versions of the China MARKAL model," Energy, Elsevier, vol. 32(1), pages 59-72.
    19. Adam Rose & Brandt Stevens & Jae Edmonds & Marshall Wise, 1998. "International Equity and Differentiation in Global Warming Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 12(1), pages 25-51, July.
    20. Gupta, Sujata & M Bhandari, Preety, 1999. "An effective allocation criterion for CO2 emissions," Energy Policy, Elsevier, vol. 27(12), pages 727-736, November.
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