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Regional and provincial CO2 emission reduction task decomposition of China's 2030 carbon emission peak based on the efficiency, equity and synthesizing principles

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  • Li, Yan
  • Wei, Yigang
  • Zhang, Xiaoling
  • Tao, Yuan

Abstract

China has promised to reduce 60–65% of its 2005 carbon emission per GDP unit in 2030. This study aims to decompose China's emission reduction task to regional and provincial levels according to efficiency, equity, and synthesizing principles, respectively, during 1996–2015. Results show the following: (1) Through the cluster analysis of eight indexes including shadow price, China's provinces can be divided into three sub-regions; (2) In regional level, Sub-region 2 should take the largest carbon reduction proportion, accounting for about 60%; Sub-region 3 and Sub-region 1 should take 30% and 10% respectively;(3) On provincial level, the provinces that account for more than 5% of carbon dioxide emission reduction task of China are Shandong (9.33%), Shanxi (8.83%), Hebei (7.56%), Jiangsu (6.90%), Sichuan (6.40%), Guangdong (5.23%), and Inner Mongolia (5.20%);(4) Considering the emission reduction costs, it is best to decompose tasks according to the equity principle in the provincial level.

Suggested Citation

  • Li, Yan & Wei, Yigang & Zhang, Xiaoling & Tao, Yuan, 2020. "Regional and provincial CO2 emission reduction task decomposition of China's 2030 carbon emission peak based on the efficiency, equity and synthesizing principles," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 237-256.
  • Handle: RePEc:eee:streco:v:53:y:2020:i:c:p:237-256
    DOI: 10.1016/j.strueco.2020.02.007
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    as
    1. Paule Stephenson & Jonathan Boston, 2010. "Climate change, equity and the relevance of European 'effort-sharing' for global mitigation efforts," Climate Policy, Taylor & Francis Journals, vol. 10(1), pages 3-16, January.
    2. 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.
    3. Muhammad Shahbaz & Smile Dube & Ilhan Ozturk & Abdul Jalil, 2015. "Testing the Environmental Kuznets Curve Hypothesis in Portugal," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 475-481.
    4. Li, Jia Shuo & Zhou, H.W. & Meng, Jing & Yang, Q. & Chen, B. & Zhang, Y.Y., 2018. "Carbon emissions and their drivers for a typical urban economy from multiple perspectives: A case analysis for Beijing city," Applied Energy, Elsevier, vol. 226(C), pages 1076-1086.
    5. 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.
    6. Böhringer, Christoph & Bortolamedi, Markus, 2015. "Sense and no(n)-sense of energy security indicators," Ecological Economics, Elsevier, vol. 119(C), pages 359-371.
    7. Islas, Jorge & Grande, Genice, 2008. "Abatement costs of SO2-control options in the Mexican electric-power sector," Applied Energy, Elsevier, vol. 85(2-3), pages 80-94, February.
    8. David Maradan & Anatoli Vassiliev, 2005. "Marginal Costs of Carbon Dioxide Abatement: Empirical Evidence from Cross-Country Analysis," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 141(III), pages 377-410, September.
    9. Yu, Shiwei & Zhang, Junjie & Zheng, Shuhong & Sun, Han, 2015. "Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method," Energy Policy, Elsevier, vol. 77(C), pages 46-55.
    10. Wu, F. & Fan, L.W. & Zhou, P. & Zhou, D.Q., 2012. "Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis," Energy Policy, Elsevier, vol. 49(C), pages 164-172.
    11. Hailu, Atakelty & Veeman, Terrence S., 2000. "Environmentally Sensitive Productivity Analysis of the Canadian Pulp and Paper Industry, 1959-1994: An Input Distance Function Approach," Journal of Environmental Economics and Management, Elsevier, vol. 40(3), pages 251-274, November.
    12. Becker, Randy A., 2005. "Air pollution abatement costs under the Clean Air Act: evidence from the PACE survey," Journal of Environmental Economics and Management, Elsevier, vol. 50(1), pages 144-169, July.
    13. Chen, Xu & Wang, Xiaojun, 2016. "Effects of carbon emission reduction policies on transportation mode selections with stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 196-205.
    14. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Allocation of emission permits for China’s power plants: A systemic Pareto optimal method," Applied Energy, Elsevier, vol. 204(C), pages 607-619.
    15. Klepper, Gernot & Peterson, Sonja, 2006. "Marginal abatement cost curves in general equilibrium: The influence of world energy prices," Resource and Energy Economics, Elsevier, vol. 28(1), pages 1-23, January.
    16. Fare, Rolf & Grosskopf, Shawna & Noh, Dong-Woon & Weber, William, 2005. "Characteristics of a polluting technology: theory and practice," Journal of Econometrics, Elsevier, vol. 126(2), pages 469-492, June.
    17. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2007. "Environmental production functions and environmental directional distance functions," Energy, Elsevier, vol. 32(7), pages 1055-1066.
    18. 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.
    19. Min Yang & Qingxian An & Tao Ding & Pengzhen Yin & Liang Liang, 2019. "Carbon emission allocation in China based on gradually efficiency improvement and emission reduction planning principle," Annals of Operations Research, Springer, vol. 278(1), pages 123-139, July.
    20. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    21. Yao, Xin & Zhou, Hongchen & Zhang, Aizhen & Li, Aijun, 2015. "Regional energy efficiency, carbon emission performance and technology gaps in China: A meta-frontier non-radial directional distance function analysis," Energy Policy, Elsevier, vol. 84(C), pages 142-154.
    22. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    23. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
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