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Regional efforts to mitigate climate change in China: A multi-criteria assessment approach

Author

Listed:
  • Zhi-Fu Mi
  • Yi-Ming Wei

    (Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology)

  • Chen-Qi He
  • Hua-Nan Li
  • Xiao-Chen Yuan
  • Hua Liao

Abstract

The task of mitigating climate change is usually allocated through administrative regions. In order to put pressure on regions that perform poorly in mitigating climate change and highlight regions with best-practice climate policies, this study explored a method to assess regional efforts on climate change mitigation at the sub-national level. A climate change mitigation index (CCMI) was developed with 15 objective indicators, which were divided into four categories, namely, emissions, efficiency, non-fossil energy, and climate policy. The indicators¡¯ current level and recent development were measured for the first three categories. The index was applied to assess China¡¯s provincial performance in climate protection based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. Empirical results show that the middle Yangtze River area and southern coastal area perform better than other areas in mitigating climate change. The average performance of the northwest area in China is the worst. In addition, climate change mitigation performance has a negative linear correlation with energy self-sufficiency ratio but does not have a significant linear correlation with social development level. Therefore, regional resource endowments should be paid much more attention in terms of mitigating climate change, because regions with good resource endowments in China tend to perform poorly.

Suggested Citation

  • Zhi-Fu Mi & Yi-Ming Wei & Chen-Qi He & Hua-Nan Li & Xiao-Chen Yuan & Hua Liao, 2014. "Regional efforts to mitigate climate change in China: A multi-criteria assessment approach," CEEP-BIT Working Papers 77, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  • Handle: RePEc:biw:wpaper:77
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    Cited by:

    1. Chen, Hao & Tang, Bao-Jun & Liao, Hua & Wei, Yi-Ming, 2016. "A multi-period power generation planning model incorporating the non-carbon external costs: A case study of China," Applied Energy, Elsevier, vol. 183(C), pages 1333-1345.
    2. Xin Li & Xiandan Cui & Minxi Wang, 2017. "Analysis of China’s Carbon Emissions Base on Carbon Flow in Four Main Sectors: 2000–2013," Sustainability, MDPI, vol. 9(4), pages 1-13, April.
    3. Sun, Jiasen & Li, Guo & Wang, Zhaohua, 2018. "Optimizing China’s energy consumption structure under energy and carbon constraints," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 57-72.
    4. Yiqirui Deng & Mengyu Chen & Yujie Hu, 2025. "Assessment of Shallow Geothermal Development Potential Based on the Entropy Weight TOPSIS Method—A Case Study of Guizhou Province," Sustainability, MDPI, vol. 17(10), pages 1-21, May.
    5. Xie, Pinjie & Guo, Weinan & Lin, Xinyi & Shu, Yalin & Sun, Feihu & Huang, Bin, 2025. "Study on the measurement of interprovincial carbon emission performance, regional gaps, and spatial convergence in China," Energy, Elsevier, vol. 317(C).
    6. Dongxu Chen & Xiaoying Chang & Tao Hong & Tao Ma, 2023. "Domestic Regional Synergy in Achieving National Climate Goals—The Role of Comparative Advantage in Emission Reduction," Land, MDPI, vol. 12(9), pages 1-23, September.
    7. Da Huang & Mei Han, 2021. "Research on Evaluation Method of Freight Transportation Environmental Sustainability," Sustainability, MDPI, vol. 13(5), pages 1-13, March.
    8. Huang, Jian-Bai & Luo, Yu-Mei & Feng, Chao, 2019. "An overview of carbon dioxide emissions from China's ferrous metal industry: 1991-2030," Resources Policy, Elsevier, vol. 62(C), pages 541-549.
    9. Elia A Machado & Samuel Ratick, 2018. "Implications of indicator aggregation methods for global change vulnerability reduction efforts," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(7), pages 1109-1141, October.
    10. Zhang, Wei & Wang, Nan, 2021. "Decomposition of energy intensity in Chinese industries using an extended LMDI method of production element endowment," Energy, Elsevier, vol. 221(C).
    11. Mi, Zhifu & Zheng, Jiali & Meng, Jing & Zheng, Heran & Li, Xian & Coffman, D'Maris & Woltjer, Johan & Wang, Shouyang & Guan, Dabo, 2019. "Carbon emissions of cities from a consumption-based perspective," Applied Energy, Elsevier, vol. 235(C), pages 509-518.
    12. Franciely Velozo Aragão & Daiane Maria de Genaro Chiroli & Fernanda Cavicchioli Zola & Emanuely Velozo Aragão & Luis Henrique Nogueira Marinho & Ana Lidia Cascales Correa & João Carlos Colmenero, 2023. "Smart Cities Maturity Model—A Multicriteria Approach," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    13. Li Chen & Bin Jiang & Chuan Wang, 2023. "Climate change and urban total factor productivity: evidence from capital cities and municipalities in China," Empirical Economics, Springer, vol. 65(1), pages 401-441, July.
    14. Fu, Yupeng & Huang, Guohe & Zhai, Mengyu & Su, Shuai, 2025. "Factorial enviro-economic equilibrium analysis for the effects of hierarchical carbon policy on China's socio-economic and environmental systems," Energy, Elsevier, vol. 320(C).
    15. Zhi-Fu Mi & Yi-Ming Wei & Bing Wang & Jing Meng & Zhu Liu & Yuli Shan & Jingru Liu & Dabo Guan, 2017. "Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030," CEEP-BIT Working Papers 103, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    16. Xinlin Zhang & Yuan Zhao & Qi Sun & Changjian Wang, 2017. "Decomposition and Attribution Analysis of Industrial Carbon Intensity Changes in Xinjiang, China," Sustainability, MDPI, vol. 9(3), pages 1-16, March.
    17. Bing Wang & Hua-Nan Li & Xiao-Chen Yuan & Zhen-Ming Sun, 2017. "Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model," Energies, MDPI, vol. 10(12), pages 1-14, November.
    18. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-Cui & Han, Rong & Yu, Bi-Ying & Wang, Jin-Wei, 2020. "Energy systems for climate change mitigation: A systematic review," Applied Energy, Elsevier, vol. 263(C).
    19. Jing-Li Fan & Jian-Da Wang & Ling-Si Kong & Xian Zhang, 2018. "The carbon footprints of secondary industry in China: an input–output subsystem analysis," 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(2), pages 635-657, March.
    20. Boqiang Lin & Weisheng Liu, 2017. "Scenario Prediction of Energy Consumption and CO 2 Emissions in China’s Machinery Industry," Sustainability, MDPI, vol. 9(1), pages 1-18, January.
    21. Wang, Miao & Feng, Chao, 2018. "Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China," Energy Economics, Elsevier, vol. 76(C), pages 101-114.
    22. Li, Kai & Qi, Shouzhou & Shi, Xunpeng, 2023. "Environmental policies and low-carbon industrial upgrading: Heterogenous effects among policies, sectors, and technologies in China," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    23. Jin-Wei Wang & Hua Liao & Bao-Jun Tang & Ruo-Yu Ke & Yi-Ming Wei, 2017. "Is the CO2 Emissions Reduction from Scale Change, Structural Change or Technology Change? Evidence from Non-metallic Sector of 11 Major Economies in 1995-2009," CEEP-BIT Working Papers 101, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    24. Qunli Wu & Chenyang Peng, 2016. "Scenario Analysis of Carbon Emissions of China’s Electric Power Industry Up to 2030," Energies, MDPI, vol. 9(12), pages 1-18, November.

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    Keywords

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    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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