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Influencing factors of the decoupling relationship between CO2 emission and economic development in China’s power industry

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  • Xie, Pinjie
  • Yang, Fan
  • Mu, Zhuowen
  • Gao, Shuangshuang

Abstract

Solving the resource and environmental constraints faced by China benefits from studies on the decoupling relationship between the power industry’s CO2 emissions and economic development. This study provides new ideas for economic development by measuring the decoupling index of CO2 emissions within the power industry from 1985 to 2017 based on the Tapio decoupling model. Next, this study determines the key influencing factors of the decoupling index in the long- and short-term based on the autoregressive distributed lag model. The results show that: (1) In the past 30 years, the relationship between CO2 emissions and economic development has exhibited synchronization within the power industry; the base for the decoupling state is expansive negative decoupling and weak decoupling, and the strong decoupling state has existed for only five years. (2) The estimation results for the long-term effect indicate that coal-fired power generation efficiency and terminal energy intensity can effectively reduce the decoupling index with a coefficient of 3.0422 and 2.4822, respectively. (3) The estimation results for the short-term effect imply that decreasing terminal energy intensity reduces the decoupling index the most followed by energy consumption, and the two show coefficients of 9.5986 and 2.6404, respectively. Based on this conclusion, the study provides some recommendations for policy design, collaborative emissions reduction, and low-carbon energy construction in China’s power industry.

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  • Xie, Pinjie & Yang, Fan & Mu, Zhuowen & Gao, Shuangshuang, 2020. "Influencing factors of the decoupling relationship between CO2 emission and economic development in China’s power industry," Energy, Elsevier, vol. 209(C).
    • Handle: RePEc:eee:energy:v:209:y:2020:i:c:s0360544220314481
    DOI: 10.1016/j.energy.2020.118341
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    3. Rabnawaz Khan, 2021. "Beta decoupling relationship between CO2 emissions by GDP, energy consumption, electricity production, value-added industries, and population in China," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-22, April.
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    7. Xie, Pinjie & Gong, Ningyu & Sun, Feihu & Li, Pin & Pan, Xianyou, 2023. "What factors contribute to the extent of decoupling economic growth and energy carbon emissions in China?," Energy Policy, Elsevier, vol. 173(C).
    8. Xian’en Wang & Tingyu Hu & Junnian Song & Haiyan Duan, 2022. "Tracking Key Industrial Sectors for CO 2 Mitigation through the Driving Effects: An Attribution Analysis," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    9. Yang, Jun & Hao, Yun & Feng, Chao, 2021. "A race between economic growth and carbon emissions: What play important roles towards global low-carbon development?," Energy Economics, Elsevier, vol. 100(C).
    10. Kaiming Zhong & Hongyan Fu & Tinghui Li, 2022. "Can the Digital Economy Facilitate Carbon Emissions Decoupling? An Empirical Study Based on Provincial Data in China," IJERPH, MDPI, vol. 19(11), pages 1-25, June.
    11. Pan, Xiongfeng & Guo, Shucen & Xu, Haitao & Tian, Mengyuan & Pan, Xianyou & Chu, Junhui, 2022. "China's carbon intensity factor decomposition and carbon emission decoupling analysis," Energy, Elsevier, vol. 239(PC).
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    13. Rong Li & Zi Chen & Junyong Xiang, 2023. "A region-scale decoupling effort analysis of carbon dioxide emissions from the perspective of electric power industry: a case study of China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(5), pages 4007-4032, May.
    14. Wang, Juan & Li, Ziming & Wu, Tong & Wu, Siyu & Yin, Tingwei, 2022. "The decoupling analysis of CO2 emissions from power generation in Chinese provincial power sector," Energy, Elsevier, vol. 255(C).

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