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Dual Substitution of Rural Energy Structure in China: Its Evolutionary Characteristics and Carbon Decoupling Effects

Author

Listed:
  • Chuang Liu

    (School of Economics and Management, Northeast Petroleum University, Daqing 163318, China)

  • Hengshuo Zhang

    (School of Economics and Management, Northeast Petroleum University, Daqing 163318, China)

  • Bing Yan

    (School of Humanities and Sciences, Northeast Petroleum University, Daqing 163318, China)

  • Xuesheng Qian

    (School of Management, Fudan University, Shanghai 200443, China)

Abstract

Accelerating the transformation of the rural energy structure is an indispensable part of energy transformation in developing countries. In this novel study, the transformation effect of China’s rural energy structure from 2001 to 2020 was evaluated. Further, this paper also identified the decoupling state between the rural energy structure transition and carbon emissions, and decomposed the spatial–temporal effects of rural carbon decoupling through efficiency measures. According to the survey, the dual substitution index of the rural energy structure in China increased from 0.466 to 1.828, and showed a decreasing trend in spatial distribution from the east to the central and western regions. Economic development and climate characteristics have become important influencing factors for the dual substitution of the rural energy structure. The decoupling relationship between the dual substitution of the rural energy structure and carbon emissions was mainly characterized in the strong decoupling, expansion negative decoupling, and strong negative decoupling states. Regional imbalances have deepened as the efficiency of rural energy carbon decoupling has gradually increased. The annual average efficiency of rural energy carbon decoupling in a dynamic perspective has increased by 10.579%, and the dual substitution of the energy structure has a significant driving effect on rural carbon reduction.

Suggested Citation

  • Chuang Liu & Hengshuo Zhang & Bing Yan & Xuesheng Qian, 2024. "Dual Substitution of Rural Energy Structure in China: Its Evolutionary Characteristics and Carbon Decoupling Effects," Sustainability, MDPI, vol. 16(9), pages 1-19, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3732-:d:1385803
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    References listed on IDEAS

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    1. Xiaoxia Liang & Yi Shi & Yan Li, 2023. "Research on the Yellow River Basin Energy Structure Transformation Path under the “Double Carbon” Goal," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    2. Kortelainen, Mika, 2008. "Dynamic environmental performance analysis: A Malmquist index approach," Ecological Economics, Elsevier, vol. 64(4), pages 701-715, February.
    3. Wang, Qunwei & Hang, Ye & Zhou, P. & Wang, Yizhong, 2016. "Decoupling and attribution analysis of industrial carbon emissions in Taiwan," Energy, Elsevier, vol. 113(C), pages 728-738.
    4. Ji, Qiang & Zhang, Dayong, 2019. "How much does financial development contribute to renewable energy growth and upgrading of energy structure in China?," Energy Policy, Elsevier, vol. 128(C), pages 114-124.
    5. Fang, Guochang & Chen, Gang & Yang, Kun & Yin, Weijun & Tian, Lixin, 2023. "Can green tax policy promote China's energy transformation?— A nonlinear analysis from production and consumption perspectives," Energy, Elsevier, vol. 269(C).
    6. Keho, Yaya, 2016. "What drives energy consumption in developing countries? The experience of selected African countries," Energy Policy, Elsevier, vol. 91(C), pages 233-246.
    7. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    8. Merk, Christine & Rehdanz, Katrin & Schröder, Carsten, 2019. "How consumers trade off supply security and green electricity: Evidence from Germany and Great Britain," Energy Economics, Elsevier, vol. 84(S1).
    9. Marco Steinacher & Fortunat Joos & Thomas F. Stocker, 2013. "Allowable carbon emissions lowered by multiple climate targets," Nature, Nature, vol. 499(7457), pages 197-201, July.
    10. Liu, Fengqi & Kang, Yuxin & Guo, Kun, 2022. "Is electricity consumption of Chinese counties decoupled from carbon emissions? A study based on Tapio decoupling index," Energy, Elsevier, vol. 251(C).
    11. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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