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Economic structural change, renewable energy development, and carbon dioxide emissions in China

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  • Xuemei Jiang

    (Capital University of Economics and Business)

  • Huijuan Wang

    (Central University of Finance and Economics)

  • Yan Xia

    (Chinese Academy of Science)

Abstract

As the world’s largest emitter, China’s reduction of carbon dioxide (CO2) emissions is crucial for the achievement of global temperature rise goals. In this paper, we employed input-output structural decomposition analysis and index decomposition analysis to assess the factors driving changes in China’s CO2 emissions from 2000 to 2018, with particular attention to the role of renewable energy development. Our results indicate that the slowdown of economic growth and rapid structural change, rather than the shifting fuel mix, were the major forces driving China’s recent slowdown of CO2 emissions ever since 2011. Despite the great importance attached to renewable energy development, non-hydro renewable has played negligible role in reducing China’s CO2 emissions. This suggests that China cannot simply rely on the large-scale development of renewable energies to achieve its Paris 2015 target and must make further drastic cuts that will help keep global temperature rise well below 2 °C above pre-industrial level. Major breakthroughs in scalable low carbon energy sources and technologies will be required, especially in the developing world.

Suggested Citation

  • Xuemei Jiang & Huijuan Wang & Yan Xia, 2020. "Economic structural change, renewable energy development, and carbon dioxide emissions in China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1345-1362, October.
    • Handle: RePEc:spr:masfgc:v:25:y:2020:i:7:d:10.1007_s11027-020-09921-6
    DOI: 10.1007/s11027-020-09921-6
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    Cited by:

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    3. Li, Xuetao & Wang, Feilan & Al-Razgan, Muna & Mahrous Awwad, Emad & Zilola Abduvaxitovna, Shamansurova & Li, Zeyun & Li, Jianfeng, 2023. "Race to environmental sustainability: Can structural change, economic expansion and natural resource consumption effect environmental sustainability? A novel dynamic ARDL simulations approach," Resources Policy, Elsevier, vol. 86(PA).
    4. Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2021. "A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions," Renewable Energy, Elsevier, vol. 167(C), pages 99-115.
    5. Lee, Chi-Chuan & Zhang, Jian & Hou, Shanshuai, 2023. "The impact of regional renewable energy development on environmental sustainability in China," Resources Policy, Elsevier, vol. 80(C).

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    CO2 emissions; Structural change; Renewable energy; China;
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