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The Dynamics of Energy-Related Carbon Emissions and Their Influencing Factors in the Yangtze River Delta, China

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  • Xiang’er Li

    (School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)

  • Jiajun Gong

    (School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)

  • Xuan Ni

    (School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)

  • Zhiyi Zheng

    (School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)

  • Qingshan Zhao

    (School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)

  • Yi’na Hu

    (School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
    Yangtze River Delta Urban Wetland Ecosystem National Field Scientific Observation and Research Station, Shanghai 201722, China)

Abstract

Chinese cities are pursuing an energy transition to decouple energy-related carbon emissions (ERCEs) from economic growth. Despite numerous studies focusing on the factors influencing carbon emissions, few have quantitatively analyzed their respective contribution rates, thus leaving a gap in effectively guiding policies. This study took 16 cities in the Yangtze River Delta (YRD) as the study area. The decoupling between ERCEs and economic growth was analyzed during 2000–2020, and the contribution rates of different factors were explored. The results showed that the total ERCEs increased from 413.40 million to 1265.86 million tons during 2000–2020, increasing by over three times. Coal and oil were the dominant energy sources in most cities, but natural gas consumption increased from 0.15% to 5.96%. Moreover, 14 cities showed a decoupling status, indicating a certain win–win situation between economic growth and ERCE reduction. Economic growth greatly increased ERCEs, with its contribution rate ranging from 114.65% to 493.27% during 2000–2020. On the contrary, energy structure and energy intensity both contributed to reducing ERCEs in most cities, and their maximum contribution rates reached −32.29% and −449.13%, respectively, which were the main forces for the win–win situation. Finally, carbon reduction proposals are put forward, which provide theoretical support for achieving the “Double Carbon” goal in the YRD.

Suggested Citation

  • Xiang’er Li & Jiajun Gong & Xuan Ni & Zhiyi Zheng & Qingshan Zhao & Yi’na Hu, 2024. "The Dynamics of Energy-Related Carbon Emissions and Their Influencing Factors in the Yangtze River Delta, China," Energies, MDPI, vol. 17(12), pages 1-14, June.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:12:p:2875-:d:1413081
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    References listed on IDEAS

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    1. Shuai, Chenyang & Shen, Liyin & Jiao, Liudan & Wu, Ya & Tan, Yongtao, 2017. "Identifying key impact factors on carbon emission: Evidences from panel and time-series data of 125 countries from 1990 to 2011," Applied Energy, Elsevier, vol. 187(C), pages 310-325.
    2. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    3. Taewook Huh, 2020. "Comparative and Relational Trajectory of Economic Growth and Greenhouse Gas Emission: Coupled or Decoupled?," Energies, MDPI, vol. 13(10), pages 1-13, May.
    4. Neil Strachan & Tim Foxon & Junichi Fujino, 2008. "Policy implications from the Low-Carbon Society (LCS) modelling project," Climate Policy, Taylor & Francis Journals, vol. 8(sup1), pages 17-29, December.
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