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Research on Carbon Emission Characteristics and Differentiated Carbon Reduction Pathways in the Yangtze River Delta Region Based on the STIRPAT Model

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  • Kerong Jian

    (School of Economics and Management, Guangxi University of Science and Technology, Liuzhou 545006, China
    Guangxi Research Center for High-Quality Industry Development, Liuzhou 545006, China)

  • Ruyun Shi

    (School of Economics and Management, Guangxi University of Science and Technology, Liuzhou 545006, China)

  • Yixue Zhang

    (School of Economics and Management, Guangxi University of Science and Technology, Liuzhou 545006, China)

  • Zhigao Liao

    (School of Economics and Management, Guangxi University of Science and Technology, Liuzhou 545006, China
    Guangxi Research Center for High-Quality Industry Development, Liuzhou 545006, China)

Abstract

With the changes in the spatial structure of China’s economic development, urban clusters have become the primary carriers of China’s regional economy and green growth. We used annual data from 2010 to 2021 to study the carbon emission characteristics and carbon reduction pathways of 36 cities in the Yangtze River Delta region. Firstly, based on the decoupling elasticity coefficient and carbon intensity index, the researchers divided the cities in the Yangtze River Delta into six types of carbon emissions. Then, the STIRPAT model was used to regress the panel data of different carbon emission types for 11 years, analyze the driving factors of carbon emissions, and develop differentiated carbon emission reduction paths for cities with six carbon emission types. According to the results, the cities of Type I need to accelerate low-carbon technology innovation; the cities of Type II need to improve energy efficiency and strengthen low-carbon technology research and development; the cities of Type V need to suppress foreign investment in high-energy consumption and high-emission projects in the local area; the cities of Type VI need to accelerate the process of new urbanization and optimize industrial structure. However, the researchers found that the cities of Types III and IV have not yet received effective emission reduction pathways, and their emission reduction policies and measures need to be further studied.

Suggested Citation

  • Kerong Jian & Ruyun Shi & Yixue Zhang & Zhigao Liao, 2023. "Research on Carbon Emission Characteristics and Differentiated Carbon Reduction Pathways in the Yangtze River Delta Region Based on the STIRPAT Model," Sustainability, MDPI, vol. 15(21), pages 1-18, November.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15659-:d:1274883
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    References listed on IDEAS

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    1. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    2. Zhang, Chuanguo & Lin, Yan, 2012. "Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China," Energy Policy, Elsevier, vol. 49(C), pages 488-498.
    3. Cheng, Zhonghua & Li, Lianshui & Liu, Jun, 2018. "Industrial structure, technical progress and carbon intensity in China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2935-2946.
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    Cited by:

    1. Pin Chen & Xiyue Wang & Zexia Yang & Changfeng Shi, 2024. "Research on Spatial Heterogeneity, Impact Mechanism, and Carbon Peak Prediction of Carbon Emissions in the Yangtze River Delta Urban Agglomeration," Energies, MDPI, vol. 17(23), pages 1-20, November.
    2. Xuelian Zhu & Jianan Che & Xiaogeng Niu & Nannan Cao & Guofeng Zhang, 2025. "Optimization of Carbon Emission Reduction Path in the Beijing–Tianjin–Hebei Region Based on System Dynamics," Sustainability, MDPI, vol. 17(4), pages 1-24, February.

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