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Effect of Scale and Structure Changes of China’s High-Carbon Industries on Regional Carbon Emissions

Author

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  • Jing Liang

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Lingying Pan

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

Abstract

China’s carbon emissions have a stable industrial concentration. In recent years, the carbon emissions of the six major high-carbon industries have accounted for approximately 80% of the national total and are thus priority areas for emission reduction. With the promotion of energy-saving and emission-reduction policies, the structure and scale of high-carbon industries in various regions have undergone changes, but their carbon reduction effects show significant regional differences. Based on China’s provincial panel data from 2006 to 2020, this study discusses the structural characteristics of high-carbon industries with their proportion of energy-based industries and measures their scale characteristics with their output values. On this basis, a fixed-effects model is used to analyze the single and synergistic effects of the scale and structure of high-carbon industries on carbon emissions in each province. The results indicate that changes in the scale and structure of high-carbon industries significantly affect carbon emissions but show regional differences in both the single and synergistic effects. When considering these synergistic effects, the single effect of high-carbon industries on carbon emissions will be weakened. In regions with large-scale high-carbon industries, the increase in the proportion of energy-based industries significantly increases carbon emissions, but this effect gradually weakens as the overall scale expands. In areas with small-scale high-carbon industries, the increase in the proportion of energy-based industries has a relatively small effect on carbon emission growth that gradually increases with the overall scale. In addition, the implementation of the carbon emission trading policy has a significant moderating effect on the carbon emissions of high-carbon industries and strongly promotes its reduction.

Suggested Citation

  • Jing Liang & Lingying Pan, 2023. "Effect of Scale and Structure Changes of China’s High-Carbon Industries on Regional Carbon Emissions," Energies, MDPI, vol. 16(18), pages 1-17, September.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6676-:d:1242178
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    References listed on IDEAS

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    1. Du, Gang & Yu, Meng & Sun, Chuanwang & Han, Zhao, 2021. "Green innovation effect of emission trading policy on pilot areas and neighboring areas: An analysis based on the spatial econometric model," Energy Policy, Elsevier, vol. 156(C).
    2. Li, Shan & Liu, Jianjiang & Shi, Daqian, 2021. "The impact of emissions trading system on corporate energy efficiency: Evidence from a quasi-natural experiment in China," Energy, Elsevier, vol. 233(C).
    3. Chen, Changhua & Luo, Yuqing & Zou, Hong & Huang, Junbing, 2023. "Understanding the driving factors and finding the pathway to mitigating carbon emissions in China's Yangtze River Delta region," Energy, Elsevier, vol. 278(PB).
    4. Sultan Salem & Noman Arshed & Ahsan Anwar & Mubasher Iqbal & Nyla Sattar, 2021. "Renewable Energy Consumption and Carbon Emissions—Testing Nonlinearity for Highly Carbon Emitting Countries," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    5. Lingming Chen & Congjia Huo, 2021. "Impact of Green Innovation Efficiency on Carbon Emission Reduction in the Guangdong-Hong Kong-Macao GBA," Sustainability, MDPI, vol. 13(23), pages 1-22, December.
    6. Zhang, Shaobin & Shi, Baofeng & Ji, Hao, 2023. "How to decouple income growth from household carbon emissions: A perspective based on urban-rural differences in China," Energy Economics, Elsevier, vol. 125(C).
    7. Peng Fang, 2023. "Short-term carbon emission prediction method of green building based on IPAT model," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 45(1), pages 1-13.
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