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Factors Influencing Carbon Emissions in High Carbon Industries in the Zhejiang Province and Decoupling Effect Analysis

Author

Listed:
  • Yong Xiao

    (School of Economics and Management, Shanghai University of Electric Power, Shanghai 201306, China)

  • Cheng Yong

    (School of Economics and Management, Shanghai University of Electric Power, Shanghai 201306, China)

  • Wei Hu

    (School of Economics and Management, Shanghai University of Electric Power, Shanghai 201306, China)

  • Hanyun Wang

    (State Grid Zhejiang Electric Power Co., Ltd., Huzhou Power Supply Company, Huzhou 313099, China)

Abstract

High-carbon emission industries are the most important source of carbon emissions in the Zhejiang Province. Due to the differences in the development level of various industries, it is necessary to adjust the carbon emission reduction strategies of various industries. As the first ecological province in China, the promotion of carbon emission reduction in high-carbon industries in the Zhejiang Province plays an important leading role in the development of low-carbon economy in other industries and other provinces in China. Taking eight high-carbon industries in Zhejiang Province as the research object, this paper uses the LMDI factor decomposition model to deconstruct the influencing factors and effects of carbon emissions in eight industries in the Zhejiang Province from 2010 to 2021. On this basis, the Tapio decoupling model is applied to study the reasons and driving factors of the decoupling between economic growth and carbon emissions. The results showed that: (1) During the study period, the total carbon emissions of eight industries in the Zhejiang Province increased by 24,312,200 t, showing an overall upward trend. (2) The effect of economic growth and population size led to the rapid growth of carbon emissions in eight industries in the Zhejiang Province, and the effect of energy intensity on carbon emission reduction was the most significant; the effect of industry structure presented a trend of first promoting and then inhibiting, and the effect of carbon emission coefficient always inhibited carbon emissions. (3) The population size has restricted decoupling efforts; energy intensity has the greatest impact on the realization of industry decoupling; energy structure and industry structure decoupling efforts are small; the carbon emission coefficient has always influenced decoupling efforts. This research paper will provide suggestions and policies for the development of low-carbon economy in Zhejiang Province.

Suggested Citation

  • Yong Xiao & Cheng Yong & Wei Hu & Hanyun Wang, 2023. "Factors Influencing Carbon Emissions in High Carbon Industries in the Zhejiang Province and Decoupling Effect Analysis," Sustainability, MDPI, vol. 15(22), pages 1-22, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:15975-:d:1280886
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    References listed on IDEAS

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    1. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Multiplicative structural decomposition analysis of energy and emission intensities: Some methodological issues," Energy, Elsevier, vol. 123(C), pages 47-63.
    2. Wang, Wenwen & Li, Man & Zhang, Ming, 2017. "Study on the changes of the decoupling indicator between energy-related CO2 emission and GDP in China," Energy, Elsevier, vol. 128(C), pages 11-18.
    3. Chen, Hao & Qi, Shaozhou & Zhang, Jihong, 2022. "Towards carbon neutrality with Chinese characteristics: From an integrated perspective of economic growth-equity-environment," Applied Energy, Elsevier, vol. 324(C).
    4. Runde Gu & Chunfa Li & Dongdong Li & Yangyang Yang & Shan Gu, 2022. "The Impact of Rationalization and Upgrading of Industrial Structure on Carbon Emissions in the Beijing-Tianjin-Hebei Urban Agglomeration," IJERPH, MDPI, vol. 19(13), pages 1-16, June.
    5. Ang, B.W. & Goh, Tian, 2019. "Index decomposition analysis for comparing emission scenarios: Applications and challenges," Energy Economics, Elsevier, vol. 83(C), pages 74-87.
    6. Fang Chen & Tao Zhao & Di Wang, 2022. "Research on China Cities’ Total Factor Productivity of Carbon Emission: Based on Decoupling Effect," IJERPH, MDPI, vol. 19(4), pages 1-16, February.
    7. Zhicong Zhang & Hao Xie & Jubing Zhang & Xinye Wang & Jiayu Wei & Xibin Quan, 2022. "Prediction and Trend Analysis of Regional Industrial Carbon Emission in China: A Study of Nanjing City," IJERPH, MDPI, vol. 19(12), pages 1-23, June.
    8. 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.
    9. Jaehyeok Kim & Hyungwoo Lim & Ha-Hyun Jo, 2020. "Do Aging and Low Fertility Reduce Carbon Emissions in Korea? Evidence from IPAT Augmented EKC Analysis," IJERPH, MDPI, vol. 17(8), pages 1-15, April.
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