IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i22p15975-d1280886.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/22/15975/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/22/15975/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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).
    3. 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.
    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. 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.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhaoxue Gai & Ying Xu & Guoming Du, 2023. "Spatio-Temporal Differentiation and Driving Factors of Carbon Storage in Cultivated Land-Use Transition," Sustainability, MDPI, vol. 15(5), pages 1-16, February.
    2. Qifan Guan, 2023. "Decomposing and Decoupling the Energy-Related Carbon Emissions in the Beijing–Tianjin–Hebei Region Using the Extended LMDI and Tapio Index Model," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
    3. Pei Zhao & Junhua Guo & Yang Wang, 2023. "How Does the Digital Economy Affect Green Development?—Evidence from 284 Cities in China," Sustainability, MDPI, vol. 15(15), pages 1-24, July.
    4. 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.
    5. Zheng Jiang & Shuohua Zhang & Wei Li, 2022. "Exploration of Urban Emission Mitigation Pathway under the Carbon Neutrality Target: A Case Study of Beijing, China," Sustainability, MDPI, vol. 14(21), pages 1-18, October.
    6. Muwei Xi & Dingqing Wang & Ye Xiang, 2023. "Fiscal Expenditure on Sports and Regional Carbon Emissions: Evidence from China," Sustainability, MDPI, vol. 15(9), pages 1-15, May.
    7. Fan Yang & Qian Mao, 2023. "Auto-Evaluation Model for the Prediction of Building Energy Consumption That Combines Modified Kalman Filtering and Long Short-Term Memory," Sustainability, MDPI, vol. 15(22), pages 1-16, November.
    8. Xu Dong & Yang Chen & Qinqin Zhuang & Yali Yang & Xiaomeng Zhao, 2022. "Agglomeration of Productive Services, Industrial Structure Upgrading and Green Total Factor Productivity: An Empirical Analysis Based on 68 Prefectural-Level-and-Above Cities in the Yellow River Basin," IJERPH, MDPI, vol. 19(18), pages 1-19, September.
    9. Fan, Zhi-Ping & Cai, Siqin & Guo, Dongliang & Xu, Bo, 2022. "Facing the uncertainty of renewable energy production: Production decisions of a power plant with different risk attitudes," Renewable Energy, Elsevier, vol. 199(C), pages 1237-1247.
    10. Xin Li & Chunlei Huang & Shaoguo Zhan & Yunxi Wu, 2022. "The Carbon Emission Reduction Effect of City Cluster—Evidence from the Yangtze River Economic Belt in China," Energies, MDPI, vol. 15(17), pages 1-14, August.
    11. Jiang Zhu & Xiang Li & Huiming Huang & Xiangdong Yin & Jiangchun Yao & Tao Liu & Jiexuan Wu & Zhangcheng Chen, 2023. "Spatiotemporal Evolution of Carbon Emissions According to Major Function-Oriented Zones: A Case Study of Guangdong Province, China," IJERPH, MDPI, vol. 20(3), pages 1-20, January.
    12. Wang, Zhibao & Wei, Lijie & Zhang, Xiaoping & Qi, Guangzhi, 2023. "Impact of demographic age structure on energy consumption structure: Evidence from population aging in mainland China," Energy, Elsevier, vol. 273(C).
    13. Ran Wang & Hui Ci & Ting Zhang & Yuxin Tang & Jinyuan Wei & Hui Yang & Gefei Feng & Zhaojin Yan, 2023. "Spatial-Temporal Evolution Characteristics of Industrial Carbon Emissions in China’s Most Developed Provinces from 1998–2013: The Case of Guangdong," Energies, MDPI, vol. 16(5), pages 1-21, February.
    14. Hyungwoo Lim & Jaehyeok Kim & Ha-Hyun Jo, 2020. "Population Age Structure and Greenhouse Gas Emissions from Road Transportation: A Panel Cointegration Analysis of 21 OECD Countries," IJERPH, MDPI, vol. 17(21), pages 1-18, October.
    15. Jie Gao & Wu Zhang & Chunbaixue Yang & Qun Wang & Rui Yuan & Rui Wang & Limiao Zhang & Zhijian Li & Xiaoli Luo, 2023. "A Comparative Study of China’s Carbon Neutrality Policy and International Research Keywords under the Background of Decarbonization Plans in China," Sustainability, MDPI, vol. 15(17), pages 1-23, August.
    16. Tian, Ying & Pang, Jun, 2023. "What causes dynamic change of green technology progress: Convergence analysis based on industrial restructuring and environmental regulation," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 189-199.
    17. Yuan Zeng & Wengang Zhang & Jingwen Sun & Li’ao Sun & Jun Wu, 2023. "Research on Regional Carbon Emission Reduction in the Beijing–Tianjin–Hebei Urban Agglomeration Based on System Dynamics: Key Factors and Policy Analysis," Energies, MDPI, vol. 16(18), pages 1-20, September.
    18. Chun Fu & Can Zhou, 2023. "Examining the Impact of Real Estate Development on Carbon Emissions Using Differential Generalized Method of Moments and Dynamic Panel Threshold Model," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
    19. Jinxing Hu & Cuiying Shao & Zhaolong Zhang, 2022. "The Impact of Sustainable Regional Development Policy on Carbon Emissions: Evidence from Yangtze River Delta of China," Energies, MDPI, vol. 15(24), pages 1-25, December.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:15975-:d:1280886. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.