IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i18p6676-d1242178.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/18/6676/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/18/6676/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    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. Weisong Mi & Kaixu Zhao & Pei Zhang, 2022. "Spatio-Temporal Evolution and Driving Mechanism of Green Innovation in China," Sustainability, MDPI, vol. 14(9), pages 1-27, April.
    2. Xueyang Wang & Xiumei Sun & Haotian Zhang & Chaokai Xue, 2022. "Digital Economy Development and Urban Green Innovation CA-Pability: Based on Panel Data of 274 Prefecture-Level Cities in China," Sustainability, MDPI, vol. 14(5), pages 1-21, March.
    3. Fei Yang & Chunchen Wang, 2023. "Clean energy, emission trading policy, and CO2 emissions: Evidence from China," Energy & Environment, , vol. 34(5), pages 1657-1673, August.
    4. Da Gao & Chang Liu & Xinyan Wei & Yang Liu, 2023. "Can River Chief System Policy Improve Enterprises’ Energy Efficiency? Evidence from China," IJERPH, MDPI, vol. 20(4), pages 1-17, February.
    5. Gulmira Abbas & Alimujiang Kasimu, 2023. "Characteristics of Land-Use Carbon Emissions and Carbon Balance Zoning in the Economic Belt on the Northern Slope of Tianshan," Sustainability, MDPI, vol. 15(15), pages 1-27, July.
    6. Gao, Ming, 2023. "The impacts of carbon trading policy on China's low-carbon economy based on county-level perspectives," Energy Policy, Elsevier, vol. 175(C).
    7. Wang, Hao-ran & Feng, Tian-tian & Zhong, Cheng, 2023. "Effectiveness of CO2 cost pass-through to electricity prices under “electricity-carbon” market coupling in China," Energy, Elsevier, vol. 266(C).
    8. Tan, Ruipeng & Xu, Mengmeng & Qiao, Gang & Wu, Huaqing, 2023. "FDI, financial market development and nonlinearities of energy and environmental efficiency in China: Evidence from both parametric and nonparametric models," Energy Economics, Elsevier, vol. 119(C).
    9. Sheng Xu & Jingxue Chen & Demei Wen, 2023. "Research on the Impact of Carbon Trading Policy on the Structural Upgrading of Marine Industry," Sustainability, MDPI, vol. 15(9), pages 1-17, April.
    10. Weng, Zhixiong & Liu, Tingting & Wu, Yufeng & Cheng, Cuiyun, 2022. "Air quality improvement effect and future contributions of carbon trading pilot programs in China," Energy Policy, Elsevier, vol. 170(C).
    11. Debao Dai & Yaodong Fan & Guangyu Wang & Jiaping Xie, 2022. "Digital Economy, R&D Investment, and Regional Green Innovation—Analysis Based on Provincial Panel Data in China," Sustainability, MDPI, vol. 14(11), pages 1-21, May.
    12. Xu, Yong & Yuan, Ling & Khalfaoui, Rabeh & Radulescu, Magdalena & Mallek, Sabrine & Zhao, Xin, 2023. "Making technological innovation greener: Does firm digital transformation work?," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    13. Ru Sha & Tao Ge & Jinye Li, 2022. "How Energy Price Distortions Affect China’s Economic Growth and Carbon Emissions," Sustainability, MDPI, vol. 14(12), pages 1-27, June.
    14. Hongxin Yu & Yaohui Jiang & Zhaowen Zhang & Wen-Long Shang & Chunjia Han & Yuanjun Zhao, 2022. "The impact of carbon emission trading policy on firms’ green innovation in China," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-24, December.
    15. Kopyrina, Olga & Wu, Kai & Ying, Zhanyu, 2023. "Greening through central inspection: The role of legitimacy pressure and risk-taking," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    16. Keliang Wang & Yajing Bian & Yunhe Cheng, 2022. "Exploring the Spatial Correlation Network Structure of Green Innovation Efficiency in the Yangtze River Delta, China," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
    17. Yan, Zheming & Zhou, Zicheng & Du, Kerui, 2023. "How does environmental regulatory stringency affect energy consumption? Evidence from Chinese firms," Energy Economics, Elsevier, vol. 118(C).
    18. Wei Yang & Qiheng Yuan & Yongli Wang & Fei Zheng & Xin Shi & Yi Li, 2023. "Carbon Emission Forecasting Study Based on Influence Factor Mining and Mini-Batch Stochastic Gradient Optimization," Energies, MDPI, vol. 17(1), pages 1-18, December.
    19. Sun, Chuanwang & Khan, Anwar & Liu, Yongzhe & Lei, Ni, 2022. "An analysis of the impact of fiscal and monetary policy fluctuations on the disaggregated level renewable energy generation in the G7 countries," Renewable Energy, Elsevier, vol. 189(C), pages 1154-1165.
    20. Jing Han & Weilin Zhu & Chaofan Chen, 2023. "Identifying Emissions Reduction Opportunities in International Bilateral Emissions Trading Systems to Achieve China’s Energy Sector NDCs," IJERPH, MDPI, vol. 20(2), pages 1-24, January.

    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:jeners:v:16:y:2023:i:18:p:6676-:d:1242178. 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.