IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i4p917-d1339614.html
   My bibliography  Save this article

Estimation and Analysis of Carbon Emission Efficiency in Chinese Industry and Its Influencing Factors—Evidence from the Micro Level

Author

Listed:
  • Xinna Zhao

    (School of Economics and Management, Beijing Institute of Petrochemical Technology, Beijing 102617, China
    Development Research Centre of Beijing New Modern Industrial Area, Beijing 102617, China)

  • Li Guo

    (School of Economics and Management, Beijing Institute of Petrochemical Technology, Beijing 102617, China)

  • Zhiyuan Gao

    (School of Economics and Management, Beijing Institute of Petrochemical Technology, Beijing 102617, China
    Development Research Centre of Beijing New Modern Industrial Area, Beijing 102617, China)

  • Yu Hao

    (School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China)

Abstract

A major goal of the “14th Five-Year Plan” phase is to promote the green transformation of industrial enterprises to address the ‘dual carbon’ challenge. Utilizing the China Industrial Enterprises Database and the Polluting Enterprises Database, this paper calculates the carbon emissions of Chinese industrial enterprises from 2001 to 2010 at the micro level. It presents an analysis of the heterogeneity of carbon emission efficiency (TPI) in industrial enterprises, as well as the factors influencing corporate TPI. This study finds that enterprises within a subdivided industry exhibit heterogeneous levels of TPI, with carbon emissions largely affected by the structure of energy consumption. The researchers suggest accelerating the transition of industrial enterprises to green technology and argue that carbon emission policies should shift from controlling direct total targets to strengthening market-oriented policy tools. Carbon reduction targets should be more stringent for enterprises with lower TPI, considering the heterogeneity among enterprises. To meet the challenges of emission reduction, industrial enterprises are encouraged to actively reform their energy consumption structure. Government policies should aim to reduce clean energy costs and encourage the use of clean energy by industrial enterprises.

Suggested Citation

  • Xinna Zhao & Li Guo & Zhiyuan Gao & Yu Hao, 2024. "Estimation and Analysis of Carbon Emission Efficiency in Chinese Industry and Its Influencing Factors—Evidence from the Micro Level," Energies, MDPI, vol. 17(4), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:4:p:917-:d:1339614
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/4/917/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/4/917/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Hongtao & Yang, Yi & Keller, Arturo A. & Li, Xiang & Feng, Shijin & Dong, Ya-nan & Li, Fengting, 2016. "Comparative analysis of energy intensity and carbon emissions in wastewater treatment in USA, Germany, China and South Africa," Applied Energy, Elsevier, vol. 184(C), pages 873-881.
    2. Kuang, Bing & Lu, Xinhai & Zhou, Min & Chen, Danling, 2020. "Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    3. Kortelainen, Mika, 2008. "Dynamic environmental performance analysis: A Malmquist index approach," Ecological Economics, Elsevier, vol. 64(4), pages 701-715, February.
    4. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    5. Talukdar, Debabrata & Meisner, Craig M., 2001. "Does the Private Sector Help or Hurt the Environment? Evidence from Carbon Dioxide Pollution in Developing Countries," World Development, Elsevier, vol. 29(5), pages 827-840, May.
    6. Hongbin Cai & Qiao Liu, 2009. "Competition and Corporate Tax Avoidance: Evidence from Chinese Industrial Firms," Economic Journal, Royal Economic Society, vol. 119(537), pages 764-795, April.
    7. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Slacks-based efficiency measures for modeling environmental performance," Ecological Economics, Elsevier, vol. 60(1), pages 111-118, November.
    8. Brandt, Loren & Van Biesebroeck, Johannes & Zhang, Yifan, 2012. "Creative accounting or creative destruction? Firm-level productivity growth in Chinese manufacturing," Journal of Development Economics, Elsevier, vol. 97(2), pages 339-351.
    9. Sun, J. W., 2005. "The decrease of CO2 emission intensity is decarbonization at national and global levels," Energy Policy, Elsevier, vol. 33(8), pages 975-978, May.
    10. R. Ramanathan, 2002. "Combining indicators of energy consumption and CO 2 emissions: a cross-country comparison," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 17(3), pages 214-227.
    11. Chad Syverson, 2004. "Product Substitutability and Productivity Dispersion," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 534-550, May.
    12. Hampf, Benjamin & Rødseth, Kenneth Løvold, 2015. "Carbon dioxide emission standards for U.S. power plants: An efficiency analysis perspective," Energy Economics, Elsevier, vol. 50(C), pages 140-153.
    13. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    14. Atakelty Hailu, 2003. "Nonparametric Productivity Analysis with Undesirable Outputs: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 1075-1077.
    15. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    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. George Halkos & George Papageorgiou, 2016. "Spatial environmental efficiency indicators in regional waste generation: a nonparametric approach," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(1), pages 62-78, January.
    2. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    3. Fan Zhang & Gui Jin & Junlong Li & Chao Wang & Ning Xu, 2020. "Study on Dynamic Total Factor Carbon Emission Efficiency in China’s Urban Agglomerations," Sustainability, MDPI, vol. 12(7), pages 1-17, March.
    4. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    5. Vaninsky, Alexander, 2010. "Prospective national and regional environmental performance: Boundary estimations using a combined data envelopment – stochastic frontier analysis approach," Energy, Elsevier, vol. 35(9), pages 3657-3665.
    6. Abad, Arnaud & Briec, Walter, 2019. "On the axiomatic of pollution-generating technologies: Non-parametric production analysis," European Journal of Operational Research, Elsevier, vol. 277(1), pages 377-390.
    7. Yigang Wei & Yan Li & Meiyu Wu & Yingbo Li, 2020. "Progressing sustainable development of “the Belt and Road countries”: Estimating environmental efficiency based on the Super‐slack‐based measure model," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 521-539, July.
    8. Wu, Yan & Heerink, Nico & Yu, Linhui, 2020. "Real estate boom and resource misallocation in manufacturing industries: Evidence from China," China Economic Review, Elsevier, vol. 60(C).
    9. Sun, Chuanwang & Tie, Ying & Yu, Lili, 2024. "How to achieve both environmental protection and firm performance improvement: Based on China's carbon emissions trading (CET) policy," Energy Economics, Elsevier, vol. 130(C).
    10. Wenjing Duan & Pedro S. Martins, 2022. "Rent sharing in China: Magnitude, heterogeneity and drivers," British Journal of Industrial Relations, London School of Economics, vol. 60(1), pages 176-219, March.
    11. Bing Li & Linyue Li & Rou Li & Yunsong Yue, 2023. "Internet and firms’ exports and imports: Firm level evidence from China," The World Economy, Wiley Blackwell, vol. 46(3), pages 835-872, March.
    12. Eberhardt, Markus & Wang, Zheng & Yu, Zhihong, 2016. "From one to many central plans: Drug advertising inspections and intra-national protectionism in China," Journal of Comparative Economics, Elsevier, vol. 44(3), pages 608-622.
    13. Xiang, Junyi & Zhang, Hongxiang & Dang, Dingyu & Guan, Jing, 2023. "Involuntary political connections and private firms' tax avoidance," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    14. Guo, Xiao-Dan & Zhu, Lei & Fan, Ying & Xie, Bai-Chen, 2011. "Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA," Energy Policy, Elsevier, vol. 39(5), pages 2352-2360, May.
    15. Mahlberg, Bernhard & Luptacik, Mikulas & Sahoo, Biresh K., 2011. "Examining the drivers of total factor productivity change with an illustrative example of 14 EU countries," Ecological Economics, Elsevier, vol. 72(C), pages 60-69.
    16. Geng, Yong & Liu, Wei & Wu, Yuzhao, 2021. "How do zombie firms affect China’s industrial upgrading?," Economic Modelling, Elsevier, vol. 97(C), pages 79-94.
    17. Gan, Li & Hernandez, Manuel A. & Ma, Shuang, 2016. "The higher costs of doing business in China: Minimum wages and firms' export behavior," Journal of International Economics, Elsevier, vol. 100(C), pages 81-94.
    18. Ariel Weinberger & Qian Xuefeng & Mahmut Yaşar, 2021. "Export tax rebates and resource misallocation: Evidence from a large developing country," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(4), pages 1562-1608, November.
    19. Qingyou Yan & Xu Wang & Tomas Baležentis & Dalia Streimikiene, 2018. "Energy–economy–environmental (3E) performance of Chinese regions based on the data envelopment analysis model with mixed assumptions on disposability," Energy & Environment, , vol. 29(5), pages 664-684, August.
    20. Zhou, Anhua & Li, Jun, 2021. "Investigate the impact of market reforms on the improvement of manufacturing energy efficiency under China’s provincial-level data," Energy, Elsevier, vol. 228(C).

    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:17:y:2024:i:4:p:917-:d:1339614. 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.