IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-03739-2.html
   My bibliography  Save this article

Can carbon trading policy boost upgrading and optimization of industrial structure? An empirical study based on data from China

Author

Listed:
  • Daoping Chen

    (Chongqing Normal University)

  • Haifeng Liao

    (Chongqing Normal University)

  • Hong Tan

    (China Three Gorges University)

Abstract

Carbon trading policy is a major mechanism innovation based on the market to deal with climate change and reduce greenhouse gas emissions. As the scale of China’s carbon trading market gradually expands, the impact of carbon trading policy on the upgrading and optimization of industrial structures has attracted much attention. This paper depicts the upgrading of industrial structure through the advancement of industrial structure, and the optimization of industrial structure through the rationalization of industrial structure. Using panel data from 201 prefecture-level and above cities in China from 2004 to 2018, this study empirically investigates the impact and mechanism of carbon trading policy on the upgrading and optimization of industrial structure based on a double difference and mediation effect model. The research results show that carbon trading policy can generally promote the upgrading and optimization of industrial structures, but there are significant differences between promoting the upgrading and optimization of industrial structures. Mechanism analysis shows that carbon trading policy can promote the upgrading and optimization of industrial structure through technological innovation, and technological innovation has an intermediary effect. Heterogeneity analysis shows that there are significant differences between the eastern region and the central and western regions in carbon trading policy promoting the upgrading and optimization of industrial structure. Carbon trading policy is conducive to the upgrading of industrial structure in the eastern region, while they are conducive to the optimization of industrial structure in the central and western regions. In addition, it was found that there are significant differences in the promotion of the upgrading and optimization of industrial structure by carbon trading policy among cities with different levels of human capital, fiscal expenditure, foreign investment, and infrastructure. These conclusions can provide policy inspiration for high-quality green economic development, environmental policy formulation, industrial policy formulation, and urban resource allocation.

Suggested Citation

  • Daoping Chen & Haifeng Liao & Hong Tan, 2024. "Can carbon trading policy boost upgrading and optimization of industrial structure? An empirical study based on data from China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03739-2
    DOI: 10.1057/s41599-024-03739-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-03739-2
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-024-03739-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Daniel L. Millimet & Jayjit Roy, 2016. "Empirical Tests of the Pollution Haven Hypothesis When Environmental Regulation is Endogenous," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(4), pages 652-677, June.
    2. Zhou, Fengxiu & Wang, Xiaoyu, 2022. "The carbon emissions trading scheme and green technology innovation in China: A new structural economics perspective," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 365-381.
    3. Shuai Guan & Jinquan Liu & Yongfu Liu & Mingze Du, 2022. "The Nonlinear Influence of Environmental Regulation on the Transformation and Upgrading of Industrial Structure," IJERPH, MDPI, vol. 19(14), pages 1-16, July.
    4. Zou, Tanyong, 2024. "Technological innovation promotes industrial upgrading: An analytical framework," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 150-167.
    5. Tan, Xiujie & Liu, Yishuang & Dong, Hanmin & Zhang, Zhan, 2022. "The effect of carbon emission trading scheme on energy efficiency: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 506-517.
    6. 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.
    7. Junming Zhu & Yichun Fan & Xinghua Deng & Lan Xue, 2019. "Low-carbon innovation induced by emissions trading in China," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    8. Yue Dai & Nan Li & Rongrong Gu & Xiaodong Zhu, 2018. "Can China’s Carbon Emissions Trading Rights Mechanism Transform its Manufacturing Industry? Based on the Perspective of Enterprise Behavior," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    9. Song, Malin & Zheng, Huanyu & Shen, Zhiyang, 2023. "Whether the carbon emissions trading system improves energy efficiency – Empirical testing based on China's provincial panel data," Energy, Elsevier, vol. 275(C).
    10. Anjos, Miguel F. & Feijoo, Felipe & Sankaranarayanan, Sriram, 2022. "A multinational carbon-credit market integrating distinct national carbon allowance strategies," Applied Energy, Elsevier, vol. 319(C).
    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. Xu, Yuan & Wu, Yanrui & Shi, Yongli, 2021. "Emission reduction and foreign direct investment nexus in China," Journal of Asian Economics, Elsevier, vol. 74(C).
    2. Shi, Xinzheng & Xu, Zhufeng, 2018. "Environmental regulation and firm exports: Evidence from the eleventh Five-Year Plan in China," Journal of Environmental Economics and Management, Elsevier, vol. 89(C), pages 187-200.
    3. Li, Kai & Yan, Yaxue & Zhang, Xiaoling, 2021. "Carbon-abatement policies, investment preferences, and directed technological change: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    4. Yang, Zhenbing & Zhao, Ziyi & Shao, Shuai & Yang, Lili, 2023. "Carbon regulation and enterprise investment: Evidence from China," Energy Economics, Elsevier, vol. 128(C).
    5. Wang, Hai & Chen, Hui & Zhu, Lin & Yin, Junya, 2024. "“Hidden price”: Energy conservation and emission reduction targets and employment growth," Energy Policy, Elsevier, vol. 189(C).
    6. Wang, Haijun & Li, Lingchunzi & Sun, Jiaxuan & Shen, Minghao, 2023. "Carbon emissions abatement with duopoly generators and eco-conscious consumers: Carbon tax vs carbon allowance," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 786-804.
    7. Xu, Le & Yang, Lili & Li, Ding & Shao, Shuai, 2023. "Asymmetric effects of heterogeneous environmental standards on green technology innovation: Evidence from China," Energy Economics, Elsevier, vol. 117(C).
    8. Shao, Shuai & Xu, Le & Yang, Lili & Yu, Dianfan, 2024. "How do energy-saving policies improve environmental quality: Evidence from China’s Top 10,000 energy-consuming enterprises program," World Development, Elsevier, vol. 175(C).
    9. Wang, Bo & Gong, Siyu & Yang, Yang, 2024. "Unveiling the relation between digital technology and low-carbon innovation: Carbon emission trading policy as an antecedent," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    10. Li, Rui & Fang, Debin & Xu, Jiajun, 2024. "Does China's carbon inclusion policy promote household carbon emissions reduction? Theoretical mechanisms and empirical evidence," Energy Economics, Elsevier, vol. 132(C).
    11. Zhao, Xin & Nakonieczny, Joanna & Jabeen, Fauzia & Shahzad, Umer & Jia, Wenxing, 2022. "Does green innovation induce green total factor productivity? Novel findings from Chinese city level data," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    12. Deng, Haiyan & Zhang, Wenjia & Liu, Dan, 2023. "Does carbon emission trading system induce enterprises’ green innovation?," Journal of Asian Economics, Elsevier, vol. 86(C).
    13. Song, Malin & Zheng, Huanyu & Shen, Zhiyang, 2023. "Whether the carbon emissions trading system improves energy efficiency – Empirical testing based on China's provincial panel data," Energy, Elsevier, vol. 275(C).
    14. Rui Cao & Yanling Xiao & Fengxue Yin, 2023. "Spatio-Temporal Evolution of High-Quality Development and the Impact of Carbon Emissions Trading Schemes," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    15. Hongpeng Guo & Zhihao Lv & Junyi Hua & Hongxu Yuan & Qingyu Yu, 2021. "Design of Combined Auction Model for Emission Rights of International Forestry Carbon Sequestration and Other Pollutants Based on SMRA," Sustainability, MDPI, vol. 13(20), pages 1-18, October.
    16. Hu, Hui & Qi, Shaozhou & Chen, Yuanzhi, 2023. "Using green technology for a better tomorrow: How enterprises and government utilize the carbon trading system and incentive policies," China Economic Review, Elsevier, vol. 78(C).
    17. Haoran Zhang & Rongxia Zhang & Guomin Li & Wei Li & Yongrok Choi, 2020. "Has China’s Emission Trading System Achieved the Development of a Low-Carbon Economy in High-Emission Industrial Subsectors?," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    18. Antoci, Angelo & Galdi, Giulio & Russu, Paolo, 2022. "Environmental degradation and comparative advantage reversal," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    19. Laiqun Jin & Xiuyan Liu & Sam Hak Kan Tang, 2021. "High-Technology Zones, Misallocation of Resources among Cities and Aggregate Productivity: Evidence from China," Economics Discussion / Working Papers 21-11, The University of Western Australia, Department of Economics.
    20. Ying Zhang & Yingli Huang, 2023. "Killing Two Birds with One Stone or Missing One of Them? The Synergistic Governance Effect of China’s Carbon Emissions Trading Scheme on Pollution Control and Carbon Emission Reduction," Sustainability, MDPI, vol. 15(13), pages 1-25, June.

    More about this item

    Statistics

    Access and download statistics

    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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03739-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.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.