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Effect of industrial transfer on carbon lock-in: a spatial econometric analysis of Chinese cities

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  • Yingzhi Xu
  • Biying Dong
  • Yan Chen
  • Hanwen Qin

Abstract

To explore the potential effect of industrial transfer on carbon lock-in in China, this paper constructed the measurement formula of industrial transfer based on output and demand, and calculated carbon lock-in according to carbon sink and carbon emissions. By means of a spatial autoregressive model and a panel threshold model, we discussed the spatial spillover of carbon lock-in and the effect of industrial transfer. The findings are as follows: (1) The level of carbon lock-in does have a positive spatial spillover effect between economic neighboring provinces. (2) The effect of industrial transfer on carbon lock-in depends on industry characteristics. (3) Technological progress has direct and indirect carbon unlocking effects, energy structure, trade openness and increased fiscal expenditure exacerbate the carbon lock-in dilemma, while economic growth and carbon lock-in show an inverted “U” relationship. (4) There is a non-linear relationship between industrial transfer and carbon lock-in. Finally, we propose some recommendations to reduce dependence on high-carbon fossil energy and speed up the process of carbon unlocking in China.

Suggested Citation

  • Yingzhi Xu & Biying Dong & Yan Chen & Hanwen Qin, 2022. "Effect of industrial transfer on carbon lock-in: a spatial econometric analysis of Chinese cities," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 65(6), pages 1024-1055, May.
    • Handle: RePEc:taf:jenpmg:v:65:y:2022:i:6:p:1024-1055
    DOI: 10.1080/09640568.2021.1919067
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    Cited by:

    1. Zhao, Congyu & Wang, Jianda & Dong, Kangyin & Wang, Kun, 2023. "How does renewable energy encourage carbon unlocking? A global case for decarbonization," Resources Policy, Elsevier, vol. 83(C).
    2. Weicheng Xu & Hanxia Li, 2024. "Can Digital Finance Enable China’s Industrial Carbon Unlocking under Environmental Regulatory Constraints? Joint Tests of Regression Analysis and Qualitative Comparative Analysis," Sustainability, MDPI, vol. 16(10), pages 1-37, May.
    3. Lee, Chien-Chiang & Wang, Fuhao, 2022. "How does digital inclusive finance affect carbon intensity?," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 174-190.
    4. Tianqi Wang & Yawen Sun & Yong Wang & Yuhao Yang, 2023. "Does carbon emissions trading facilitate carbon unlocking? Empirical evidence from China," Journal of Economic Statistics, Anser Press, vol. 1(1), pages 125-146, February.

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