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Impact of Carbon Emission Trading Market on Regional Urbanization: an Empirical Study Based on a Difference-In-Differences Model

Author

Listed:
  • Haoyuan Cheng

    (Institute of Western China Economic Research, Southwestern University of Finance and Economics, Chengdu, China)

  • Xiaoqian Liu

    (Research Institute of Economics and Management, Southwestern University of Finance and Economics, Chengdu, China)

  • Zhenlong Xu

    (Kogod Business School, American University, Washington, USA)

Abstract

China's carbon emission trading market has been formally established, but few studies have been conducted to analyze the impact of this policy on the regional urbanization level. Therefore, this paper evaluates whether the carbon trading pilot policy can enhance the regional urbanization level in China through the difference-in-differences method and analyzes the mediating role of industrial structure upgrading in this process. The results prove that the carbon trading market policy can accelerate the transformation and upgrading of industrial structure in the region so that it promotes the development of regional urbanization. Moreover, the effects of the policy are concentratedly manifested in the eastern region of China.

Suggested Citation

  • Haoyuan Cheng & Xiaoqian Liu & Zhenlong Xu, 2022. "Impact of Carbon Emission Trading Market on Regional Urbanization: an Empirical Study Based on a Difference-In-Differences Model," Economic Analysis Letters, Anser Press, vol. 1(1), pages 15-21, September.
    • Handle: RePEc:bba:j00004:v:1:y:2022:i:1:p:15-21:d:65
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    Citations

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    Cited by:

    1. Xiaoli Hao & Shufang Wen & Jianing Zhu & Haitao Wu & Yu Hao, 2024. "Can business managerial capacity improve green innovation in different industries? Evidence from Chinese listed companies," Business Strategy and the Environment, Wiley Blackwell, vol. 33(3), pages 2600-2620, March.
    2. Xiaowei Song & Jun Yang, 2024. "Assessing the impact of digitization and servitization of manufacturing firms in the context of carbon emission reduction: Evidence from a microsurvey in China," Energy & Environment, , vol. 35(7), pages 3340-3385, November.
    3. Jing Rong & Wei Wang & Haijun Zhang, 2024. "Does artificial intelligence improve energy productivity in China's industrial sector? Empirical evidence based on the spatial moderation model," Energy & Environment, , vol. 35(8), pages 4026-4048, December.

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