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How does industrial relocation affect carbon emissions? Evidence from Chinese cities

Author

Listed:
  • Ya-Nan Zhao

    (Ocean University of China)

  • Chien-Chiang Lee

    (Nanchang University
    Nanchang University)

Abstract

Based on the 274 prefecture-level cities in China from 2006 to 2022, this paper comprehensively investigated whether the National Industrial Relocation Demonstration Zones (NIRDZ) policy increases the undertaking regions’ carbon dioxide (CO2) emissions level. Using propensity score matching and the difference-in-difference approach (PSM-DID), the main conclusions of this study are as follows: First, establishing a demonstration area can significantly reduce the level of urban CO2 emissions. Second, the mechanism analysis found that the NIRDZ policy can reduce CO2 emissions through “scale effects,” “technology effects,” “structural effects,” and “market effects.” Finally, the effect of the NIRDZ policy can vary depending on the strength of environmental regulation and the types of initial resources. This study provides important insights for urban carbon reduction initiatives.

Suggested Citation

  • Ya-Nan Zhao & Chien-Chiang Lee, 2024. "How does industrial relocation affect carbon emissions? Evidence from Chinese cities," Economic Change and Restructuring, Springer, vol. 57(6), pages 1-33, December.
  • Handle: RePEc:kap:ecopln:v:57:y:2024:i:6:d:10.1007_s10644-024-09761-3
    DOI: 10.1007/s10644-024-09761-3
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    as
    1. Chandran Govindaraju, V.G.R. & Tang, Chor Foon, 2013. "The dynamic links between CO2 emissions, economic growth and coal consumption in China and India," Applied Energy, Elsevier, vol. 104(C), pages 310-318.
    2. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    3. Deng, Ziliang & Huang, Eryue & Wang, Pei, 2023. "A power-dependence perspective of the pollution haven hypothesis," Journal of Business Research, Elsevier, vol. 169(C).
    4. Dongdong Lu & Zilong Wang, 2023. "Towards green economic recovery: how to improve green total factor productivity," Economic Change and Restructuring, Springer, vol. 56(5), pages 3163-3185, October.
    5. Ciccone, Antonio & Hall, Robert E, 1996. "Productivity and the Density of Economic Activity," American Economic Review, American Economic Association, vol. 86(1), pages 54-70, March.
    6. Lee, Chien-Chiang & Zhao, Ya-Nan, 2023. "Heterogeneity analysis of factors influencing CO2 emissions: The role of human capital, urbanization, and FDI," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    7. Tao Song, 2024. "Pollution reduction by rationalization hypothesis and water pollution in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    8. Zoltán J. Ács & Pontus Braunerhjelm & David B. Audretsch & Bo Carlsson, 2015. "The knowledge spillover theory of entrepreneurship," Chapters, in: Global Entrepreneurship, Institutions and Incentives, chapter 7, pages 129-144, Edward Elgar Publishing.
    9. Singhania, Monica & Saini, Neha, 2021. "Demystifying pollution haven hypothesis: Role of FDI," Journal of Business Research, Elsevier, vol. 123(C), pages 516-528.
    10. Wen, Jun & Hao, Yu & Feng, Gen-Fu & Chang, Chun-Ping, 2016. "Does government ideology influence environmental performance? Evidence based on a new dataset," Economic Systems, Elsevier, vol. 40(2), pages 232-246.
    11. Bai, Hanyu & Irfan, Muhammad & Hao, Yu, 2022. "How does industrial transfer affect environmental quality? Evidence from China," Journal of Asian Economics, Elsevier, vol. 82(C).
    12. Yu, Fan & Xiao, De & Chang, Meng-Shiuh, 2021. "The impact of carbon emission trading schemes on urban-rural income inequality in China: A multi-period difference-in-differences method," Energy Policy, Elsevier, vol. 159(C).
    13. Wang, Yanan & Yin, Shiwen & Fang, Xiaoli & Chen, Wei, 2022. "Interaction of economic agglomeration, energy conservation and emission reduction: Evidence from three major urban agglomerations in China," Energy, Elsevier, vol. 241(C).
    14. Wang, Jinxiu & Deng, Kun, 2022. "Impact and mechanism analysis of smart city policy on urban innovation: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 574-587.
    15. Sung, Bongsuk & Song, Woo-Yong & Park, Sang-Do, 2018. "How foreign direct investment affects CO2 emission levels in the Chinese manufacturing industry: Evidence from panel data," Economic Systems, Elsevier, vol. 42(2), pages 320-331.
    16. Lin, Boqiang & Wang, Chonghao, 2023. "Does industrial relocation affect regional carbon intensity? Evidence from China's secondary industry," Energy Policy, Elsevier, vol. 173(C).
    17. Xin, Ziqiang & Xin, Sufei, 2017. "Marketization process predicts trust decline in China," Journal of Economic Psychology, Elsevier, vol. 62(C), pages 120-129.
    18. Chen, Zhao & Kahn, Matthew E. & Liu, Yu & Wang, Zhi, 2018. "The consequences of spatially differentiated water pollution regulation in China," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 468-485.
    19. Fan, Wei & Li, Li & Wang, Feiran & Li, Ding, 2020. "Driving factors of CO2 emission inequality in China: The role of government expenditure," China Economic Review, Elsevier, vol. 64(C).
    20. Pan, Yinghao & Zhang, Chao-Chao & Lee, Chien-Chiang & Lv, Suxiang, 2024. "Environmental performance evaluation of electric enterprises during a power crisis: Evidence from DEA methods and AI prediction algorithms," Energy Economics, Elsevier, vol. 130(C).
    21. Hillary Angelo & David Wachsmuth, 2020. "Why does everyone think cities can save the planet?," Urban Studies, Urban Studies Journal Limited, vol. 57(11), pages 2201-2221, August.
    22. Du, Zhili & Wang, Yao, 2022. "Does energy-saving and emission reduction policy affects carbon reduction performance? A quasi-experimental evidence in China," Applied Energy, Elsevier, vol. 324(C).
    23. Guo, Qingbin & Wang, Yong & Dong, Xiaobin, 2022. "Effects of smart city construction on energy saving and CO2 emission reduction: Evidence from China," Applied Energy, Elsevier, vol. 313(C).
    24. Lee, Chien-Chiang & Yan, Jingyang, 2024. "Will artificial intelligence make energy cleaner? Evidence of nonlinearity," Applied Energy, Elsevier, vol. 363(C).
    25. Zhang, Jiaqing & Chen, Xiaohui & Zhao, Xindong, 2023. "A perspective of government investment and enterprise innovation: Marketization of business environment," Journal of Business Research, Elsevier, vol. 164(C).
    26. Ruan, Jianqing & Zhang, Xiaobo, 2014. "“Flying geese” in China: The textile and apparel industry's pattern of migration," Journal of Asian Economics, Elsevier, vol. 34(C), pages 79-91.
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    Cited by:

    1. Yi Lin & Xin Qi & Lijuan Wang, 2024. "Digital Transformation and Carbon Intensity: Evidence from Chinese Tourism Companies," Sustainability, MDPI, vol. 16(21), pages 1-22, October.

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