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Urban Industrial Land Misallocation and Green Total Factor Productivity: Evidence from China’s Yellow River Basin Regions

Author

Listed:
  • Lei Nie

    (Cooperative Innovation Center for Transition of Resource-based Economies and Research Institute of Resource-based Economic Transformation and Development, Shanxi University of Finance and Economics, Taiyuan, China)

  • Zhenzhen Ren

    (Research Institute of Resource-based Economic Transformation and Development, Shanxi University of Finance and Economics, Taiyuan, China)

  • Yanrui Wu

    (Department of Economics, University of Western Australia, Perth, Australia)

  • Qizhou Luo

    (Department of Economics, University of Nevada, Reno, USA)

Abstract

This study aims to investigate the repercussions of urban industrial land misallocation on green total factor productivity within the context of China’s Yellow River Basin regions. Utilizing data from 99 prefecture-level cities over the period from 2007 to 2020, the analysis reveals that the misallocation of urban industrial land exhibits regional variations and exerts a significant and persistent negative influence on green total factor productivity, with notable regional disparities. Further analysis shows the mechanism of this effect is the obstacle to urban innovation due to industrial land misallocation. In addition, education expenditure plays a moderating role both directly and indirectly. These findings imply the need to continuously improve the performance evaluation and financial system of local governments, reduce government intervention and make use of the market mechanism in the allocation of urban industrial land.

Suggested Citation

  • Lei Nie & Zhenzhen Ren & Yanrui Wu & Qizhou Luo, 2024. "Urban Industrial Land Misallocation and Green Total Factor Productivity: Evidence from China’s Yellow River Basin Regions," Economics Discussion / Working Papers 24-05, The University of Western Australia, Department of Economics.
    • Handle: RePEc:uwa:wpaper:24-05
    Note: MD5 = 806fc99e4d7301250aa2c97be0079647
    as

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