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Industrial Land Protection and Allocation Efficiency: Evidence from Guangdong, China

Author

Listed:
  • Jie Lin

    (Business School, Shantou University, Shantou 515063, China)

  • Xin Li

    (School of Architecture, South China University of Technology, Guangzhou 510641, China)

  • Jianfu Shen

    (Department of Building and Real Estate, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China)

Abstract

Industrial land allocation in China has been distorted for a long time by local governments providing land at a low price to attract manufacturing activities. This study explores whether an industrial land protection policy can reduce the distortions and, hence, improve land allocation efficiency in China. Using industrial land zoning and protection policies adopted in some cities in Guangdong province, this study finds that industrial land allocation efficiency is indeed improved after the implementation of protection policies, reflected in higher land prices and greater land use intensity. However, the improvement is smaller for industrial land provided to advanced manufacturing industries, indicating that local governments continue to rely on a strategy of offering cheap land to compete for high-end manufacturing activities. Further analysis suggests that the adoption of industrial land protection in one region generates a positive spillover effect on industrial land allocation efficiency in neighboring regions. Overall, this study provides new evidence on the effectiveness of industrial land protection.

Suggested Citation

  • Jie Lin & Xin Li & Jianfu Shen, 2024. "Industrial Land Protection and Allocation Efficiency: Evidence from Guangdong, China," Land, MDPI, vol. 13(12), pages 1-20, December.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:12:p:2081-:d:1535739
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    References listed on IDEAS

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    1. Cheong, Tsun Se & Wu, Yanrui, 2014. "The impacts of structural transformation and industrial upgrading on regional inequality in China," China Economic Review, Elsevier, vol. 31(C), pages 339-350.
    2. Mingxing Liu & Ran Tao & Fei Yuan & Guangzhong Cao, 2008. "Instrumental land use investment-driven growth in China," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 13(3), pages 313-331.
    3. Carl Grodach, 2022. "The Institutional Dynamics of Land Use Planning," Journal of the American Planning Association, Taylor & Francis Journals, vol. 88(4), pages 537-549, October.
    4. Pi‐Han Tsai & Chien‐Yu Huang & Tsun‐Feng Chiang, 2020. "Fiscal Expenditure And Industrial Land Price In China: Theory And Evidence," Contemporary Economic Policy, Western Economic Association International, vol. 38(4), pages 593-606, October.
    5. Li, Xun & Hui, Eddie Chi-man & Lang, Wei & Zheng, Shali & Qin, Xiaozhen, 2020. "Transition from factor-driven to innovation-driven urbanization in China: A study of manufacturing industry automation in Dongguan City," China Economic Review, Elsevier, vol. 59(C).
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