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Spatial–Temporal Evolution and Driving Factors of Industrial Land Marketization in Chengdu–Chongqing Economic Circle

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  • Xiaoyi Chen

    (School of Resources and Environment, Southwest University, Chongqing 400715, China)

  • Hengwei Wang

    (School of Resources and Environment, Southwest University, Chongqing 400715, China
    Centre for the Studies of Global Human Movement, University of Cambridge, Cambridge CB3 9DA, Cambridgeshire, UK)

Abstract

Industrial land is essential for supply-side structural reforms, particularly in the Chengdu–Chongqing area, Western China’s most densely populated and industrially robust region. This area, a pivotal hub linking Southwest China with South Asia and Southeast Asia, is critical for the national strategic layout and regional economic restructuring. Despite its substantial industrial foundation as an old industrial base, internal developmental stagnation has led to an irrational industrial land use structure. This paper analyzed land transaction data from the China Land Market Network (2010–2021) using methods such as kernel density estimation, the standard deviation ellipse method, and Global Moran’s I index. The analysis focuses on the spatiotemporal evolution of industrial land marketization and its driving factors in 44 cities within the Chengdu–Chongqing economic circle. The findings aim to enhance the strategic implementation of national policies and regional economic optimization, suggesting intensified development efforts in key cities and promoting integrated growth in potential areas like Suining and Ziyang to foster a conducive environment for high-quality regional development.

Suggested Citation

  • Xiaoyi Chen & Hengwei Wang, 2024. "Spatial–Temporal Evolution and Driving Factors of Industrial Land Marketization in Chengdu–Chongqing Economic Circle," Land, MDPI, vol. 13(7), pages 1-18, July.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:972-:d:1427272
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    References listed on IDEAS

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    1. Zhiheng Yang & Chenxi Li & Yongheng Fang, 2020. "Driving Factors of the Industrial Land Transfer Price Based on a Geographically Weighted Regression Model: Evidence from a Rural Land System Reform Pilot in China," Land, MDPI, vol. 9(1), pages 1-21, January.
    2. Brent W. Ambrose, 1990. "An Analysis of the Factors Affecting Light Industrial Property Valuation," Journal of Real Estate Research, American Real Estate Society, vol. 5(3), pages 355-370.
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