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The Evolution of Land Resource Carrying Capacity in 35 Major Cities in China

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  • Wenzhu Luo

    (School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
    International Research Center for Sustainable Built Environment, Chongqing University, Chongqing 400045, China)

  • Chi Jin

    (Faculty of Architecture and the Built Environment, Delft University of Technology, 2628 BL Delft, The Netherlands)

  • Liyin Shen

    (International Research Center for Sustainable Built Environment, Chongqing University, Chongqing 400045, China
    School of Management Science and Real Estate, Chongqing University, Chongqing 400044, China)

Abstract

With the rapid development of urbanization, it is necessary to understand the evolution of land resource carrying capacity (LRCC), so as to avoid irreversible damage to the land resources system in a specific region. Therefore, this paper aims to study the evolution of LRCC by four carrying status intervals of land resources. LRCC based on an evolutionary perspective can help the government manage land resources dynamically and rationally. This study defines LRCC from a carrier–load perspective and considers a higher or lower LRCC when facing the unbalanced relationship between socio-economic development and the supply capacity of land resources. Then, boxplots are used to investigate the LRCC in 35 major cities in China at different time points from 2012 to 2017. The results indicate that there was an increase in the number of cities with LRCC values in the unbalanced interval, with socio-economic development higher than the supply capacity of land resources. Shijiazhuang, Dalian, Harbin, Fuzhou, Chongqing, Kunming, and Taiyuan had LRCC values leaning towards an unbalanced situation. The main drivers that cause the phenomena mentioned above include policy, socio-economic development, and land use change. This study not only improves the understanding of the relationship between socio-economic development and the supply capacity of land resources and identifies the main drivers, but also provides a basis for control of LRCC according to the identifications of the main drivers.

Suggested Citation

  • Wenzhu Luo & Chi Jin & Liyin Shen, 2022. "The Evolution of Land Resource Carrying Capacity in 35 Major Cities in China," Sustainability, MDPI, vol. 14(9), pages 1-18, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5178-:d:801699
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    References listed on IDEAS

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    Cited by:

    1. Cheng Zhan & Mingjing Guo & Jinhua Cheng & Hongxia Peng, 2022. "Evaluation of Resources and Environment Carrying Capacity Based on Support Pressure Coupling Mechanism: A Case Study of the Yangtze River Economic Belt," IJERPH, MDPI, vol. 20(1), pages 1-21, December.
    2. Zhao, Congyu & Dong, Kangyin & Wang, Kun & Dong, Xiucheng, 2023. "Can low-carbon energy technology lead to energy resource carrying capacity improvement? The case of China," Energy Economics, Elsevier, vol. 127(PA).

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