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Research on the Multidimensional Valuation and Spatial Differentiation of Cultivated Land Resources in the Pearl River–Xijiang Economic Belt, China

Author

Listed:
  • Zhantu Chen

    (Guangxi Key Laboratory of Environmental Processes and Remediation in Ecologically Fragile Regions, College of Environment and Resources, Guangxi Normal University, Guilin 541004, China
    University Engineering Research Center of Green Remediation and Low Carbon Development for Lijiang River Basin, Guangxi Normal University, Guilin 541004, China)

  • Lulu Deng

    (College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China)

  • Yiman Chen

    (Guangxi Key Laboratory of Environmental Processes and Remediation in Ecologically Fragile Regions, College of Environment and Resources, Guangxi Normal University, Guilin 541004, China)

  • Feili Wei

    (Guangxi Key Laboratory of Environmental Processes and Remediation in Ecologically Fragile Regions, College of Environment and Resources, Guangxi Normal University, Guilin 541004, China
    University Engineering Research Center of Green Remediation and Low Carbon Development for Lijiang River Basin, Guangxi Normal University, Guilin 541004, China)

Abstract

Revealing the multidimensional value and spatial distribution of cultivated land (CL) resources is crucial for formulating scientific and reasonable CL protection policies and regional ecological supplements. This study takes the Pearl River–Xijiang Economic Belt (PRXJEB), China, as the study area, calculates the economic, social, ecological, and comprehensive values of CL resources based on the county scale, and analyzes the spatial distribution characteristics and influencing factors of CL resource value so as to provide a reference for protecting CL resources in the PRXJEB and promoting the healthy and scientific development of the economic belt. The income reduction method, alternative market method, and equivalent factor method were applied to calculate the economic, social, and ecological values of CL resources in 88 counties in 2021, respectively. Furthermore, spatial autocorrelation analysis was employed to reveal their distribution characteristics and influencing factors. The results show that (1) there are significant differences in the value of CL resources in the counties of the PRXJEB, and the value of CL resources is generally low. (2) The value of CL resources in the PRXJEB generally follows a distribution pattern of “higher in the east and lower in the west”. (3) The value of CL resources in the PRXJEB is mainly affected by natural conditions and the level of socio-economic development. Therefore, in view of the low value of CL resources and its spatial differentiation characteristics in the PRXJEB, it is recommended to strengthen land consolidation and improve the quality of CL, improve CL infrastructure and strengthen the introduction of agricultural science and technology, enhance policies to benefit farmers, and adjust farmers’ behaviour.

Suggested Citation

  • Zhantu Chen & Lulu Deng & Yiman Chen & Feili Wei, 2025. "Research on the Multidimensional Valuation and Spatial Differentiation of Cultivated Land Resources in the Pearl River–Xijiang Economic Belt, China," Sustainability, MDPI, vol. 17(4), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:4:p:1539-:d:1590100
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    References listed on IDEAS

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    1. Monika Balawejder & Artur Warchoł & Kalle Konttinen, 2023. "Energy Efficiency in Agricultural Production—Experience from Land Consolidation in Poland and Finland," Energies, MDPI, vol. 16(22), pages 1-29, November.
    2. Zhantu Chen & Li Ren & Ling Xie & Qiong Xiao, 2023. "Multidimensional Valuation and Spatial Differentiation of Cultivated Land Resources at the County Scale: A Case Study of Guangxi, China," Land, MDPI, vol. 12(10), pages 1-18, October.
    3. Turner, Katrine Grace & Anderson, Sharolyn & Gonzales-Chang, Mauricio & Costanza, Robert & Courville, Sasha & Dalgaard, Tommy & Dominati, Estelle & Kubiszewski, Ida & Ogilvy, Sue & Porfirio, Luciana &, 2016. "A review of methods, data, and models to assess changes in the value of ecosystem services from land degradation and restoration," Ecological Modelling, Elsevier, vol. 319(C), pages 190-207.
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