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Allocation Efficiency, Influencing Factors and Optimization Path of Rural Land Resources: A Case Study in Fang County of Hubei Province, China

Author

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  • Bin Yang

    (School of Public Administration, China University of Geosciences (Wuhan), Wuhan 430074, China)

  • Zhanqi Wang

    (School of Public Administration, China University of Geosciences (Wuhan), Wuhan 430074, China)

  • Bo Zhang

    (Department of Geography, University of Connecticut, Storrs, CT 06269, USA)

  • Di Zhang

    (School of Public Administration, China University of Geosciences (Wuhan), Wuhan 430074, China)

Abstract

Land resource allocation efficiency (LRAE) is a significant indicator in weighing regional socioeconomic development. The study of LRAE can provide useful references for optimizing the layout of rural land use and conducting village planning against the background of rural revitalization strategy. Taking Fang County of Hubei Province as an example, we constructed an efficiency measurement index system based on economic, social, and ecological objectives. The slack-based measure with undesirable output (SBM-Undesirable) model and geodetector model were used to evaluate the rural LRAE, influencing factors and optimization paths from 2011 to 2017. The results suggest that: (1) the rural LRAE in Fang County shows a steady upward trend, with an average increasing rate of 9.204%. The townships in the north and south of the study area have a low LRAE value, and townships in the central area have a high LRAE value. The number of villages at low or medium-low LRAE is decreasing, and the number of villages with medium-high or high LRAE continued to increase from 2011 to 2017. (2) The spatial variation in LRAE in Fang County is affected by physical geography conditions, rural development conditions, and urban-rural relations. The impact of the proportion of primary industry and rural population has always been influential on the LRAE. Physical geography conditions have a relatively strong impact on the LRAE, but their values are decreasing. The influences of the Engel coefficient, urbanization rate and gap between the rural and urban resident’s income have been continuously enhanced. (3) All land types have obvious input redundancies, and reducing these redundancies can help achieve the optimal allocation of rural land resources. In the future, it is of significance to prioritize low-carbon and green developments, and to promote sustainable rural development.

Suggested Citation

  • Bin Yang & Zhanqi Wang & Bo Zhang & Di Zhang, 2020. "Allocation Efficiency, Influencing Factors and Optimization Path of Rural Land Resources: A Case Study in Fang County of Hubei Province, China," IJERPH, MDPI, vol. 17(16), pages 1-16, August.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5898-:d:398887
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