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农村土地资源配置效率、影响因素及其优化路径——以湖北省房县为例

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

机构信息

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

Department of Geography, University of Connecticut, Storrs, CT 06269, USA.

出版信息

Int J Environ Res Public Health. 2020 Aug 14;17(16):5898. doi: 10.3390/ijerph17165898.

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.

摘要

土地资源配置效率(LRAE)是衡量区域社会经济发展的重要指标。研究 LRAE 可以为优化农村土地利用布局、实施乡村振兴战略下的村庄规划提供有益参考。以湖北省房县为例,构建了基于经济、社会和生态目标的效率测度指标体系,采用基于松弛的非期望产出 SBM 模型(SBM-Undesirable)和地理探测器模型,测度了 2011—2017 年房县农村 LRAE 及其影响因素和优化路径。结果表明:(1)房县农村 LRAE 呈稳步上升趋势,平均增长率为 9.204%。研究区南北乡镇 LRAE 值较低,中部乡镇 LRAE 值较高。低、中低 LRAE 村数量减少,中高、高 LRAE 村数量持续增加。(2)房县农村 LRAE 的空间分异受自然地理条件、农村发展条件和城乡关系的影响。第一产业比重和农村人口对 LRAE 的影响一直较大,自然地理条件对 LRAE 的影响较强,但呈下降趋势,恩格尔系数、城镇化率和城乡居民收入差距的影响不断增强。(3)各类土地投入均存在明显冗余,减少冗余有助于实现农村土地资源的优化配置。未来应重视低碳绿色发展,促进乡村可持续发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0e0/7460305/069b05bd3794/ijerph-17-05898-g001.jpg

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