中国县域乡村人口收缩的空间识别及驱动机制:基于斑块尺度的研究
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华中科技大学公共管理学院

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国家自然科学基金项目(No. 42371424,No. 42001334);湖北省自然科学基金(2023AFB630)


Exploring the Identification and Driving Mechanisms of Rural Shrinkage in China"s Counties: Based on a Patch-Scale Measurement
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    摘要:

    在当前快速城镇化的进程中,随着人口流动规模持续增长,深入理解县域乡村人口变化规模对于推进城乡一体化发展具有核心价值。利用农村居民点的具体地理信息数据(如居民点图斑和高分辨率人口分布数据LandScan),创新性地构建人口收缩指数指标,以此来系统性检测2000年至2020年间我国农村居民点在斑块尺度上的人口密度动态变化情况,并全面分析了全国2847个县域范围内农村居民点人口收缩的空间分布特点。研究结果显示:(1)收缩斑块在淮河流域突出集中,西部地区居民点以轻度收缩为主,东部沿海居民点多为重度收缩。(2)在县域层面,乡村人口收缩现象显示出显著的地域差异性,形成了“两带多集聚区”的空间格局特征,不同行政区划类型的县市呈现出差异化的人口收缩特性。(3)城镇化水平(UR)、教育服务水平(EDU)、农业机械化水平(ARG)是我国县域乡村内部收缩最显著的3个影响因素。交互作用层面,教育服务水平和农村收入水平的组合作用解释力最强。通过此项研究,有望为剖析县域内人地关系、优化农村居民点规划布局、促进资源高效集约利用提供有力的实证依据及科学指导。

    Abstract:

    Amidst the ongoing rapid urbanization and escalating population mobility, gaining a profound understanding of population shifts in county rural areas is paramount for fostering integrated urban-rural development. Leveraging precise geographic data on rural settlements, including settlement patches and LandScan - a high-resolution population distribution dataset - we innovatively devised a population contraction index. This index systematically tracks the dynamic changes in population density at the patch scale across China's rural settlements from 2000 to 2020. Our comprehensive analysis encompasses population contraction within 2,847 counties nationwide, revealing distinct spatial distribution patterns. The findings indicate: (1) Notable concentrations of shrinkage patches in the Huaihe River Basin, with western settlements primarily experiencing mild shrinkage and eastern coastal settlements mostly undergoing heavy shrinkage. (2) At the county level, rural population contraction exhibits significant regional disparities, characterized by a spatial configuration of "two belts and multiple agglomerations." Administrative divisions further differentiate population contraction traits among counties and cities. (3) Urbanization (UR), educational services (EDU), and agricultural mechanization (ARG) are the pivotal factors shaping rural county contraction in China. Notably, the interplay between educational service level and rural income level wields the strongest explanatory influence. This research aims to furnish a robust empirical foundation and scientific direction for dissecting the human-land nexus within counties, refining rural settlement planning, and advocating for efficient, intensive resource utilization.

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  • 收稿日期:2024-06-16
  • 最后修改日期:2024-09-21
  • 录用日期:2024-09-24
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