李艺霖, 赵先超, 庞泽华. 村域微尺度就地城镇化潜力空间分异与影响因素研究: 以江苏省淮安市5个区县为例[J]. 生态与农村环境学报, 2024, 40(7): 897-907. DOI: 10.19741/j.issn.1673-4831.2023.0388
    引用本文: 李艺霖, 赵先超, 庞泽华. 村域微尺度就地城镇化潜力空间分异与影响因素研究: 以江苏省淮安市5个区县为例[J]. 生态与农村环境学报, 2024, 40(7): 897-907. DOI: 10.19741/j.issn.1673-4831.2023.0388
    LI Yi-lin, ZHAO Xian-chao, PANG Ze-hua. The Spatial Differentiation and Influencing Factors of In-situ Urbanization Potential Based on Village Micro Scale: A Case Study of Five Districts and Counties of Huai'an City, Jiangsu Province[J]. Journal of Ecology and Rural Environment, 2024, 40(7): 897-907. DOI: 10.19741/j.issn.1673-4831.2023.0388
    Citation: LI Yi-lin, ZHAO Xian-chao, PANG Ze-hua. The Spatial Differentiation and Influencing Factors of In-situ Urbanization Potential Based on Village Micro Scale: A Case Study of Five Districts and Counties of Huai'an City, Jiangsu Province[J]. Journal of Ecology and Rural Environment, 2024, 40(7): 897-907. DOI: 10.19741/j.issn.1673-4831.2023.0388

    村域微尺度就地城镇化潜力空间分异与影响因素研究: 以江苏省淮安市5个区县为例

    The Spatial Differentiation and Influencing Factors of In-situ Urbanization Potential Based on Village Micro Scale: A Case Study of Five Districts and Counties of Huai'an City, Jiangsu Province

    • 摘要: 就地城镇化是实现新型城镇化战略的主要路径, 对促进我国乡村振兴与城乡可持续发展具有重要意义。以淮安市962个行政村为案例地, 尝试采用农户城镇购房率界定就地城镇化潜力, 运用核密度分析、空间自相关分析刻画就地城镇化潜力的空间格局, 进而使用地理探测器与地理加权回归识别主导影响因素。结果表明: (1)淮安市就地城镇化潜力达28.0%, 但两极分化现象明显。其中, 洪泽区最高, 达44.4%。(2)淮安市就地城镇化潜力呈现两头高、中间低的橄榄型圈层空间格局; 空间自相关特征显著, 热点区集中于涟水县和洪泽区, 冷点区分布在主城区东北侧和西南侧。(3)淮安市就地城镇化潜力的主导因子依次为至市中心便捷度、常年在外农户占比、质量较好住房占比、至中等教育机构便捷度、发展类自然村占比等; 其中, 至市中心便捷度与至县城便捷度的交互力最强, 大多数因子均与至市中心便捷度发生交互。(4)常年在外农户占比、质量较好住房占比、开发强度、至中等教育机构便捷度、至市中心便捷度、发展类自然村占比具有大小不一的空间异质性。基于研究结论, 提出要因地制宜、统筹兼顾推进乡村就地城镇化工作。

       

      Abstract: In-situ urbanization serves as the primary pathway to actualize the new urbanization strategy, which holds immense significance for promoting China's rural rejuvenation and urban-rural sustainable development. With the data collected from 962 administrative villages in Huai'an, the ratio of rural population that had already purchased housing units in urban areas was examined in an attempt to elucidate the potential for in-situ urbanization, and kernel density analysis and spatial autocorrelation analysis were used to depict the spatial configuration of in-situ urbanization potential, so as to identify the prevailing influencing factors with the help of geographic probes and GWR. The findings indicate that: (1) Huai'an's in-situ urbanization potential attains 28.0%, but the polarization phenomenon is conspicuous within the region, where Hongze District stands out, reaching 44.4%. (2) Huai'an's potential for in-situ urbanization is spatially delineated by two high ends and a depressed central region type; the spatial correlation is substantial, with hot spots concentrated in Lianshui County and Hongze District, and cold spots in the northeast and southwest of the central downtown. (3) The dominant factors influencing Huai'an's in-situ urbanization potential are, in sequence, the proximity and transportation convenience to the urban center, the proportion of rural inhabitants working away from their domicile on an annual basis, the ratio of superior quality housing, the accessibility to secondary educational institutions, and the proportion of villages in development, etc. Among these, the proximity to the county interacts most influentially with the accessibility to the urban center, with most of these factors interplaying with the accessibility to the urban center. (4) Factors including the proportion of rural inhabitants working away from their domicile on an annual basis, the ratio of superior quality housing, the intensity of development, the accessibility to secondary educational institutions and the urban center, as well as the proportion of villages in development exhibit varying degrees of spatial heterogeneity. Upon the aforesaid research discoveries, the initiatives to advance rural local urbanization ought to be tailored to local contexts with overall planning and all-round consideration.

       

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