多维视域下县城建设发展水平测度、时空演变与影响因素研究——基于陕西省 72 县的实证分析

Research on the Measurement, Spatio-temporal Evolution, and Influencing Factors of County Town Construction and Development Level from a Multidimensional Perspective: An Empirical Analysis Based on 72 Counties in Shaanxi Province

  • 摘要: 县城建设是推进新型城镇化和乡村振兴的重要途径和必然选择。本文从“经济—宜居—保障—潜力”的多维融合出发,据此构建陕西省县城建设发展水平指标体系,基于熵值法测度2015—2022年陕西省72个县城的建设发展水平,进而采用ESDA模型揭示县城建设的时空演变特征和空间关联性,最后运用地理探测器模型挖掘县城建设发展水平的重要影响因素。研究发现:1)陕西省县城建设发展水平整体较低并呈波动趋势。2)陕西省县城建设发展水平存在类型差异,3种类型县城在建设水平与增长速度的排名上完全相反。 3)陕西省县城建设发展水平围绕着“一圈”与“四极”空间集聚效应明显集中,空间分布格局由“低水平、高差距”向“高水平、低差距”转变且空间集聚效应整体趋于加强。4)影响陕西省县城建设发展水平的主要驱动因素包括社会消费品零售总额、法人单位数、实际到位资金、城市建设用地面积等。

     

    Abstract: County town construction serves as a crucial approach and an inevitable choice for advancing newtype urbanization and rural revitalization. Starting from the multidimensional integration of 'economy-livabilitysecurity-potential', this paper constructs an indicator system for assessing the construction and development level of county towns in Shaanxi Province. Based on the entropy method, it measures the construction and development level of 72 county towns in Shaanxi Province from 2015 to 2022. Subsequently, it employs the ESDA model to uncover the spatio-temporal evolution characteristics and spatial correlations of county town construction. Finally, it utilizes the geographical detector model to identify the significant influencing factors of the construction and development level of county towns. The study finds that: 1) The overall construction and development level of county towns in Shaanxi Province is relatively low and exhibits a fluctuating trend. 2) There are type-based disparities in the construction and development level of county towns in Shaanxi Province, with the rankings of construction level and growth rate being completely opposite among the three types of county towns. 3) The construction and development level of county towns in Shaanxi Province shows a pronounced spatial agglomeration effect centered around 'one circle' and 'four poles'. The spatial distribution pattern has shifted from 'low level, high disparity' to 'high level, low disparity', and the overall spatial agglomeration effect tends to strengthen. 4) The main driving factors influencing the construction and development level of county towns in Shaanxi Province include the total retail sales of consumer goods, the number of legal entities, the actually invested funds, and the area of urban construction land, among others.

     

/

返回文章
返回