代雪玲, 何苑. 甘肃省人口城镇化的时空特征、影响因素及国土空间优化启示[J]. 小城镇建设, 2022, 40(7): 10-16,30. DOI: 10.3969/j.issn.1009-1483.2022.07.003 
引用本文: 代雪玲, 何苑. 甘肃省人口城镇化的时空特征、影响因素及国土空间优化启示[J]. 小城镇建设, 2022, 40(7): 10-16,30. DOI: 10.3969/j.issn.1009-1483.2022.07.003 
DAI Xueling, HE Yuan. Spatio-temporal Characteristics, Influencing Factors of Population Urbanization and the Enlightenment of Territorial Space Optimization in Gansu Province[J]. Development of Small Cities & Towns, 2022, 40(7): 10-16,30. DOI: 10.3969/j.issn.1009-1483.2022.07.003 
Citation: DAI Xueling, HE Yuan. Spatio-temporal Characteristics, Influencing Factors of Population Urbanization and the Enlightenment of Territorial Space Optimization in Gansu Province[J]. Development of Small Cities & Towns, 2022, 40(7): 10-16,30. DOI: 10.3969/j.issn.1009-1483.2022.07.003 

甘肃省人口城镇化的时空特征、影响因素及国土空间优化启示

Spatio-temporal Characteristics, Influencing Factors of Population Urbanization and the Enlightenment of Territorial Space Optimization in Gansu Province

  • 摘要: 本文以甘肃省14个地级城市为研究对象,在进行空间数据分析的基础上,利用空间面板数据构建空间计量模型,分析2008—2018年人口城镇化水平差异的时空特征及影响因素。结果表明:(1)甘肃省人口城镇化水平在空间上总体呈现河西地区高—陇东南地区低的分布格局,区域空间差异明显,并且人口城镇化的发展速度表现出中部地区>陇东南地区>河西地区的发展态势。(2)甘肃省人口城镇化全局空间自相关显著,局部空间格局相对稳定,聚集态势逐渐减弱,同时冷热点区的空间分布相对稳定,大致呈现出“西热东冷”的团块状聚集分布状态。(3)甘肃省人口城镇化水平空间差异受到经济、社会发展等因素不同程度的共同影响,而城乡收入差距、产业结构、区域创新能力、对外开放水平是主要的影响因素。

     

    Abstract: This paper takes 14 prefecture-level cities in Gansu Province as the research object, on the basis of exploratory spatial data analysis, the spatial measurement model is constructed using spatial panel data to analyze the temporal and spatial characteristics and influencing factors of the difference in population urbanization levels from 2008 to 2018. The results show that:(1) The spatial distribution pattern of population urbanization level in Gansu Province is high in Hexi region and low in Southeast Gansu region. The regional spatial difference is obvious, and the development speed of population urbanization in Gansu Province shows the development trend of central area>Southeast Gansu region>Hexi area. (2) The global spatial autocorrelation of population urbanization in Gansu Province is significant, showing obvious agglomeration distribution characteristics, the spatial pattern remains relatively stable. At the same time, the spatial distribution of cold and hot spots is relatively stable, and the clumped distribution is roughly 'hot in the west and cold in the east'. (3) The spatial difference of population urbanization in Gansu Province is jointly affected by economic and social development, and the urban-rural income gap, industrial structure, regional innovation ability and the level of opening to the outside world are the main factors.

     

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