甘肃省城市收缩现象识别及影响因素研究
Identification and Influencing Factors of Urban Contraction in Gansu Province
DOI: 10.12677/GSER.2023.121013, PDF,   
作者: 苟雅宁:内蒙古师范大学地理科学学院,内蒙古 呼和浩特
关键词: 城市收缩人口收缩影响因素甘肃省Shrinking City Population Contraction Impact Factors Gansu Province
摘要: 近年来,主要表现为人口流失的城市收缩现象已成为一个全球性问题,并引起了学术界的广泛关注。随着中国总人口的缓慢增长甚至出现减少的现象,部分城市已进入收缩时代。对地级行政单元和县级行政单元的城市进行收缩分析,有助于识别各地区的收缩现象,了解其发展趋势和影响因素。本文以甘肃省为例,根据第六次和第七次全国人口普查的数据及各自年份下的数据,按照人口、经济和社会三个维度下的指标数据,从地级市和县(市、区)两个层面对甘肃省进行收缩识别,对影响城市收缩的背景因素进行定量分析。结果显示,2010年至2020年期间,甘肃省地级市和县(市、区)的城市出现大幅度收缩,陇中地区和陇东南地区存在广泛的收缩,普遍为轻度和中度的收缩,而河西地区的部分城市收缩最为严重。研究发现城市经济发展水平、城镇化进程、人口的年龄结构和个人追求匹配度是影响甘肃省城市收缩的主要因素。
Abstract: In recent years, the phenomenon of urban contraction, which is mainly manifested in population loss, has become a global problem and attracted wide attention of the academic circle. With the slow growth or even decline of China’s total population, some cities have entered an era of contraction. It is helpful to identify the shrinkage phenomenon of the cities in the district and county administrative units, and to understand the development trend and influencing factors. This paper takes Gansu province as an example, according to the data of the 6th and 7th national population census and the data of each year, according to the index data of the three dimensions of population, economy and society, this paper identifies the shrinkage of Gansu province from two levels of prefecture-level city and county (city and district), and makes quantitative analysis on the background factors affecting urban shrinkage. The results show that between 2010 and 2020, cities at the prefectural level and counties (cities and districts) in Gansu Province show substantial contraction, and there is extensive contraction, generally mild and moderate, in the Longzhong and Longdongnan regions, while some cities in the Hexi region contract most severely. It is found that the urban economic development level, urbanization process, population age structure and individual pursuit matching are the main factors affecting the urban contraction in Gansu province.
文章引用:苟雅宁. 甘肃省城市收缩现象识别及影响因素研究[J]. 地理科学研究, 2023, 12(1): 132-140. https://doi.org/10.12677/GSER.2023.121013

参考文献

[1] 姜晓晖. 空间不匹配带来城市收缩的三重逻辑——制度空间位移、政策空间悖论与行为空间失衡[J]. 人文地理, 2021, 36(6): 87-95. [Google Scholar] [CrossRef
[2] Häußermann, H. and Siebel, W. (1988) Die Schrumpfende Stadt und die Stadtsoziologie. In: Friedrichs, J., ed., Soziologische Stadtforschung, VS Verlag für Sozialwissenschaften, Wiesbaden, 78-94. [Google Scholar] [CrossRef
[3] 韩冬. 京津冀城市群收缩格局、类型及影响因素研究——以张家口市为例[J]. 城市, 2021(12): 34-44.
[4] 陈雪依, 朱烈建. 浙江省城市收缩的特征、机制及县域国土空间规划的应对——以浦江县为例[C]//中国城市规划学会, 成都市人民政府. 面向高质量发展的空间治理——2020中国城市规划年会论文集(20总体规划). 北京: 中国建筑工业出版社, 2021: 771-778.
[5] Mallach, A., Haase, A. and Hattori, K. (2017) The Shrinking City in Comparative Perspective: Contrasting Dynamics and Responses to Urban Shrinkage. Cities, 69, 102-108. [Google Scholar] [CrossRef
[6] Nelle, A., Großmann, K., Haase, D., et al. (2017) Urban Shrinkage in Germany: An Entangled Web of Conditions, Debates and Policies. Cities, 69, 116-123. [Google Scholar] [CrossRef
[7] 吴康, 孙东琪. 城市收缩的研究进展与展望[J]. 经济地理, 2017, 37(11): 59-67. [Google Scholar] [CrossRef
[8] 王国力, 王亚男. 辽宁省地级市尺度收缩城市识别[J]. 辽宁师范大学学报(自然科学版), 2020, 43(4): 552-557.
[9] 龙瀛, 吴康, 王江浩. 中国收缩城市及其研究框架[J]. 现代城市研究, 2015(9): 14-19.
[10] 吴康, 龙瀛, 杨宇. 京津冀与长江三角洲的局部收缩: 格局、类型与影响因素识别[J]. 现代城市研究, 2015(9): 26-35.
[11] 张学良, 张明斗, 肖航. 成渝城市群城市收缩的空间格局与形成机制研究[J]. 重庆大学学报(社会科学版), 2018, 24(6): 1-14.
[12] 孟祥凤, 马爽, 项雯怡, 阚长城, 吴康, 龙瀛. 基于百度慧眼的中国收缩城市分类研究[J]. 地理学报, 2021, 76(10): 2477-2488.
[13] 国家发展改革委关于印发《2020年新型城镇化建设和城乡融合发展重点任务》的通知[EB/OL].
https://www.ndrc.gov.cn/xxgk/zcfb/tz/202004/t20200409_1225431.html, 2020-04-03.
[14] 王绍博, 罗小龙. 欠发达地区人口流动及其城镇化效应——以甘肃省为例[J]. 城市问题, 2022(7): 4-11. [Google Scholar] [CrossRef
[15] 路旭, 许忠诚. 辽宁省县级城市收缩现象识别及其形成因素研究[J]. 小城镇建设, 2022, 40(1): 12-19.