热带地理

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广东省市际边界城镇发展的空间类型划分

廖开怀(), 陈姝卉()   

  1. 广东工业大学 建筑与城市规划学院,广州 510060
  • 收稿日期:2021-04-06 修回日期:2021-06-08 出版日期:2022-01-11
  • 通讯作者: 陈姝卉 E-mail:kaihuai121@126.com;18360928147@163.com
  • 作者简介:廖开怀(1984—),男,江西寻乌人,副教授,博士,硕士生导师,主要研究方向为边界、城市地理与规划,(E-mail)kaihuai121@126.com
  • 基金资助:
    国家自然科学基金面上项目(41971196);广东省自然科学基金面上项目(2021A1515012247);广东省社科规划(GD20SQ16)

Identification of Spatial Development Types of Inter-City Border Towns in Guangdong Province, China

Kaihuai Liao(), Shuhui Chen()   

  1. School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510060, China
  • Received:2021-04-06 Revised:2021-06-08 Online:2022-01-11
  • Contact: Shuhui Chen E-mail:kaihuai121@126.com;18360928147@163.com

摘要:

利用中国县域统计年鉴(乡镇卷)和中国GDP空间分布公里网格数据集等各类数据,采用因子分析、莫兰指数和GIS分组分析法,对广东省市际边界城镇发展的空间类型进行定量的实证研究。结果表明,广东省市际边界城镇空间结构由公共服务设施与旅游资源类、企业与人口集聚类、生态本底资源类、人民生活水平类以及边缘艰苦类5个主成分因子构成,不同主因子的空间关联性存在差异,其中生态本底资源类和企业与人口集聚类主因子的空间关联性最强,而边缘艰苦类主因子的空间关联性最弱。市际边界城镇的空间发展类型可以划分为高生活水平型发展强镇、产业与人口集聚型发展强镇、产业与公服配套型发展强镇、公服滞后型发展强镇、生态发展型一般镇、生态与旅游型发展一般镇、边缘山区型发展弱镇7类。自然资源禀赋与区位、社会经济发展水平和产业结构、历史基础、政府政策和文化差异为影响市际边界城镇发展空间类型的5大因素。

关键词: 市际边界城镇, 空间结构, 发展类型, GIS分组分析, 广东省

Abstract:

The identification of spatial development types of border areas is one of the research hotspots in human-economic geography. Current studies mostly focus on border areas affected by provincial boundaries, and limited studies have explored the spatial structure and development types of border towns affected by inter-city boundaries. Based on multiple types of data, such as China County Statistical Yearbook (villages and towns volume) and 1-kilometer grid GDP dataset of China, this study used quantitative methods of factor analysis, Moran's I, and GIS grouping analysis to explore the spatial development types of inter-city border towns in Guangdong Province. A total of 564 inter-city border towns were chosen for the study. The results show that: (1) the spatial structure of the inter-city border towns in Guangdong Province comprises five principal component factors: public service facilities and tourism resources, enterprises and population agglomeration, ecological background resources, people's living standards, and margin and poverty. Different principal component factors have different spatial correlation coefficients. The factors of ecological background resources and enterprises and population agglomeration have the strongest spatial autocorrelations, while the margin and poverty factor has the weakest spatial autocorrelation. (2) The spatial distribution pattern of the ecological background resources factor is consistent with the topographic distribution, indicating a trend of agglomeration in the plains of the Pearl River Delta, Chaozhou-Jieyang-Shantou area, and Zhanjiang-Maoming junction area. The spatial distribution pattern of the enterprises and population agglomeration factor shows a gradually decreasing distribution from the Pearl River Delta to eastern, western, and northern Guangdong. The spatial distribution pattern of the margin and poverty factor shows the characteristics of "small aggregation and large dispersion" outside the Pearl River Delta of Guangdong Province. (3) According to the strengths and weaknesses of the town and level of development, there are seven types of spatial development of inter-city border towns: strong development towns with a high standard of living, with industry and population agglomeration, with industry and public service support, with a lagging development in public service, and general towns with ecological development, ecological and tourism development, and remote and mountainous weak development towns. There is significant spatial heterogeneity between the different types of border towns. The inter-city border towns in Guangdong Province have outstanding characteristics of "core-periphery" from the perspective of the development level, and the barrier effect of the inter-city border is significant between the inside and outside of the Pearl River Delta. (4) The spatial heterogeneity of Guangdong's inter-city border towns can be attributed to five major factors: natural resource endowment and location, socio-economic development level and industrial structure, historical evolution, government policies and cultural differences. The research results can provide scientific support for countering the barrier effect of inter-city borders and formulating classification guidelines and policy measures for the development of border towns.

Key words: Inter-city border towns, spatial structure, development types, GIS grouping analysis, Guangdong Province

中图分类号: 

  • K901