Abstract
This paper takes the population of Guangdong-Hong Kong-Macao Greater Bay Area as the research object, and analyzes the evolution of population spatial pattern of Guangdong-Hong Kong-Macao Greater Bay area. According to the data, eleven areas of “two districts and nine cities” in Guangdong-Hong Kong-Macao Greater Bay area district are divided into three levels; the relative migration index is used to divide them into relative moving in areas and relative moving out areas, on the other hand, using the spatial panel data regression model to analyze the influencing factors of the evolution of the spatial pattern of population in Guangdong, Hong Kong and Macao. The main conclusions are as follows: 1) from 2005 to 2017, the spatial distribution of population in Guangdong-Hong Kong-Macao Greater Bay area shows a trend of continuous aggregation. The geographic concentration of population in Shenzhen, Dongguan, Hong Kong and Macao is relatively high. Guangzhou, Foshan, Shenzhen and Zhongshan belong to the region of relative migration. 2) This paper selects the quality of basic education, housing price, industrial structure, medical service level, traffic convenience and income level as independent variables, adds the spatial weight matrix, and uses the spatial error model to regress the geographic concentration of population. Main results: income level, industrial structure, medical condition and traffic convenience level all promote the population agglomeration of Guangdong-Hong Kong-Macao Greater Bay area.
Highlights
Eleven areas of “two districts and nine cities” in Guangdong-Hong Kong-Macao Greater Bay area district are divided into three levels; the relative migration index is used to divide them into relative moving in areas and relative moving out areas, on the other hand, using the spatial panel data regression model to analyze the influencing factors of the evolution of the spatial pattern of population in Guangdong, Hong Kong and Macao
2) This paper selects the quality of basic education, housing price, industrial structure, medical service level, traffic convenience and income level as independent variables, adds the spatial weight matrix, and uses the spatial error model to regress the geographic concentration of population
This paper makes a series of spatial analysis on the data of Guangdong-Hong Kong-Macao Greater Bay area from 2005 to 2017, aiming to analyze the spatial aggregation characteristics and related trends of population in Guangdong-Hong Kong-Macao Greater Bay area, and to explore the influencing factors of spatial distribution of population in Guangdong-Hong Kong-Macao Greater Bay area
Summary
The implementation of the development strategy of Guangdong-Hong Kong-Macao Greater Bay area will definitely further attract more foreign people, and the population will gather in a large number in a certain area, which will promote the rapid development of economy and other aspects, and bring a series of problems such as environmental pollution, traffic congestion, housing shortage, and medical stress. It is of great theoretical and practical significance to study the evolution characteristics and influencing factors of the spatial distribution of population in Guangdong-Hong Kong-Macao Greater Bay area for the optimization of regional industries, the rational allocation of resources and the management of population regulation in the future
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