TITLE:
Evolution of Spatial Pattern and Influencing Factors of Population in Guangdong-Hong Kong-Macao Greater Bay Area
AUTHORS:
Hegang Yao
KEYWORDS:
Guangdong-Hong Kong-Macao Greater Bay Area, Geographical Concentration, Influencing Factors, Spatial Distribution, Population
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.8 No.4,
April
2,
2020
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.