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>Evolution of Spatial Pattern and Influencing Factors of Population in Guangdong-Hong Kong-Macao Greater Bay Area
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Evolution of Spatial Pattern and Influencing Factors of Population in Guangdong-Hong Kong-Macao Greater Bay Area
This paper takes the population of Guangdong-Hong Kong-Macao Greater BayArea as the research object, and analyzes the evolution of population spatialpattern of Guangdong-Hong Kong-Macao Greater Bay area. According to the data,eleven areas of “two districts and nine cities” in Guangdong-Hong Kong-MacaoGreater Bay area district are divided into three levels; the relative migrationindex is used to divide them into relative moving in areas and relative movingout areas, on the other hand, using the spatial panel data regression model toanalyze the influencing factors of the evolution of the spatial pattern ofpopulation in Guangdong, Hong Kong and Macao. The main conclusions are asfollows: 1) from 2005 to 2017, the spatial distribution of population inGuangdong-Hong Kong-Macao Greater Bay area shows a trend of continuousaggregation. The geographic concentration of population in Shenzhen, Dongguan,Hong Kong and Macao is relatively high. Guangzhou, Foshan, Shenzhen andZhongshan belong to the region of relative migration. 2) Thispaper selects the quality of basic education, housing price, industrial structure,medical service level, traffic convenience and income level as independentvariables, adds the spatial weight matrix, and uses the spatial error model toregress the geographic concentration of population. Main results: income level, industrial structure, medicalcondition and traffic convenience level all promote the populationagglomeration of Guangdong-Hong Kong-Macao Greater Bay area.
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