Urban agglomeration(UA)is an advanced spatial economic form formed and developed in the process of rapid industrialization and urbanization,and an important carrier of urbanization and economic development.The economy...Urban agglomeration(UA)is an advanced spatial economic form formed and developed in the process of rapid industrialization and urbanization,and an important carrier of urbanization and economic development.The economy has developed rapidly in the recent decades of China,and the UAs have also developed rapidly.However,as a large population country,the population distribution and changes of UAs in China has unique characteristics.Using the fifth,sixth and seventh population census data,spatial auto-correlation and spatial econometric models,we analyzed the spatial-temporal evolution characteristics and influencing factors of population agglomeration in China’s UAs.Results revealed that:1)from 2000 to 2020,the population gradually converged into UAs,and the characteristics of population agglomeration in different development degree of UAs differ.The higher the development degree of UA,the higher the population agglomeration degree.Besides,UAs are the main area with the most significant population agglomeration degree,and the spatial autocorrelation show that the cities with similar degree tend to be concentrated in space.The urban population gathering in UAs has a certain positive spillover effect on population size of neighboring cities.2)Economic development and social conditions factors are important factors affecting population agglomeration degree in UAs.The main factors of population gather into UAs are similar with the outside UAs,but the positive promotion of urbanization rate and proportion of tertiary industry in GDP on population agglomeration of UAs in China are enhancing from 2000 to 2020.Meanwhile,the other factors,such as high-quality public services,good urban living environment conditions,high-quality medical and educational resources,are also important factors to promote urban population gather into UAs.This study provides a basis for formulating the development planning of UAs in China,and enriches the relevant theoretical research of population evolution and influencing factors of UAs.展开更多
Due to the continuous development of information technology, people's perception of real life is more based on the information acquired on the real environment with the help of various media, rather than intuition...Due to the continuous development of information technology, people's perception of real life is more based on the information acquired on the real environment with the help of various media, rather than intuition. Based on priority evaluation data obtained from dianping.com(Liaoning Province), and the established criteria for assessing pseudo habitat environment quality, this study uses the entropy method to calculate and rank the comprehensive score of each merchant's word-of-mouth evaluation. It analyzes the spatial pattern and differentiation characteristics of pseudo environment quality, as well. Results show that:(1) The overall quality scores of the pseudo living environment in southern, central, and northern Liaoning are higher than those in eastern and western area. The pseudo habitat environment quality score of coastal cities is relatively higher than that of inland cities; and that of cities with high resource depletion is lower.(2) Parent-child activity, learning and training, and sports & health have significant impact, whereas hotels and peripheral tours have less impact on the pseudo habitat environment quality in Liaoning province. The overall pseudo habitat environment quality score of a city is inversely proportional to the total scores of various indicators in the city.(3) The spatial distribution of pseudo habitat quality in Liaoning Province shows a "saddle" structure. The spatial heterogeneity of the pseudo habitat environment in central and northern Liaoning areas is larger than that in eastern, western, and southern areas of Liaoning. The degree of quality of the pseudo habitat environment is proportional to the size of its spatial differentiation degree in total.展开更多
基金Under the auspices of National Planning Office of Philosophy and Social Science(No.17BRK010)。
文摘Urban agglomeration(UA)is an advanced spatial economic form formed and developed in the process of rapid industrialization and urbanization,and an important carrier of urbanization and economic development.The economy has developed rapidly in the recent decades of China,and the UAs have also developed rapidly.However,as a large population country,the population distribution and changes of UAs in China has unique characteristics.Using the fifth,sixth and seventh population census data,spatial auto-correlation and spatial econometric models,we analyzed the spatial-temporal evolution characteristics and influencing factors of population agglomeration in China’s UAs.Results revealed that:1)from 2000 to 2020,the population gradually converged into UAs,and the characteristics of population agglomeration in different development degree of UAs differ.The higher the development degree of UA,the higher the population agglomeration degree.Besides,UAs are the main area with the most significant population agglomeration degree,and the spatial autocorrelation show that the cities with similar degree tend to be concentrated in space.The urban population gathering in UAs has a certain positive spillover effect on population size of neighboring cities.2)Economic development and social conditions factors are important factors affecting population agglomeration degree in UAs.The main factors of population gather into UAs are similar with the outside UAs,but the positive promotion of urbanization rate and proportion of tertiary industry in GDP on population agglomeration of UAs in China are enhancing from 2000 to 2020.Meanwhile,the other factors,such as high-quality public services,good urban living environment conditions,high-quality medical and educational resources,are also important factors to promote urban population gather into UAs.This study provides a basis for formulating the development planning of UAs in China,and enriches the relevant theoretical research of population evolution and influencing factors of UAs.
基金Sponsored by National Nature Science Foundation of China(41671158)Ph.D.Programs Foundation of Ministry of Education(20132136110001)Program for Liaoning Excellent Talents in University(LR2013050)
文摘Due to the continuous development of information technology, people's perception of real life is more based on the information acquired on the real environment with the help of various media, rather than intuition. Based on priority evaluation data obtained from dianping.com(Liaoning Province), and the established criteria for assessing pseudo habitat environment quality, this study uses the entropy method to calculate and rank the comprehensive score of each merchant's word-of-mouth evaluation. It analyzes the spatial pattern and differentiation characteristics of pseudo environment quality, as well. Results show that:(1) The overall quality scores of the pseudo living environment in southern, central, and northern Liaoning are higher than those in eastern and western area. The pseudo habitat environment quality score of coastal cities is relatively higher than that of inland cities; and that of cities with high resource depletion is lower.(2) Parent-child activity, learning and training, and sports & health have significant impact, whereas hotels and peripheral tours have less impact on the pseudo habitat environment quality in Liaoning province. The overall pseudo habitat environment quality score of a city is inversely proportional to the total scores of various indicators in the city.(3) The spatial distribution of pseudo habitat quality in Liaoning Province shows a "saddle" structure. The spatial heterogeneity of the pseudo habitat environment in central and northern Liaoning areas is larger than that in eastern, western, and southern areas of Liaoning. The degree of quality of the pseudo habitat environment is proportional to the size of its spatial differentiation degree in total.
