Spatial distribution of rural population using mixed geographically weighted regression: Evidence from Jiangxi Province in China.

ABSTRACT: On the basis of the spatial panel data of 2000, 2005, 2010, and 2015, this study uses a mixed geographically weighted regression model to explore the spatial distribution characteristics and influencing factors of the rural (permanent) population in Jiangxi Province, China. Results show that residents in the county area have a significant spatial positive autocorrelation, especially in the lake and mountain areas and the global Moran' I index is more than 0.05. The influence of social and economic factors presents spatial homogeneity. The effect of urbanization and per capita disposable income is negative, whereas that of agricultural output value and rural electricity consumption is positive. The influence of climate factors presents spatial heterogeneity. The influence coefficient of rai

SUBMITTER: Zhang L 

PROVIDER: S-EPMC8075265 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature