Socio-economic and demographic data of Henan Province, China, 2010&2020
Description
This study examined the county-level administrative regions in the province of Henan from 2010 to 2020. The relevant data on the floating population and socio-economic development come from the sixth and seventh national censuses (2010 and 2020, respectively), the Henan Statistical Yearbook, the China Statistical Yearbook for the regional economy, and the National Bureau of Statistics annual statistics. The floating population is defined as migrants who have been residing in one county for over six months and have not moved to a new place of household domicile. In this study, the migrant population in input areas was counted as positive, while the output areas were negative. In this study, counties and provincial municipalities are taken as the basic units. Due to the high mobility of the population within the same municipal district and the difficulty of counting the data, this paper combines the prefectural municipal districts as one research unit. Notably, since 31 December 2019, Huaiyang County has been part of Zhoukou City. The dataset includes the regional household population, the resident population, and the floating population. In addition, Gross Domestic Product (GDP) was used to demonstrate the scale and level of regional economic development. The average wage of employed persons (WAGE) was used to indicate the local wage level. The secondary industry as a share of GDP(SECO) was used to indicate the industrial structure. Local government general budgetary expenditure per capita (EXPEN) represents the effect of the government on economic development, reflecting the general level of public services and social welfare. Per capita education expenditure (EDU) to indicate the education level. The number of qualified doctors to indicate medical service quality. In this study, the influence of the independent variables was first assessed using the OLS model. In addition, variables with significance levels of over 5% and multicollinearity issues were eliminated from the OLS model. Finally, an analysis of the spatially varying relationship between floating populations and potential influencing factors is presented in this study using the GWR model by ArcGIS 10.2.