Study on the Spatio-Temporal Evolution of Rural Hollowing Out and Influencing Factors——Taking Mishan City as an Example
This paper takes Mishan City,Heilongjiang Province,as the study area,and measures the level of rural hollowing from both time and space dimensions based on rural household electricity consumption data and house-hold survey data.An indicator system was established from seven aspects,including location conditions,cultivated land use,population structure,homestead situation,economic income,satisfaction with the living environment and understanding of homestead policy,and a multivariate linear regression analysis model was used to analyze the factors affecting rural hollowing.The results of the study show that:① The level of rural hollowing in Mishan City increases year by year,from 14.87％in 2013 to 30.40％in 2021,with an average annual increase of 9.86％.② Monthly changes in the rural hollowing level mainly manifests that the rural hollowing rate is lower in summer and autumn than in spring and winter.③ Rural hollowing level spatially shows the pattern of decreasing as the distance of villages from the central city increases.④Cultivated land utilization status,land transfer situation,an-nual household income,satisfaction with housing conditions,health care,garbage environment,culture and fitness,road hardening,convenient transportation,running water,and the degree of understanding of the policies of'one household and one house',area not exceeding the standard,compensated withdrawal,and transfer of rural home-steads have a positive impact on rural hollowing.Distance,average cultivated land area per household,cultivated land area per capita and resident population have a negative impact on rural hollowing,while total population,sat-isfaction with shopping and the situation of rural homesteads do not have a significant impact on rural hollowing.The results of the study are intended to provide scientific decisions for policy regulation of rural hollowing in the border areas of China and to boost rural revitalization.
rural hollowingspatio-temporal evolutioninfluencing factorsborder areas
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NSTL
万方数据
