Spatial Characteristics and Formation Mechanism of Key Assisted Villages for Rural Revitalization
The key assisted villages for rural revitalization are the key and difficult areas in the new era to further promote the effective linkage between consolidating and expanding the results of poverty eradication and rural revitalization.Taking Hunan Province,a large agricultural province in central China,as an example,this paper used DBSCAN clustering algorithm,nearest neighbor index,kernel density estimation,spatial autocorrelation and spatial econometric model to identify the spatial characteristics of assisted villages and their influence mechanisms,and finally proposed an optimization strategy.The results show that:(1)The villages in Hunan Province show a general pattern of"dense in the southwest and sparse in the northeast".Among them,the spatial clustering area has obvious hierarchical characteristics,mainly distributed at the junction of administrative boundaries.(2)The spatial dependency scales of the assisted villages vary significantly,with the local spatial dependency clusters at the county scale showing a"spatial mismatch"with similar clusters at the municipal scale.(3)Urbanization rate,illiteracy rate,average elevation and spatial correlation are significant factors influencing the spatial characteristics of assisted villages,which together shape the spatial pattern of assisted villages through different influence paths.
rural revitalizationkey assisted villagesspatial characteristicsDBSCAN clustering algorithmspatial econometric modelHunan Province
NETL
NSTL
万方数据
