Study on Spatial Pattern and Spatial Coupling with Geographical Environment of Key Villages for Rural Revitalization in Hunan Province

Abstract

After China's comprehensive poverty alleviation in 2020, key villages for rural revitalization have become key areas of follow-up rural revitalization work. Objective analysis of KAVRR (Key Assistance Villages for Rural Revitalization) poverty geographical pattern, and verify whether there is a spatial coupling relationship between poverty pattern and geographical environment, so as to further consolidate the space coupling connection between targeted poverty alleviation and rural revitalization. In this paper, 2307 KAVRRs published by Hunan Provincial Poverty Alleviation Office were selected as the research objects. The spatial distribution of key KAVRR was quantitatively analyzed from three aspects. The coupling relationship between KAVRR spatial pattern and geographical environment was verified from six aspects. Draw the following conclusions: 1) The nearest neighbor index of KAVRR in Hunan province is 0.82, indicating obvious spatial aggregation. At the municipal level, changsha-Zhuzhou-Xiangtan tended to be uniformly distributed, while other cities tended to be agglomerated. 2) The spatial distribution of KAVRR varies in different urban areas. More than 60% of KAVRR is concentrated in Shaoyang, Huaihua, Xiangxi Tujia Autonomous Prefecture, Yongzhou and Loudi. 3) In the analysis of influencing factors, the geographical location characteristics of KAVRR, hydrological conditions, geographical location characteristics, accessibility of public service facilities, such as education and medical resources, are highly coupled with the spatial distribution of assistance. Different influencing factors have different influencing mechanisms, but the final spatial layout is the result of interaction and coupling of geographical environment elements.