Spatial Differentiation And Influencing Factors Analysis Of Rural Poverty Of Shanyang County In Shaanxi Province

Poverty is still remaining as the most prominent “short-board” in the Chinese economic development.The hardest and heaviest part of building well-off society in an all-around way lies in the rural construction,especially in the poverty-stricken area.The poverty alleviation and development in China is at the most critical stage,which requires more accurate recognition for the spatial differentiation of the rural poverty and its influencing factors,to make sure the exact targeting of the poverty alleviation policies and measures.This paper picked Shanyang,a key county in the poverty alleviation and development project of China,to explore the spatial pattern and type of the rural poverty of this county through the spatial autocorrelation analysis and grouping analysis.The stepwise regression,geographically weighted regression and Geodetector models were used to analyze the influencing factors of the rural poverty in this county,followed with the discussion on the spatial heterogeneity and interaction of the influencing effects.The following findings were concluded from the research:(1)The incidence of rural poverty in Shanyang noticeably clustered in space,forming 6 hot spots and 4 cold spots.In terms of rural poverty degree and spatial connectivity,the county was divided into low poverty area,mid poverty area and high poverty area.The space distribution was based on the regional poverty degree to facilitate a proper implementation of the poverty alleviation policies.(2)The major influencing factors responsible for the rural poverty in Shanyang included proportion of dilapidated buildings,disposable income per rural capita,the distance to the nearest highway,proportion of migrant workers,water network density and the proportion of rural households participating in the agricultural cooperatives.The influencing effects of all factors featured the spatial heterogeneity.Water network density and disposable income per rural capital were negatively correlated with the incidence of poverty while the rest factors showed a positive correlation.(3)The influence of the interaction between two factors appeared to be larger than that of the single factor.The interaction modes between major factors included bi-factor enhancement and nonlinear enhancement.Due to the interaction enhancement effects between poverty factors,the poverty alleviation policies shall be comprehensively matched to realize the expected target,along with a powerful poverty alleviation security system to ensure the full implementation.