Poverty County Identification And Influencing Factors In Yunnan Province Based On Nighttime Light Data

This paper is a study on the identification of nighttime light data in poor areas.Previous studies used the average light index?ALI?to identify poor areas.This paper finds that the total nighttime light?TNL?is better than ALI in the areas with large poverty area,high incidence and deep poverty degree,such as Yunnan province.This paper analyzed the relations hip between TNL and income poverty and multi-dimensional poverty,R² was 0.399 and 0.7067,respectively,indicating that TNL is more suitable to reflect the degree of multi-dimensio na l poverty.Based on this result,this study established a nighttime light poverty model SLI_{T NL} to identify the poverty status of counties in Yunnan Province,and analyzed the spatial distribut io n of poverty status,using Geodetector to find the driving factors that affect the poverty status of Yunnan Province.The research shows that:?1?In general,the regional poverty level identified by the sustainable livelihood index?SLI?is higher than the poverty level measured by the poverty incidence rate.The SLI can reflect the poverty status of the district and county more comprehensively.?2?The night-light poverty model SLI_{T NL} NL constructed using the TNL and SLI passes the model test,and the root-mean-square error and the relative error are 0.157 and10.97%,respectively,with high accuracy.?3?The spatial pattern of poverty-stricken counties in Yunnan Province identified by SLI_{T NL} presents significant regional differences,showing decreases from central Yunnan to surrounding areas.The incidence of poverty shows a spatial pattern that increases from central Yunnan to surrounding areas,and Tibetan areas had the highest income poverty and multi-dimensional poverty.?4?Through Geodetector,the factors that combined impact the income poverty and multi-dimensional poverty in Yunnan Province are the annual per capita net income of rural residents,the topographic relief,the per capita disposable income of urban permanent residents,the urbanization rate,the number of beds in medical and health institutions,and Investment in fixed assets.?5?The interaction of the two factors is more significant for the county poverty differentiation pattern in Yunnan Province,and the explanatory power is shown as two-factor enhanced and non-linear enhanced.The combined effect of the two dimensions of financial capital and social capital has the most significant impact on the poverty-stricken county space in Yunnan.