Study On Identification Of Poverty-Stricken Areas In Jiangxi Based On Nighttime Light Data

Poverty refers to poor economy or impoverished spirit,which is not only a phenomenon of poor material life in society,but also poor spiritual life.Poverty is still a plight faced by the world and has always restricted the development of many countries,even with the rapid development of prosperous economy.This phenomenon is particularly prominent in developing countries because they are in an rising transitional stage and bring development imbalances.Therefore,developing countries have strengthened their support in reducing the income gap and eliminating poverty between urban and rural areas.China as the largest developing country in the world,it can be imagined that extreme poverty exists.From the construction of a well-to-do society to the completion of a well-to-do society today,it can be seen that the country is urgently making unremitting efforts for poverty alleviation;.Improving the living standard of impoverished region increasing the accuracy of recognition,eliminating the obstacles in the implementation of poverty alleviation,and removing the obstacles during the process of poverty relief can increase the efficiency of poverty alleviation work.Therefore,carrying out poverty identification and spatial distribution research provides an objective basis for the government to formulate and implement targeted poverty alleviation policies,and it also has important theoretical and practical significance for the implementation of the national strategy of“targeted poverty alleviation and accurate poverty alleviation”.This study uses night-time light data to identify poverty in Jiangxi Province.Therefore,this paper selects stable night-time light data DMSP-OLS and NPP-VIIRS which is a relatively clear night-time light data applied in 2013 and 2015.Moreover,it builds a regional total light index(TNLI)and the regional average light index(ANLI)to measure.Based on the sustainable livelihood analysis framework commonly used in research,this method is used to select corresponding capital indicators and construct a multidimensional poverty index.Taking Jiangxi Province as a research area,the study found that using the average light index to estimate the multidimensional poverty index was better than the light total index.So the model's fitness(R~2)was respectively 0.6501,0.6768 and 0.6789 according to the constructed regression model.Throngh the use of the regression model to spatialize the multidimensional poverty index in Jiangxi Province,to identify the extremely poor and poor areas as multidimensional poverty counties,the calculation results show that:(1)In 2011,36 counties and districts in Jiangxi Province were identified as multidimensional poverty-stricken counties,and 18 counties accounts for 72%of the total,which is the same as the key counties of poverty alleviation in concentrated contiguous areas in Jiangxi Province;in 2013,40 counties have been identified as multi-dimensional poverty counties,and 18 counties are consistent with key poverty alleviation counties in concentrated contiguous areas in Jiangxi Province,accounting for 72%of the total;In 2015,39 counties in Jiangxi Province were identified as multi-dimensional poverty counties and15 counties are in line with the key poverty alleviation counties in concentrated contiguous areas in Jiangxi Province,accounting for 60%of the total.(2)In summary of the three-year research,it proposes some tuning recommendations for key poverty alleviation counties in Jiangxi Province.There are14 counties suggested to transfer to the county area,namely Chongyi County,Nanfeng County,Jishui County,Chongren County,Jing'an County,Lichuan County,Quannan County,Tonggu County,Yongfeng County,Zixi County,Yihuang County,Wuning County,Anfu County,and Wanxian County;and 6 districts are proposed to transfer from counties,namely Jinggangshan City,Ruijin City,Ji'an County,Hengfeng County,Shangrao County,Nankang City.(3)In the end,it briefly analyzes the causes of poverty in Jiangxi Province from the aspect of infrastructure,labor,etc.Moreover,reference suggestions were made in terms of human capital,natural capital,social capital,and other livelihood capital.(2)In summary of the three-year research,it proposes some tuning recommendations for key poverty alleviation counties in Jiangxi Province.There are 14 counties suggested to transfer to the county area,namely Chongyi County,Nanfeng County,Jishui County,Chongren County,Jing'an County,Lichuan County,Quannan County,Tonggu County,Yongfeng County,Zixi County,Yihuang County,Wuning County,Anfu County,and Wanxian County;and 6 districts are proposed to transfer from counties,namely Jinggangshan City,Ruijin City,Ji'an County,Hengfeng County,Shangrao County,Nankang City.(3)In the end,it briefly analyzes the causes of poverty in Jiangxi Province from the aspect of infrastructure,labor,etc.Moreover,reference suggestions were made in terms of human capital,natural capital,social capital,and other livelihood capital.