| In recent years,China has made remarkable achievements in poverty alleviation.By the end of 2020,China will complete the poverty alleviation goal in the new era as scheduled.According to the current standards,the regional overall poverty has been resolved,and the arduous task of eradicating absolute poverty has been completed.However,with the continuous advancement of the poverty reduction process,the number of people living below the poverty line has decreased sharply,but the emergence of people re-poverty has become a problem that cannot be ignored.Therefore,how to consolidate the achievements of poverty alleviation,how to reduce and curb the phenomenon of re-poverty,and how to effectively link and promote rural revitalization have become important tasks of governments at all levels in China.In this context,it is of great necessity and practical urgency to accurately identify the spatial-temporal of the VRP(vulnerability to re-poverty)in rural China,and to determine its influencing factors,which will help evaluate the effectiveness of current poverty alleviation policies and is conducive to Governments at all levels in China have established long-term mechanisms to curb the re-poverty.However,by sorting out the research results on poverty and re-poverty at home and abroad,it is found that the research on poverty has achieved rich results,and the research on re-poverty,especially the measurement of VRP and its influencing factors,still needs to be further explored.In view of this,this paper applies the VSD model to the research on the VRP,taking Chinese counties as a unit,combining natural and socioeconomic data to study the spatiotemporal distribution and dynamic evolution characteristics of the VRP in China’s rural areas;secondly,this study attempts to use the Geodetector explores the impact mechanism of the VRP,in order to explain the root cause of the problem of repoverty in my country from the perspective of geography.The research results show that:(1)From the overall spatial-temporal pattern,the overall spatial pattern of the VRP in China’s counties in the past 20 years shows spatial heterogeneity,showing the highest in the west,The central part is the second,and the eastern part has a lower gradient distribution,which is basically consistent with the spatial pattern of China’s economic development.(2)From the results of spatial autocorrelation analysis,the global spatial autocorrelation analysis of the VRP in China’s rural areas shows that the vulnerability of China’s rural re-poverty has a volatile agglomeration phenomenon in space,and the agglomeration effect is high.Local spatial autocorrelation shows that the VRP regression in China’s counties presents an uneven distribution in space,and the unevenness of spatial agglomeration fluctuates during the study period,indicating that there is a certain spatial dependence of VRP regression in China’s rural areas.It also shows the limitations of the spatial spillover of VRP(3)From the perspective of the influencing factors of VRP,elevation(E3),relief degree of land surface(E4),population density(E6),disposable income of rural and urban residents(S4),fixed assets investment(S3),number of rural employees(A1),proportion of students in general secondary schools and secondary vocational schools in the year-end population(A2),per capita disposable income of rural residents(A7),per capita GDP(A9),and number of welfare agencies(A12)are the main factors affecting the spatial pattern of VRP.The formation of spatial differences in VRP in counties in China is not influenced by a single factor alone,but is the result of the combined effect of multiple factors.(4)This paper formulates an early warning mechanism for re-poverty,and provides differentiated poverty alleviation policies based on the degree and the factors that affect VRP,which helps government departments at all levels to seek truth from facts,targeted strategies to curb the re-poverty,and then make a certain contribution to consolidating the achievements of poverty alleviation. |
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