Research On Poverty Measurement And Its Spatiotemporal Interaction Features In China

As an important foundation for innovative poverty alleviation ideas,correctly identifying sensitive factors affecting poverty,quantifying comprehensive multi-dimensional poverty in the province,and spatially expressing the spatial and temporal interaction characteristics of China's poverty will be a question worth studying.This paper systematically identifies the key influencing factors affecting China's poverty through the econometric model,and on this basis,establishes a multidimensional poverty measurement index system to carry out a comprehensive measure of provincial multidimensional poverty levels and applies the exploratory spatial-temporal data analysis(ESTDA)framework.From the perspective of spatio-temporal interaction,this paper analyzes the spatial-temporal dynamic characteristics of provincial poverty,and puts forward effective policy measures to achieve full poverty alleviation as soon as possible.The main conclusions are as follows:Firstly,the level of economic development and social security show a negative cumulative effect on income poverty,while population burden and natural disasters increase the risk of regional income poverty;urbanization development and environmental quality improvement can be realized effectively improve the region's health poverty status in the short term,the impact of various factors on health poverty is ranked as urbanization rate,forest coverage rate,number of hospitals per 10,000 people and public health expenditure per capita;there is a significant negative correlation between investment in education funds,higher education development,science and technology input,and the masses cultural construction and cultural poverty.Secondly,as a whole,according to the principle of equal weight,the variance contribution of various variables to poverty rankings from largest to smallest are crop damage ratio,per capita GDP,per capita social security expenditure,per capita education funding,number of higher education institutions,and society.Total dependency ratio,urbanization rate,forest coverage rate,number of hospitals per 10,000 people,per capita R&D expenditure,per capita cultural and cultural expenditure,and per capita public health expenditure.Thirdly,compared with the economically developed coastal areas in the east,the income poverty in the inland regions of the central and western regions is generally deeper.With the exception of Beijing,Shanghai,and the three northeastern provinces,the health poverty levels in other provinces showed signs of improvement.The rapid economic growth in the eastern region also faced pressure to elevate the cultural and educational level of the population.The multi-dimensional poverty measurement results of the province show that the deeper multi-dimensional poverty areas in China are still concentrated in the central and western regions,which are basically the same as the differences in the economic development of the eastern,western,and middle provinces,with the exception of Beijing,Shanghai,Hebei,Shanxi,and the three northeastern provinces and Xinjiang,the level of multi-dimensional poverty in most provinces is declining year by year.Fourthly,the overall spatial pattern of multi-dimensional poverty in the province is characterized by polarization.The coastal region has a relatively stable local spatial structure,and the central and western inland regions have more dynamic local spatial structures.The spatial distribution of multi-dimensional poverty in China is obvious and the spatial structure is relatively stable.The spatial status of multi-dimensional poverty in each province is difficult to change in a short period of time,showing certain spatial locking or path dependence characteristics.Fifthly,the positive correlation between the spatial and temporal evolution of China's provincial multidimensional poverty.Most of the neighboring provinces in the central and western regions have a weak positive relationship and are prone to trapping into the space poverty trap for a long time due to the "Matthew Effect".Northeast China,Central China,parts of the western region,and South China showed a game competition relationship within the"club",while Inner Mongolia and Beijing,Hebei,Jilin,Qinghai and Gansu,Shaanxi and Henan,Guangxi and Yunnan,and the southeast coastal regions constitutes a strong area of coordinated growth,and it is highly feasible to carry out poverty alleviation cooperation in provinces.