On the basis of using entropy weight method to measure China’s education poverty alleviation and rural revitalization evaluation indicators, using the panel data of 30 provinces in China (excluding Xizang, Hong Kong,...On the basis of using entropy weight method to measure China’s education poverty alleviation and rural revitalization evaluation indicators, using the panel data of 30 provinces in China (excluding Xizang, Hong Kong, Macao and Taiwan) from 2012 to 2021, a spatial panel simultaneous equation model is constructed based on adjacency matrix, geographical distance matrix and economic geographical distance matrix deeply study the interaction mechanism and spatial spillover effects between education poverty alleviation and rural revitalization through the generalized spatial three-stage least squares method (GS3SLS). The results indicate that there is a significant spatial spillover effect and a positive spatial correlation between education poverty alleviation and rural revitalization, and there is a significant interactive effect between the two variables, while promoting each other positively. Therefore, the government should clarify the deep relationship between education poverty alleviation and rural revitalization based on the current background, and better consolidate and expand the effective connection between the achievements of education poverty alleviation and rural revitalization.展开更多
Rural poverty and poverty reduction are not only the focal issues that have attracted worldwide attention, but also the vital issues on people's livelihood that has attached great importance and aimed to be solved...Rural poverty and poverty reduction are not only the focal issues that have attracted worldwide attention, but also the vital issues on people's livelihood that has attached great importance and aimed to be solved by the central and local governments of China. Based on the survey data of 354 farming households, this paper, taking the national poverty county of Lingao County, Hainan Province for an example, examined the characteristics of rural poverty of the county. Moreover, this paper established the spatial lag model(SLM) from five dimensions, namely, status of the household head, household structure, health status, income composition and traffic accessibility, to analyze the main influencing factors of rural poverty according to the values of Moran's I and the diagnosis of spatial dependence of the OLS model. It is found that the poor farming households gathered mainly in five towns in the north and southwest of the county, and the rural poverty have the characteristics of low educational level of the heads, more minor children, high population of farming peasants, high incidence of disease and low proportion of household wage-equivalent income. The results also showed that the variables such as the number of minor children, the number of migrant worker, the number of farming peasants and the proportion of wage-equivalent income have significant effectiveness on rural poverty, while the status of the household head, health status and traffic accessibility have little influence. It is an important way to realize the goal of poverty alleviation by controlling the number of farmers' fertility, strengthening the vocational skills training of farmers, vigorously developing specialization and large-scale agriculture and increasing the employment opportunities of farmers.展开更多
The transformation of dilapidated houses in rural areas is not only a livelihood project related to the broad masses of rural people,but also a major project to win the battle against poverty. Luquan Yi and Miao Auton...The transformation of dilapidated houses in rural areas is not only a livelihood project related to the broad masses of rural people,but also a major project to win the battle against poverty. Luquan Yi and Miao Autonomous County,Yunnan Province,located in the high mountain and gorge area along Jinsha River,is one of the key counties of poverty alleviation and development with a wide range of poverty and a deep degree of poverty. The incidence of poverty is 22. 21%. Housing security is the focus,difficulty and emphasis of poverty alleviation in this county,the number of dilapidated houses is large,the type is complex,the transformation is difficult,and the implementation cost is high.Since the beginning of 2017,Luquan County has faced difficulties,explored in depth,pioneered and innovated,and completed the renovation of 54 801 dilapidated houses in an all-round way. It created a road full of characteristics and effectiveness of rural dilapidated housing transformation,and explored a set of effective scientific identification and accurate transformation models for rural dilapidated housing worthy of reference and promotion. Successful renovation of dilapidated houses,combined with industrial poverty alleviation,education poverty alleviation,health poverty alleviation and other accurate poverty alleviation measures,have made Luquan County win a decisive victory in the fight against poverty. By the end of December 2018,the incidence of poverty in the county had dropped to 0. 54%,and 115 poor villages( including 83 extremely poor villages) had successfully shaken off poverty. This paper analyzes and summarizes the concrete methods,main effects,characteristics and bright spots,successful experience,and reference significance of the scientific identification and precise transformation mode of rural dilapidated houses in this county,so as to provide a necessary reference for the transformation of rural dilapidated houses in Yunnan Province and even poor counties in similar provinces( cities and districts).展开更多
文摘On the basis of using entropy weight method to measure China’s education poverty alleviation and rural revitalization evaluation indicators, using the panel data of 30 provinces in China (excluding Xizang, Hong Kong, Macao and Taiwan) from 2012 to 2021, a spatial panel simultaneous equation model is constructed based on adjacency matrix, geographical distance matrix and economic geographical distance matrix deeply study the interaction mechanism and spatial spillover effects between education poverty alleviation and rural revitalization through the generalized spatial three-stage least squares method (GS3SLS). The results indicate that there is a significant spatial spillover effect and a positive spatial correlation between education poverty alleviation and rural revitalization, and there is a significant interactive effect between the two variables, while promoting each other positively. Therefore, the government should clarify the deep relationship between education poverty alleviation and rural revitalization based on the current background, and better consolidate and expand the effective connection between the achievements of education poverty alleviation and rural revitalization.
基金Under the auspices of National Natural Science Foundation of China(No.41661028)Natural Science Foundation of Hainan(No.417099)Science and Technology Plan Project of Colleges and Universities of Shandong(No.J14LH04)
文摘Rural poverty and poverty reduction are not only the focal issues that have attracted worldwide attention, but also the vital issues on people's livelihood that has attached great importance and aimed to be solved by the central and local governments of China. Based on the survey data of 354 farming households, this paper, taking the national poverty county of Lingao County, Hainan Province for an example, examined the characteristics of rural poverty of the county. Moreover, this paper established the spatial lag model(SLM) from five dimensions, namely, status of the household head, household structure, health status, income composition and traffic accessibility, to analyze the main influencing factors of rural poverty according to the values of Moran's I and the diagnosis of spatial dependence of the OLS model. It is found that the poor farming households gathered mainly in five towns in the north and southwest of the county, and the rural poverty have the characteristics of low educational level of the heads, more minor children, high population of farming peasants, high incidence of disease and low proportion of household wage-equivalent income. The results also showed that the variables such as the number of minor children, the number of migrant worker, the number of farming peasants and the proportion of wage-equivalent income have significant effectiveness on rural poverty, while the status of the household head, health status and traffic accessibility have little influence. It is an important way to realize the goal of poverty alleviation by controlling the number of farmers' fertility, strengthening the vocational skills training of farmers, vigorously developing specialization and large-scale agriculture and increasing the employment opportunities of farmers.
基金Supported by Project Commissioned by the Office of Rural Work Leading Group of Kunming Municipal Committee of the Communist Party of ChinaConstruction Project of Party Branch Secretary of"Double Leader"Teachers in Colleges and Universities of the Ministry of Education of China
文摘The transformation of dilapidated houses in rural areas is not only a livelihood project related to the broad masses of rural people,but also a major project to win the battle against poverty. Luquan Yi and Miao Autonomous County,Yunnan Province,located in the high mountain and gorge area along Jinsha River,is one of the key counties of poverty alleviation and development with a wide range of poverty and a deep degree of poverty. The incidence of poverty is 22. 21%. Housing security is the focus,difficulty and emphasis of poverty alleviation in this county,the number of dilapidated houses is large,the type is complex,the transformation is difficult,and the implementation cost is high.Since the beginning of 2017,Luquan County has faced difficulties,explored in depth,pioneered and innovated,and completed the renovation of 54 801 dilapidated houses in an all-round way. It created a road full of characteristics and effectiveness of rural dilapidated housing transformation,and explored a set of effective scientific identification and accurate transformation models for rural dilapidated housing worthy of reference and promotion. Successful renovation of dilapidated houses,combined with industrial poverty alleviation,education poverty alleviation,health poverty alleviation and other accurate poverty alleviation measures,have made Luquan County win a decisive victory in the fight against poverty. By the end of December 2018,the incidence of poverty in the county had dropped to 0. 54%,and 115 poor villages( including 83 extremely poor villages) had successfully shaken off poverty. This paper analyzes and summarizes the concrete methods,main effects,characteristics and bright spots,successful experience,and reference significance of the scientific identification and precise transformation mode of rural dilapidated houses in this county,so as to provide a necessary reference for the transformation of rural dilapidated houses in Yunnan Province and even poor counties in similar provinces( cities and districts).
