【摘要】 为探究我国农村多维贫困的空间分布特征和影响因素,选取31省农村居民消费的8个维度,运用ELES方法测算出基本需求支出份额,建立多维贫困测度模型,进而计算出各地区不同维度的相对贫困指数和各地区多维贫困指数,并着重分析了东、中、西部三大地带的贫困空间分布特征,结果显示各区域的相对贫困指数与多维贫困指数都呈现出"西部最高,中部次之,东部最低"的空间梯度分布。在此基础上,进一步探讨了影响农村居民多维贫困空间格局的主次因素,对影响机理进行了实证分析。结果表明:在一个区域农民收入水平越高、非农收入占比越大、文化教育程度越高,则区域总体贫困程度越轻。因此增加农村居民收入,尤其是工资性收入比重,加大农村文化教育的投入力度,提高他们的文化教育水平,有助于改善农村贫困问题。更多还原

【Abstract】 In order to explore the spatial distribution characteristics and influencing factors of rural multidimensional poverty in China,eight dimensions of rural residents’ consumption in 31 provinces were selected.ELES method was used to calculate the basic demand expenditure share and a multidimensional poverty measurement model was then established to calculate the relative poverty index of dimensions and the multidimensional poverty index in different regions.This study focused on the analysis of poverty spatial distribution characteristics in eastern,central and western regions.The results showed that the relative poverty index and multidimensional poverty index spatial gradient distribution of all regions showing the same feature,which was the highest in the west,the second in the middle,and the lowest in the east.On this basis,this study went further by exploring in the primary and secondary factors affecting the multidimensional poverty spatial pattern of rural residents,and conducting empirically analyze for impact mechanism.The results showed that the higher the income level of farmers in a region,the greater the proportion of non-agricultural income was,and the higher the level of cultural education,the lighter the overall poverty in the region was.In conclusion,increasing the income of rural residents,especially the proportion of wage income,strengthening the investment in rural cultural education,and promoting their cultural and educational level,would help improve the rural poverty.更多还原