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### 中国农村长期多维贫困的测量、分解与影响因素分析

• 出版日期:2017-11-15 发布日期:2017-11-25

### Analysis of Chronic Multidimensional Poverty Measurement, Decomposition and Influencing Factors in Rural China: Based on the Panel Data of CFPS

Hou Yajing

• Online:2017-11-15 Published:2017-11-25

Abstract: The occurrence of multidimensional poverty has a dynamic and chronic nature. Using the micro household panel data of China Family Panel Survey(CFPS) in 2010, 2012, and 2014 year, this paper introduces the time factor in the study of multidimensional poverty, considering the chronicity characteristic of multidimensional poverty, and based on the endogenous poverty concept, emphasizes the endogenous development momentum and subjective feelings, and establishes objective and subjective chronic multidimensional poverty measurement framework, and empirically analyses the influencing factors of rural chronic multidimensional poverty and inequality with the multilevel regression model. The results show that the western region is the largest contribution to the rural overall chronic multidimensional poverty; but with the increasing of the duration cut-off, the average duration of chronic multidimensional poverty in the east, central and northeast is more lasting. The dimension of living condition is the greatest contribution to the rural overall chronic multidimensional poverty index, but the contribution of the dimension of subjective wellbeing can’t be neglected. Multilevel regression model more accurate than the mixed model, and the macro level variables can account for 11.28% of difference of chronic multidimensional poverty incidence and 9.51% of difference of inequality in rural chronic multidimensional poverty household. Rural chronic multidimensional poverty incidence and inequality are not only significantly influenced by the micro level factors of family demographic characteristics, production and engagement characteristics, asset characteristics social relationship, but also the macro level factors of non-agricultural residence permit status and village economic condition.