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Availability of Infrastructure and People' Multidimensional Poverty in Special Type and Poor Area-Taking the Three Prefectures in Southern Xinjiang as an Example
LIU Lin, LI Guang-hao
2016 (05):
80-89.
This paper is based on 2013 Survey Organization of National Bureau of Statistics rural household survey data. We choose the 9 poverty indexes of 4 dimensions to study the impact of infrastructures to the multidimensional poverty and rural-urban difference by using bootstrap, and to empirically test the multidimensional poverty of different income group. The result shows that firstly, transportation, health and ecological infrastructures are responsible for reducing the multidimensional poverty. Secondly, infrastructures reduce the multidimensional poverty of farmers, but the impact to residents of a city is indefinite. What's more, the contribution ratio of transportation infrastructures to reduce the multidimensional poverty varies periodically, that of health infrastructures taper, and that of ecological infrastructures present inverted U-trend. Furthermore, Unsafety of society aggravates the multidimensional poverty, especially for low-income groups, and social spending has not significant correlation, the positive regression coefficients of which manifests that social spending increases the occurrence of the multidimensional poverty. Eventually, health infrastructures reduce the occurrence of the multidimensional poverty of middle-low income groups, but high income groups don't.
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