|Table of Contents|

Multidimensional Poverty Measurement of Peasant Households and  Influence Factor in the Qinba Mountains

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2018年11
Page:
183-190
Research Field:
Publishing date:

Info

Title:
Multidimensional Poverty Measurement of Peasant Households and  Influence Factor in the Qinba Mountains
Author(s):
YE Zheng; ZHU Yuchun
(College of Economics & Management，Northwest A & F University，Yangling，Shaanxi 712100)
Keywords:
Qinba Mountains; households; multidimensional poverty; Logit model; influence factor
PACS:
-
DOI:
10.11937/bfyy.20174526
Abstract:
Based on the Alkire-Foster′s multidimensional poverty measurement method，the multidimensional poverty of households in Qinba Mountains from the health，education，income,level of life ten indexes in four dimensions were measured and decomposed.At the same time，using the Logit model from the head of the household characteristics，family characteristics，social networks and village characteristics to analyze the influence factors of multidimensional poverty of households.The results showed that the incidence of poverty of living fuel，health and education index was higher，especially the living fuel index reached 91.15%;the health index maked the largest contribution to the multidimensional poverty of households with 46.96%，followed by income，reaching 20.09%;the age of head of household，family size，the number of family members aged 65 and over，the time required by the family to the nearest health clinic and whether the village was a natural disaster frequency had a significant positive impact on the multidimensional poverty of households.However，the householder health,whether the family members were village cadres or not，the number of relatives，the annual number of gifts and the percentage of village cement roads all had a significant negative impact on the multidimensional poverty of households.Based on the above conclusions，some suggestions were put forward.

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Last Update: 2018-06-29