Research on Influencing Factors of Welfare Level about Left-behind Children in China Rural Areas

Anjun Hu, Dongmei Li, Mingming Liu

Abstract


Based on the survey data of 360 left-behind children at junior school in Xinyang city Henan province in China, the welfare of left-behind children was analyzed by using Amartya.Sen ability method theory and fuzzy mathematics. The results showed that left-behind children's material welfare of the economy increased, but their social mental welfare level declined when their parents went to work at other cities. As a result, the level of total welfare utility is low. At last, in order to increase the general welfare of left-behind children, policies and suggestions were provided according to the analysis.


Full Text: PDF DOI: 10.5539/jas.v3n2p223

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This work is licensed under a Creative Commons Attribution 3.0 License.

Journal of Agricultural Science ISSN 1916-9752 (Print) ISSN 1916-9760 (Online)

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