Research on the Influencing Factors of Social Network on Community Endowment of Elderly in Rural Areas of Shaanxi
Humanities and Social Sciences
Volume 5, Issue 5, September 2017, Pages: 184-191
Received: Sep. 13, 2017; Accepted: Sep. 23, 2017; Published: Sep. 29, 2017
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Authors
Wang Ping, School of Management, Xi’an University of Science and Technology, Xi’an, China
Liu Jiao, School of Management, Xi’an University of Science and Technology, Xi’an, China
Li Yaping, School of Management, Xi’an University of Science and Technology, Xi’an, China
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Abstract
On the basis of the data from “Shaanxi rural elderly community care situation questionnaire” in August 2015, this paper analyzes the support statement of the elderly in rural areas of Shaanxi province profoundly, and uses multivariate logistic regression analysis to investigate the influencing factors of the community endowment of the elderly in rural areas. Accordingly, to identify the real needs of the elderly in countryside. The research result reveals that these who have higher economic self-support ability are more inclined to choose community endowment. By contrast, those old person with a lower economic capability are willing to choose family endowment. At the same time, the choice to community endowment of the rural elderly is also restricted to the factors of old-age pension demand and supply.
Keywords
Shaanxi Rural Area, The Elderly, Community Endowment, Social Network, Influencing Factors
To cite this article
Wang Ping, Liu Jiao, Li Yaping, Research on the Influencing Factors of Social Network on Community Endowment of Elderly in Rural Areas of Shaanxi, Humanities and Social Sciences. Vol. 5, No. 5, 2017, pp. 184-191. doi: 10.11648/j.hss.20170505.14
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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