Study on Influencing Factors of Children's Behavior in Rural China

DOI

10.2991/seiem-17.2018.8How to use a DOI?

Keywords

rural children, behavior status, factor analysis, China

Abstract

The research of rural children's behavior status mostly focuses on rural left-behind children, but there is few researches on the behavior of rural children as a whole. In order to understand the behavior status of rural children and the influencing factors of children's behavior in China, this paper conducts a survey among 4,889 rural children in Central China with new variables. By using factor analysis method, the results indicate: (a) Rural children does not only have negative behaviors, but also they perform in positive ways. (b) The three factor model is the best explanation of the data. The behaviors of seeking help from organizations, communication and learning as well as seeking help from individuals are successively important factors influencing the behavior status of rural children. It is suggested that social organizations should play an active role in serving rural children, families and the government should strengthen parenting education in rural areas, and that schools should improve the quality of teachers in rural areas so that the rural children can seek help from organizations and professionals when encountering difficulties. Joint efforts should be made to enhance the rural children's learning and communication capacity.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Haojin Wang
AU  - Yanping Yu
PY  - 2017/12
DA  - 2017/12
TI  - Study on Influencing Factors of Children's Behavior in Rural China
BT  - Proceedings of the 2017 2nd International Seminar on Education Innovation and Economic Management (SEIEM 2017)
PB  - Atlantis Press
SP  - 30
EP  - 34
SN  - 2352-5398
UR  - https://doi.org/10.2991/seiem-17.2018.8
DO  - 10.2991/seiem-17.2018.8
ID  - Wang2017/12
ER  -