Multilevel Analysis of Factors Associated with Left Behind Children in China

Bibliographic Data

ID21828811
AuthorsYoichi Miyazaki (0000-0001-8781-387X, Virginia Tech), Chenguang Du (0000-0001-8616-7300, Virginia Tech), Joanna Papadopoulos (Virginia Tech), Hongfei Du (0000-0002-9605-8463, Guangzhou University)
Year2020
Volume16
Issue10
Pages1
Publication date2020-09-24
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAsian Social Science (JOURNAL)
Journal identifiersISSN: 1911-2017 • E-ISSN: 1911-2025
PublisherCanadian Center of Science and Education (PUBLISHER)
DOI10.5539/ass.v16n10p1
OpenAlexW3088029013
LanguageEN
References cited39

With the rapid development of urbanization in China, a growing number of rural workers migrate to urban cities for employment opportunities with leaving their children at home. These children are called left behind children (LBC) in China and their population has dramatically increased during the last 20 years. So far, many studies have examined what factors were associated with this increasing LBC populations. However, they were rarely guided by a holistic perspective. The current study investigated 1,691 left behind children in 166 communities using data from the China Health and Nutrition Survey (CHNS) in 2011. Based on the human ecology theory, this study explored family and contextual (community) characteristics associated with the left behind children (LBC) in China. The main results for this subpopulation of families with children revealed stark contrasts with the literature for the general population of migrants. That is, for the families with children, (1) contrary to the literature, father’s education was negatively associated with the probability of LBC at the individual level, even after the income was controlled; (2) community average father’s education was also negatively associated with LBC; but (3) community average household income was not associated with LBC once the average father’s education was controlled. The policy implications of these results are briefly discussed

China · Demographic economics · Economic growth · Economics · Geography · Household income · Left behind · Mental health · Multilevel model · Political science · Population · Rural area · Socioeconomics · Sociology · Urbanization · Demography · Early Childhood Education and Development · Intergenerational Family Dynamics and Caregiving · Poverty, Education, and Child Welfare · Psychology

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