Children Living without Biological Parent
Children at Risk of Separation
Other Relevant Reforms
Key Research Sources
Drivers of Institutionalisation
Displaying 1 - 10 of 159
To understand network governance among actors involved in contracting out foster care services, service funders, service providers, and service users were interviewed. A thematic analysis of interviews combined with a critical review of archival data was conducted.
This article presents evidence of son preference in the child trafficking market for illegal adoption in China, where son preference is explicitly revealed by choice and quantified by the price premium of a boy.
Using three waves of the China Family Panel Studies data collected in 2010, 2012 and 2014, the current study examines the association between parental migration and a number of early childhood development (ECD) outcomes.
The authors of this study examined attitudes about child maltreatment in China and the Netherlands.
A cross-sectional study was conducted in five counties of five provinces in China to investigate the effects of age at separation and duration of maternal separation on the early development of left-behind children.
This study aimed to examine the specific effects of neglect and physical abuse on adolescent aggressive behaviors and to further explore the potential sex-specific effect.
This study examines the effect of an innovative caregiver education program in China on caregivers' perceived increase of parenting knowledge.
The current study investigated the effects of parental emotional neglect on left-behind children’s externalizing problem behaviors, the mediating role of deviant peer affiliation, and the moderating role of beliefs about adversity in the association between parental emotional neglect and left-behind children’s externalizing problem behaviors.
Using survey data consisting of 5002 eighth graders from 160 middle schools in northwestern China, this paper investigates how parental migration affects children’s non-cognitive abilities, as is measured by Big Five components of conscientiousness, extraversion, neuroticism, agreeableness, and openness, as well as children’s grit.
This article proposes a methodological workflow for data analysis by machine learning techniques that have the possibility to be widely applied in social issues.