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Social Innovation and Health-Related Well-Being of Left-Behind Children: Evidence from an Intelligent Robot Project in China

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  • Xiaoxia Xie

    (Southwestern University of Finance & Economics)

  • Yafan Chen

    (Rutgers University)

  • Shannon Cheung

    (Rutgers University)

  • Chien-Chung Huang

    (Rutgers University)

Abstract

In China, rural children, compared to their urban counterparts, are disadvantaged by less parental care and limited access to educational resources. This can have dire consequences for their health-related well-being during a vulnerable and formative stage of the life course. Quality of life (QOL) has been increasingly used as an indicator of individuals’ well-being. QOL studies have primarily been conducted in Western contexts, but there is relatively less knowledge on QOL in the Chinese context, particularly for rural left-behind children (LBC). This study analyzed the effects of a socially innovative product – intelligent robots by the Li Ensan Charity Foundation – on the health-related well-being of rural LBC in China. Children who used the robots and reported higher satisfaction with the use experienced positive effects on QOL than their counterparts.. We discussed the implications of these results in the context of micro- and macro-level practice.

Suggested Citation

  • Xiaoxia Xie & Yafan Chen & Shannon Cheung & Chien-Chung Huang, 2022. "Social Innovation and Health-Related Well-Being of Left-Behind Children: Evidence from an Intelligent Robot Project in China," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(5), pages 2597-2617, October.
    • Handle: RePEc:spr:ariqol:v:17:y:2022:i:5:d:10.1007_s11482-021-09995-7
    DOI: 10.1007/s11482-021-09995-7
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    1. Liu, Z. & Li, X. & Ge, X., 2009. "Left too early: The effects of age at separation from parents on Chinese rural children's symptoms of anxiety and depression," American Journal of Public Health, American Public Health Association, vol. 99(11), pages 2049-2054.
    2. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    3. Liu, Hong & Fang, Hai & Zhao, Zhong, 2013. "Urban–rural disparities of child health and nutritional status in China from 1989 to 2006," Economics & Human Biology, Elsevier, vol. 11(3), pages 294-309.
    4. Li, Qiang & Liu, Gordon & Zang, Wenbin, 2015. "The health of left-behind children in rural China," China Economic Review, Elsevier, vol. 36(C), pages 367-376.
    5. Dandan Zhang & Xin Li & Jinjun Xue, 2015. "Education Inequality between Rural and Urban Areas of the People's Republic of China, Migrants’ Children Education, and Some Implications," Asian Development Review, MIT Press, vol. 32(1), pages 196-224, March.
    6. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood," American Economic Review, American Economic Association, vol. 104(9), pages 2633-2679, September.
    7. Zhu, Xiaoqin & Shek, Daniel T.L., 2020. "Impact of a positive youth development program on junior high school students in mainland China: A pioneer study," Children and Youth Services Review, Elsevier, vol. 114(C).
    8. Cajaiba-Santana, Giovany, 2014. "Social innovation: Moving the field forward. A conceptual framework," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 42-51.
    9. Lianlian Lei & Feng Liu & Elaine Hill, 2018. "Labour Migration and Health of Left-Behind Children in China," Journal of Development Studies, Taylor & Francis Journals, vol. 54(1), pages 93-110, January.
    10. Kam Wing Chan, 2010. "The Household Registration System and Migrant Labor in China: Notes on a Debate," Population and Development Review, The Population Council, Inc., vol. 36(2), pages 357-364, June.
    11. Zheng Zhou & Daniel T.L. Shek & Xiaoqin Zhu & Diya Dou, 2020. "Positive Youth Development and Adolescent Depression: A Longitudinal Study Based on Mainland Chinese High School Students," IJERPH, MDPI, vol. 17(12), pages 1-15, June.
    12. Julien Lafortune & Jesse Rothstein & Diane Whitmore Schanzenbach, 2018. "School Finance Reform and the Distribution of Student Achievement," American Economic Journal: Applied Economics, American Economic Association, vol. 10(2), pages 1-26, April.
    13. Chunkai Li & Qiaobing Wu & Zurong Liang, 2019. "Effect of Poverty on Mental Health of Children in Rural China: The Mediating Role of Social Capital," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 14(1), pages 131-153, March.
    14. Xie, Xiaoxia & Huang, Chien-Chung & Chen, Yafan & Hao, Feng, 2019. "Intelligent robots and rural children," Children and Youth Services Review, Elsevier, vol. 100(C), pages 283-290.
    15. Hu, Hongwei & Lu, Shuang & Huang, Chien-Chung, 2014. "The psychological and behavioral outcomes of migrant and left-behind children in China," Children and Youth Services Review, Elsevier, vol. 46(C), pages 1-10.
    16. Shu Hu, 2019. "“It’s for Our Education”: Perception of Parental Migration and Resilience Among Left-behind Children in Rural China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(2), pages 641-661, September.
    17. Daniel T. L. Shek & Li Lin, 2017. "Trajectories of Personal Well-Being Attributes Among High School Students in Hong Kong," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 12(4), pages 841-866, December.
    18. Minhui Zhou & Rachel Murphy & Ran Tao, 2014. "Effects of Parents' Migration on the Education of Children Left Behind in Rural China," Population and Development Review, The Population Council, Inc., vol. 40(2), pages 273-292, June.
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