IDEAS home Printed from https://ideas.repec.org/a/spr/chinre/v15y2022i3d10.1007_s12187-021-09885-2.html
   My bibliography  Save this article

Welfare Participation Reduced Severe Child Multidimensional Poverty in Rural China: Better Targeting Can Lead to Greater Poverty Reduction

Author

Listed:
  • Qin Gao

    (Columbia University)

  • Fuhua Zhai

    (Fordham University)

  • Yi Wang

    (University of Illinois)

Abstract

Dibao (or the Minimum Livelihood Guarantee) is China’s primary social assistance program and serves as a safety net for families in poverty. This article examines the effects of rural Dibao receipt on severe child multidimensional poverty using the nationally representative China Household Income Project (CHIP) 2013 and 2018 data. Multidimensional poverty is measured by seven dimensions, including water, sanitation facilities, shelter, education, health, information, and consumer durables. Propensity score matching analysis reveals that rural Dibao receipt in 2018 were associated with reductions in severe child multidimensional poverty as measured by deprivations in four or more dimensions, but the same effect was not detected in 2013. Simulation analysis results indicate even greater reductions in severe child multidimensional poverty associated with rural Dibao receipt in 2018 if accurate targeting could be achieved. Based on these findings, this study makes several policy recommendations, including broadening rural Dibao’s population coverage and enhancing its targeting performance, adopting additional policies that specifically target children or families with children, and linking Dibao with these additional policies to meet the survival and developmental needs of children.

Suggested Citation

  • Qin Gao & Fuhua Zhai & Yi Wang, 2022. "Welfare Participation Reduced Severe Child Multidimensional Poverty in Rural China: Better Targeting Can Lead to Greater Poverty Reduction," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 15(3), pages 913-932, June.
  • Handle: RePEc:spr:chinre:v:15:y:2022:i:3:d:10.1007_s12187-021-09885-2
    DOI: 10.1007/s12187-021-09885-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12187-021-09885-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12187-021-09885-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 476-487, August.
    2. Han, Huawei & Gao, Qin, 2019. "Community-based welfare targeting and political elite capture: Evidence from rural China," World Development, Elsevier, vol. 115(C), pages 145-159.
    3. Gao, Qin & Yang, Sui & Li, Shi, 2015. "Welfare, targeting, and anti-poverty effectiveness: The case of urban China," The Quarterly Review of Economics and Finance, Elsevier, vol. 56(C), pages 30-42.
    4. Golan, Jennifer & Sicular, Terry & Umapathi, Nithin, 2017. "Unconditional Cash Transfers in China: Who Benefits from the Rural Minimum Living Standard Guarantee (Dibao) Program?," World Development, Elsevier, vol. 93(C), pages 316-336.
    5. Di Qi & Yichao Wu, 2019. "Comparing the Extent and Levels of Child Poverty by the Income and Multidimensional Deprivation Approach in China," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 12(2), pages 627-645, April.
    6. Kakwani, Nanak & Li, Shi & Wang, Xiaobing & Zhu, Mengbing, 2019. "Evaluating the effectiveness of the rural minimum living standard guarantee (Dibao) program in China," China Economic Review, Elsevier, vol. 53(C), pages 1-14.
    7. Yi Wang & Sui Yang & Qin Gao, 2019. "Social assistance and household consumption in urban China: from 2002 to 2013," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 24(2), pages 182-207, April.
    8. Huo, Xuan & Gao, Qin & Zhai, Fuhua & Lin, Mingang, 2020. "Effects of welfare entry and exit on adolescent mental health: Evidence from panel data in China," Social Science & Medicine, Elsevier, vol. 253(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cheng, Xiaoyu & Wang, Jianying & Chen, Kevin Z., 2022. "Does villager social capital hinder poverty targeting? Evidence from poverty-stricken county of Western China," China Economic Review, Elsevier, vol. 71(C).
    2. Han, Huawei & Gao, Qin, 2019. "Community-based welfare targeting and political elite capture: Evidence from rural China," World Development, Elsevier, vol. 115(C), pages 145-159.
    3. Jiandong Chen & Ping Wang & Jixian Zhou & Malin Song & Xinyue Zhang, 2022. "Influencing factors and efficiency of funds in humanitarian supply chains: the case of Chinese rural minimum living security funds," Annals of Operations Research, Springer, vol. 319(1), pages 413-438, December.
    4. Hisatoshi Hoken & Hiroshi Sato, 2022. "Effects of Public Transfers on Income Inequality and Poverty in Rural China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(5), pages 29-48, September.
    5. Zhao, Xi & Wang, Julia Shu-Huah, 2021. "The effects of multiple welfare program participatifon on educational expenditures and time use: Evidence from the social safety net in China," Children and Youth Services Review, Elsevier, vol. 131(C).
    6. Zixuan He & Xiangming Fang & Nathan Rose & Xiaodong Zheng & Scott Rozelle, 2021. "Rural minimum living standard guarantee (rural Dibao) program boosts children's education outcomes in rural China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 13(1), pages 54-77, January.
    7. Wenguang Zhang & Ting Lei & Yu Gong & Jun Zhang & Yirong Wu, 2022. "Using Explainable Artificial Intelligence to Identify Key Characteristics of Deep Poverty for Each Household," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
    8. Henrietta A. Asiamah, 2021. "Childhood Chronic Poverty Estimations: Looking Beyond a Count Index," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(1), pages 185-215, February.
    9. Muhammad Asef Shaiq & Ali Akbar Barati & Khalil Kalantari & Ali Asadi, 2022. "Dimensions of Poverty in Kunduz Province of Afghanistan," World, MDPI, vol. 3(4), pages 1-14, November.
    10. Hlasny, Vladimir & Asadullah, M Niaz & Sabra, Alia, 2022. "The Adoption of the Multidimensional Poverty Index in Developing Asia: Implications for Social Program Targeting and Inequality Reduction," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 56(3), pages 185-195.
    11. Huawei Han & Qin Gao, 2020. "Does Welfare Participation Improve Life Satisfaction? Evidence from Panel Data in Rural China," Journal of Happiness Studies, Springer, vol. 21(5), pages 1795-1822, June.
    12. Robson, Matthew & Vollmer, Frank & Doğan, Basak Berçin & Grede, Nils, 2024. "Distributional impacts of cash transfers on the multidimensional poverty of refugees: The Emergency Social Safety Net in Turkey," World Development, Elsevier, vol. 179(C).
    13. Bojan Srbinoski & Blagica Petreski & Marjan Petreski, 2023. "Measurement of Multidimensional Child Poverty: Evidence from North Macedonia," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(1), pages 247-271, February.
    14. Haiping Xu & Qunyong Jiang & Chuqiao Zhang & Shahzad Ahmad, 2023. "Left-behind experience and children’s multidimensional poverty: Evidence from rural China," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(1), pages 199-225, February.
    15. ZHANG, Yangyang & ZHENG, Xinye & XIE, Lunyu, 2021. "How do poverty alleviation coordinators help the impoverished in rural China? -- Evidence from the Chinese poor population tracking dataset," China Economic Review, Elsevier, vol. 69(C).
    16. Binayak Kandapan & Jalandhar Pradhan & Itishree Pradhan, 2023. "An Individual-Specific Approach to Multidimensional Child Poverty in India: a Study of Regional Disparities," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(5), pages 2075-2105, October.
    17. Luo, Jay, 2019. "Poverty alleviation research in rural China: Three decades and counting," SocArXiv gmuav, Center for Open Science.
    18. Yangyang Shen & Sabina Alkire, 2022. "Exploring China's Potential Child Poverty," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(1), pages 82-105, January.
    19. Pradhan, Itishree & Pradhan, Jalandhar & Kandapan, Binayak, 2023. "Caste-based analysis of multidimensional early childhood poverty in India: Patterns and determinants," Children and Youth Services Review, Elsevier, vol. 155(C).
    20. Yingfeng Fang & Fen Zhang, 2021. "The Future Path To China’s Poverty Reduction—Dynamic Decomposition Analysis With The Evolution Of China’s Poverty Reduction Policies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(2), pages 507-538, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:chinre:v:15:y:2022:i:3:d:10.1007_s12187-021-09885-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.