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Shencheng Wang

Biographic Data

ID6087762
NAMEShencheng Wang
GIVEN NAMESShencheng
FAMILY NAMEWang
SIGNATUREWANG S
AFFILIATIONSTeaching and Research Department of Social and Ecological Civilization Party School of the Central Committee of C.P.C/National Academy of Governance Beijing China
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS2
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Welfare Dependency of Urban Dibao in China

    Shencheng Wang, Keqing Han et al.•ARTICLE•Asia Pacific Journal of Social…•2024•References: 10

  • Does employment assistance promote employment of the impoverished in China? Evidence from a mixed methods approach

    Open Access•Shencheng Wang, Yongzheng Yang et al.•ARTICLE•Social Policy and Administration•2024•References: 17

    The issue of employment is extremely significant, and employment assistance programs work for special social assistance and employment support for the impoverished in China. Are employment assistance programs, particularly those providing job recommendations and free vocational training, effective in promoting employment in China? This study answers this question using a mixed methods approach. Logistic regressions and propensity score matching–d…

  • Expenditure patterns among low‐income families in China

    Open Access•Yunyu Xiao, Julian Chun‐chung Chow et al.•ARTICLE•Journal of Community Psychology•2023•Cited by: 2•References: 74

    Low‐income families in urbsan China have been benefited from the Minimum Living Standard Guarantee Assistance ( dibao ) policy since 1999. However, little is known about how child‐specific family expenditure patterns impact child outcomes. Based on 2531 children aged 8–16 years from the National Survey of Social Policy Support System for Low‐Income Families in Urban and Rural China, this is the first study of its kind to (1) identify family expen…

  • Expenditure patterns among low‐income families in China

    Open Access•Yunyu Xiao, Julian Chun‐chung Chow et al.•ARTICLE•Journal of Community Psychology•2023•Cited by: 2•References: 74

    Low‐income families in urbsan China have been benefited from the Minimum Living Standard Guarantee Assistance ( dibao ) policy since 1999. However, little is known about how child‐specific family expenditure patterns impact child outcomes. Based on 2531 children aged 8–16 years from the National Survey of Social Policy Support System for Low‐Income Families in Urban and Rural China, this is the first study of its kind to (1) identify family expen…

  • Expenditure patterns among low‐income families in China

    Open Access•Yunyu Xiao, Julian Chun‐chung Chow et al.•ARTICLE•Journal of Community Psychology•2023•Cited by: 2•References: 74

    Low‐income families in urbsan China have been benefited from the Minimum Living Standard Guarantee Assistance ( dibao ) policy since 1999. However, little is known about how child‐specific family expenditure patterns impact child outcomes. Based on 2531 children aged 8–16 years from the National Survey of Social Policy Support System for Low‐Income Families in Urban and Rural China, this is the first study of its kind to (1) identify family expen…

  • Welfare Dependency of Urban Dibao in China

    Shencheng Wang, Keqing Han et al.•ARTICLE•Asia Pacific Journal of Social…•2024•References: 10

  • Does employment assistance promote employment of the impoverished in China? Evidence from a mixed methods approach

    Open Access•Shencheng Wang, Yongzheng Yang et al.•ARTICLE•Social Policy and Administration•2024•References: 17

    The issue of employment is extremely significant, and employment assistance programs work for special social assistance and employment support for the impoverished in China. Are employment assistance programs, particularly those providing job recommendations and free vocational training, effective in promoting employment in China? This study answers this question using a mixed methods approach. Logistic regressions and propensity score matching–d…

China (2 works) · Economics (2 works) · Health disparities and outcomes (2 works) · Artificial Intelligence (1 work) · Business (1 work) · Computer Science (1 work) · Dependency (UML (1 work) · Employment and Welfare Studies (1 work) · Environmental health (1 work) · Geography (1 work)

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