Cited by 26Poverty, Education, and Child WelfareSchool Choice and PerformanceIntergenerational and Educational Inequality Studies

Poverty exposure and cognitive abilities of children in rural China: Causation and the roles of family investments

Li, Yunsen, Yang, Haoran, Luo, Liang·2021·Children and Youth Services Review

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Crossref · 10.1016/j.childyouth.2020.105747

Cites

49 of 49 references verified0 citation errors · 0 not checkable

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  • A lack of sensitive scaffolding may result in a less stimulating context for cognitive development.

    “a lack of sensitive scaffolding may result in a less stimulating context for cognitive development [16–19].”

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Authors
Li, Y., Yang, H., & Luo, L.
Affiliations
  • Southwest University of Political Science & Law (CN)
  • Beijing Normal University (CN)
Corresponding author
Li, Yunsen
Venue
Children and Youth Services Review
Publisher
Elsevier BV
Published
2021-02
Volume
121
Pages
105747
ISSN
0190-7409 (ISSN-L)
OpenAlex
W3110032245
Cited by
24
References
49
Citations by year
2026: 4 · 2025: 6 · 2024: 7 · 2023: 5 · 2022: 2
FWCI
2.38
Type
journal article
Language
en
Open access
closed
Locations
  • Children and Youth Services Review (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • National Natural Science Foundation of China
  • China Postdoctoral Science Foundation
  • Humanities and Social Science Fund of Ministry of Education of China
  • Chongqing Municipal Education Commission
Topics
  • Social Sciences › Safety Research › Poverty, Education, and Child Welfare
  • Social Sciences › Education › School Choice and Performance
  • Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
Keywords
household poverty, children's cognitive abilities, education funding, parental educational expectations, permissive parenting, rural children, cognitive gap, rural China

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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