Search arXiv⌕ Search
Home/Archive/arXiv

arXiv · 2305.04348

A Scoping Review of Internal Migration and Left-behind Children's Wellbeing in China

Jinkai Li
View original source ↗Read source document ↗Export metadata ↓

Abstract

Children's well-being of immigrants is facing several challenges related to physical, mental, and educational risks, which may obstacle human capital accumulation and further development. In rural China, due to the restriction of Hukou registration system, nearly 9 million left-behind children (LBC) are in lack of parental care and supervision in 2020 when their parents internally migrate out for work. Through the systematic scoping review, this study provides a comprehensive literature summary and concludes the overall negative effects of parental migration on LBC's physical, mental (especially for left-behind girls), and educational outcomes (especially for left-behind boys). Noticeably, both parents' and mother's migration may exacerbate LBC's disadvantages. Furthermore, remittance from migrants and more family-level and social support may help mitigate the negative influence. Finally, we put forward theoretical and realistic implications which may shed light on potential research directions. Further studies, especially quantitative studies, are needed to conduct a longitudinal survey, combine the ongoing Hukou reform in China, and simultaneously focus on left-behind children and migrant children.

Explore related subjects

econ.GNq-fin.EC

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Jinkai Li. 2023-05-07. A Scoping Review of Internal Migration and Left-behind Children's Wellbeing in China. https://arxiv.org/abs/2305.04348

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

arXiv2026

Computing Endogenous Transformations in Processing Networks: A Dynamic Calibration Approach

Understanding how supply chains endogenously transform requires a parametric model of processing networks with non-neutral substitution elasticities. While the Cascaded CES production function provides a rigorous framework, dynamically calibrating its structural parameters from time-series data constitutes a highly non-convex inverse optimization problem. Since enforcing strict microeconomic concavity renders standard monolithic approaches computationally intractable, we propose a novel structure-exploiting algorithm to bypass this limitation. By leveraging the physical upstreamness topology of the network, our hybrid heuristic effectively breaks the curse of dimensionality inherent in economywide processing networks. Applying this framework to U.S. time-series data, we provide a scalable computational engine to fully endogenize complex supply-chain transformations, ultimately uncovering the elastic origins of asymmetric macroeconomic tail risks.

econ.GN↗
arXiv2026

Access to Live AI Advice and Behavior Under Risk: An Incentivized Experiment

Generative AI has become an everyday advisor, and the systems people consult are live and interactive, not pre-scripted. We ask whether access to such a system changes behavior under risk. In an incentivized experiment (N = 158), participants made lottery choices with an optional decision aid presented as a conventional pre-written tool, a live one-shot AI, or a live interactive AI they could query, with information format held equivalent across conditions. Risk preferences are elicited via DOSE. We find no evidence that access to a live AI advisor changes risk aversion.

econ.GN↗
arXiv2026

Screening Out the Needy: The Effects of SNAP Work Requirements

We examine the effectiveness of work requirements as a screening device in the Supplemental Nutrition Assistance Program (SNAP). Work requirements for "able-bodied adults without dependents" were suspended after the Great Recession and gradually reinstated across counties and states in the 2010s. Using linked administrative SNAP and employment data from five states and a triple-differences design, we find that work requirements reduce SNAP participation by seven percent without increasing labor supply and disproportionately screen out low-income individuals. We develop a welfare framework to interpret these results and find that the social costs of work requirements exceed budget savings.

econ.GN↗