Return Migration and Household Financial Behavior in China

ABSTRACT This paper examines the causal effect of return migration on household financial market participation in China, drawing on the New Economics of Labor Migration (NELM) framework. Using three waves (2017–2021) of the China Household Finance Survey (CHFS), covering 69,511 household‐wave observations, we employ inverse probability weighting (IPW) to address selection into return migration. IPW estimates indicate that return migration increases the probability of holding risky financial assets (stocks, mutual funds, wealth management products) by 1.67% points in the full sample, 3.58% points in urban areas, and 0.36% points in rural areas. The attenuation from OLS to IPW confirms positive selection, and bound analysis indicates that unobserved confounding is unlikely to overturn the main results. Mechanism analysis identifies wealth accumulation as the primary channel, explaining 45%–58% of the effect, suggesting that policies reducing investment thresholds could further promote financial inclusion among return migrants.

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Publication Details

Journal
Agribusiness
Published
2026-04-03
DOI
https://doi.org/10.1002/agr.70086
Primary Topic
Financial Literacy, Pension, Retirement Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Return Migration and Household Financial Behavior in China

Wenbiao Sha, Erqi Ge
Agribusiness
Financial Literacy, Pension, Retirement Analysis
article

Return Migration and Household Financial Behavior in China

Wenbiao Sha, Erqi Ge
article en

Abstract

ABSTRACT This paper examines the causal effect of return migration on household financial market participation in China, drawing on the New Economics of Labor Migration (NELM) framework. Using three waves (2017–2021) of the China Household Finance Survey (CHFS), covering 69,511 household‐wave observations, we employ inverse probability weighting (IPW) to address selection into return migration. IPW estimates indicate that return migration increases the probability of holding risky financial assets (stocks, mutual funds, wealth management products) by 1.67% points in the full sample, 3.58% points in urban areas, and 0.36% points in rural areas. The attenuation from OLS to IPW confirms positive selection, and bound analysis indicates that unobserved confounding is unlikely to overturn the main results. Mechanism analysis identifies wealth accumulation as the primary channel, explaining 45%–58% of the effect, suggesting that policies reducing investment thresholds could further promote financial inclusion among return migrants.

Agribusiness
Lingnan University (HK)
Reduced inequalities
Openalex Percentile: Top 22%
Financial Literacy, Pension, Retirement Analysis
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