Digital Skills Lift Incomes and Narrow Gaps for China’s Migrant Farm Workers

A study drawing on data from the China Family Panel Studies (CFPS) reports that improving digital literacy significantly raises the per capita household income of migrant agricultural workers and reduces income disparities within this group. The research, published in Humanities and Social Sciences Communications, tested the relationship empirically and found that the results held up after a series of robustness and endogeneity checks, strengthening the case that the association is not simply an artifact of study design. The authors, Haixia Zhang, Lei Zhao, and Tianhui Zhuang, frame the question in terms of advancing common prosperity among rural farmers, a policy goal in China concerned with broad-based income growth rather than gains concentrated among a few.

Their analysis focuses specifically on migrant agricultural workers and asks whether digital skills translate into measurable income advantages for this population. Mechanism analysis in the study points to three channels through which digital literacy appears to operate. The researchers find that digital skills contribute to income growth and narrowing the income gap by influencing migrant agricultural workers' formal employment, their occupational choices, and their transitions across industries.

In other words, workers with stronger digital capabilities seem better positioned to secure formal jobs, choose among occupations, and move between sectors, and these shifts are associated with both higher earnings and a smaller income spread. The benefits are not distributed evenly across the population studied. Heterogeneity analysis shows that the income growth and gap reduction effects are more pronounced in China's eastern region.

Notably, the effects are stronger among older-generation and lower-educated migrant agricultural workers than among the new generation and the higher educated, a pattern the authors report directly from their subgroup comparisons. Using RIF unconditional quantile regression, the study further examines where in the income distribution the effects appear. The income growth effect of digital literacy is strongest at the low-income end and weakens as income quantiles rise, while the effect on reducing income disparities is also concentrated at lower quantiles.

This pattern indicates that digital literacy operates primarily by lifting earnings near the bottom of the distribution rather than by boosting incomes across the board. Based on these findings, the authors propose policy recommendations, including improving the incentive mechanism for inclusive digital economy development and enhancing mechanisms for preventing income polarization among the rural migrant population. The published version is an early-release, peer-reviewed accepted manuscript carrying a permanent DOI, subject to further edits before the final Version of Record appears.

Subject of Research: The effect of digital literacy on income growth and income disparities among migrant agricultural workers in China

Article Title: Digital literacy, employment choices, and income disparities among migrant agricultural workers

Article References: Zhang, H., Zhao, L., & zhuang, T. (2026). Digital literacy, employment choices, and income disparities among migrant agricultural workers. Humanities and Social Sciences Communications. https://doi.org/10.1057/s41599-026-09471-3

Image Credits: AI Generated

DOI: 10.1057/s41599-026-09471-3

Keywords: digital literacy, migrant agricultural workers, income inequality, China Family Panel Studies, common prosperity, formal employment, occupational choice, industry transition, quantile regression, rural economy, Digital, literacy