The Impact of Internet Use on Income Inequality from Different Sources Among Farmers: Evidence from China

The rapid advancement of digital communication and information technologies has significantly influenced rural household income and income inequality. Based on a sample of 2216 farmers from the China Family Panel Studies (CFPS), this analysis combines Ordinary Least Squares (OLS) regression with Conditional Mixed Process (CMP) estimation to account for endogeneity, evaluating how internet adoption affects both income diversification and inequality patterns among Chinese farmers. The findings reveal three key insights: First, internet use significantly increases farmers’ household income while reducing overall income inequality. Second, the positive impact of internet use on total income is primarily driven by increases in wage and operating income, while the reduction in income inequality is associated with a more equitable distribution of these income sources. Third, human capital plays a moderating role, with high-human-capital farmers benefiting more from internet use in terms of income growth and inequality reduction. Based on these findings, this study suggests that policymakers should promote internet adoption to enhance farmers’ incomes and address income inequality, while paying attention to the varying effects across different human capital groups. These insights provide valuable policy implications for achieving common prosperity in developing countries and regions.

Authors

Institutions

Publication Details

Journal
Agriculture
Published
2025-04-09
DOI
https://doi.org/10.3390/agriculture15080818
Citations
5
Primary Topic
Agricultural Innovations and Practices
Type
article
Field-Weighted Citation Impact
24.16

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Internet Use on Income Inequality from Different Sources Among Farmers: Evidence from China

Chunrong Zhang, Shuo Zhang, Ming Chang, Qingning Lin et al.
5 citations
Agriculture
Agricultural Innovations and Practices
24.16
article

The Impact of Internet Use on Income Inequality from Different Sources Among Farmers: Evidence from China

Chunrong Zhang, Shuo Zhang, Ming Chang, Qingning Lin, Xuan Zhang
article en
5 citations

Abstract

The rapid advancement of digital communication and information technologies has significantly influenced rural household income and income inequality. Based on a sample of 2216 farmers from the China Family Panel Studies (CFPS), this analysis combines Ordinary Least Squares (OLS) regression with Conditional Mixed Process (CMP) estimation to account for endogeneity, evaluating how internet adoption affects both income diversification and inequality patterns among Chinese farmers. The findings reveal three key insights: First, internet use significantly increases farmers’ household income while reducing overall income inequality. Second, the positive impact of internet use on total income is primarily driven by increases in wage and operating income, while the reduction in income inequality is associated with a more equitable distribution of these income sources. Third, human capital plays a moderating role, with high-human-capital farmers benefiting more from internet use in terms of income growth and inequality reduction. Based on these findings, this study suggests that policymakers should promote internet adoption to enhance farmers’ incomes and address income inequality, while paying attention to the varying effects across different human capital groups. These insights provide valuable policy implications for achieving common prosperity in developing countries and regions.

AgricultureVol. 15(8)
Central South University (CN), Institute of Agricultural Economics and Development (CN), Chinese Academy of Agricultural Sciences (CN), Renmin University of China (CN)
Chinese Academy of Agricultural Sciences, Agricultural Science and Technology Innovation Program
Openalex Percentile: Top 1%
Agricultural Innovations and Practices
24.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.