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Digital literacy, labor migration and employment, and rural household income disparities

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  • Wang, Shumin
  • Qu, Caiping
  • Yin, Lingyan

Abstract

Mitigating the income disparity among farmers is essential to promoting common prosperity. Based on the data from the 2020 China Rural Revitalization Comprehensive Survey (CRRS), this paper delves into the impact of digital literacy on the income disparity among farmers. The study shows that digital literacy plays a significant role in reducing income disparity among farmers, which aligns with the “normalization theory” of the digital divide. Through a mediation effect model, the mechanism of digital literacy on the labor force's transition to employment is verified. The results reveal that digital literacy, by enhancing farmers' local part-time decision-making and increasing the time and return of working away from home, effectively mitigates income disparity among farmers. Heterogeneity analysis results demonstrate that compared to the central and eastern regions, digital literacy has a more significant mitigating effect on the income disparity among farmers in the western region; simultaneously, digital literacy has a noticeable negative impact on income disparity among farmers in non-poverty counties or villages engaged in e-commerce activities. Further research indicates that digital training positively adjusts the relationship between digital literacy and income disparity among farmers. This study suggests that while guiding the digital economy to create job demands, it is also crucial to pay attention to the high-quality supply of rural labor, to increase the tilt of digital resources towards vulnerable groups, and to actively adopt measures such as digital training to enhance farmers' digital literacy. This will facilitate the transition of rural labor to employment, fully unleashing the digital dividend to alleviate the issue of income disparity among farmers.

Suggested Citation

  • Wang, Shumin & Qu, Caiping & Yin, Lingyan, 2025. "Digital literacy, labor migration and employment, and rural household income disparities," International Review of Economics & Finance, Elsevier, vol. 99(C).
  • Handle: RePEc:eee:reveco:v:99:y:2025:i:c:s1059056025002035
    DOI: 10.1016/j.iref.2025.104040
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    1. Luo Lei & Qiao Dakuan & Tang Jin & Wang Lishuang & Liu Yuying & Fu Xinhong, 2024. "Research on the influence of education and training of farmers' professional cooperatives on the willingness of members to green production—perspectives based on time, method and content elements," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(1), pages 987-1006, January.
    2. Li, Fanghua & Zang, Dungang & Chandio, Abbas Ali & Yang, Dongmei & Jiang, Yuansheng, 2023. "Farmers' adoption of digital technology and agricultural entrepreneurial willingness: Evidence from China," Technology in Society, Elsevier, vol. 73(C).
    3. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    4. Siyu Gong & Ziye Sun & Bo Wang & Zhigang Yu, 2024. "Could Digital Literacy Contribute to the Improvement of Green Production Efficiency in Agriculture?," SAGE Open, , vol. 14(1), pages 21582440241, March.
    5. M. Niaz Asadullah & Anindita Bhattacharjee, 2022. "Digital Divide or Digital Provide? Technology, Time Use, and Learning Loss during COVID-19," Journal of Development Studies, Taylor & Francis Journals, vol. 58(10), pages 1934-1957, October.
    6. Zhou, Di & Zha, Fangjing & Qiu, Wenyan & Zhang, Xiaoru, 2024. "Does digital literacy reduce the risk of returning to poverty? Evidence from China," Telecommunications Policy, Elsevier, vol. 48(6).
    7. John E. DiNardo & Jörn-Steffen Pischke, 1997. "The Returns to Computer Use Revisited: Have Pencils Changed the Wage Structure Too?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 291-303.
    8. Díaz, Carlos & Dodel, Matías & Menese, Pablo, 2022. "Can one laptop per child reduce digital inequalities? ICT household access patterns under Plan Ceibal," Telecommunications Policy, Elsevier, vol. 46(9).
    9. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    10. Huang, Yuhong, 2024. "Digital transformation of enterprises: Job creation or job destruction?," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    11. Rasool, Samma Faiz & Zaman, Shah & Jehan, Noor & Chin, Tachia & Khan, Saleem & Zaman, Qamar uz, 2022. "Investigating the role of the tech industry, renewable energy, and urbanization in sustainable environment: Policy directions in the context of developing economies," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    12. Bartikowski, Boris & Laroche, Michel & Jamal, Ahmad & Yang, Zhiyong, 2018. "The type-of-internet-access digital divide and the well-being of ethnic minority and majority consumers: A multi-country investigation," Journal of Business Research, Elsevier, vol. 82(C), pages 373-380.
    13. Xiuling Chen & Jie Li, 2024. "Facilitating Knowledge-Driven Economic and Social Development: the Significance of Demographic Transformation in Tourism Villages in China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 13890-13918, September.
    14. Chen, Zhongwei & Cui, Ruijie & Tang, Can & Wang, Zihan, 2024. "Can digital literacy improve individuals' incomes and narrow the income gap?," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    15. Muhammad Salar Khan & Hamza Umer & Farhana Faruqe, 2024. "Artificial intelligence for low income countries," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    16. Lu, Jing & Xiao, Qinglan & Wang, Taoxuan, 2023. "Does the digital economy generate a gender dividend for female employment? Evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
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