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Farmers’ Digital Literacy and Its Impact on Agricultural Green Total Factor Productivity: Evidence from China

Author

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  • Hubang Wang

    (School of Statistics and Data Science, Jilin University of Finance and Economics, Changchun 130117, China)

  • Yuyang Mao

    (School of Statistics and Data Science, Jilin University of Finance and Economics, Changchun 130117, China)

  • Mingzhang Zhou

    (School of Statistics and Data Science, Jilin University of Finance and Economics, Changchun 130117, China)

  • Xueyang Li

    (School of Statistics and Data Science, Jilin University of Finance and Economics, Changchun 130117, China)

Abstract

Digital literacy (DL) among farmers serves as a vital link between digital technology and green sustainable development, significantly enhancing agricultural green total factor productivity (AGTFP). This study employs panel data from the China Family Panel Studies (CFPS) covering 2014–2020, applying a two-way fixed effects model and machine learning techniques to examine the influence of farmers’ digital literacy on AGTFP. The results indicate that DL positively contributes to AGTFP. Further heterogeneity analysis shows stronger effects among male farmers, households with low trust, and those within the working-age population. Mechanism analysis indicates that social capital accumulation mediates the relationship, whereas agricultural socialization services strengthen the positive impact of DL on AGTFP. Additional analysis using machine learning models reveals that the impact of farmers’ digital literacy on AGTFP changes over time. Specifically, entertainment and learning-oriented network use enhances AGTFP, whereas work-related, social, and lifestyle-related use suppresses it. This study offers a more nuanced understanding by shifting from traditional macro-level frameworks to a micro-level perspective focused on farmers’ digital literacy. Moreover, the innovative application of explainable machine learning provides empirical evidence for the underlying drivers of AGTFP.

Suggested Citation

  • Hubang Wang & Yuyang Mao & Mingzhang Zhou & Xueyang Li, 2025. "Farmers’ Digital Literacy and Its Impact on Agricultural Green Total Factor Productivity: Evidence from China," Sustainability, MDPI, vol. 17(20), pages 1-26, October.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:20:p:9255-:d:1774387
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    as
    1. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    2. Yi Shi & Wencong Lu & Li Lin & Zenghui Li & Huangxin Chen, 2025. "Does Environmental Regulation Affect China’s Agricultural Green Total Factor Productivity? Considering the Role of Technological Innovation," Agriculture, MDPI, vol. 15(6), pages 1-25, March.
    3. Szopiński, Tomasz & Bachnik, Katarzyna, 2022. "Student evaluation of online learning during the COVID-19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    4. Yue, Qian & Zhang, Ming & Song, Yan, 2024. "Impact of digital divide on energy poverty across the globe: The mediating role of income inequality," Energy Policy, Elsevier, vol. 195(C).
    5. 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.
    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. Shen, Zhiyang & Wang, Songkai & Boussemart, Jean-Philippe & Hao, Yu, 2022. "Digital transition and green growth in Chinese agriculture," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    8. Lei Zhao & Yongqi Zhang & Haixia Zhang, 2022. "Research on the Impact of Digital Literacy on Farmer Households’ Green Cooking Energy Consumption: Evidence from Rural China," IJERPH, MDPI, vol. 19(20), pages 1-16, October.
    9. Nihal Ahmed & Zeeshan Hamid & Farhan Mahboob & Khalil Ur Rehman & Muhammad Sibt e Ali & Piotr Senkus & Aneta Wysokińska-Senkus & Paweł Siemiński & Adam Skrzypek, 2022. "Causal Linkage among Agricultural Insurance, Air Pollution, and Agricultural Green Total Factor Productivity in United States: Pairwise Granger Causality Approach," Agriculture, MDPI, vol. 12(9), pages 1-17, August.
    10. Ruofan Liao & Zhengtao Chen & Jirakom Sirisrisakulchai & Jianxu Liu, 2025. "Enhancing Rural Economic Sustainability in China Through Agricultural Socialization Services: A Novel Perspective on Spatial-Temporal Dynamics," Agriculture, MDPI, vol. 15(3), pages 1-28, January.
    11. Thia Hennessy & Doris Läpple & Brian Moran, 2016. "The Digital Divide in Farming: A Problem of Access or Engagement?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(3), pages 474-491.
    12. Danni Lu & Xinhuan Zhang & Degang Yang & Shubao Zhang, 2025. "What Affects Agricultural Green Total Factor Productivity in China? A Configurational Perspective Based on Dynamic Fuzzy-Set Qualitative Comparative Analysis," Agriculture, MDPI, vol. 15(2), pages 1-25, January.
    13. Qinhang Xu & Peixin Zhu & Liang Tang, 2022. "Agricultural Services: Another Way of Farmland Utilization and Its Effect on Agricultural Green Total Factor Productivity in China," Land, MDPI, vol. 11(8), pages 1-15, July.
    14. Yusheng Chen & Zhaofa Sun & Yanmei Wang & Ye Ma & Yongwei Zhou, 2024. "The Green Development in Saline–Alkali Lands: The Evolutionary Game Framework of Small Farmers, Family Farms, and Seed Industry Enterprises," Land, MDPI, vol. 13(4), pages 1-22, March.
    15. Ruisheng Li & Jiaoyan Chen & Dingde Xu, 2024. "The Impact of Agricultural Socialized Service on Grain Production: Evidence from Rural China," Agriculture, MDPI, vol. 14(5), pages 1-19, May.
    16. Qi Jiang & Jizhi Li & Hongyun Si & Yangyue Su, 2022. "The Impact of the Digital Economy on Agricultural Green Development: Evidence from China," Agriculture, MDPI, vol. 12(8), pages 1-22, July.
    17. Tao Chen & Muhammad Rizwan & Azhar Abbas, 2022. "Exploring the Role of Agricultural Services in Production Efficiency in Chinese Agriculture: A Case of the Socialized Agricultural Service System," Land, MDPI, vol. 11(3), pages 1-18, February.
    18. L.J. Hanifan, 1916. "The Rural School Community Center," The ANNALS of the American Academy of Political and Social Science, , vol. 67(1), pages 130-138, September.
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