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Farmers' participation in messenger‐based social groups and its effects on performance in irrigated areas of Kazakhstan and Uzbekistan

Author

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  • Kurbanov, Zafar
  • Tadjiev, Abdusame
  • Djanibekov, Nodir
  • Govind, Ajit
  • Akramkhanov, Akmal

Abstract

The penetration of information and communication technologies (ICTs) in farming communities is increasing the use of smartphone‐based instant messaging apps. Despite this, the reasons behind participation and the impact on farm productivity in developing countries remain unexplored. This study uses survey data of cotton growers in Kazakhstan and Uzbekistan to explore factors explaining participation in social media groups and its impact on farm performance. The results show that the factors and benefits differ across these two countries. Participation in social media groups has a positive effect on cotton yields in both countries, but increases revenue only in Kazakhstan. We discuss possible reasons for contrasting results and policy implications for improving agricultural extension and advisory services in Central Asia. Scaling up smartphone‐based e‐extension should focus on younger, more educated farmers. Emphasizing associated economic benefits and fostering decision‐making autonomy among farmers will be crucial for creating conducive environment for benefiting from e‐extension services.

Suggested Citation

  • Kurbanov, Zafar & Tadjiev, Abdusame & Djanibekov, Nodir & Govind, Ajit & Akramkhanov, Akmal, 2026. "Farmers' participation in messenger‐based social groups and its effects on performance in irrigated areas of Kazakhstan and Uzbekistan," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 42(3), pages 1438-1451.
    • Handle: RePEc:zbw:espost:342355
    DOI: 10.1002/agr.21995
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    1. Doris Läpple & Thia Hennessy & Carol Newman, 2013. "Quantifying the Economic Return to Participatory Extension Programmes in Ireland: an Endogenous Switching Regression Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 467-482, June.
    2. Wanglin Ma & R. Quentin Grafton & Alan Renwick, 2020. "Smartphone use and income growth in rural China: empirical results and policy implications," Electronic Commerce Research, Springer, vol. 20(4), pages 713-736, December.
    3. Lorin M. Hitt, 1999. "Information Technology and Firm Boundaries: Evidence from Panel Data," Information Systems Research, INFORMS, vol. 10(2), pages 134-149, June.
    4. Awudu Abdulai & Wallace Huffman, 2014. "The Adoption and Impact of Soil and Water Conservation Technology: An Endogenous Switching Regression Application," Land Economics, University of Wisconsin Press, vol. 90(1), pages 26-43.
    5. Asfaw, Solomon & Shiferaw, Bekele & Simtowe, Franklin & Lipper, Leslie, 2012. "Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia," Food Policy, Elsevier, vol. 37(3), pages 283-295.
    6. Moti Jaleta & Menale Kassie & Kindie Tesfaye & Tilaye Teklewold & Pradyot Ranjan Jena & Paswel Marenya & Olaf Erenstein, 2016. "Resource saving and productivity enhancing impacts of crop management innovation packages in Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 47(5), pages 513-522, September.
    7. repec:plo:pone00:0237337 is not listed on IDEAS
    8. Briggeman, Brian C. & Whitacre, Brian E., 2010. "Farming and the Internet: Reasons for Non-Use," Agricultural and Resource Economics Review, Cambridge University Press, vol. 39(3), pages 571-584, October.
    9. Heidi Kaila & Finn Tarp, 2019. "Can the Internet improve agricultural production? Evidence from Viet Nam," Agricultural Economics, International Association of Agricultural Economists, vol. 50(6), pages 675-691, November.
    10. James Heckman, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    11. Ogutu, Sylvester Ochieng & Okello, Julius Juma & Otieno, David Jakinda, 2014. "Impact of Information and Communication Technology-Based Market Information Services on Smallholder Farm Input Use and Productivity: The Case of Kenya," World Development, Elsevier, vol. 64(C), pages 311-321.
    12. Mishra, Ashok K. & Park, Timothy A., 2005. "An Empirical Analysis of Internet Use by U.S. Farmers," Agricultural and Resource Economics Review, Cambridge University Press, vol. 34(2), pages 253-264, October.
    13. George W. Norton & Jeffrey Alwang, 2020. "Changes in Agricultural Extension and Implications for Farmer Adoption of New Practices," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 8-20, March.
    14. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    15. Amadu, Festus O. & McNamara, Paul E. & Miller, Daniel C., 2020. "Yield effects of climate-smart agriculture aid investment in southern Malawi," Food Policy, Elsevier, vol. 92(C).
    16. Abdul Nafeo Abdulai, 2016. "Impact of conservation agriculture technology on household welfare in Zambia," Agricultural Economics, International Association of Agricultural Economists, vol. 47(6), pages 729-741, November.
    17. David W. Carter & J. Walter Milon, 2005. "Price Knowledge in Household Demand for Utility Services," Land Economics, University of Wisconsin Press, vol. 81(2).
    18. Hoang, Hung Gia, 2020. "Determinants of the adoption of mobile phones for fruit marketing by Vietnamese farmers," World Development Perspectives, Elsevier, vol. 17(C).
    19. H. Frederick Gale, 1994. "Longitudinal Analysis of Farm Size over the Farmer's Life Cycle," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 16(1), pages 113-123.
    20. Lee, Guenwoo & Suzuki, Aya, 2020. "Motivation for information exchange in a virtual community of practice: Evidence from a Facebook group for shrimp farmers," World Development, Elsevier, vol. 125(C).
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    Keywords

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    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

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