Digital transformation and agricultural competitiveness in Central Asia: A comparative empirical analysis

Received 26.03.2026
Revised 05.08.2026
Published 04.09.2026

Abstract

Digital transformation has become a key driver of agricultural development in Central Asia, where enhancing the competitiveness of the agricultural sector is of strategic importance for ensuring sustainable economic growth and food security. This study aimed to assess the relationship between digitalisation and agricultural competitiveness through a comparative analysis of Kazakhstan, Kyrgyzstan, Uzbekistan, and Tajikistan. The empirical analysis was based on statistical data for the period 2010-2023 obtained from the World Development Indicators database, FAOSTAT, and official national statistical sources. To evaluate the study variables, composite indices of digitalisation and agricultural competitiveness were developed using the Min-Max normalisation method. The relationship between the indices was examined using descriptive statistics, comparative cross-country analysis, and Pearson correlation analysis. The findings indicate that digitalisation increased steadily across all four countries, whereas the dynamics of agricultural competitiveness differed substantially. A strong positive correlation between the two indices was identified for Kazakhstan (r = 0.97), Uzbekistan (r = 0.99), and Tajikistan (r = 0.98), while Kyrgyzstan exhibited a strong negative correlation (r = -0.95). The findings suggest that the impact of digitalisation on agricultural competitiveness depends not only on the diffusion of digital technologies but also on the quality of the institutional environment, the structural characteristics of the agricultural sector, and the efficiency of resource utilisation. The novelty of the study lies in the comprehensive assessment of the relationship between digitalisation and agricultural competitiveness in Central Asian countries based on the proposed composite indices, which made it possible to demonstrate that this relationship is shaped by country-specific characteristics of agricultural development. The findings may support the formulation of public policies and digital transformation strategies aimed at improving resource efficiency, strengthening agricultural competitiveness, and promoting the sustainable development of rural areas

Keywords

digitalisation; agricultural competitiveness; Central Asia; information and communication technologies; digital transformation; Pearson correlation analysis
Suggested citation
Parpieva, N., Sulaimanova, A., & Sulaimanova, Ch. (2026). Digital transformation and agricultural competitiveness in Central Asia: A comparative empirical analysis. Bulletin of the Kyrgyz National Agrarian University, 24(3), 35-47. https://doi.org/10.63621/bknau./3.2026.35

References

  1. Abbasi, R., Martinez, P., & Ahmad, R. (2022). The digitization of agricultural industry: A systematic literature review on Agriculture 4.0. Smart Agricultural Technology, 2, article number 100042. doi: 10.1016/j.atech.2022.100042.
  2. Aker, J.C. (2011). Dial “A” for agriculture: A review of information and communication technologies for agricultural extension in developing countries. Agricultural Economics, 42(6), 631-647. doi: 10.1111/j.1574-0862.2011.00545.x.
  3. Amoussouhoun, R., Arouna, A., Ruzzante, S., & Banout, J. (2024). Adoption of ICT4D and its determinants: A systematic review and meta-analysis. Heliyon, 10(9), article number e30210. doi: 10.1016/j.heliyon.2024.e30210.
  4. Basso, B., & Antle, J. (2020). Digital agriculture to design sustainable agricultural systems. Nature Sustainability, 3(4), 254-256. doi: 10.1038/s41893-020-0510-0.
  5. Birner, R., Daum, T., & Pray, C. (2021). Who drives the digital revolution in agriculture? A review of supply-side trends, players and challenges. Applied Economic Perspectives and Policy, 43(4), 1260-1285. doi: 10.1002/aepp.13145.
  6. Cui, L., & Wang, W. (2023). Factors affecting the adoption of digital technology by farmers in China: A systematic literature review. Sustainability, 15(20), article number 14824. doi: 10.3390/su152014824.
  7. Diaz, A.C., Sasaki, N., Tsusaka, T.W., & Szabo, S. (2021). Factors affecting farmers’ willingness to adopt a mobile app in the marketing of bamboo products. Resources, Conservation and Recycling Advances, 11, article number 200056. doi: 10.1016/j.rcradv.2021.200056.
  8. Dibbern, T., Romani, L.A.S., & Massruhá, S.M.F.S. (2024). Main drivers and barriers to the adoption of Digital Agriculture technologies. Smart Agricultural Technology, 8, article number 100459. doi: 10.1016/j.atech.2024.100459.
  9. Dzhumagulov, A., & Mistriukova, I. (2025). Digital eco-transformation: Regulating sustainable agricultural practices in Kyrgyzstan. E3S Web of Conferences, 614, article number 03023. doi: 10.1051/e3sconf/202561403023.
  10. Fabregas, R., Kremer, M., & Schilbach, F. (2019). Realizing the potential of digital development: The case of agricultural advice. Science, 366(6471), article number eaay3038. doi: 10.1126/science.aay3038.
  11. Fielke, S., Taylor, B.M., & Jakku, E. (2020). Digitalisation of agricultural knowledge and advice networks: A state-of-the-art review. Agricultural Systems, 180, article number 102763. doi: 10.1016/j.agsy.2019.102763.
  12. Food and Agriculture Organization of the United Nations (FAO). (n.d.). FAOSTAT. Retrieved from https://www.fao.org/faostat/en/.
  13. Food and Agriculture Organization of the United Nations (FAO). (2017). The future of food and agriculture: Trends and challenges. Retrieved from https://www.fao.org/3/i6583e/i6583e.pdf.
  14. Ingram, J., & Maye, D. (2020). What are the implications of digitalisation for agricultural knowledge? Frontiers in Sustainable Food Systems, 4, article number 66. doi: 10.3389/fsufs.2020.00066.
  15. International Telecommunication Union (ITU). (2017). Measuring the information society report 2017 (Vol. 1). Retrieved from https://www.itu.int/en/ITU-D/Statistics/Pages/publications/mis2017.aspx.
  16. Kadyraliev, A., Oruntayeva, A., Kamchybekov, T., Abyshov, I., & Bigali, A. (2024). The impact of digital technologies on the effectiveness of management in the agricultural sector of the Kyrgyz Republic. Ekonomika APK, 31(5), 35-44. doi: 10.32317/ekon.apk/5.2024.35.
  17. Klerkx, L., Jakku, E., & Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and Agriculture 4.0: New contributions and a future research agenda. NJAS: Wageningen Journal of Life Sciences, 90-91, article number 100315. doi: 10.1016/j.njas.2019.100315.
  18. Latruffe, L. (2010). Competitiveness, productivity and efficiency in the agricultural and agri-food sectors. OECD Food, Agriculture and Fisheries Papers, No. 30. Paris: OECD Publishing. doi: 10.1787/5km91nkdt6d6-en.
  19. Nakasone, E., Torero, M., & Minten, B. (2014). The power of information: The ICT revolution in agricultural development. Annual Review of Resource Economics, 6, 533-550. doi: 10.1146/annurev-resource-100913-012714.
  20. National Statistical Committee of the Kyrgyz Republic. (2024). Information and communication technologies in the Kyrgyz Republic, 2019-2023. Retrieved from https://www.stat.gov.kg/ru/publications/informacionno-kommunikacionnye-tehnologii-v-kyrgyzskoj-respublike/.
  21. OECD & Joint Research Centre of the European Commission. (2008). Handbook on constructing composite indicators: Methodology and user guide. Paris: OECD Publishing. doi: 10.1787/9789264043466-en.
  22. Pomfret, R. (2019). The Central Asian economies in the twenty-first century: Paving a new silk road. Princeton: Princeton University Press. doi: 10.23943/princeton/9780691182216.001.0001.
  23. Rose, D.C., & Chilvers, J. (2018). Agriculture 4.0: Broadening responsible innovation in an era of smart farming. Frontiers in Sustainable Food Systems, 2, article number 87. doi: 10.3389/fsufs.2018.00087.
  24. Rotz, S., Duncan, E., Small, M., Botschner, J., Dara, R., Mosby, I., Reed, M., & Fraser, E.D.G. (2019). The politics of digital agricultural technologies: A preliminary review. Sociologia Ruralis, 59(2), 203-229. doi: 10.1111/soru.12233.
  25. Sharma, A., Mohan, A., Johri, A., & Asif, M. (2025). Determinants of financial technology (FinTech) adoption by the farmers in agrarian economy. Social Sciences & Humanities Open, 11, article number 101370. doi: 10.1016/j.ssaho.2025.101370.
  26. Trendov, N.M., Varas, S., & Zeng, M. (2019). Digital technologies in agriculture and rural areas: Status report. Rome: Food and Agriculture Organization of the United Nations (FAO).
  27. Wang, S., Yang, Y., Yin, H., Zhao, J., Wang, T., Yang, X., Ren, J., & Yin, C. (2025). Towards digital transformation of agriculture for sustainable development in China: Experience and lessons learned. Sustainability, 17(8), article number 3756. doi: 10.3390/su17083756.
  28. Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M.-J. (2017). Big data in smart farming: A review. Agricultural Systems, 153, 69-80. doi: 10.1016/j.agsy.2017.01.023.
  29. World Bank. (n.d.). World development indicators. Retrieved from https://databank.worldbank.org/source/world-development-indicators.