OPPORTUNITIES FOR INCREASING AGRICULTURAL EFFICIENCY IN UZBEKISTAN: THE CASE OF SAMARKAND REGION
DOI:
https://doi.org/10.60078/2992-877X-2025-vol3-iss7-pp80-86Abstract
This study evaluates the technical efficiency of wheat-producing farms in the Samarkand region and identifies the key factors influencing it. The analysis is based on survey data collected from 300 farmers in 2024. A two-stage methodological approach was applied: in the first stage, technical efficiency scores for each farm were estimated using the Cobb-Douglas production function; in the second stage, socio-economic and institutional determinants of efficiency were assessed using the Tobit regression model. The results reveal that the average technical efficiency level is 0.868, indicating that farmers have the potential to increase productivity by 13% using existing resources. According to the Tobit model, household size, the practice of tree planting, and the freedom to use fertilizers have a statistically significant and positive impact on efficiency, whereas membership in agricultural clusters has a significant but negative effect. The findings suggest that enhancing technical efficiency requires liberalizing input use, promoting environmentally friendly practices, and improving institutional frameworks.
Keywords:
efficiency Cobb-Douglas production function Tobit model agricultureReferences
Battese, G. E., & Coelli, T. J. (1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20(2), 325–332.
Bravo-Ureta, B. E., & Pinheiro, A. E. (1997). Technical, economic, and allocative efficiency in peasant farming: Evidence from the Dominican Republic. The Developing Economies, 35, 48–67.
Coelli, T. J., et al. (2005). An Introduction to Efficiency and Productivity Analysis (2nd ed.). Springer.
Devkota, K. P., va b., (2025). Assessing sustainable farming practices and wheat productivity in Samarkand region. Sustainability, 17(2), Article 1243.
Hossain, M. (2009). The impact of training on productivity of small-scale farmers in Bangladesh. Asian Journal of Agriculture and Development, 6(1), 89–102.
Jo‘rayev, I., & Hamroyev, M. (2022). Bug‘doy yetishtirishda texnik samaradorlik va klaster tizimining roli: O‘zbekiston tajribasi. Agrar Iqtisodiyot, 4(2), 77–89.
Karimov, A. (2018). Technical efficiency of cotton producers in Uzbekistan: A stochastic frontier approach. Quarterly Journal of International Agriculture, 57(2), 165–182.
Karimov, A.A. (2014) Factors affecting efficiency of cotton producers in rural Khorezm, Uzbekistan: Re-examining the role of knowledge indicators in technical efficiency improvement. Agric. Food Econ. 2, 1.
Karimov, A.A.; NiÇo-Zarazffla, M. (2015) Assessing Efficiency of Input Utilization in Wheat Production in Uzbekistan; V&R Unipress GmbH: Göttingen, Germany.
Masud, M. M., va b., (2018). Climate change awareness and its impact on technical efficiency of rice farming in Malaysia. Environmental Science and Pollution Research, 25(27), 27015–27023.
Rahman, S. (2003). Profit efficiency among Bangladeshi rice farmers. Food Policy, 28(5–6), 487–503.
Sherzod, B., Kim, K. R., & Lee, S. H. (2018). Agricultural transition and technical efficiency: An empirical analysis of wheat-cultivating farms in Samarkand Region, Uzbekistan. Sustainability, 10(9), 3232.
Siddiq, A., Zaman, Q. M., & Khan, A. A. (2016). Determinants of technical efficiency in wheat production: Evidence from Punjab, Pakistan. Pakistan Journal of Agricultural Research, 13–21.
Tobin, J. (1958). Estimation of relationships for limited dependent variables. Econometrica, 26(1), 24–36.
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