Skip to main navigation menu Skip to main content Skip to site footer

ASSESSMENT OF INDICATORS OF INCREASING THE ECONOMIC EFFICIENCY OF AGROCLUSTERS

Affiliation
Teacher of the "Economics" department of Mamun University

Abstract

This article provides a detailed assessment and analysis of the indicators for enhancing the efficiency of agrocluster activities. The study examined the volume of agricultural production in the Khorezm region as a key indicator and evaluated its impact on the efficiency of agroclusters on a scientific basis. In addition, supplementary economic and technological indicators, including product quality, labor productivity, resource use efficiency, market share, processing volume, and innovation activity, were analyzed, and practical recommendations for their improvement were developed.

Keywords

agroclusters, efficiency indicators, agricultural products, product quality, labor productivity, innovation activity, market share, processing volume. № 10-SON OKTA BR, 2025 -YIL 267


References

  1. Oʻzbekiston Respublikasi Prezidentining Farmoni, 2023 -yil 11-sentabr PF-
  2. Juraev, F. D. S. (2021). Problems Of Informatization Of Management Of Agricultural Industry And Modeling Of Agriconomic System In A Market Economy. The American Journal of Applied sciences, 3(02), 49 -54.
  3. A. Subeesh and C.R. Mehta, Automation and digitization of agriculture using artificial intelligence and internet of things, Artif. Intell. Agric. , vol. 5, pp. 278 –291, 2021,
  4. J. Doshi, T. Patel, and S. Kumar Bharti, Smart Farming using IoT, a solution for optimally monitoring farming conditions, in Proc. Comput. Sci., vol. 160, pp. 746 – 751, 2019
  5. R.K. Goel, C.S. Yadav, S. Vishnoi, and R. Rastogi, Smart agriculture – Urgent need of the day in developing countries, Sustain. Comput.: Inform. Syst., vol. 30, p. 100512, 2021
  6. C. Johansen, M.E. Haque, R.W. Bell, C. Thierfelder, and R.J. Esdaile, "Conservation agriculture for small holder rainfed farming: opportunities and constraints of new mechanized seeding systems," Field Crops Res., vol. 132, pp. 18 – 32, 2012.
  7. W. Xu, Y. Li, and S. Chen, “Empirical analysis of agro -industrial clusters and total factor productivity,” Agricultural Economics Review, vol. 44, no. 1, pp. 55 –70,
  8. https://xorazms tat.uz/uz/

Downloads

Download data is not yet available.