INNOVATION PROCESSES IN AGRICULTURE IMPROVING DIGITALIZATION
DOI:
https://doi.org/10.5281/zenodo.22091153Abstract
This article assesses the impact of improving digitalization of innovation processes in agriculture on economic
growth in Surkhandarya region using a multifactor econometric model. Based on statistical data for 2011–2025, the relationship
between agricultural output, investment, employment, and land productivity was analyzed using the least squares
method. The Cobb–Douglas production function results show that all factors positively influence economic growth, with
the highest elasticity for employment (0.919) and land productivity (0.839). The model’s high statistical significance
(R²=0.999, F-statistic=5158.8) confirms its reliability, revealing increasing returns to scale and the priority role of labor
resources and land productivity in regional economic development.
Keywords
agriculture, innovation processes, digitalization, econometric modeling, Cobb–Douglas function, investments, employment, land productivity, economic growth, regional development, Surkhandarya regionReferences
Decree of the President of the Republic of Uzbekistan No. DP-6155 dated February 3, 2021 «On the State program
for the implementation of the Action Strategy for the five priority areas of development of the Republic of Uzbekistan in
— 2021 in the «Year of Youth Support and Public Health Promotion» // URL: https://lex.uz/docs/6956500
Kuznets S. Economic growth and income inequality. The American Economic Review. 1955. Vol. 45, No. 1. P. 1–28.
Altukhov A.I., Nechaev V.I. Economic problems of innovative development of the grain products sub-complex of
Russia. Moscow: V.V. Nasirddinov Publishing House, 2015. 477 p.
Ushachev I.G., Trubilina I.T., Oglobina E.S., Sandu I.S. Innovative activity in the agrarian sector of the Russian
economy. Moscow: KolosS, 2007. 636 p.
Derunova E.A. Modeling the evaluation of the effectiveness of scientific developments in the whole economy //
Economy of the Region. 2012. No. 2. P. 250–257.
Butyrin V.V. The use of geographic information technologies in the management of the regional agricultural complex //
Agrarian Scientific Journal. 2016. No. 4. P. 75–78.
Sandu I.S., Chepik D.A., Ryzhenkova N.E. Methodology of determining top-priority directions of innovational
development of agricultural production. Moscow: Fund “Personnel Reserve”, 2016. P. 279–290.
Derunova E.A., Andryushenko S., Gerchikova E., Firsova A. Monitoring of innovative activities effectiveness in
agriculture // Scientific Papers Series Management, Economic Engineering in Agriculture and Rural Development.
Vol. 18, No. 3.
National statistics committee of the Republic of Uzbekistan - stat.uz
Downloads
Published
How to Cite
Issue
Section
