CORRELATION-REGRESSION ANALYSIS AND ECONOMETRIC MODELING OF FACTORS AFFECTING THE EFFICIENCY OF AGRICULTURAL PRODUCTION

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Published: 2026-04-07
DOI: https://doi.org/10.66073/5apqa718
Keywords:
agricultural modernization, smart agriculture, production automation, robotization, automated decision-making systems, ecosystem modeling technologies

Main Article Content

Kenjayev Toshbolta Aminovich
Independent researcher at the Denov Institute of Entrepreneurship and Pedagogy

Abstract

This article presents the results of correlation-regression analysis and econometric modeling of factors affecting the efficiency of agricultural production.

Article Details

Issue

Vol. 1 No. 1 (2026): GOLLECTION OF MATERIALS of the Republican Scientific and Practical Conference “CURRENT ISSUES IN THE DEVELOPMENT OF AGRICULTURE IN NORTHERN REGIONS AND THEIR INNOVATIVE SOLUTIONS”

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Articles
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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Kenjayev Toshbolta Aminovich. (2026). CORRELATION-REGRESSION ANALYSIS AND ECONOMETRIC MODELING OF FACTORS AFFECTING THE EFFICIENCY OF AGRICULTURAL PRODUCTION. Partner Conferences of the International Scientific Journal Research Focus, 1(1), 277-280. https://doi.org/10.66073/5apqa718

References

1. O‘zbekiston Respublikasi Vazirlar Mahkamasining “O‘zbekiston Respublikasi agrosanoat majmui va qishloq xo‘jaligida raqamlashtirish tizimini rivojlantirish chora-tadbirlari to‘g‘risida”gi 2020-yil 17-dekabrdagi 794-son qarori.

2. Малышева Н. В. Факторы, влияющие на развитие сельского хозяйства с учетом особенностей деятельности сельхозтоваропроизводителей/ Научное обозрение. Экономические науки. 2014. № 2 С. 25-26. https://s.science-economy.ru/pdf/2014/2/231.pdf