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State investment policy of technological transformation of the agro-industrial complex of the Krasnodar Krai

ISSUE 8, AUGUST 2026

PDF  Article PDF Version

Received: 27 April 2026

Accepted: 18 May 2026

Available online: 27 August 2026

Subject Heading: ECONOMIC POLICY OF THE STATE

JEL Classification: Q14, Q18

Pages: 39-52

https://doi.org/10.24891/lzpfhd

Aleksei A. KHALYAPIN Kuban State Agrarian University named after I.T. Trubilin (Kuban SAU), Krasnodar, Russian Federation
wamp__1@rambler.ru

https://orcid.org/0000-0001-6110-9091

Subject. This article focuses on the improving the mechanisms of State support for investments aimed at digital and environmental modernization of the agro-industrial complex of the Krasnodar Krai.
Objectives. The study aims to develop an algorithm of the State investment policy, ensuring the transition from extensive to innovative development of the agro-industrial complex of the region.
Methods. For the study, I used the methods of economic analysis and modeling based on digital monitoring.
Results. The article proposes a nine-step algorithm of the State investment policy, and reveals a steady increase in financing while maintaining the leading positions of subsidizing loans and technical re-equipment. It also shows an increase in investments to 1.23 trillion RUB by 2026.
Conclusions. For a sustainable technological transformation of the agro-industrial complex, it is necessary to replace static subsidies with an adaptive feedback system, prioritizing digital and environmental investments. Regional governments, ministries of agriculture, and scientific organizations can use the results of the study.

Keywords: State investment policy, agro-industrial complex, technological transformation, digitalization of agriculture, multiplicative effect, adaptive management

References:

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  6. Khalyapin A.A., Chernyshova P.E., Razumov K.A. et al. [Improving the investment policy of the agroindustrial complex of the Krasnodar Territory]. Ekonomika i upravlenie: problemy, resheniya, 2026, vol. 2, iss. 2, pp. 103–115. (In Russ.) DOI: 10.36871/ek.up.p.r.2026.02.02.012 EDN: GCOGTY
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