THE EVOLUTIONARY THEORY IN THE STUDY OF THE AGRARIAN SECTOR: TECHNOLOGICAL TRAJECTORIES AND PATH-DEPENDENCE

Issue № 11, 2025, article № 1, pages 4-8

Section:

Language: Russian

Original language title: ЭВОЛЮЦИОННАЯ ТЕОРИЯ В ИССЛЕДОВАНИИ АГРАРНОГО СЕКТОРА: ТЕХНОЛОГИЧЕСКИЕ ТРАЕКТОРИИ И ЗАВИСИМОСТЬ ОТ ПРЕДШЕСТВУЮЩЕГО РАЗВИТИЯ

Keywords: PATH-DEPENDENCE, EVOLUTIONARY ECONOMIC THEORY, AGRO-INDUSTRIAL COMPLEX, TECHNOLOGICAL TRAJECTORY, TECHNOLOGICAL TRANSFORMATION, INSTITUTIONAL LOCK-IN, ROUTINES, TECHNOLOGICAL MODES

Abstract: The article is devoted to the analysis of the possibilities of applying evolutionary economic theory to the study of the technological transformation of the agro-industrial complex (AIC). The focus is on the key concepts of the evolutionary approach: technological trajectories and path-dependence. The aim of the work is to substantiate the relevance of the evolutionary apparatus for analyzing the specifics of technological changes in the agricultural sector, characterized by high inertia, capital intensity and dependence on external factors. The methodological basis was a systematic approach, comparative and retrospective analysis. As a result, specific manifestations of these concepts in the agro-industrial complex were identified and systematized: technological and institutional lock-ins, the phenomenon of import dependence, and cognitive conservatism of economic agents. A historical and economic analysis of the formation of evolutionary theory has been carried out, the classification of manifestations of path-dependence in the agricultural sector has been expanded, and directions for overcoming technological and institutional traps have been proposed. It is concluded that evolutionary economic theory, which explains the generation of diversity, selection mechanisms and institutional traps, provides an adequate conceptual framework for the development of regulatory mechanisms aimed at overcoming path-dependence and stimulating the transition of the agro-industrial complex to new technological trajectories.

Authors: Gorlov Aleksandr Vladimirovich