Year: 2025
Type: conference-paper
Abstract: The aim of the work is to identify the key factors affecting the development of the agrarian sector of the region, determine the cyclical regularities of its development and create a model of forced forecasting based on advanced methodological approaches. The work analyses statistical data, scientific literature and expert assessments, which allowed us to identify specific features of agricultural development in the northern climate. The method of spectral analysis of time series was applied to identify cyclical fluctuations in the production of various types of agricultural products. The scenarios of agricultural development, including inertial, moderate-innovation and forced scenarios, were developed. It is shown that the forced scenario is the most promising for ensuring food security and increasing the competitiveness of the agricultural sector of the region. The results of the study can be used to develop strategies and programmes for agricultural development and to adjust the development plans of the agricultural sector.
Source: BIO Web of Conferences
Authors: Sergey V. Asaturyan, Konstantin P. Dubina, Vladimir I. Khizhnyak, Valery A. Shchebeteev, Vladislav V. Bovsh
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4408000596