Sustainable development of regional food systems: optimality criteria and state assessment methods

Issue № 9, 2025, article № 14, pages 122-130

Language: Russian

Original language title: УСТОЙЧИВОЕ РАЗВИТИЕ РЕГИОНАЛЬНЫХ ПРОДОВОЛЬСТВЕННЫХ СИСТЕМ: КРИТЕРИИ ОПТИМАЛЬНОСТИ И МЕТОДЫ ОЦЕНКИ СОСТОЯНИЯ

Keywords: MODELING, CRITERIA, FOOD SYSTEM, REGIONS, SUSTAINABILITY

Abstract: Transformation of regional food systems into sustainable development mode is important both for ensuring sustainability of food security and sustainability of our state. Based on the concepts of strong and weak sustainability of reproduction process, this work identifies signs of sustainable development and implements a typology of regional food systems, which can be observed during implementation of the strategy for transition of these systems to sustainable development mode. This article also mathematically formalizes provisions on criteria for sustainable development at regional and national levels. The presented criteria are applicable for any point in time, and therefore, under trajectory of sustainable development, an approximation by smooth analytical function, for example, a power or logarithmic one, is proposed. It is noted that in this case, signs of exponent or coefficient in logarithmic expression will be indicators of presence or absence of signs of sustainable development on a interval [0; T]. The criteria for sustainable development of food systems can be used to solve such problems as retrospective analysis, evaluation of forecast trajectory options and simulation experiments using various model designs, for multi-criteria optimization in dynamic models. In conclusion, conditions were outlined that must be met for a quantitative solution to problems of strategic planning for food systems development, namely: selection of appropriate dynamics variables; selection of criteria in economic, environmental and social areas; quantitative description of missing but necessary dependencies; compliance of sustainable development plan options with analyzed scenarios; scenario analysis should identify conditions and the very possibility of obtaining Pareto-optimal solutions.

Authors: Siptits Stanislav Ottovich, Romanenko Irina Anatolevna, Evdokimova Natalia Egorovna