Assessment of Food Supply Using the Potential of the Digital Environment

Abstract

Adequate and sufficient food provision for the population is a fundamental element of the economic, social, and political security of the state, as well as of the stability and development of the real sector of the national economy. Food supply must align with sustainable development goals and be compatible with long-term environmental requirements. This study aims to examine approaches to assessing the level of food supply that could improve the management system of the national economy and the agro-industrial complex by leveraging digital environment capabilities. The information base comprised works by Russian and foreign authors on the research topic. Methods of analysis and synthesis, abstract-logical and economic-statistical approaches were applied, with Microsoft Office software products used as technical tools. The objects of the study are the food supply of the population and the digital environment. The subject of the study encompasses approaches to methods for assessing food provision using the potential of the digital environment. Based on the research, conclusions were drawn regarding the existence of large arrays of unstructured information, which necessitates prioritizing big data processing methods and situational monitoring; the need to expand the toolkit for assessing of food supply, including using artificial intelligence (AI) capabilities in the digital environment to analyze big data, such as fiscal data operators (FDOs), Yandex.WordStat service, and others; and exploring the potential of using Federal State Information Systems (FGIS) data to develop approaches for assessing and planning food production volumes. This characterizes the current state and necessary requirements for digitalization processes when analyzing the parameters of the country's population food supply. Therefore, given the scale and complexity of these processes, close interaction between the state and business, combined with an enhanced role for economic science, should be anticipated for the effective use of modern digital technologies. Using digital environment data will enable the construction of a multi-level system for assessing population food needs, actual consumption, and substantiating food production plans. Today, addressing these challenges is impossible without integrating information resources from the state and corporate sectors, which allows transitioning to a new level of agricultural production development and food supply assessment.