Data-Driven Management of Regional Food Security for Sustainable Development: A Case Study of Kazakhstan

Abstract

The purpose of the paper is to evaluate the possibility of implementing a food security management system in the Republic of Kazakhstan using the concept of data-driven decision-making in terms of achieving the principles of sustainable development. To achieve the goal set in the study, the authors use qualitative and statistical methods for processing the results obtained. Based on the analysis of internal and external factors, the authors determine indicators of food security in Kazakhstan for basic types of agricultural products/food in 2021, factors of influence on regional food security, and indicators of regional food security, which should be considered when making data-driven management decisions. A special external factor for Kazakhstan is the current geopolitical situation caused by the invasion of Russian troops in Ukraine. The study finds that in the process of managing regional food security, the use of the data-driven decision-making concept makes it possible to adequately assess the initial state of the problem and determine the optimal methods for its solution. The study identifies key internal and external factors influencing food security in the region and proposes a data-driven decision-making algorithm for managing food security. The results highlight the potential of this approach for improving food security management in the context of sustainable development.