Integrated Assessment of the Level of Socio-Economic Security of Food Industry Enterprises
DOI:
https://doi.org/10.37659/2663-5070-2024-13-44-53Keywords:
socio-economic security, integral assessment, food industry, indicators, normalization, resilience, riskAbstract
This article presents a comprehensive study of the level of socio-economic security of food industry enterprises in Ukraine over the period 2020–2024. Based on an in-depth analysis of academic literature, official statistics, and practical challenges of wartime management, the author proposes a methodology for integral assessment of enterprise security that combines financial, social, and production-related factors. The core indicators include: the share of unprofitable enterprises in the industry, the average monthly wages of employees, and the industrial production index in the food sector. The methodological foundation relies on min-max normalization and integral index calculation using equal-weight aggregation.
Using statistical data from the State Statistics Service of Ukraine along with expert estimations, the article outlines the dynamics of the security index over five years. It was revealed that in 2022, the integral index reached a critically low level (0.167), driven by the destructive consequences of full-scale war, including a sharp rise in the number of unprofitable enterprises and a significant decline in production volumes. However, the period of 2023–2024 demonstrated a clear positive trend: a reduction in enterprise losses, rising wages, and recovery in industrial output. The integral index in 2024 rose to 0.978, indicating substantial sectoral resilience and the ability to adapt to exogenous shocks.
The study proves the effectiveness of the proposed method as a quantitative tool for monitoring enterprise security and supporting decisions in public policy, strategic planning, risk management, and investment evaluation. The article emphasizes the importance of integrating social indicators into security monitoring frameworks, particularly in crisis and post-crisis contexts. The developed model has both scientific and practical significance, making it applicable at both macroeconomic and enterprise levels.
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