INDEX OF INDIVIDUAL SENSITIVITY THRESHOLD IN THE DIAGNOSIS OF BEHAVIORAL CHARACTERISTICS OF AGRO-INDUSTRIAL ENTERPRISES

Abstract

The research is devoted to the development, mathematical substantiation, and empirical verification of econometric tools for the diagnosis and systemic management of behavioral deviations of corporate management in agro-industrial enterprises under conditions of extreme macroeconomic shocks and post-war stabilization. The relevance of the topic is deeply driven by the fact that the classical neoclassical financial paradigm reveals an absolute methodological inability to explain the polar asymmetry of corporate decisions under identical exogenous conditions: some enterprises proactively adapt and invest in strategic development, while others fall into cognitive paralysis, demonstrate irrational loss aversion, and destroy shareholder value. The article develops the author's concept of a "corridor of permissible financial policies," which allows for the operational and econometric separation of objectively forced macroeconomic adaptation of enterprises from the pure behavioral residual of management. The Aggregated Index of Exogenous Constraints Severity (IEO), which consolidates the impact of monetary, logistical, and security factors, and the Extended Corporate Governance Quality Index (CG_qext), comprising eight behavioral and structural indicators of institutional debiasing, are introduced.The fundamental scientific contribution is the development of a dynamic mathematical model of the Individual Sensitivity Threshold Index (ISE) – a breaking point of rationality that determines the critical limit of external stress beyond which management shifts to destructive management patterns. An empirical analysis of seven public agro-industrial companies in Ukraine (Kernel, Astarta, IMC, Agroton, KSG Agro, Ukrproduct, AgroGeneration) for 2018–2024 proves that the scale of assets does not guarantee survival, completely refuting the "illusion of size." It was established that only enterprises with a high institutional filter (CG_qext≥0.7) are able to form an ISE threshold that exceeds peak shocks, effectively blocking management panic and ensuring a high taxonomic resilience coefficient (K_t). The macroeconomic losses, which reached USD 37.6 billion due to the suboptimal behavior of the sector, were evaluated. Strategic algorithms for proactive stabilization are substantiated, including the massive implementation of precision agriculture technologies (PATs), re-engineering of soil nutrition, and autonomization of logistics with the involvement of state subsidization programs, which are capable of generating over USD 3.8 billion of additional national product in the context of recovery.