АНТИКРИЗОВІ СЦЕНАРІЇ МІЖГАЛУЗЕВОЇ ВЗАЄМОДІЇ ПЕРЕРОБНО-ХАРЧОВИХ АГРОХОЛДИНГІВ В ЦІЛІСНІЙ СИСТЕМІ ЕКОНОМІЧНИХ ВІДНОСИН З АГРАРНИМИ ПІДПРИЄМСТВАМИ

Abstract

The article contains the theoretical and methodological principles of developing anti-crisis scenarios of intersectoral interaction of agricultural market participants to minimize the impact of production risks of agricultural enterprises, transformation of indicators of the production and technological cycle and neutralization of the crisis level of competitiveness of processing industry enterprises. The density curves of the distribution of the probability of accidental losses were constructed; a risk zone is determined for an in-depth interval assessment of minimization of the crisis of agricultural holdings. Meat-processing agricultural holdings are singled out and the multi-vector nature of changes by types of production-technological cycle is determined based on the results of a multi-level diagnosis of the crisis of competitiveness of meat-processing agricultural holdings in the integral system of economic relations with agricultural enterprises. Poly-vector changes in the level of the crisis of the competitiveness of meat-processing agroholdings according to the integral indicator of ensuring the production and technological cycle in the time interval of 2021–2023 have been determined (without taking into account the amount of financial support from private investors and taking into account capitalized profit and state preferential lending). Empirical dependencies of variable indicators of insurance of the production and technological cycle of domestic meat processing agroholdings in the approximation of actuarial calculations are substantiated. Anti-crisis scenarios of cross-industry interaction of meat-processing agricultural holdings in an integrated system of economic relations with agricultural enterprises to neutralize crisis factors of competitiveness for 2024–2028 are proposed. It was concluded that the level of competitiveness of agroholdings depends on dynamic development, which is influenced by indices of agricultural raw materials, price indices for by-products and their processing products, preferential credit rates, volumes of private investments, state material assistance and the level of insurance payments.