Optimization of theoretical and methodological methods of assessing the investment attractiveness of the regional Agro-Industrial Complex

The relevance of assessing the investment attractiveness of the agro-industrial complex (AIC) is due to its key role in ensuring food security and sustainable development of the regional economy. The existing methods – rating, scoring, cluster and expert – often do not take into account the specifics of the agro-industrial complex: high capital intensity, dependence on natural and climatic conditions and long payback periods. An analysis using the example of the Krasnodar Territory has shown that its high investment attractiveness is determined by favorable climatic conditions, a strong raw material base, well-developed logistics and significant government support. At the same time, the disadvantages of traditional approaches have been identified: the subjectivity of assessments, ignoring forecast indicators and weak consideration of risks. The authors propose a transition to complex multiplicative and predictive models, including the adaptation of the foreign 4D methodology (dynamics, accessibility, reliability, long-term), which will increase the objectivity and strategic value of assessing the investment attractiveness of the agro-industrial complex.