Investment attractiveness of the agro-industrial complex: problems and solutions

Abstract

Relevance. The analysis of trends in the development of the agricultural sector is presented, which makes it possible to interpret the importance of increasing the investment attractiveness of the agricultural sector of the economy.Methods. Within the framework of a systematic approach, methods of economic research were used: systematic, bibliographic, comparative.Results. A number of the most common risks arising in the investment process have been identified. Based on theoretical considerations, it is established that the main disadvantage is the underestimation of the main indicators. The role and importance of methods for assessing the profitability of investments are determined. The most acceptable approaches in this area are highlighted. The mechanisms of adjusting the investment attractiveness of the agro-industrial complex are presented. The features of the study of the effectiveness of socio-economic development of the agro-industrial complex through its supply and creative functions are revealed. The importance of competitiveness factors is pointed out.In order to implement investment projects and programs in this context, it is necessary to develop and use management systems that increase the attractiveness of investments in agricultural enterprises. When evaluating alternatives (investment projects) with respect to essential objective functions, quantitative values (or utility values) are determined. An appropriate scale should be used for each objective function. The type of measurement scale depends on the measurement of the expression of the objective function. They should be presented in the order of levels — starting from the lowest level of measurability. The use of these techniques can significantly improve the quality of investment decision-making. In this study, it is considered that methodologies are particularly useful when creating a system for monitoring the investment attractiveness of organizations.