Яндекс.Метрика

DEVELOPMENT OF A METHODOLOGY FOR ANALYZING THE INVESTMENT ATTRACTIVENESS OF AGRO-INDUSTRIAL ENTERPRISES


DOI 10.33938/245-22

Issue № 5, 2024, article № 3, pages 22-28

Section:

Language: Russian

Original language title: РАЗВИТИЕ МЕТОДИКИ АНАЛИЗА ИНВЕСТИЦИОННОЙ ПРИВЛЕКАТЕЛЬНОСТИ ПРЕДПРИЯТИЙ АГРОПРОМЫШЛЕННОГО КОМПЛЕКСА

Keywords: AGRO-INDUSTRIAL COMPLEX, ANALYSIS OF INVESTMENT ATTRACTIVENESS, WEIGHTING FACTORS, INVESTMENTS, INVESTMENT ACTIVITY, INTEGRAL INDICATOR, IMPROVEMENT OF INVESTMENT EFFICIENCY, AGRICULTURAL SECTOR OF THE ECONOMY

Abstract: In the modern conditions of the functioning of the Russian economy, agro-industrial holdings face the need to achieve a significant market share, expand production, introduce new technologies and cover increasing demand. Increasing production volumes, searching for new trading partners and equipment suppliers requires significant investments. To increase the efficiency of investments, a competent assessment of the investment attractiveness of agricultural companies is necessary, taking into account the rapid changes in the external environment. The purpose of this work is to develop a methodology for analyzing the investment attractiveness of agricultural organizations in the Russian Federation, taking into account changes in the importance of factors affecting it. The concept of investment attractiveness has been clarified and the methodology for its assessment has been improved. In the course of the work, based on Russian and foreign sources, the conducted survey formulated a list of factors that have a different impact on the choice of an investor. In the course of the work, an integral assessment of the investment attractiveness of companies in the agricultural sector of the Russian Federation was determined, based on the author's analysis methodology. The study showed that, depending on the state of development of the country, the strength of the influence of various factors on investment attractiveness varies. To account for the power of influence, it is recommended to use weighting factors.

Authors: Zakharova Polina Sergeevna, Naumova Olga Alexandrovna