| Issue |
E3S Web Conf.
Volume 449, 2023
International Scientific and Practical Conference “Priority Directions of Complex Socio-Economic Development of the Region” (PDSED 2023)
|
|
|---|---|---|
| Article Number | 09017 | |
| Number of page(s) | 7 | |
| Section | Development of Agrarian Economy in Conditions of Digitalization of Agriculture | |
| DOI | https://doi.org/10.1051/e3sconf/202344909017 | |
| Published online | 16 November 2023 | |
Analytical assessment of the economic efficiency of innovations in the field of agro-industrial complex
1 Ryazan State Agrotechnological University Named after P.A. Kostychev, 390048 Ryazan, Russia
2 The Academy of the FPS of Russia, 1, Sennaya Str., 390000, Ryazan, Russia
* Corresponding author: ay.gusev@mail.ru
Significant financial resources are invested in the innovative economic development in all countries of the world. At the present stage of development of the Russian Federation, there is a complex of problems hindering the introduction of innovations in the activities of most sectors of the national economy of Russia. The modern methodology for evaluating the efficiency of investments does not take into account the innovative component, and the calculation of efficiency is carried out by the “boiler” method, where it is difficult to identify the role and significance of innovations in increasing the effect of investment activity. To solve this problem, it is proposed to identify and evaluate the efficiency of innovations and their profitability, separately from the integral investment costs by analytical decomposition of investment profitability parameters. The proposed algorithm allows to explore not only the quantitative side of investments and their volumes, but also evaluate the quality of the investment project, explore and analyse the cost structure, its qualitative characteristics, and identify the most effective investment and innovation costs.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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