Issue |
E3S Web Conf.
Volume 284, 2021
Topical Problems of Green Architecture, Civil and Environmental Engineering (TPACEE-2021)
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Article Number | 07026 | |
Number of page(s) | 9 | |
Section | Environmental Management and Economics | |
DOI | https://doi.org/10.1051/e3sconf/202128407026 | |
Published online | 12 July 2021 |
Assessment tools for investment attracting factors in rural development
1 Vyatka State University, 36 Moskovskaya str., 610000, Kirov, Russia
2 St. Petersburg State University of Economics, 21 Sadovaya str., 191023, St. Petersburg, Russia
* Corresponding author: plotnikov_2000@mail.ru
In modern conditions, all phenomena, and socio-economic processes of the functioning of economic entities are interconnected, interdependent and conditioned. When analyzing economic phenomena and processes, we are faced with the multidimensionality of their description, that is, with the need to consider a large number of features. At the same time, it is not always possible to immediately single out the most significant, the main ones. This fact actualizes the need to study both the form of connection between socio-economic phenomena and processes, and the degree of its manifestation. The analysis of the investment attractiveness of rural areas can be carried out, including using the method of factor analysis. The purpose of the article is to develop a tool for assessing the factors of investment attractiveness of rural areas. For this, a factor analysis was carried out to determine the factors that have the greatest impact on the functioning of agricultural enterprises for further work on the formation of a strategic program for the development of agricultural territories. The study was carried out on empirical data from the Northern districts of the Omsk region (Russia). The results obtained will make it possible to develop complex management solutions aimed at regulating the activities of agricultural producers and provide the necessary support measures.
© The Authors, published by EDP Sciences, 2021
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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