Vestnik Sankt-Peterburgskogo Universiteta. Seriya 10. Prikladnaya Matematika. Informatika. Protsessy Upravleniya
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Vestnik Sankt-Peterburgskogo Universiteta. Seriya 10. Prikladnaya Matematika. Informatika. Protsessy Upravleniya, 2023, Volume 19, Issue 2, Pages 199–211
DOI: https://doi.org/10.21638/11701/spbu10.2023.206
(Mi vspui577)
 

Computer science

Research of investment attractiveness based on cluster analysis

D. Qi, V. M. Bure

St. Petersburg State University, 7–9, Universitetskaya nab., St. Petersburg, 199034, Russian Federation
References:
Abstract: The continued economic development of various countries or regions has resulted in increased competition in global markets, leading to a concentration of investors and skilled labour in locations with high investment attractiveness. The investment attractiveness of a given country or region is determined by its investment potential and risk, which are characterized by a combination of various significant factors.This paper seeks to develop an econometric model to estimate the amount of investment in fixed capital in a specific region, taking into consideration the linear relationship between the observed results, in order to determine the main conditions that are necessary for achieving stable and high economic growth. These conditions include the acceleration of investment activity and the implementation of major national reforms to ensure the effectiveness of the investment process. To assess the overall influence of the financial and economic indicators studied on the volume of investment, multiple regression analysis was utilized as the primary mathematical tool of the study. Furthermore, assumptions were made regarding the rank of the observations. To validate this hypothesis, a cluster analysis was conducted, grouping the observations into four clusters based on their results, depending on the volume of investment or the geographical characteristics of the region.
Keywords: investment attractiveness, cluster analysis, hierarchical regression model, multiple regression models, correlation analysis, least squares method.
Received: February 22, 2023
Accepted: April 25, 2023
Document Type: Article
UDC: 519.233.5
MSC: 62P12
Language: English
Citation: D. Qi, V. M. Bure, “Research of investment attractiveness based on cluster analysis”, Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 19:2 (2023), 199–211
Citation in format AMSBIB
\Bibitem{QiBur23}
\by D.~Qi, V.~M.~Bure
\paper Research of investment attractiveness based on cluster analysis
\jour Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr.
\yr 2023
\vol 19
\issue 2
\pages 199--211
\mathnet{http://mi.mathnet.ru/vspui577}
\crossref{https://doi.org/10.21638/11701/spbu10.2023.206}
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    Вестник Санкт-Петербургского университета. Серия 10. Прикладная математика. Информатика. Процессы управления
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    References:20
     
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