Assessing the Investment Attractiveness of Renovation
- DOI
- 10.2991/aebmr.k.200730.104How to use a DOI?
- Keywords
- investment, efficiency, renovation, factor analysis, regression
- Abstract
The widespread use of mathematical methods is the most important area of improving economic analysis, increasing the effectiveness of the analysis of the organizational activities of investment in the renovation of real estate. One of the most effective tools for implementing the mathematical problem of economic analysis is factor analysis. Factor analysis is a gradual transition from the initial factor system to the final system of factors, the disclosure of a set of quantitatively measured factors that influence the change in the effective indicator. In the presence of many different factors affecting the investment attractiveness of renovation, it is advisable to apply regression analysis. The regression equations and indicators of statistical significance obtained in the work allow suggesting the feasibility and sufficiency of the set of technical and urban planning factors of the renovated property accepted for analysis to obtain reliable estimates of the potential capitalization of the investment and construction project of the renovated real estate. The established close relationship between the variable factors and investment indicators of renovation allows effectively, through the implementation of the proposed regression equation, determining the economic efficiency of the renovated object.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - I.S. Zharikov PY - 2020 DA - 2020/08/01 TI - Assessing the Investment Attractiveness of Renovation BT - Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020) PB - Atlantis Press SP - 567 EP - 572 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200730.104 DO - 10.2991/aebmr.k.200730.104 ID - Zharikov2020 ER -