Issue |
E3S Web Conf.
Volume 535, 2024
XIII International Scientific and Practical Forum “Environmental Aspects of Sustainability of Construction and Management of Urban Real Estate” (ESCM-2024)
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Article Number | 02015 | |
Number of page(s) | 6 | |
Section | Construction Project Life Cycle Management: Technologies, Economics, Expertise | |
DOI | https://doi.org/10.1051/e3sconf/202453502015 | |
Published online | 11 June 2024 |
Information modeling technologies as a growth factor of investment activity in construction
The Russian Presidential Academy of National Economy and Public Administration (RANEPA) ; 82 Vernadskyy Avenue, Moscow, 119571, Russian Federation
* Corresponding author: zaytseva-li@ranepa.ru
The transition to a new model of economic growth of a country with a sovereign economy requires a significant increase in investment activity not only in the housing sector, road transport infrastructure, but also in the industrial sector of the national economy. The main burden on the creation of industrial enterprises of new industries in the field of high technology lies on the state budget. Meanwhile, a number of projects for the construction of new industrial enterprises, reconstruction and overhaul of existing ones are initiated by the business environment. The active development of industrial mortgages, which started in 2022, opens up new opportunities for activating the sphere of industrial construction. Obviously, the volumes, terms and objects of lending are currently burdened with a number of requirements and restrictions. The analysis carried out by the authors showed that the use of information modeling technologies, big data and artificial intelligence are able, providing transparency of investment and construction processes, to level the risks of their lending. Moreover, bearing in mind the long duration of construction, the authors suggest using smart contracts that allow making operational adjustments to the course of construction.
Key words: industrial mortgage / investment and construction processes / information technology / investment activity / platform solutions / smart contracts
© The Authors, published by EDP Sciences, 2024
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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