Финансы: теория и практика (Dec 2023)

Methodological Aspects of Determining the Estimated (Marginal) Cost of Objects in the Implementation of Projects based on the IPA

  • I. V. Kosorukova,
  • S. G. Sternik,
  • E. E. Heifets

DOI
https://doi.org/10.26794/2587-5671-2023-27-6-101-112
Journal volume & issue
Vol. 27, no. 6
pp. 101 – 112

Abstract

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The paper is devoted to the study of the issues of determining the estimated (marginal) cost of investment projects that are implemented within the framework of the IPA. The purpose of the study is to develop scientific and practical recommendations for determining the estimated (marginal) value of real estate objects created in the framework of investment projects implemented on the basis of the IPA. The paper is relevant because current regulatory documentation does not clearly define the concepts of estimated (marginal) cost of infrastructure objects, and there are no recommendations for their assessment, which leads to distortions of the cost base for obtaining subsidies and impacts the evaluation of the effectiveness of such projects. The scientific novelty of the research consists in the development of scientific and practical recommendations for determining the estimated (marginal) value of real estate objects created as part of an investment project implemented on the basis of the IPA. The authors used the following methods of scientific research: deduction, induction and logical method. The concept of the estimated (marginal) value of real estate objects is clarified, which is based on the estimated cost of construction, taking into account a certain number of assumptions. A review of the current methods of calculating the estimated value in Russia and abroad is conducted. It is concluded that in Russia there is no single base for determining the cost of the CIW. The basic index method in the prices of 2000– 2001 significantly reduces the accuracy of calculations. The idea of forming a new dynamic system of the resource-index method, which takes into account the life cycle of a building and is based on big data of price information in construction, on the basis of which it is possible to develop a system of forecasting the estimated value of an object using machine learning methods, is prospective.

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