Forecasting Profit from Sales Based on the Bit Analysis Methodology as an Element of the Process of Sustainable Economic Growth (ESG) Concept

Gniyatulla Ishbayev, Anatoly Kuritsyn and Natalia Lazareva
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Gniyatulla Ishbayev: Limited Liability Company Scientific and Production Enterprise “BURINTEKH”
Anatoly Kuritsyn: Limited Liability Company Scientific and Production Enterprise “BURINTEKH”
Natalia Lazareva: Saint-Petersburg State Marine Technical University

A chapter in Finance, Economics, and Industry for Sustainable Development, 2024, pp 253-263 from Springer

Abstract: Abstract The article discusses an innovative approach to forecasting sales profits based on a number of two-factor multiplicative models of growth rates. It is shown that for these models, there are dynamic trajectories of changes in factors that ensure sustainable economic growth and have a quadratic essence. Based on them, a target-based algorithm for calculating forecast indicators of an enterprise’s commercial activity has been developed, which makes it possible to determine the optimal possible growth rate of sales profits and the maximum growth rates of revenue and costs corresponding to this level. A chain of transformations of growth rates is presented, which allows not only a comprehensive but also a systematic approach to the problem of profit forecasting, as an element of sustainable economic growth within the framework of the ESG concept.

Keywords: Factor movement trajectories; Maximum and optimal growth rates; CVP analysis; BIT analysis; Elasticity concept; Transformation chain; Integrated and systematic approaches; ESG concept (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-56380-5_23

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DOI: 10.1007/978-3-031-56380-5_23

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