Статья опубликована в журнале: Экономический анализ: теория и практика, 2021, Т. 20, № 12, С. 2248 – 2261
Автор(ы): Larisa S. KOROBEINIKOVA, Mariya V. TKACHEVA, Vyacheslav V. KOROTKIKH
Рубрика: INTEGRATED ECONOMIC-SOCIO-ECOLOGICAL ANALYSIS
Subject. The environmental concept has become one of the main objectives in the field of sustainable development of management system. Along with a corporation’s financial sustainability, environmental and social sustainability constitute the modern notion of an economic entity’s sustainable development. The successful development of a corporation is possible, if there is an equilibrium in all areas of economic entity’s operations.
Objectives. This paper investigates the complex interactions of financial and environmental performance at the corporate level. The aim is to develop a methodological approach to predictive analysis of corporate environmental and financial performance, focused on short-term oriented management forecasts.
Methods. The predictive analysis of environmental and financial processes suggests the use of a large number of performance indicators. A statistical model based on a matrix predictor combining econometric and multidimensional prediction methods became the basis of our methodological approach to predictive analysis. In the empiric section, we present a predictive analysis for the environmental and financial performance of AO Minudobreniya.
Results. We developed a methodological approach to the predictive analysis of corporate environmental and financial performance to identify potential risk areas and further plan preventive measures to ensure the desired level of economic sustainability.
Conclusions. The findings can be useful for solving a number of specific problems related to information, organizational and methodological support to both a sustainable performance predictive analysis and formation of relevant information for stakeholders about the level of effectiveness of environmental protection measures.
Ключевые слова: corporation, multidimensional vector, growth rate, small sample