The study proposes the construction of a statistical model of the company's eco-logical and economic state, using the synthesis of econometrics and multidimen-sional forecasting methods, which provide the correlation of the obtained indica-tors, taking into account mutual proportionality in relation to the dynamic charac-teristics of environmental sustainability factors within the framework of the sus-tainable development paradigm. A combined model is implemented with a step-by-step modification of the matrix predictor into a regression-matrix one. Using the method of least squares, the study shows the codependency of the ecological and economic indicators of the sustainability of the enterprise: the cost of capital repairs of fixed assets for environmental protection; labor payment expenditures, including deductions for social needs of employees involved in environmental pro-tection; operating environmental costs; sales revenue; profitability of production and sales. The obtained regression coefficient showed a high degree of dependence of the closeness of the relationship of the considered environmental and economic indicators of sustainability (more than 98%), which proves their codependency and the need for their balanced use, since the value of at least one of the indica-tors outside the optimal range allows us to state a high probability of financial damage for enterprises. Using a combined model based on a matrix predictor, the study demonstrates the calculation of the predicted values of environmental and economic indicators of sustainability for 2021.The peculiarity of this model is to take into account the lagging (up to 2 years) values of factors and their growth over the previous period (for 1 year). The proposed model contains a mechanism of multivariate expectations, which allows us to consider various options for the future. Also, this model allows the automation of the forecasting process, which is reflected in the implementation of the trend of transition to the digital space in the implementation of sustainable development goals.
The introduction of innovations acts as a means of ensuring sustainable develop-ment both at the state and regional level, and at the level of individual enterprises. The effectiveness of the last level is due not only to the innovative activity of the company's management and personnel. According to the authors, in this case, the structure of the economic process of innovative development of industrial enter-prises is significantly influenced by other factors, the role and significance of which require specification, taking into account the industry specifics of economic enti-ties. The article analyzes the economic structure of the innovation process of Rus-sian manufacturing enterprises. The decomposition method determines the indica-tors of market and technological novelty, as well as the scale of diffusion of inno-vative products. A detailed analysis of the innovative activity of Russian industrial enterprises is carried out, depending on the degree of manufacturability of the type of economic activity. For this purpose, the types of economic activities of enter-prises are grouped into separate aggregates that correspond to a certain degree of manufacturability, determined according to the international classification used by the OECD. The manufacturing sector is investigated in the form of industries attributed to one of four meso-groups: high-tech, medium-high-tech, medium-low-tech and low-tech activities. For each of them, its representative is allocated (one of the types of economic activity), the dynamic characteristics of innovation ac-tivity of which differ significantly from the characteristics of the group as a whole. The proposed approach allows us to study the dynamics of development and de-termine the main stages of the innovation process in the types of activities of manufacturing industries of various degrees of manufacturability. It was found that the highest innovative activity is characteristic of high-tech Russian enterpris-es. A decrease in the degree of manufacturability of production has a negative im-pact on the innovative activity of meso-groups in general. The exception is the class of low-tech industries. The innovative activity of the group of enterprises of low-tech industries is much higher than the activity of medium-high-tech indus-tries.
The vector of sustainable development imposes a complex of new requirements on the management of enterprises, the implementation of which implies the con-sistent introduction of innovative digital technologies. In these conditions, the management of modern enterprises needs to assess not only the future costs, the prospects of the implemented ICT technologies, the susceptibility of the produc-tion potential to this ICT technology, but the future potential and the cumulative effect of the costs incurred. With the use of the cost-benefit method, the correla-tion dependence of labor productivity indicators and costs of investments in in-formation and communication technologies was revealed. It has been confirmed that for regions with a high level of industrial development, fixed capital expendi-tures have a cumulative (cumulative) effect. Territories with a predominance of agricultural enterprises and manufacturing industries are characterized by a high susceptibility of the regional economy to the introduction of highly efficient standardized technologies in the field of ICT. And for regions with an extensive type of economic development (forestry and chemical industries), there is a low sensitivity of labor productivity to the level of investment proceeds in the ICT sec-tor. Using the methods of strategic analysis: SWOT - analysis, PEST - analysis, the main factors for identifying the investment potential of the technologies being introduced have been identified.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.