Opportunities for using green technologies to assess the effectiveness of green innovations in Russian industry
Year: 2025
Type: article
Abstract: Aim. The work aimed to develop a rating map of Russian regions by the level of development of green technologies, as well as determine the potential for using individual quantitative indicators in models for assessing the effectiveness of green innovations in industry. Objectives. The work considers approaches to defining the concept of “green technologies”, analyzes the indicators of the development of green technologies in individual industries and regions of the country. Methods. The author used literature analysis, rating maps, correlation analysis, and Granger testing to solve the problems. Results. In 2020–2023, 48% of the analyzed regions of Russia showed an extremely low implementation of green technologies. The most unfavorable situation is registered in nine entities with either no companies developing the technologies or the technologies used. The manufacturing industries have become the leaders in the development and application of green technologies. A mutual cause-and-effect relationship was revealed between such indicators as volume of waste generated and amount of used green technologies for reducing harmful emissions, as well as amount of recycled waste and number of waste processing technologies used. Conclusions. There is a strong relationship between the volume of recycled waste and the number of green technologies used. It is advisable to include the application of quantitative indicators of the development of green technologies in the models for assessing the effectiveness of green innovations in industry. Further research in the field of the effectiveness of the implementation of principles of the green economy should include the study of the correlation between the formalization of the sustainable development strategy with the number of used technologies for reducing air pollution and the amount of carbon dioxide emissions by industrial enterprises.
Source: Economics and Management
Author: A. I. Sivkova
Institution: South Ural State University
Language: English
Subfield: Management of Technology and Innovation
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4407295625