Effective ESG Transformation of Russian Companies in the New Environment: Current Challenges and Priorities

Эффективная ESG‑трансформация российских компаний в новых условиях: актуальные проблемы и приоритеты
Liliya Babynina, L. V. Kartashova, Dmitriy Busalov, Karina A. Chernitsova, Felix K. Akhmedov
2023-11-05

ESG assessment methodologiesESG factor weightingESG rating methodology harmonizationESG transformationnon-financial information survey
This research aims to analyze the current problems of ESG transformation in Russia, focused on identifying priorities in solving the problems of sustainable development of Russian companies using ESG tools in the context of geopolitical changes. The authors illustrate the results of a comparative analysis of the ESG assessment methodologies of four Russian rating agencies and prove their methodological limitations regarding the use of subject areas, the comparability of specific ESG factors and their weights, analytical controversies, and categories of rating scales. The authors propose a new conceptual approach for the formation of a statistical base, which was tested during the research. The scientific novelty of this approach lies in the application of additional criteria in the analysis of non-financial information using quantitative and qualitative methods. This made it possible to structure the non-financial information obtained as a result of a survey among 118 Russian companies. The formulated questions of the questionnaire and the companies’ answers provide an opportunity to see the limitations and promising directions for the transformation of the company’s activities using the principles of sustainable development and ESG tools. The main research results include a created database, the users of which can determine the most significant ESG factors according to the following criteria: 1. industry affiliation; 2. legal form; 3. number of employees; 4. income; 5. availability of ESG policies and reporting; and receive an average response rating on a 10-point scale. As a result of a combination of answers, the ranking score of ESG blocks was determined in descending order of points: 8.0 points - S (Social); 7.8 points - G (Corporate Governance); 7.4 points - E (Environment). This research indicates promising directions for the development of a unified methodology for assigning ESG ratings for various rating agencies, including the differentiation of indicators and their weights for various industries. Received: 20 July 2023 / Accepted: 20 October 2023 / Published: 5 November 2023
1
A database was created allowing users to determine most significant ESG factors by industry, legal form, employee number, income, and ESG policy/reporting presence, with average responses on a 10-point scale.
2
A new conceptual approach for forming a statistical base was developed and tested, applying additional quantitative and qualitative criteria to analyze non-financial information.
3
Combined survey results rank ESG blocks descending: Social (S) 8.0, Corporate Governance (G) 7.8, Environment (E) 7.4, supporting need for unified, industry-differentiated ESG rating methodology and indicator weights.
4
Comparative analysis of four Russian ESG rating agencies reveals methodological limitations in subject areas, factor comparability, factor weights, analytical controversies, and rating scale categories.
5
Survey of 118 Russian companies structured non-financial data and identified limitations and promising directions for ESG-driven corporate transformation.

ESG transformation of Russian companies (including their non-financial information and ESG ratings)

Current problems, priorities and methodological limitations in applying ESG tools and rating methodologies (comparability of factors/weights, rating scales), and evaluation of ESG factor significance based on a survey and created statistical database

Publication Details
Publication Date
2023-11-05
Journal
Publisher
ISSN
Cited by
6
Access Type
Author Information
Authors
Liliya Babynina
L. V. Kartashova
Dmitriy Busalov
Karina A. Chernitsova
Felix K. Akhmedov
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat →
Make a presentation
100%