Preview

Finance: Theory and Practice

Advanced search

Comparison of the Efficiency of Overcoming the Crisis of Russian and Foreign Oil and Gas Companies

https://doi.org/10.26794/2587-5671-2023-27-4-142-152

Abstract

The purpose of the study was to evaluate the performance of large domestic and foreign oil and gas companies based on a factor analysis of the return on equity in the context of financial and economic crises. The relevance of the topic is due, on the one hand, to the leading role of the oil and gas industry in the Russian economy, and, on the other hand, to the need develop modern tools for the assessment and prediction of the performance of companies and comparison of the results of economic activity with those of foreign competitors. The object of the study was the financial performance of the largest domestic and foreign vertically integrated oil and gas companies. The subject of the study is the methods of deterministic factor analysis for assessing indicators in the oil and gas sector. The paper analyzes the main empirical indicators that reflect the degree of efficiency, justifies the choice of the profitability indicator of own assets as the main indicator for research in the oil and gas industry, analyzes approaches to assessing the contribution of various factors to the final efficiency. Methods of classification, decomposition, statistical, comparative and factor analysis were used. A five-factor DuPont decomposition of the return on equity was carried out, and the key factors affecting the efficiency of companies were identified: tax burden coefficient, percentage burden coefficient, return on sales, asset turnover ratio, financial leverage ratio. Using the LMDI‑1 model, the impact of changes in economic factors on changes in the efficiency of companies in 2013–2017 and 2018–2021 was assessed. It was concluded that domestic companies, on average, slightly outperformed foreign ones in terms of the considered efficiency indicator and coped better with the consequences of financial and economic crises in the periods under review. At the same time, domestic companies have a higher value of the tax burden coefficient with lower values of assets turnover and financial leverage.

About the Authors

I. V. Filimonova
Institute of Economics and Industrial Engineering, Siberian Branch of the Russian Academy of Sciences; Novosibirsk National Research State University
Russian Federation

Irina V. Filimonova — Dr. Sci. (Econ.), Prof., Senior Researcher; head of the chair of the political economy

Novosibirsk


Competing Interests:

The authors have no conflicts of interest to declare



A. V. Komarova
Institute of Economics and Industrial Engineering, Siberian Branch of the Russian Academy of Sciences; Novosibirsk National Research State University
Russian Federation

Anna V. Komarova — Candidate of Economic Sciences (Econ.), Senior Researcher; associate professor of the chair of political economy

Novosibirsk


Competing Interests:

The authors have no conflicts of interest to declare



A. A. Angarov
Novosibirsk National Research State University
Russian Federation

Artem A. Angarov — master’s student

Novosibirsk


Competing Interests:

The authors have no conflicts of interest to declare



A. Yu. Novikov
Novosibirsk National Research State University
Russian Federation

Aleksandr Yu. Novikov — master’s student

Novosibirsk


Competing Interests:

The authors have no conflicts of interest to declare



References

1. Maiski R.A., Faнrushin E.V., Sagdeev A.A., Khaertdinov D.F. Oil and gas complex influence on the Russian economy. Vestnik UGNTU. Nauka, obrazovanie, ekonomika. Seriya: Ekonomika = Bulletin USPTU. Science, Education, Economy. Series: Economy. 2018;(1):82–88. (In Russ.).

2. Smirnova N. V., Rudenko G. V. Tendencies, problems and prospects of innovative technologies implementation by Russian oil companies. Journal of Industrial Pollution Control. 2017;33(1):937–943. URL: https://www.icontrolpollution.com/articles/tendencies-problems-and-prospects-of-innovativetechnologiesimplementation-by-russian-oil-companies-.pdf

3. Burykina N.M., Burykin A.D. Methodology for assessing the effectiveness of the organization. Sovremennye tendentsii razvitiya nauki i tekhnologii. 2017;(3–13):26–28. (In Russ.).

4. Anoshkina E.S., Markovskaya E.I. Empirical analysis of capital structure determinants of Russian oil and gas companies. Ekonomicheskaya politika = Economic Policy. 2018;13(5):80–109. (In Russ.). DOI: 10.18288/1994–5124–2018–5–80–109

5. Popova S.N. Economic content and principles of resource efficiency. Vektory blagopoluchiya: ekonomika i sotsium = Journal of Wellbeing Technologies. 2012;(5):173–177. (In Russ.).

6. Sundqvist E., Backlund F., Chronéer D. What is project efficiency and effectiveness? Procedia — Social and Behavioral Sciences. 2014;119:278–287. DOI: 10.1016/j.sbspro.2014.03.032

7. Zidane Y.J.-T., Olsson N.O.E. Defining project efficiency, effectiveness and efficacy. International Journal of Managing Projects in Business. 2017;10(3):621–641. DOI: 10.1108/IJMPB‑10–2016–0085

8. Adamenko A.A., Khorolskaya T.E., Ananikov T. Sh. Application of a system of performance indicators for an economic entity according to financial statements. Vestnik Akademii znanii = Bulletin of the Academy of Knowledge. 2018;(29):10–14. (In Russ.).

9. Stavitskaya O. S. KPI — key performance indicators, their types and its practical application. Problemy sovremennoi nauki i obrazovaniya = Problems of Modern Science and Education. 2018;(7):45–51. (In Russ.).

10. Narkunienė J., Ulbinaitė A. Comparative analysis of company performance evaluation methods. Entrepreneurship and Sustainability Issues. 2018;6(1):125–138. DOI: 10.9770/jesi.2018.6.1(10)

11. Kowal B. Key performance indicators in a multi-dimensional performance card in the energy sector. IOP Conference Series: Earth and Environmental Science. 2019;214:012093. DOI: 10.1088/1755–1315/214/1/012093

12. Filimonova I.V., Eder L.V., Nemov V. Yu., Mishenin M.V. An integrated economic analysis of the oil and gas companies of Russia. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice. 2019;18(5):925–943. (In Russ.). DOI: 10.24891/ea.18.5.925

13. Filimonova I.V., Komarova A.V., Provornaya I.V., Dzyuba Y.A., Link A.E. Efficiency of oil companies in Russia in the context of energy and sustainable development. Energy Reports. 2020;6(Suppl.6):498–504. DOI: 10.1016/j.egyr.2020.09.027

14. Foo V., Jamal A.A.A., Karim M.R.A., Ulum Z.K.A.B. Capital structure and corporate performance: Panel evidence from oil and gas companies in Malaysia. International Journal of Business Management and Economic Research. 2015;6(6):371–379. URL: http://www.ijbmer.com/docs/volumes/vol6issue6/ijbmer2015060606.pdf

15. Weidman S.M., McFarland D.J., Meric G., Meric I. Determinants of return-on-equity in USA, German and

16. Japanese manufacturing firms. Managerial Finance. 2019;45(3):445–451. DOI: 10.1108/MF‑07–2018–

17.

18. Weidman S.M., McFarland D.J., Meric G., Meric I. Determinants of return-on-equity in USA, German and Japanese manufacturing firms. Managerial Finance. 2019;45(3):445–451. DOI: 10.1108/MF‑07–2018–0305

19. Pointer L.V., Khoi P.D. Predictors of return on assets and return on equity for banking and insurance companies on Vietnam stock exchange. Entrepreneurial Business and Economics Review. 2019;7(4):185–198. DOI: 10.15678/EBER.2019.070411

20. Sigarev A.V. Efficiency of public investments: Essence, assessment methodology, problems. Ekonomika i predprinimatel’stvo = Journal of Economy and Entrepreneurship. 2020;(5):543–546. (In Russ.). DOI: 10.34925/EIP.2020.118.5.110

21. Nenu E.A., Vintilă G., Gherghina Ş.C. The impact of capital structure on risk and firm performance: Empirical evidence for the Bucharest Stock Exchange listed companies. International Journal of Financial Studies. 2018;6(2):41. DOI: 10.3390/ijfs6020041

22. Filimonova I.V., Komarova A.V., Mishenin M.V. Impact of the global green factor on the capitalization of oil companies in Russia. Oeconomia Copernicana. 2020;11(2):309–324. DOI: 10.24136/oc.2020.013

23. Kim H.-S. A study of financial performance using DuPont analysis in food distribution market. Culinary Science & Hospitality Research. 2016;22(6):52–60. DOI: 10.20878/cshr.2016.22.6.005

24. Bunea O.-I., Corbos R.-A., Popescu R.-I. Influence of some financial indicators on return on equity ratio in the Romanian energy sector — A competitive approach using a DuPont-based analysis. Energy. 2019;189:116251. DOI: 10.1016/j.energy.2019.116251

25. Doorasamy M. Using DuPont analysis to assess the financial performance of the top 3 JSE listed companies in the food industry. Investment Management and Financial Innovations. 2016;13(2):29–44. DOI: 10.21511/ imfi.13(2).2016.04

26. Sergeev V.P. Logarithmic method of analysis of absolute increments of productive phenomena. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice. 2006;(9):17–22. (In Russ.).

27. Hasan M. M., Chongbo W. Estimating energy-related CO2 emission growth in Bangladesh: The LMDI decomposition method approach. Energy Strategy Reviews. 2020;32:100565. DOI: 10.1016/j.esr.2020.100565

28. Ang B.W. LMDI decomposition approach: A guide for implementation. Energy Policy. 2015;86:233–238. DOI: 10.1016/j.enpol.2015.07.007

29. Xiang X., Ma X., Ma Z., Ma M., Cai W. Python-LMDI: A tool for index decomposition analysis of building carbon emissions. Buildings. 2022;12(1):83. DOI: 10.3390/buildings12010083

30. Shcherbak Yu., Tarutina A. Methodological basis of the analysis of the profitability of the financial and economic activity of the enterprise. Vestnik molodezhnoi nauki. 2018;(5):1. (In Russ.).


Review

For citations:


Filimonova I.V., Komarova A.V., Angarov A.A., Novikov A.Yu. Comparison of the Efficiency of Overcoming the Crisis of Russian and Foreign Oil and Gas Companies. Finance: Theory and Practice. 2023;27(4):142-152. https://doi.org/10.26794/2587-5671-2023-27-4-142-152

Views: 455


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2587-5671 (Print)
ISSN 2587-7089 (Online)