The Impact of R&D on the Financial Performance of Russian Oil and Gas Companies
Abstract
This study presents a comprehensive analysis of the impact of the intensity of research and development (R&D) costs on the financial performance of Russian oil and gas companies, including in the context of external sanctions pressure. To conduct an empirical analysis, a data panel was created covering 112 companies in the industry for the period from 2017 to 2023. For the econometric assessment, an improved two-step model based on the CDM approach (Crépon – Duguet – Mairesse) [1] is used, which allows solving the problem of endogeneity. At the first stage, the key determinants of the intensity of R&D costs, including return on assets, company size, and debt burden, are determined using a fixed-effect panel regression. At the second stage, the R&D intensity values predicted at the first step are used as an independent variable in the quantile regression model. This method allows us to analyze the impact of investments in innovation on the gross margin of companies with different levels of profitability (different distribution quantiles) and with time lags from 1 to 3 years. The results obtained demonstrate that an increase in the intensity of R&D costs has a statistically significant and positive impact on the financial performance of oil and gas companies within a year after investment, especially for firms with medium and high profitability. However, this effect does not persist in the medium term (with lags of 2 and 3 years). Such a rapid but short-term financial return indicates that until recently, R&D funds have been mainly used to purchase and implement ready-made imported technological solutions, rather than to create companies’ own breakthrough technologies. In addition, it was discovered that the inclusion of a company in the list of sanctioned entities is statistically significant and has a positive effect on its financial performance in the short term in certain groups in terms of profitability. The article makes up for the lack of empirical research on the financial impact of R&D in the domestic economy and highlights the vulnerability of the current innovation model of the sector.
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References
Crépon B., Duguet E., Mairessec J. Research, innovation and productivity: an econometric analysis at the firm level. Economics of Innovation and new Technology. 1998;7(2):115-158. https://doi.org/10.1080/10438599800000031
Kuzyk M.G., Simachev Yu.V., Fedyunina A.A., et al. Digitalization of Companies as a Factor of their Adaptation to COVID and Sanctions Shocks. Russian Management Journal = Rossiiskii zhurnal menedzhmenta. 2023;21(4):481-513. (In Russ.) https://doi.org/10.21638/spbu18.2023.402
Fedyunina A. A., Simachev Yu. V. (2023). Resilience of Russian Firms in Value Chains to The Sanction Shock. Journal of the New Economic Association = Zhurnal Novoi ehkonomicheskoi assotsiatsii. 2023;3(60):180-187. (In Russ.) https://doi.org/10.31737/22212264_2023_3_180-187
Vithessonthi C., Racela O. Short- and long-run effects of internationalization and R&D intensity on firm performance. Journal of Multinational Financial Management. 2016;34:28-45. https://doi.org/10.1016/j.mulfin.2015.12.001
Leung T.Y., Sharma P. Differences in the impact of R&D intensity and R&D internationalization on firm performance–Mediating role of innovation performance. Journal of Business Research. 2021;131:81–91. https://doi.org/10.1016/j.jbusres.2021.03.060
Zhdaneev O.V. Technological sovereignty of the Russian Federation fuel and energy complex. Journal of Mining Institute = Zapiski Gornogo instituta. 2022;258:1061-1078. (In Russ.) https://doi.org/10.31897/PMI.2022.107
Brown J.R., Martinsson G. Does transparency stifle or facilitate innovation? Management Science. 2018;65(4):1600-1623. https://doi.org/10.1287/mnsc.2017.3002
Yang M.L., Wang A M.L., Cheng K.C. The impact of quality of IS information and budget slack on innovation performance. Technovation. 2009;29(8):527–536. https://doi.org/10.1016/j.technovation.2009.01.004
Jung S., Kwak G. Firm Characteristics, Uncertainty and Research and Development (R&D) Investment: The Role of Size and Innovation Capacity. Sustainability. 2018;10(5):1668. https://doi.org/10.3390/su10051668
Bromiley P., Rau D., Zhang Y. Is R&D risky? Strategic Management Journal. 2017;38(4):876-891. https://doi.org/10.1002/smj.2520
Khan M., Bin M., Wang C., et al. Impact of R&D on firm performance: Do ownership structure and product market competition matter? Sage Open. 2023;13(4). https://doi.org/10.1177/21582440231199560
Bayraktaroglu A.E., Calisir F., Baskak M. Intellectual capital and firm performance: an extended VAIC model. Journal of Intellectual Capital. 2019;20(3):406–425. https://doi.org/10.1108/JIC-12-2017-0184
Dimitropoulos P.E. R&D investments and profitability during the crisis: Evidence from Greece. R&D Management. 2020;50(5):587-598. https://doi.org/10.1111/radm.12424
Roper S., Turner J. R&D and innovation after COVID-19: What can we expect? A review of prior research and data trends after the great financial crisis. International Small Business Journal: Researching Entrepreneurship. 2020;38(6):504–514. https://doi.org/10.1177/0266242620947946
Tsoligkas F., Tsalavoutas I. Value relevance of R&D in the UK after IFRS mandatory implementation. Applied Financial Economics. 2011;21(13):957-967. https://doi.org/10.1080/09603107.2011.556588
Liu C., Guo X., Wang Z. R&D expenses and operating performance in pharmaceutical industry. Journal of Social Science Studies. 2019;2(1):214-219. https://doi.org/10.35532/jsss.v2.039
Reguera-Alvarado N., Fuentes P.D., Laffarga J. Does Board Gender Diversity Influence Financial Performance? Evidence from Spain. Journal of Business Ethics. 2015;141:337–350. https://doi.org/10.1007/s10551-015-2735-9
Trump C., Guenther T.W. Too little or too much? Exploring U‐shaped relationships between corporate environmental performance and corporate financial performance. Business Strategy and the Environment. 2017;26(1):49-68. https://doi.org/10.1002/bse.1900
Hou K., Hsu P., Wang S., et al. Corporate R&D and Stock Returns: International Evidence. Journal of Financial and Quantitative Analysis. 2022;57(4):1377–1408. https://doi.org/10.1017/S002210902100020X
Falk M. Quantile estimates of the impact of R&D intensity on firm performance. Small Business Economics. 2012;39(1):19-37. https://doi.org/10.1007/s11187-010-9290-7
Diéguez-Soto J., Manzaneque M., González-García V., et al. A study of the moderating influence of R&D intensity on the family management-firm performance relationship: Evidence from Spanish private manufacturing firms. BRQ Business Research Quarterly. 2019;22(2):105-118. https://doi.org/10.1016/j.brq.2018.08.007
Jefferson G., Bai H., Guan X., et al. R&D Performance in Chinese Industry. Economics of Innovation and New Technology. 2006;15(4-5):345–366. https://doi.org/10.1080/10438590500512851
Lee K.-H., Min B.S. Green R&D for eco-innovation and its impact on carbon emissions and firm performance. Journal of Cleaner Production. 2015;108(Part A):534–542. https://doi.org/10.1016/j.jclepro.2015.05.114
Tyagi S., Nauriyal D., Gulati R. Firm level R&D intensity: Evidence from Indian drugs and pharmaceutical industry. Review of Managerial Science. 2018;12(1):167-202. https://doi.org/10.1007/s11846-016-0218-8
Odagiri H. R&D Expenditures, Royalty Payments, and Sales Growth in Japanese Manufacturing Corporations. Journal of Industrial Economics. 1983;32(1):61–71. https://doi.org/10.2307/2097986
Cunéo P., Mairesse J. Productivity and R&D at the firm level in French manufacturing. In: Griliches Z. , ed. R&D, Patents, and Productivity. R&D, Patents, and Productivity. University of Chicago Press; 2019. (Accessed on 19.06.20025). URL: https://www.nber.org/books-and-chapters/rd-patents-and-productivity
Griliches Z., Mairesse J. Productivity and R&D at the firm level. In: Griliches Z., ed. R&D, Patents, and Productivity. University of Chicago Press; 1984. (Accessed on 19.06.20025). URL: http://www.nber.org/chapters/c10058
Sassenou M. Recherche-Développement et Productivité dans les Entreprises Japonaises: une Étude Économétrique sur Données de Panel. Paris, France; 1988.
Ortega-Argilés R., Piva M., Potters L., et al. Is corporate R&D investment in high-tech sectors more effective? Contemporary Economic Policy. 2010;28(3):353–365. https://doi.org/10.1111/j.1465-7287.2009.00186.x
Doraszelski U., Jaumandreu J. R&D and productivity: Estimating production functions when productivity is endogenous. Review of Economic Studies. 2013;80(4):1338-1383. https://doi.org/10.1093/restud/rdt026
Raymond W., Mairesse J., Mohnen P., et al. Dynamic models of R & D, innovation and productivity: Panel data evidence for Dutch and French manufacturing. European Economic Review. 2015;78:285-306. https://doi.org/10.1016/j.euroecorev.2015.06.002
Fedyunina A., Radosevic S. The relationship between R&D, innovation and productivity in emerging economies: CDM model and alternatives. Economic Systems. 2015;46(3):100998. https://doi.org/10.1016/j.ecosys.2022.100998
Müller E., Zimmermann V. The importance of equity finance for R&D activity. Small Business Economics. 2009;33:303-318. https://doi.org/10.1007/S11187-008-9098-X
Eldawayaty D.M.A. The Impact of research and development (R&D) intensity on financial performance and firm value: An Empirical study on pharmaceutical companies listed on Egyptian stock exchange. Alexandria Journal of Accounting Research. 2020;4(3):1-55. https://doi.org/10.21608/aljalexu.2020.123668
Suh P. Intellectual Property Rights and Debt Financing. The Review of Financial Studies. 2022;36(5):1970-2003. https://doi.org/10.1093/rfs/hhac067
Srivastava V. Project Finance for Green Renewable Energy Assets: Does It Solve the Higher Cost of Capital Conundrum? The Journal of Structured Finance. 2023;28(4):59-69. https://doi.org/10.3905/jsf.2022.1.148
Kim S., Choi B. Price risk management and capital structure of oil and gas project companies: Difference between upstream and downstream industries. Energy Economics. 2019;83:361-374. https://doi.org/10.1016/j.eneco.2019.07.008
David P., O’Brien J., Yoshikawa T. The Implications of Debt Heterogeneity for R&D Investment and Firm Performance. Academy of Management Journal. 2018;51(1):165-181. https://doi.org/10.5465/AMJ.2008.30772877
Clews R. Project Finance for the International Petroleum Industry. Academic Press; 2016. https://doi.org/10.1016/c2013-0-13683-5
Chițimiea A., Minciu M., Manta A., et al. The Drivers of Green Investment: A Bibliometric and Systematic Review. Sustainability. 2021;13(6):3507. https://doi.org/10.3390/SU13063507
Baumann J., Kritikos A. The Link between R&D, Innovation and Productivity: Are Micro Firms Different? Research Policy. 2016;45(6):1263-1274. https://doi.org/10.1016/j.respol.2016.03.008
Menéndez-Sánchez J., Fernández-Gómez J., Araujo-De-La-Mata A. Sustainability Strategies by Oil and Gas Companies, Contribution to the SDGs and Local Innovation Ecosystems. Energies.2023;16(6):2552. https://doi.org/10.3390/en16062552
Yang K., Chiao Y., Kuo C. The Relationship Between R&D Investment and Firm Profitability Under a Three-Stage Sigmoid Curve Model: Evidence From an Emerging Economy. IEEE Transactions on Engineering Management, 2010;57(1):103-117. https://doi.org/10.1109/TEM.2009.2023452
Muhammad H., Migliori S., Mohsni S. Corporate governance and R&D investment: the role of debt financing. Industrial and Corporate Change. 2022;33(3):628–653. https://doi.org/10.1093/icc/dtab056
Koenker R. Quantile Regression. Cambridge University Press; 2005. https://doi.org/10.1017/CBO9780511754098
Chernozhukov V., Hansen C. An IV model of quantile treatment effects. Econometrica, 2005;73(1):245-261. https://doi.org/10.1111/j.1468-0262.2005.00570.x
Abadie A., Angrist J., Imbens G. Instrumental variables estimates of the effect of subsidized training on the quantiles of trainee earnings. Econometrica, 2002;70(1):91-117. https://doi.org/10.1111/1468-0262.00270
Gokhberg L.M., Kutsenko E.S Ostashchenko T.V., et al. Opportunities and Constraints for Use of Corporate Financial Statements for Implementation of the National Technological Policy. 2023. (In Russ.) (Accessed on 12.11.2024). URL: https://issek.hse.ru/mirror/pubs/share/834451272
White H. A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica: journal of the Econometric Society. 1980:48(4):817-838. https://doi.org/10.2307/1912934
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