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The Problem of Determining Discount Rate for Integrated Investment Projects in the Oil and Gas Industry

Author

Listed:
  • Alexey Komzolov

    (Department of Security of Digital Economy and Risk Management, National University of Oil and Gas «Gubkin University», 65 Leninsky Prospekt, 119991 Moscow, Russia
    These authors contributed equally to this work.)

  • Tatiana Kirichenko

    (Department of Security of Digital Economy and Risk Management, National University of Oil and Gas «Gubkin University», 65 Leninsky Prospekt, 119991 Moscow, Russia
    These authors contributed equally to this work.)

  • Olga Kirichenko

    (The Department of Sectoral Markets, Financial University under the Government of the Russian Federation, 49/2 Leningradsky Prospekt, 125167 Moscow, Russia
    These authors contributed equally to this work.)

  • Yulia Nazarova

    (Department of Security of Digital Economy and Risk Management, National University of Oil and Gas «Gubkin University», 65 Leninsky Prospekt, 119991 Moscow, Russia
    These authors contributed equally to this work.)

  • Natalya Shcherbakova

    (Faculty of Economics, Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, 117198 Moscow, Russia
    These authors contributed equally to this work.)

Abstract

The main aim of this paper was to examine specific approaches to determining the discount rate for comprehensive computation of investment projects efficiency in the oil and gas industry. The objective of the study was to develop a scientific approach for determining the discount rate for integrated oil and gas projects. The authors analyze dynamic methods for determining the efficiency of investment projects in the oil and gas industry and conclude that they are advisable for oil and gas projects due to the high capital intensity of the projects and their long payback period. Regarding the need to implement dynamic indicators of efficiency, the authors set the task of deter-mining the proper discount rate as a factor having a significant impact on effectiveness evaluation. The discount rate is proposed to be evaluated by solving the equation and finding the break-even point where the NPV (net present value) of the integrated project will be equal to 0 (taking into account the revenue of the subprojects included in the complex). The practical implementation of methodological approaches to assessing the discount rate for integrated projects is relevant due to the execution of large, systemically important and integrated projects. As a result of the study, the authors put forward a methodological algorithm for determining the discount rate of an integrated project which assumes an assessment of cash flows for the subprojects included in the complex; determination of the target rate of return for subprojects; and calculation of prices for products at which a complex project become break-even. The practical implementation of methodological approaches to assessing the discount rate for integrated projects is relevant due to the execution of large systemically important integrated projects.

Suggested Citation

  • Alexey Komzolov & Tatiana Kirichenko & Olga Kirichenko & Yulia Nazarova & Natalya Shcherbakova, 2021. "The Problem of Determining Discount Rate for Integrated Investment Projects in the Oil and Gas Industry," Mathematics, MDPI, vol. 9(24), pages 1-13, December.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:24:p:3327-:d:707076
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    References listed on IDEAS

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    1. Benoît Gailly, 2011. "Developing Innovative organizations," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-29528-5, October.
    2. Kenneth J. Arrow & Maureen L. Cropper & Christian Gollier & Ben Groom & Geoffrey M. Heal & Richard G. Newell & William D. Nordhaus & Robert S. Pindyck & William A. Pizer & Paul R. Portney & Thomas Ste, 2014. "Editor's Choice Should Governments Use a Declining Discount Rate in Project Analysis?," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 8(2), pages 145-163.
    3. Jagannathan, Ravi & Matsa, David A. & Meier, Iwan & Tarhan, Vefa, 2016. "Why do firms use high discount rates?," Journal of Financial Economics, Elsevier, vol. 120(3), pages 445-463.
    4. Chai, Daniel & Chiah, Mardy & Zhong, Angel, 2019. "Choosing factors: Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
    5. Sterner, Thomas & Tol, Richard S. J. & Weitzman, Martin L. & Pizer, William A. & Portney, Paul R. & Arrow, Kenneth J. & Cropper, Maureen L. & Gollier, Christian & Groom, Ben & Heal, Geoffrey M. & Newe, 2014. "Should Governments Use a Declining Discount Rate in Project Analysis?," Scholarly Articles 33373349, Harvard University Department of Economics.
    6. Arrow, K. & Cropper, M. & Gollier, C. & Groom, B. & Heal, G. & Newell, R. & Nordhaus, W. & Pindyck, R. & Pizer, W. & Portney, P. & Sterner, T. & Tol, R. S. J. & Weitzman, Martin L., 2013. "Determining Benefits and Costs for Future Generations," Scholarly Articles 12841963, Harvard University Department of Economics.
    7. Lloyd-Smith, Patrick & Adamowicz, Wiktor & Entem, Alicia & Fenichel, Eli P. & Rouhi Rad, Mani, 2021. "The decade after tomorrow: Estimation of discount rates from realistic temporal decisions over long time horizons," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 158-174.
    8. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
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