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The Efficacy of the Tolling Model’s Ability to Improve Project Profitability on International Steel Plants

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  • Dong-Hyun Kim

    (Kukdo Chemical Company, Gasan digital 2-ro, Geumcheon-gu, Seoul 08558, Korea
    Graduate Institute of Ferrous Technology (GIFT), Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Nam-Ku, Pohang 37673, Korea)

  • Eul-Bum Lee

    (Graduate Institute of Ferrous Technology (GIFT), Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Nam-Ku, Pohang 37673, Korea
    Department of Industrial and Management Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Nam-Ku, Pohang 37673, Korea)

  • In-Hyeo Jung

    (Graduate Institute of Ferrous Technology (GIFT), Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Nam-Ku, Pohang 37673, Korea)

  • Douglas Alleman

    (Construction Engineering and Management, Department of Civil, Environmental and Architectural Engineering, University of Colorado, Boulder, CO 80309, USA)

Abstract

To overcome profitability deterioration in executing steel price projects, companies are seeking overseas expansion, which increases market size while reducing profit certainty. Special purpose companies (SPCs) have been found to better manage these risks through tolling agreements which transfer the local pricing volatility risks (raw material, steel sales, licensing and income tax) to the project sponsor. The energy market has benefited from policy changes allowing the use of the tolling model, finding an increase in profitability for both project sponsors and SPCs through more effective risk sharing. While successes have been published in the energy, gas, and highway sectors, the tolling model’s efficacy has yet to be tested on the steel sector. As such, this research adds to the existing body of knowledge by testing the financial feasibility of using the tolling model on three million ton/year capacity steel projects. The data analyzed has been collected from “Company A”, a company with 50 years of domestic and 20 years international steel-iron plant project execution and operation experience. An economic analysis is performed on the best, most likely, and worst-case cost/revenue scenarios of a virtual project (which represents the average of all Company A projects) and two Company A projects under construction/operation. The findings support the use of the tolling model in volatile markets, showing a net present value (NPV) profitability increase of up to $940 versus the traditional project company model under worst case market conditions. However, the traditional project company model was found to be superior in best case market conditions. With these findings, international steel companies are able to consider alternative financing structures when executing projects in volatile markets, potentially resulting in greater project sponsor and SPC profit.

Suggested Citation

  • Dong-Hyun Kim & Eul-Bum Lee & In-Hyeo Jung & Douglas Alleman, 2019. "The Efficacy of the Tolling Model’s Ability to Improve Project Profitability on International Steel Plants," Energies, MDPI, vol. 12(7), pages 1-18, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1221-:d:218259
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    References listed on IDEAS

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    1. Min-Sung Kim & Eul-Bum Lee & In-Hye Jung & Douglas Alleman, 2018. "Risk Assessment and Mitigation Model for Overseas Steel-Plant Project Investment with Analytic Hierarchy Process—Fuzzy Inference System," Sustainability, MDPI, vol. 10(12), pages 1-17, December.
    2. Szeto, W.Y. & Lo, Hong K., 2008. "Time-dependent transport network improvement and tolling strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 376-391, February.
    3. Deng, S.J. & Oren, S.S., 2006. "Electricity derivatives and risk management," Energy, Elsevier, vol. 31(6), pages 940-953.
    4. De Borger, B. & Dunkerley, F. & Proost, S., 2007. "Strategic investment and pricing decisions in a congested transport corridor," Journal of Urban Economics, Elsevier, vol. 62(2), pages 294-316, September.
    5. Chi-Keung Woo, Ira Horowitz, Brian Horii, Ren Orans, and Jay Zarnikau, 2012. "Blowing in the Wind: Vanishing Payoffs of a Tolling Agreement for Natural-gas-fired Generation of Electricity in Texas," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    6. Yonggu Kim & Keeyoung Shin & Joseph Ahn & Eul-Bum Lee, 2017. "Probabilistic Cash Flow-Based Optimal Investment Timing Using Two-Color Rainbow Options Valuation for Economic Sustainability Appraisement," Sustainability, MDPI, vol. 9(10), pages 1-16, October.
    7. Wiser, Ryan & Bachrach, Devra & Bolinger, Mark & Golove, William, 2004. "Comparing the risk profiles of renewable and natural gas-fired electricity contracts," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(4), pages 335-363, August.
    8. Woo, Chi-Keung & Olson, Arne & Orans, Ren, 2004. "Benchmarking the Price Reasonableness of an Electricity Tolling Agreement," The Electricity Journal, Elsevier, vol. 17(5), pages 65-75, June.
    9. Jae-Il Yoo & Eul-Bum Lee & Jin-Woo Choi, 2018. "Balancing Project Financing and Mezzanine Project Financing with Option Value to Mitigate Sponsor’s Risks for Overseas Investment Projects," Sustainability, MDPI, vol. 10(5), pages 1-21, May.
    10. Rouhani, Omid M. & Oliver Gao, H. & Richard Geddes, R., 2015. "Policy lessons for regulating public–private partnership tolling schemes in urban environments," Transport Policy, Elsevier, vol. 41(C), pages 68-79.
    11. Demi Chung & David A. Hensher, 2015. "Modelling Risk Perceptions of Stakeholders in Public–Private Partnership Toll Road Contracts," Abacus, Accounting Foundation, University of Sydney, vol. 51(3), pages 437-483, September.
    12. Yonggu Kim & Eul-Bum Lee, 2018. "A Probabilistic Alternative Approach to Optimal Project Profitability Based on the Value-at-Risk," Sustainability, MDPI, vol. 10(3), pages 1-24, March.
    13. Harris, Milton & Raviv, Artur, 1991. "The Theory of Capital Structure," Journal of Finance, American Finance Association, vol. 46(1), pages 297-355, March.
    14. Rouwendal, Jan & Verhoef, Erik T., 2006. "Basic economic principles of road pricing: From theory to applications," Transport Policy, Elsevier, vol. 13(2), pages 106-114, March.
    15. Shi-Jie Deng & Zhendong Xia, 2006. "A Real Options Approach For Pricing Electricity Tolling Agreements," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 421-436.
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