TECHNICAL PAPERS
Jun 1, 2005

Financial Viability Analysis and Capital Structure Optimization in Privatized Public Infrastructure Projects

Publication: Journal of Construction Engineering and Management
Volume 131, Issue 6

Abstract

Numerous public infrastructure projects have been privatized worldwide, where responsibilities, risks, and rewards are substantially reallocated between pubic and private sectors. The financial evaluation of a privatized infrastructure project is complex and challenging because of the risks and uncertainties due to the large size, long contract duration, nonrecourse financing, multiple project participants with different motives and interest, and the complexity of the contractual arrangements. Improved financial engineering techniques are required to overcome the limitations of traditional financial analysis techniques in addressing risks and uncertainties. This paper develops a methodology for capital structure optimization and financial viability analysis that reflects the characteristics of project financing, incorporates simulation and financial engineering techniques, and aims for win–win results for both public and private sectors. This quantitative methodology defines the capital structure of a privatized project in four dimensions, examines different project participants’ perspectives of the capital structure, optimizes the capital structure, and evaluates the project’s financial viability when it is under construction risk, bankruptcy risk and various economic risks (that are dealt with as stochastic variables), and is subject to other constraints imposed by different project participants. This methodology also evaluates the impact of governmental guarantees and supports, and addresses the issue of the equity holders’ commitment to project success by initiating the concepts of equity at project risks, value of governmental loan guarantee, and project bankrupt probability during construction. A framework and a solution algorithm are provided for this proposed methodology. These research outputs will significantly facilitate both public and private sector in evaluating a privatized project’s financial viability and collectively determining an optimal capital structure that safeguards their respective interests.

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References

Abdul-Aziz, A. R. (2001). “Unraveling of BOT scheme: Malaysia’s Indah Water Konsortium.” J. Constr. Eng. Manage., 127(6), 457–460.
AbouRizk, S. M., and Halpin, D. W. (1990). “Probabilistic simulation studies for repetitive construction processes.” J. Constr. Eng. Manage., 116(4), 575–594.
A guide to the project management body of knowledge (2000). Project Management Institute, Newton Square, Pa.
Ahuja, H. N., Dozzi, S. P., and Abourizk, S. M. (1994). Project management: techniques in planning and controlling construction projects, J Wiley, New York.
Bakatjan, S., Arikan, M., and Tiong, R. L. K. (2003). “Optimal capital structure model for BOT power projects in Turkey.” J. Constr. Eng. Manage., 129(1), 89–97.
Benoit, P. (1996). “Project finance at the World Bank: an overview of policies and instruments.” World Bank Technical Paper Number 312, The World Bank, Washington, D. C.
Binder, K., and Heermann., D. W. (2002). Monte Carlo simulation in statistical physics: An introduction, Springer, New York.
Birge, J. R., and Zhang, R. Q. (1999). “Risk-neutral option pricing methods for adjusting constrained cash flows.” Eng. Econom., 44(1), 36–49.
Blackwell, M. (2000). The PFI/PPP and property, Chandos Publishing Ltd., Oxford, England.
Chakravarti, I. M., Laha, R. G., and Roy, J. (1967). Handbook of methods of applied statistics, Vol. I, J Wiley, New York.
Chang, L. M., and Chen, P. H. (2001). “BOT financial model: Taiwan high speed rail case.” J. Constr. Eng. Manage., 127(3), 214–222.
Culp, C. L. (2002). The art of risk management: Alternative risk transfer, capital structure, and the convergence of insurance and capital markets, J Wiley, New York.
Curran, M. W. (1989). “Range estimating—Measuring uncertainty and reasoning with risk.” Cost Eng., 31(3), 18–26.
Dias, A., Jr., and Ioannou, P. G. (1995). “Debt capacity and optimal capital structure for privately financed infrastructure projects.” J. Constr. Eng. Manage., 121(4), 404–414.
Finnerty, J. D. (1996) Project financing: Asset-based financial engineering, Wiley, New York.
Ho, S. P., and Liu, L. Y. (2002). “An option pricing-based model for evaluating the financial viability of privatized infrastructure projects.” Constr. Manage. Econom., 20, 143–156.
Kelton, W. D., Sadowski, R. P., and Sturrock, D. T. (2004). Simulation with arena, McGraw–Hill, New York.
Koh, B. S., Wang, S. Q., and Tiong, L. K. R. (1999). “Qualitative development of debt/equity model for BOT infrastructure projects.” Proc., International Conf. on Construction Process Re-engineering, CPR-99, Sydney, Australia, 501–512.
Mariano, R., Schuermann, T., and Weeks, M. J. (2000). Simulation-based inference in econometrics: Methods and applications, Cambridge Univ. Press, New York.
Merna, T., and Dubey R. (1998). Financial engineering in the procurement of projects, Asia Law & Practice, Hong Kong.
Miller, J. B. (1999). “Applying multiple project procurement methods to a portfolio of infrastructure projects.” Procurement systems: A guide to best practice in construction, E & FN Spon, London.
Miller, J. B., Garvin, M. J., Ibbs, C. W., and Mahoney, S. E. (2000). “Toward a new paradigm: simultaneous use of multiple project delivery methods.” J. Manage. Eng., 16(3), 58–67.
Newnan, D. G., Eschenbach, T. G., and Lavelle, J. P. (2004). Engineering economic analysis, Oxford Univ. Press, New York.
Ogunlana, S. O. (1997). “Build operate transfer procurement traps: examples from transportation projects in Thailand.” Proc., CIB W92 Symp. on Procurement, IF Research Corporation, Montreal, 585–594.
Palaneeswaran, E., Kumaraswamy, M. M., and Zhang, X. Q. (2001). “Reforging construction supply chains: a source selection perspective.” Eur. J. Purchasing Supply Management, 7(3), 165–178.
Project finance in developing countries (1999). International Finance Corporation, Washington, D. C.
Ranasinghe, M. (1996). “Total project cost: A simplified model for decision makers.” Constr. Manage. Econom., 14, 497–505.
Rees, D. G. (2001). Essential statistics. Chapman & Hall, Boca Raton, Fla.
Steiner, H. M. (1996). Engineering economic principles, McGraw–Hill, New York.
Taylor, H. M., and Karlin, S. (1998). An introduction to stochastic modeling, Academic, New York.
White, J. A., Agee, M. H., and Case, K. E. (1989). Principles of engineering economic analysis, 3rd Ed., Wiley, New York.
Wiest, J. D., and Levy, F. K. (1977). A management guide to PERT/CPM: with GERT/ PDM/ DCPM and other networks, Prentice–Hall, Englewood Cliffs, N.J.
Ye, S. D., and Tiong, R. L. K. (2000). “NPV-at-risk method in infrastructure project investment evaluation.” J. Constr. Eng. Manage., 126(3), 227–233.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 131Issue 6June 2005
Pages: 656 - 668

History

Received: Nov 20, 2003
Accepted: Sep 2, 2004
Published online: Jun 1, 2005
Published in print: Jun 2005

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Xueqing Zhang, M.ASCE
Dept. of Civil and Environmental Engineering, Univ. of Alberta, 3-133 Markin/CNRL Natural Resources Engineering Facility, Edmonton AB, Canada T6G 2W2; formerly, Professional Engineer, Yellow River Conservancy Committee, The Ministry of Water Resources of China, 11 Jinshui Rd., Zhengzhou 45003, China.

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