Technical Papers
Mar 23, 2016

A Fuzzy Approach for the Allocation of Risks in Public–Private Partnership Water-Infrastructure Projects in Developing Countries

Publication: Journal of Infrastructure Systems
Volume 22, Issue 3

Abstract

The allocation of risk between public-sector and private-sector parties in a public–private partnership (PPP) contract is a critical element of success that should be based on an assessment of the party best able to manage it. Assessing the risk-management capability of a contracting party to reach an efficient risk-allocation decision is subjective and implicit because it requires value judgments and experiential knowledge of expert practitioners. This paper draws on a set of established risk-allocation criteria (RAC) and the fuzzy-set approach to examine the allocation of five key risk factors related to PPPs in water supply infrastructure projects. The fuzzy set is used to deal with ambiguity in the linguistic RAC to minimize the fuzziness and bias in qualitative expert knowledge that characterize real-life decision-making. To explore how the risks should be allocated, three rounds of a Delphi questionnaire survey was conducted to elicit knowledge of practitioners with hands-on experience related to PPP projects in the water sector by requesting them to evaluate the risk factors on each risk-allocation criterion. The RAC and experiential knowledge were modeled to reflect capabilities of the public–private parties and to suggest the risk-allocation decisions for the corresponding risks. The results show that the risks should be shared between the government and the private sector, rather than wholly transferring specific risks to a particular party. This paper shows that it is possible to effectively distribute risks between the public–private parties based on fuzzy-set theory, RAC, and qualitative expert knowledge. The method has a merit of enabling decision-makers to utilize qualitative linguistic terms to assess risk-management capabilities of public–private parties and of predicting risk-allocation strategies in a contract. Also, the paper hints that, in developing countries, governments may take some political actions to make a water-infrastructure project to be executed via the PPP mode more attractive to private investors.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This paper reports on partial findings of a larger-scope (doctoral) research project entitled Risk allocation model for public-private partnership (PPP) water supply projects, fully funded by the International Postgraduate Scholarship from The Hong Kong Polytechnic University, from which other papers have been generated with similar or different objectives and share common research background and methodology, where some papers overlap. Tables 14 in this paper were taken from the doctoral thesis produced by the first author. The authors are grateful to the industry experts who kindly participated in the questionnaire survey for this research. They are also very grateful to the anonymous reviewers for their useful comments in focusing and improving the paper.

References

Abednego, M. P., and Ogunlana, S. O. (2006). “Good project governance for proper risk allocation in public-private partnerships in Indonesia.” Int. J. Project Manage., 24(7), 622–634.
Abrahamson, M. W. (1984). “Risk management.” Int. Constr. Law Rev., 1(3), 241–264.
Ameyaw, E. E. (2014). “Risk allocation model for public-private partnership water supply projects in Ghana.” Ph.D. thesis, Hong Kong Polytechnic Univ., Hong Kong.
Ameyaw, E. E., and Chan, A. P. C. (2013). “Identifying public-private partnership (PPP) risks in managing water supply projects in Ghana.” J. Facil. Manage., 11(2), 152–182.
Ameyaw, E. E., and Chan, A. P. C. (2015a). “Evaluating key risk factors for PPP water projects in Ghana: A Delphi study.” J. Facil. Manage., 13(2), 133–155.
Ameyaw, E. E., and Chan, A. P. C. (2015b). “Evaluation and ranking of risk factors in public-private partnership water supply projects in developing countries using fuzzy synthetic evaluation approach.” Expert Syst. Appl., 42(12), 5102–5116.
Barnes, M. (1983). “How to allocate risk in construction contracts.” Int. J. Project Manage., 1(1), 24–28.
Bayliss, K. (2003). “Utility privatisation in Sub-Saharan Africa: A case study of water.” J. Modern Afri. Stud., 41(4), 507–531.
Beato, P., and Vives, A. (1996). Private sector participation in infrastructure: Risk, fiscal, and efficiency issues in public-private arrangements for the provision of services, Social Programs and Sustainable Development Dept., Inter-American Development Bank, Washington, DC.
Boussabaine, A. H., and Elhag, T. (1999). “Applying fuzzy techniques to cash flow analysis.” Constr. Manage. Econ., 17(6), 745–755.
Casarin, A. A., Delfino, J. A., and Delfino, M. E. (2007). “Failures in water reform: Lessons from the Buenos Aires’s concession.” Util. Policy, 15(4), 234–247.
Casey, J. J. (1979). “Identification and nature of risks in construction projects: A contractor’s perspective.” Proc., Conf. of Construction Risk and Liability Sharing, ASCE, Reston, VA, 17–24.
Chan, A. P. C., and Ameyaw, E. E. (2013). “The private sector’s involvement in the water industry of Ghana.” J. Eng. Des. Technol., 11(3), 251–275.
Chan, C. T. W. (2007). “Fuzzy procurement selection model for construction projects.” Constr. Manage. Econ., 25(6), 611–618.
Chang, C.-Y. (2012). “A critical review of the application of TCE in the interpretation of risk allocation in PPP contracts.” Constr. Manage. Econ., 31(2), 1–5.
Chen, S. Y. (1998). Engineering fuzzy set theory and application, State Security Industry Press, Beijing.
Chung, D., Hensher, D. A., and Rose, J. M. (2010). “Toward the betterment of risk allocation: Investigating risk perceptions of Australian stakeholder groups to public- private partnership tollroad projects.” Res. Trans. Econ., 30(1), 43–58.
Dahiya, S., Singh, B., Gaur, S., Garg, V. K., and Kushwaha, H. S. (2007). “Analysis of groundwater quality using fuzzy synthetic evaluation.” J. Hazard. Mater., 147(3), 938–946.
Delmon, J. (2009). Private sector investment in infrastructure—Project finance, PPP projects and risk, Kluwer Law International and World Bank, Alphen aan den Rijn, Netherlands.
Engel, E. (2010). Public-private partnerships: When and how, ICIED, Toulouse, France.
Faulkner, K. (2004). “Public–private partnerships.” Public–private partnerships: Policy and experience, A. Ghobadian, D. Gallear, N. O’Regan, and H. Viney, eds., Palgrave Macmillan, New York, 65–70.
Foster, V., and Briceño-Garmendia, C., eds. (2010). Africa’s infrastructure: A time for transformation, World Bank, Washington, DC.
Gao, Y. L., and Jiang, L. (2008). “The risk allocation method based on fuzzy integrated evaluation of construction projects.” Proc., Int. Conf. on Risk Management and Engineering Management, IEEE, Piscataway, NJ, 428–432.
Gray, P., and Irwin, T. (2003). Exchange rate risk: Allocating exchange rate risk in private infrastructure projects, World Bank, Washington, DC.
Guasch, L. J., and Straub, S. (2009). “Corruption and concession renegotiations: Evidence from water and transport sectors in Latin America.” Util. Policy, 17(2), 185–190.
GWCL (Ghana Water Company Ltd.). (2012). “Investment requirement for the urban water sector.” 〈http://www.gwcl.com.gh/pgs/investment.php〉 (Oct. 20, 2013).
Haarmeyer, D., and Moody, A. (1998). “Tapping the private sector: Approaches to managing risk in water and sanitation.” J. Project Finance, 4(2), 7–23.
Hall, D., and Lobina, E. (2009). “Water privatisation.” Critical essays on the privatisation experience, A. Arestis and M. Sawyer, eds., Palgrave Macmillan, England, 57–120.
Harris, C. (2003). Private participation in infrastructure in developing countries: Trends, impacts, and policy lessons, World Bank, Washington, DC.
Harris, C., Hodges, J., Schur, M., and Shukla, P. (2003). “Infrastructure projects: A review of canceled private projects.” World Bank, Washington, DC.
HM Treasury. (2006). Value for money assessment guidance, HMSO, London.
Hsiao, S.-W. (1998). “Fuzzy logic based decision model for product design.” Int. J. Ind. Ergon., 21(2), 103–116.
Ibrahim, A. D., Price, A. D. F. and Dainty, A. R. J. (2006). “The analysis and allocation of risks in public-private partnership infrastructure projects in Nigeria.” J. Financial Manage. Prop. Constr., 11(3), 149–164.
Jin, X.-H. (2010). “Determinants of efficient risk allocation in privately financed public infrastructure projects in Australia.” J. Constr. Eng. Manage., 138–150.
Jin, X.-H. (2011). “Model for efficient risk allocation in privately financed public infrastructure projects using neuro-fuzzy techniques.” J. Constr. Eng. Manage., 1003–1014.
Jin, X.-H., and Doloi, H. (2008). “Interpreting risk allocation mechanism in public–private partnership projects: An empirical study in a transaction cost economics perspective.” Constr. Manage. Econ., 26(7), 707–721.
Jin, X.-H., and Zhang, G. (2011). “Modelling optimal risk allocation in PPP projects using neural networks.” Int. J. Project Manage., 29(5), 591–603.
Ke, Y., Wang, S., and Chan, A. P. C. (2010a). “Risk allocation in public-private partnership infrastructure projects: Comparative study.” J. Infrastruct. Syst., 343–351.
Ke, Y. J., Wang, S. Q., Chan, A. P. C., and Lam, P. T. I. (2010b). “Preferred risk allocation in China’s public-private partnership (PPP) projects.” Int. J. Project Manage., 28(5), 482–492.
Khatri, K. B., Vairavamoorthy, K., and Akinyemi, E. (2011). “Framework for computing a performance index for urban infrastructure systems using a fuzzy set approach.” J. Infrastruct. Syst., 163–175.
Kuo, Y.-F., and Chen, P.-C. (2006). “Selection of mobile value-added services for system operators using fuzzy synthetic evaluation.” Expert Syst. Appl., 30(4), 612–620.
Lam, K. C., Wang, D., Lee, P. T. K., and Tsang, Y. T. (2007). “Modelling risk allocation decision in construction contracts.” Int. J. Project Manage., 25(5), 485–493.
Lascio, L. D., Gisolfi, A., Albunia, A., Galardi, G., and Moschi, F. (2002). “A fuzzy-based methodology for the analysis of diabetic neuropathy.” Fuzzy Sets Syst., 129(2), 203–228.
Lee, H.-M. (1996). “Applying fuzzy set theory to evaluate the rate of aggregative risk in software development.” Fuzzy Sets Syst., 79(2), 191–201.
Li, B., Akintoye, A., Edwards, P., and Hardcastle, C. (2005). “The allocation of risk in PPP/PFI construction projects in the UK.” Int. J. Project Manage., 23(1), 25–35.
Li, J., and Zou, P. (2011). “Fuzzy AHP-based risk assessment methodology for PPP projects.” J. Constr. Eng. Manage., 1205–1209.
Liu, J., Li, Q., and Wang, Y. (2013). “Risk analysis in ultra deep scientific drilling project—A fuzzy synthetic evaluation approach.” Int. J. Project Manage., 31(3), 449–458.
Lo, S. M. (1999). “A fire safety assessment system for existing buildings.” Fire Technol., 35(2), 131–152.
Loosemore, M., and McCarthy, C. S. (2008). “Perceptions of contractual risk allocation in construction supply chains.” J. Prof. Issues Eng. Educ. Pract., 95–105.
Loosemore, M., Raftery, J., Reilly, C., and Higgon, D. (2005). Risk management in projects, 2nd Ed., Spon Press, London.
Lu, R. S., and Lo, S. L. (2002). “Diagnosing reservoir water quality using self-organizing maps and fuzzy theory.” Water Res., 36(9), 2265–2274.
Marcus-Roberts, H. M., and Roberts, F. S. (1987). “Meaningless statistics.” J. Educ. Stat., 12(4), 383–394.
Marques, R. C., and Berg, S. (2011). “Risks, contracts, and public-sector participation in infrastructure.” J. Constr. Eng. Manage., 925–932.
Matsukawa, T., Sheppard, R., and Wright, J. (2003). “Foreign exchange risk mitigation for power and water projects in developing countries.” World Bank, Washington, DC.
Medda, F. (2007). “A game theory approach for the allocation of risks in transport public private partnerships.” Int. J. Project Manage., 25(3), 213–218.
Murphy, M. E., Perera, S., and Heaney, G. (2015). “Innovation management model: A tool for sustained implementation of product innovation into construction projects.” Constr. Manage. Econ., 33(3), 209–232.
OECD (Organisation for Economic Co-Operation and Development) (2012). “Meeting the water reform challenge.” OECD studies on water, Paris, France.
Onkal-Engin, G., Demir, I., and Hiz, H. (2001). “Assessment of urban air quality in Istanbul using fuzzy synthetic evaluation.” Atmos. Environ., 38(23), 3089–3815.
Oudot, J. M. (2005). “Risk-allocation: Theoretical and empirical evidences, application to public-private partnerships in the defence sector.” Proc., 9th Annual Conf. of the Institutions of Market Exchange, Barcelona, Spain.
Özdogan, I. D., and Birgönül, M. T. (2000). “A decision support framework for project sponsors in the planning stage of build-operate-transfer (BOT) projects.” Constr. Manage. Econ., 18(3), 343–353.
Rebeiz, K. S. (2012). “Public-private partnership risk factors in emerging countries: BOOT illustrative project.” J. Manage. Eng., 421–428.
Rivera, D. (1996). Private sector participation in the water supply and wastewater sector: Lessons from six developing countries, World Bank, Washington, DC.
Roumboutsos, A., and Anagnostopoulos, K. P. (2008). “Public-private partnership projects in Greece: Risk ranking and preferred risk allocation.” Constr. Manage. Econ., 26(7), 751–763.
Rouse, M. (2014). “The worldwide urban water and wastewater infrastructure challenge.” Int. J. Water Resour. Dev., 30(1), 20–27.
Sadiq, R., and Rodriguez, M. J. (2004). “Fuzzy synthetic evaluation of disinfection by- products—A risk-based indexing system.” J. Environ. Manage., 73(1), 1–13.
Schmidt, R. C. (1997). “Managing Delphi surveys using nonparametric statistical techniques.” Decis. Sci., 28(3), 763–774.
Schmidt, R. C., Lyytinen, K., Keil, M., and Cule, P. (2001). “Identifying software project risks: An international Delphi survey.” J. Inf. Manage. Syst., 17(4), 5–36.
Shendy, R., Kaplan, Z., and Mousley, P. (2011). Towards better infrastructure: Conditions, constraints, and opportunities in financing public-private partnerships—Evidence from Cameroon, Cote d’Ivoire, Ghana, Kenya, Nigeria, and Senegal, World Bank, Washington, DC.
Singh, D., and Tiong, R. L. K. (2005). “A fuzzy decision framework for contractor selection.” J. Constr. Eng. Manage., 62–70.
Thobani, M. (1999). “Private infrastructure, public risk.” Finance Dev., 36(1), 50–53.
Thomas, A. V., Kalidindi, S. N., and Ananthanaraynan, K. (2003). “Risk perception analysis of the BOT road project participants in India.” Constr. Manage. Econ., 21(4), 393–407.
Vives, A., Paris, A. M., Benavides, J., Raymond, P. D., Quiroga, D., and Marcus, J. (2006). “Financial structuring of infrastructure projects in public-private partnerships: An application to water projects.” Inter-American Development Bank, Washington, DC.
Walewski, J., and Gibson, G. (2003). “International project risk assessment: Methods, procedures, and critical factors.”, Center for Construction Industry Studies, Univ. of Texas, Austin, TX.
Wei, B., Wang, S.-L., and Li, L. (2010). “Fuzzy comprehensive evaluation of district heating systems.” Energy Policy, 38(10), 5947–5955.
Wibowo, A., and Mohamed, S. (2010). “Risk critically and allocation in privatized water supply projects in Indonesia.” Int. J. Project Manage., 28(5), 504–513.
World Bank. (2006). Approaches to private participation in water services: A toolkit, Washington, DC.
World Bank. (2015). Private participation in infrastructure: Water and sewerage, Washington, DC.
Xu, Y., Chan, A., and Yeung, J. (2010). “Developing a fuzzy risk allocation model for PPP projects in China.” Constr. Eng. Manage., 894–903.
Yescombe, E. R. (2007). Public-private partnerships principles of policy and finance, Butterworth-Heinemann, London.
Yeung, J. F. Y., Xu, Y., Chan, A. P. C., Chan, D. W. M., Wang, S. Q. and Ke, Y. (2010). “Developing a risk assessment model for PPP projects in China—A fuzzy synthetic evaluation approach.” Auto. Constr., 19(7), 929–943.
Zadeh, L. A. (1965). “Fuzzy sets.” Inf. Control, 8(3), 338–353.

Information & Authors

Information

Published In

Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 22Issue 3September 2016

History

Received: May 28, 2014
Accepted: Dec 7, 2015
Published online: Mar 23, 2016
Discussion open until: Aug 23, 2016
Published in print: Sep 1, 2016

Permissions

Request permissions for this article.

Authors

Affiliations

Ernest Effah Ameyaw, Ph.D. [email protected]
Postdoctoral Research Fellow, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., 181 Chatham Rd., Hung Hom, Hong Kong (corresponding author). E-mail: [email protected]
Albert P. C. Chan, Ph.D. [email protected]
Chair Professor and Head of Department, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., 181 Chatham Rd., Hung Hom, Hong Kong. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share