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A dynamic principal-agent framework for modeling the performance of infrastructure

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  • Páez-Pérez, David
  • Sánchez-Silva, Mauricio

Abstract

This paper presents a novel approach to the problem of infrastructure development by integrating technical, economic and operational aspects, as well as the interactions between the entities who jointly carry out the project. The problem is defined within the context of a Public Private Partnership (PPP), where a public entity delegates the design, construction and maintenance of an infrastructure system to a private entity. Despite the benefits of this procurement method, the relationship between the two entities is inherently conflictive. Three main factors give rise to such conflict: the goals of the public and private party do not coincide, there is information asymmetry between them and their interaction unfolds in environments under uncertainty. The theory of contracts refers to this problem as a principal-agent problem; however, due to the complexity of the problem, it is necessary to recreate a dynamic interaction between the principal (i.e., the public entity) and the agent (i.e., the private entity) while including the monitoring of the infrastructure performance as an essential part of the interaction. The complex relationship between the sequential actions of players and the time-dependent behavior of a physical system is explored using a hybrid agent-based simulation model. The model is illustrated with several examples that show the versatility of the approach and its ability to accommodate the different decision strategies of the players (i.e., principal, agent) and the model of a physical infrastructure system.

Suggested Citation

  • Páez-Pérez, David & Sánchez-Silva, Mauricio, 2016. "A dynamic principal-agent framework for modeling the performance of infrastructure," European Journal of Operational Research, Elsevier, vol. 254(2), pages 576-594.
  • Handle: RePEc:eee:ejores:v:254:y:2016:i:2:p:576-594
    DOI: 10.1016/j.ejor.2016.03.027
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    References listed on IDEAS

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    1. Hoppe, Eva I. & Kusterer, David J. & Schmitz, Patrick W., 2013. "Public–private partnerships versus traditional procurement: An experimental investigation," Journal of Economic Behavior & Organization, Elsevier, vol. 89(C), pages 145-166.
    2. R.J. Aumann & S. Hart (ed.), 2002. "Handbook of Game Theory with Economic Applications," Handbook of Game Theory with Economic Applications, Elsevier, edition 1, volume 3, number 3.
    3. Matteo Richiardi & Roberto Leombruni & Nicole J. Saam & Michele Sonnessa, 2006. "A Common Protocol for Agent-Based Social Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(1), pages 1-15.
    4. Gary J. Miller, 2008. "Solutions to Principal-Agent Problems in Firms," Springer Books, in: Claude Ménard & Mary M. Shirley (ed.), Handbook of New Institutional Economics, chapter 14, pages 349-370, Springer.
    5. Daniel Rothenstein & Shmuel Zamir, 2002. "Imperfect Inspection Games Over Time," Annals of Operations Research, Springer, vol. 109(1), pages 175-192, January.
    6. Cecchini, Mark & Ecker, Joseph & Kupferschmid, Michael & Leitch, Robert, 2013. "Solving nonlinear principal-agent problems using bilevel programming," European Journal of Operational Research, Elsevier, vol. 230(2), pages 364-373.
    7. Eva I. Hoppe & Patrick W. Schmitz, 2013. "Public-private partnerships versus traditional procurement: Innovation incentives and information gathering," RAND Journal of Economics, RAND Corporation, vol. 44(1), pages 56-74, March.
    8. Auriol, Emmanuelle & Picard, Pierre M., 2013. "A theory of BOT concession contracts," Journal of Economic Behavior & Organization, Elsevier, vol. 89(C), pages 187-209.
    9. Emile Quinet & David Meunier, 2010. "Tips and Pitfalls in PPP design," Post-Print halshs-00754415, HAL.
    10. Meunier, David & Quinet, Emile, 2010. "Tips and Pitfalls in PPP design," Research in Transportation Economics, Elsevier, vol. 30(1), pages 126-138.
    11. Yuliy Sannikov, 2008. "A Continuous-Time Version of the Principal-Agent Problem," Review of Economic Studies, Oxford University Press, vol. 75(3), pages 957-984.
    12. Erica L. Plambeck & Stefanos A. Zenios, 2000. "Performance-Based Incentives in a Dynamic Principal-Agent Model," Manufacturing & Service Operations Management, INFORMS, vol. 2(3), pages 240-263, April.
    13. Benoît Colson & Patrice Marcotte & Gilles Savard, 2007. "An overview of bilevel optimization," Annals of Operations Research, Springer, vol. 153(1), pages 235-256, September.
    14. Emile Quinet & David Meunier, 2010. "Tips and Pitfalls in PPP design," PSE-Ecole d'économie de Paris (Postprint) halshs-00754415, HAL.
    15. Avenhaus, Rudolf & Von Stengel, Bernhard & Zamir, Shmuel, 2002. "Inspection games," Handbook of Game Theory with Economic Applications, in: R.J. Aumann & S. Hart (ed.), Handbook of Game Theory with Economic Applications, edition 1, volume 3, chapter 51, pages 1947-1987, Elsevier.
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    Cited by:

    1. Lozano, Jorge-Mario & Zuluaga, Santiago & Sánchez-Silva, Mauricio, 2020. "Developing flexible management strategies in infrastructure: The sequential expansion problem for infrastructure analysis (SEPIA)," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
    2. Luo, Qi & Yin, Yunlei & Chen, Pengyu & Zhan, Zhenfei & Saigal, Romesh, 2022. "Dynamic subsidies for synergistic development of charging infrastructure and electric vehicle adoption," Transport Policy, Elsevier, vol. 129(C), pages 117-136.

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