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Cost Recovery of Congested Infrastructure under Market Power

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  • Erik T. Verhoef

    (VU University Amsterdam)

Abstract

The famous Mohring-Harwitz theorem states that, under certain technical conditions, the degree of self-financing of congested infrastructure is equal to the elasticity of the capacity cost function in the optimum, so that under neutral scale economies exact self-financing applies. Although the theorem has been proven to remain valid for various extensions of the basic set-up for which it was originally derived, it breaks down when the infrastructure is used by operators with market power when competing in Cournot fashion, the case in point often being oligopolistic airlines at a congested airport. This paper proposes a regulatory scheme, not involving lump-sum payments or budget constraints in the optimal pricing problem, that restores self-financing for congested infrastructure for this market form. What is more, under the proposed scheme, exact self-financing applies independent of the elasticity of the capacity cost function. The result remains true both for the case where operators treat the tolls parametrically, and for 'manipulable' tolls, designed to account for the fact that operators with market power can be expected to be aware of, and exploit, the fact that toll are not truly parametric, but instead depend on their own behaviour.

Suggested Citation

  • Erik T. Verhoef, 2012. "Cost Recovery of Congested Infrastructure under Market Power," Tinbergen Institute Discussion Papers 12-064/3, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20120064
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    References listed on IDEAS

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    Cited by:

    1. Mun, Se-il, 2019. "Joint provision of transportation infrastructure," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.
    2. Lindsey, Robin & de Palma, André, 2014. "Cost recovery from congestion tolls with long-run uncertainty," Economics of Transportation, Elsevier, vol. 3(2), pages 119-132.
    3. Manuela Jr., Wilfred S. & Rhoades, Dawna L. & Curtis, Tamilla, 2019. "Market power at the Seattle-Tacoma International Airport: The case of Alaska Airlines," Transport Policy, Elsevier, vol. 76(C), pages 90-99.
    4. Se-il Mun, 2016. "Joint Provision of International Transport Infrastructure," Discussion papers e-15-015, Graduate School of Economics , Kyoto University.
    5. Verhoef, Erik T. & Silva, Hugo E., 2017. "Dynamic equilibrium at a congestible facility under market power," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 174-192.
    6. Zhang, Anming & Czerny, Achim I., 2012. "Airports and airlines economics and policy: An interpretive review of recent research," Economics of Transportation, Elsevier, vol. 1(1), pages 15-34.
    7. Kidokoro, Yukihiro & Zhang, Anming, 2018. "Airport congestion pricing and cost recovery with side business," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 222-236.

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    More about this item

    Keywords

    Congestion pricing; capacity choice; self-financing infrastructure; market power; airport congestion;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • D62 - Microeconomics - - Welfare Economics - - - Externalities

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