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A Comment on 'Subsidisation of Urban Public Transport and the Mohring Effect'

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  • Ian Savage
  • Kenneth A. Small

Abstract

Van Reeven (2008) argues that the Mohring effect is not relevant to the determination of transit subsidies because a profit-maximising monopolist would supply frequencies that are the same as, or greater than, those that are socially optimal. We find that his results depend on the reduction or elimination of the effect of fares on demand, causing optimal prices to be indeterminate within broad ranges. Consequently, his model is an unsatisfactory tool for discussing subsidies in general, and the optimal combination of fare and frequency in particular. © 2010 LSE and the University of Bath

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  • Ian Savage & Kenneth A. Small, 2010. "A Comment on 'Subsidisation of Urban Public Transport and the Mohring Effect'," Journal of Transport Economics and Policy, University of Bath, vol. 44(3), pages 373-380, September.
    • Handle: RePEc:tpe:jtecpo:v:44:y:2010:i:3:p:373-380
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    Citations

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    Cited by:

    1. Rojo, Marta & dell’Olio, Luigi & Gonzalo-Orden, Hernán & Ibeas, Ángel, 2015. "Inclusion of quality criteria in public bus service contracts in metropolitan areas," Transport Policy, Elsevier, vol. 42(C), pages 52-63.
    2. Sun, Yanshuo & Guo, Qianwen & Schonfeld, Paul & Li, Zhongfei, 2016. "Implications of the cost of public funds in public transit subsidization and regulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 236-250.
    3. Ljungberg, Anders, 2016. "Marginal cost-pricing in the Swedish transport sector – An efficient and sustainable way of funding local and regional public transport in the future?," Research in Transportation Economics, Elsevier, vol. 59(C), pages 159-166.
    4. Andrés Gómez-Lobo, 2011. "Monopoly, subsidies and the Mohring effect: A synthesis and an extension," Working Papers wp336, University of Chile, Department of Economics.
    5. Chen Yan & Qiong Tong, 2021. "Analysis of the Evolutionary Game between the Government and Urban Rail Transit Enterprises under the Loss-Subsidy Mode: A Case Study of Beijing," Sustainability, MDPI, vol. 13(14), pages 1-21, July.
    6. Moccia, Luigi & Giallombardo, Giovanni & Laporte, Gilbert, 2017. "Models for technology choice in a transit corridor with elastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 733-756.
    7. Zhang, Fangni & Yang, Hai & Liu, Wei, 2014. "The Downs–Thomson Paradox with responsive transit service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 244-263.
    8. Zhang, Junlin & Lindsey, Robin & Yang, Hai, 2018. "Public transit service frequency and fares with heterogeneous users under monopoly and alternative regulatory policies," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 190-208.
    9. Savage, Ian, 2010. "The dynamics of fare and frequency choice in urban transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 815-829, December.

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