Capacity cost structure, welfare and cost recovery: Are transport infrastructures with high fixed costs a handicap?
In this paper, we consider a region that invests in infrastructure used by both local demand and through traffic. We then compare transport systems that have, for a given capacity, the same total infrastructure cost but vary in the proportion of fixed costs and variable capacity costs. We show that, compared to a benchmark infrastructure which has zero fixed costs, an infrastructure which has (ceteris paribus) a higher share of fixed costs leads to higher welfare for the regional government building it. Moreover, we find that, even for capacity characterized by very high shares of fixed costs, financing of infrastructure is generally not an important issue as long as regions are allowed to toll through traffic. Finally, we show that, compared to the benchmark technology without fixed costs, regions are more likely to make a particular transport investment if they can chose a technology with higher fixed costs. As a corollary, projects with a higher share of fixed costs do not necessarily require higher federal subsidies.
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Volume (Year): 43 (2009)
Issue (Month): 5 (June)
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- De Borger Bruno & Dunkerley Fay & Proost Stef, 2006.
"Strategic investment and pricing decisions in a congested transport corridor,"
Energy, Transport and Environment Working Papers Series
ete0602, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Energy, Transport and Environment.
- De Borger, B. & Dunkerley, F. & Proost, S., 2007. "Strategic investment and pricing decisions in a congested transport corridor," Journal of Urban Economics, Elsevier, vol. 62(2), pages 294-316, September.
- DE BORGER, Bruno & DUNKERLEY, Fay & PROOST, Stef, 2006. "Strategic investment and pricing decisions in a congested transport corridor," Working Papers 2006021, University of Antwerp, Faculty of Applied Economics.
- De Borger, B. & Proost, S. & Van Dender, K., 2005.
"Congestion and tax competition in a parallel network,"
European Economic Review,
Elsevier, vol. 49(8), pages 2013-2040, November.
- DE BORGER, Bruno & PROOST, Stef & VAN DENDER, Kurt, 2004. "Congestion and tax competition in a parallel network," CORE Discussion Papers 2004018, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- DE BORGER, Bruno & PROOST, Stef & VAN DENDER, K., . "Congestion and tax competition in a parallel network," Working Papers 2004003, University of Antwerp, Faculty of Applied Economics.
- Bruno De Borger & Stef Proost & Kurt Van Dender, 2003. "Congestion and tax competition in a parallel network," Energy, Transport and Environment Working Papers Series ete0309, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Energy, Transport and Environment.
- Richard J. Arnott & Ronald E. Grieson, 1978. "Optimal Fiscal Policy for State and Local Government," Working Papers 291, Queen's University, Department of Economics.
- Richard Arnott & Marvin Kraus, 1995. "Self-Financing of Congestible Facilities in a Growing Economy," Boston College Working Papers in Economics 304., Boston College Department of Economics.
- David Levinson, 2001.
"Why States Toll: An Empirical Model of Finance Choice,"
200102, University of Minnesota: Nexus Research Group.
- David Levinson, 2001. "Why States Toll: An Empirical Model of Finance Choice," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 35(2), pages 223-237, May.
- Zhang, Anming & Zhang, Yimin, 2003. "Airport charges and capacity expansion: effects of concessions and privatization," Journal of Urban Economics, Elsevier, vol. 53(1), pages 54-75, January.
- Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1993. "A Structural Model of Peak-Period Congestion: A Traffic Bottleneck with Elastic Demand," American Economic Review, American Economic Association, vol. 83(1), pages 161-79, March.
- de Palma, André & Lindsey, Robin, 2007. "Chapter 2 Transport user charges and cost recovery," Research in Transportation Economics, Elsevier, vol. 19(1), pages 29-57, January.
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