Asymmetric Duopoly in Space - What Policies Work?

In this paper we study the problem of a city with access to two subcentres selling a differentiated product. The first subcentre has low free flow transport costs but is easily congested (near city centre, access by road). The second one has higher free flow transport costs but is less prone to congestion (ample public transport capacity, parking etc.). Both subcentres need to attract customers and employees by offering prices and wages that are sufficiently attractive to cover their fixed costs. In the absence of any government regulation, there will be an asymmetric duopoly game that can be solved for a Nash equilibrium in prices and wages offered by the two subcentres. This solution is typically characterised by excessive congestion for the nearby subcentre. We study the welfare effects of a number of stylised policies by setting up a general model and illustrating the model using competition between airports as an example. The first stylised policy is to extend the congested road to subcentre 1. This policy will not necessarily lead to less congestion as more customers will be attracted by the lower transport costs. The second policy option is to add congestion pricing (or parking pricing (etc.) for the congested subcentre. This will decrease its profit margin and attract more customers. The third policy is acceptable for politicians: providing a direct subsidy to the remote subcentre, reducing its marginal costs. This policy will again ease the congestion problem for the nearby subcentre but will do this in a very costly way.

[1]  Erik T. Verhoef,et al.  The Economics of Airport Congestion Pricing , 2003 .

[2]  K. V. Dender Duopoly prices under congested access , 2005 .

[3]  André de Palma,et al.  Congestion and Game in Capacity: a Duopoly Analysis in the Presence of Network Externalities , 1989 .

[4]  Stef Proost,et al.  Imperfect Competition and Congestion in the City , 2005 .

[5]  Peter Nijkamp,et al.  Access to and Competition Between Airports: A Case Study for the San Francisco Bay Area , 2003 .

[6]  Stef Proost,et al.  Trip Chaining: Who Wins Who Loses? , 2006 .

[7]  A. Palma,et al.  Research challenges in modelling urban road pricing: An overview , 2006 .

[8]  David Gillen,et al.  AVIATION INFRASTRUCTURE PERFORMANCE AND AIRLINE COST: A STATISTICAL COST ESTIMATION APPROACH , 1999 .

[9]  L. Lambertini Optimal Fiscal Regime in a Spatial Duopoly , 1997 .

[10]  R. Lindsey,et al.  Private toll roads: Competition under various ownership regimes , 2000 .

[11]  Piet Rietveld,et al.  Airline pricing behaviour in the London–Paris market , 2004 .

[12]  Anna Nagurney,et al.  On a Paradox of Traffic Planning , 2005, Transp. Sci..

[13]  André de Palma,et al.  Discrete Choice Theory of Product Differentiation , 1995 .

[14]  Emile Quinet,et al.  Principles Of Transport Economics , 2004 .

[15]  Stef Proost,et al.  Urban Transport Pricing Reform with Two Levels of Government: A Case Study of Brussels , 2006 .

[16]  Policy design and the optimal location of forests in Flanders , 2005 .

[17]  Chandra R. Bhat,et al.  A parameterized consideration set model for airport choice: an application to the San Francisco Bay Area , 2004 .

[18]  D. Kamerschen,et al.  Price-Cost Margins in the US Airline Industry using a Conjectural Variation Approach , 2003 .

[19]  Jan K. Brueckner,et al.  Airport Congestion When Carriers Have Market Power , 2002 .

[20]  A. Palma,et al.  A STRUCTURAL MODEL OF PEAK-PERIOD CONGESTION: A TRAFFIC BOTTLENECK WITH ELASTIC DEMAND. IN: RECENT DEVELOPMENTS IN TRANSPORT ECONOMICS , 1993 .

[21]  Jacques-François Thisse,et al.  Economics of Agglomeration: Cities, Industrial Location, and Regional Growth , 2002 .

[22]  J. Polak,et al.  MIXED LOGIT MODELLING OF AIRPORT CHOICE IN MULTI-AIRPORT REGIONS , 2005 .

[23]  A. Zhang,et al.  CONCESSION REVENUE AND OPTIMAL AIRPORT PRICING , 1997 .

[24]  S. Barrett How do the demands for airport services differ between full-service carriers and low-cost carriers? , 2004 .

[25]  Markus Franke,et al.  COMPETITION BETWEEN NETWORK CARRIERS AND LOW-COST CARRIERS - RETREAT BATTLE OR BREAKTHROUGH TO A NEW LEVEL OF EFFICIENCY? , 2004 .

[26]  G. Pepermans,et al.  The Potential Impact of Cross-Ownership in Transmission: An Application to the Belgian Electricity Market , 2005 .

[27]  Sandra Rousseau The use of warnings when intended and measured emissions differ , 2005 .