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Road pricing and agglomeration economies: a new methodology to estimate indirect effects applied to the Netherlands

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Abstract

A congestion charging scheme may be a good alternative for infrastructure investment to improve the allocation of road usage over different user groups, thereby enhancing economic welfare. However, a congestion charge also increases the costs of traveling, thereby possibly inducing agglomeration effects (Arnott in Congestion tolling with agglomeration externalities, paper presented at Conference in Honor of Kenneth A. Small, University of California, Irvine, 2007). Agglomeration effects in relation to infrastructure investment can be substantial (Venables in J Transp Econ policy, 2007) and they can be estimated using a spatial computable general equilibrium model (Bröcker in Ann Reg Sci 32, 367–387, 1998). Agglomeration effects of congestion charging are, however, difficult to assess using this approach because the government revenue from the congestion charge should be redistributed to the population. This redistribution of government revenue may be either agglomeration- or dispersion-augmenting and thereby change the agglomeration effects significantly. In this paper, we propose a methodology based on a spatial computable general equilibrium model to estimate the agglomeration effects of congestion charging with an agglomeration-neutral redistribution effect. In this manner, we do take the redistribution effect into account without letting it interfere with the effect of the congestion charge. This is important because we only want to evaluate the congestion charge, independent of the chosen redistribution scheme. In our application of the proposed methodology for the Netherlands, agglomeration benefits are found to be substantial and have, in general, the opposite sign as the relative cost change.

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Abbreviations

A i,s , α i,s and β i,r,s :

Cobb–Douglas scale and share in region i and sector s

\({\phi _{j,r}}\) :

Cobb–Douglas budget share in consumption in region i and sector r

\({\varphi_{ii}}\) and η :

Constant and sensitivity parameter for commuting

Lm i :

Housing stock indicator in region i

κ i :

Regional amenities factor

ζ i :

Spatial distribution of transport production

σ s :

Substitution elasticity in sector s

tr i, j, s :

Transport cost mark-up of a sector s good produced in i and consumed in j

tw i, j, s :

Shopping cost mark-up of a sector s good produced in i and consumed in j

tp i, j :

Commuting costs from region i to region j

y i, s :

Production in region i and sector s

l i, s :

Labor demand in region i and sector s

q i, s, r :

Intermediate demand for sector s goods in demanding region i and demanding sector r

w i, s :

Wage rate in region i and sector s

p i, r :

Producer price of sector r goods in region i

\({p_{j,r}^d }\) :

Dixit–Stiglitz sector r price index in region r

\({p_{i,j,r}^t }\) :

Price at destination j of a sector good r from region i

c j,r :

Consumption of sector goods r in region s

T I j :

Total income in region j

\({d_{i,j,r}^t }\) :

Trade in sector r goods from region i to region j

f i, j :

Commuting matrix from region i to region j

un i :

Unemployed in region i

v j :

Vacancies in region j

o i :

Labor supply in living region i

\({\bar{o}}\) :

Exogenous total labor supply

u :

Utility

\({u_j^c }\) :

Utility derived from consumption in region j

\({u_i^l }\) :

Utility derived from amenities (including housing price) in region i

T :

Total transport production and nominal demand

ben :

National unemployment benefit

t :

Income tax rate

References

  • Arnott R (2007) Congestion tolling with agglomeration externalities. Paper presented at Conference in Honor of Kenneth A. Small, University of California, Irvine

  • Baldwin R, Forslid R, Martin P, Ottaviano G, Robert-Nicoud F (2003) Economic geography and public policy. Princeton University Press, Princeton

    Google Scholar 

  • Bröcker J (1998) Operational spatial computable general equilibrium modeling. Ann Reg Sci 32: 367–387

    Article  Google Scholar 

  • Bröcker J (1999) Trans-European Effects of ‘Trans-European Networks’: A Spatial CGE Analysis, mimeo, Technische Universität Dresden

  • Dixit AK, Stiglitz JE (1977) Monopolistic competition and optimum product diversity. Am Econ Rev 67: 297–308

    Google Scholar 

  • Elhorst JP, Oosterhaven J (2008) Integral cost-benefit analysis of Maglev projects under market imperfections. J Transp Land Use 1(1): 65–87

    Google Scholar 

  • Ethier WJ (1982) National and international returns to scale in the modern theory of international trade. Am Econ Rev 72: 389–405

    Google Scholar 

  • Fujita M, Krugman P, Venables A (1999) The spatial economy: cities, regions and international trade. MIT Press, Cambridge

    Google Scholar 

  • Glaeser EL (2008) Cities, agglomeration and spatial equilibrium. Oxford University Press, Oxford

    Google Scholar 

  • Krugman P (1980) Scale economies, product differentiation, and the pattern of trade. Am Econ Rev 70: 950–959

    Google Scholar 

  • Krugman P (1991a) Increasing returns and geography. J Polit Econ 99: 483–499

    Article  Google Scholar 

  • Krugman P (1991b) Geography and trade. MIT Press, Cambridge

    Google Scholar 

  • Newbery DM (1990) Pricing and congestion: economic principles relevant to pricing roads. Oxford Rev Econ Policy 6(2): 22–38

    Article  Google Scholar 

  • Oosterhaven J, Knaap T, Ruijgrok C, Tavassy L (2001) On the development of RAEM: the Dutch spatial general equilibrium model and its first application to a new railway link. Paper presented to the 41st Congress of the European Regional Science Association

  • Pissarides CA (2000) Equilibrium unemployment theory. MIT Press, Cambridge

    Google Scholar 

  • Preston J, Holvad T (2005) Road transport and additional economic benefits: a modelling framework for the measurement of the additional benefits of road investment. Transport Studies Unit report, Oxford University, Oxford

  • Puga D (2002) European regional policies in light of recent location theories. J Econ Geogr 2: 373–406

    Article  Google Scholar 

  • Thissen MJPM (2004) The indirect economic effects of a terrorist attack on transport infrastructure: a proposal for a SAGE. Disaster Prev Manage 13(4)

  • Thissen MJPM (2005) RAEM: Regional Applied General Equilibrium Model for the Netherlands. In: van Oort F, Thissen M, van Wissen L (eds) A survey of spatial-economic planning models in the Netherlands. Theory, application and evaluation. NAi Uitgevers/RPB, Rotterdam/Den Haag, pp 63–86

  • Venables A (1996) Equilibrium locations of vertically linked industries. Int Econ Rev 37: 341–359

    Article  Google Scholar 

  • Venables AJ (2007) Evaluating urban transport improvements: cost-benefit analysis in the presence of agglomeration and income taxation. J Transp Econ Policy 41(20): 173–188

    Google Scholar 

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Thissen, M., Limtanakool, N. & Hilbers, H. Road pricing and agglomeration economies: a new methodology to estimate indirect effects applied to the Netherlands. Ann Reg Sci 47, 543–567 (2011). https://doi.org/10.1007/s00168-010-0394-4

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  • DOI: https://doi.org/10.1007/s00168-010-0394-4

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