Spatial Incidence of Economic Benefit of Road-Network Investments: Case Studies under the Usual and Disaster Scenarios
Publication: Journal of Infrastructure Systems
Volume 18, Issue 4
Abstract
Road networks can be considered local public goods. Hence, if they are to be efficient social choices from an economic perspective, their spatial benefit incidence should be equal to their cost burden in each region. An analysis of benefit incidence should consider not only a usual scenario but also a disaster scenario because the redundancy effect is expected to reduce the amount of economic damage incurred during a disaster. The authors’ research group has developed a spatial computable general equilibrium model (RAEM-Light) that can be applied to small spatial regions. The RAEM-Light model was used to analyze the benefit incidence in the development and maintenance stages of proposed road networks under a usual and a disaster scenario. The spatial incidence of the economic effect of road investment differs between the usual and the disaster scenarios for both the development and maintenance stages. As Japan becomes more decentralized, it will become more important to determine the optimum allocation of the road-network cost burden among local governments, taking into account differences in the spatial benefit incidence at each stage and in each scenario. However, to minimize the economic losses incurred by a disaster such as the Tohoku earthquake (March 11, 2011), more centralized decision making may be necessary, although this is not efficient social choice from an economic perspective.
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Acknowledgments
The authors are grateful to Mr. Nobuhide Kawamoto and Mr. Daisuke Yoshino (FUKKEN), who assisted us with the necessary data and reference collection for this study.
References
Abraham, J. E., and Hunt, J. D. (2003). “Design and Application of the PECAS Land Use Modeling System.”, Institute of Transportation Studies, Univ. of California, Davis, CA.
Anderson, S. P., de Palma, A., and Thisse, J.-F. (1988). “The CES and the logit: Two related models of heterogeneity.” Reg. Sci. Urban Econ., 18(1), 155–164.
Bröcker, J. (1998). “Operational spatial computable general equilibrium models.” Ann. Reg. Sci., 32(3), 367–387.
Cabinet Office. (2005). “Statistics of National Account 2005.” Government of Japan, Tokyo.
Caspersen, S., Eriksen, L., and Marott Larsen, M. (2000). The BROBISSE model—a spatial general equilibrium model to evaluate the Great Belt link in Denmark, AFK, Institute of Local Government Studies, Copenhagen, Denmark.
Christian, G., Monfort, A., and Vuong, Q. (1995). Statistics and econometric models, Cambridge University Press, Cambridge, UK.
Erlander, S., and Stewart, N. F. (1990). The gravity model in transportation analysis: Theory and extensions, VSP, Utrecht, Netherlands.
Gasiorek, M., Smith, A., and Venables, A. J. (2002). “The accession of the UK to the EC: A welfare analysis.” J. Common Market Stud., 40(3), 425–447.
Hussain, I., and Westin, L. (1997). “Network benefits from transport investments under increasing returns to scale: A SCGE analysis.” Umeå Economic Studies, Centre for Regional Science (CERUM), Umeå, Sweden.
Ivanova, O., Vold, A., and Jean-Hansen, V. (2002). “PINGO: A model for prediction of regional and interregional freight transport.”, Institute of Transport Economics, Oslo, Norway.
Knaap, T., and Oosterhaven, J. (2000). “The welfare effects of new infrastructure: An economic geography approach to evaluating a new Dutch railway link.” Paper presented to the North American Regional Science Association International Meetings, Chicago.
Knaap, T., and Oosterhaven, J. (2003). “Spatial economic impacts of transport infrastructure investments.” Transport projects, programmes and policies: Evaluation needs and capabilities, Pearman, A., Mackie, P., and Nellthorp, J., eds., Ashgate, Aldershot, UK, 87–105.
Koike, A., Tavasszy, L., and Sato, K. (2008). “Spatial benefit incidence analysis of highway network projects.” Uddevalla Symposium 2008, Bernhard, I., ed., Univ. West, Sweden, 457–470.
Lakshmanan, T. R., and Anderson, W. P. (2002). “Transportation infrastructure, freight services sector and economic growth.” A white paper prepared for the U.S. Dept. of Transportation Federal Highway Administration, Center for Transportation Studies, Boston Univ.
Löfgren, H., and Robinson, S. (1999). “Spatial networks in multi-region computable general equilibrium models.”, International Food Policy Research Institute, Washington, DC.
Ministry of Internal Affairs and Communications. (2005). “National census.” Government of Japan, Tokyo.
Ministry of Land, Infrastructure, Transport and Tourism. (2005). “Traffic Census 2005.” Government of Japan, Tokyo.
Ministry of Land, Infrastructure, Transport, Tourism. (2011). “About the future direction of road project evaluation considering the earthquake.” 〈http://www.mlit.go.jp/common/000145599.pdf〉 (Sep. 24, 2011) (in Japanese).
Miyagi, T. (2001). “Economic appraisal for multiregional impacts by a large scale expressway project: A spatial computable general equilibrium approach.” Tinbergen Institute Discussion Paper: 〈http://www.tinbergen.nl/uvatin/01066.pdf〉 (Apr. 7, 2011).
Mun, S. I. (1997). “Transport network and system of cities.” J. Urban Econ., 42(2), 205–221.
Nordman, N. (1998). “Increasing returns to scale and benefits to traffic: A spatial general equilibrium analysis in the case of two primary inputs.” Centre for Regional Science (CERUM), Umeå, Sweden.
Prefecture Statistics Divisions. (2005). “Input-output tables.” Government of Japan, Tokyo.
Roson, R. (1995). “A general equilibrium analysis of the Italian transport system.” European transport and communications network: Policy evaluation and change., Banister, D., Capello, R., and Nijkamp, P., eds., Wiley, New York.
Sundberg, M. (2002). Development of a spatial computable general equilibrium (SCGE) model for analysis of regional economic impacts of the Öresund bridge, Royal Institute of Technology (KTH), Stockholm, Sweden.
Sundberg, M. (2005). “Spatial computable general equilibrium modeling-static and dynamic approaches.” Introduction to Licentiate thesis, KTH (Kungliga Tekniska Hogskolan), Stockholm, Sweden.
Tavasszy, L. A., Koike, A., and Vaga, A. (2007). “Dynamic spatial equilibrium models for social cost benefit analysis of transport projects and policies: implementations for Japan, the Netherlands and Hungary.” Proc., 11th World Conference on Transport Research (CD-ROM), World Conference on Transport Research Society, Lyon, France.
Ueda, T., Koike, A., and Iwakami, K. (2001). “Economic damage assessment of catastrophes in high speed rail network.” Proc., First Workshop on Comparative Study on Urban Earthquake Disaster Management, Kobe, Japan, 13–19.
Van den Bergh, J. C. J. M., Nijkamp, P., and Rietveld, P. (1996). Recent advances in spatial equilibrium modeling: Methodology and applications, Springer, New York.
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Published In
Journal of Infrastructure Systems
Volume 18 • Issue 4 • December 2012
Pages: 252 - 260
Copyright
© 2012 American Society of Civil Engineers.
History
Received: May 12, 2011
Accepted: Feb 9, 2012
Published online: Feb 13, 2012
Published in print: Dec 1, 2012
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