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On the development of raem: The dutch spatial general equilibrium model and it's first application to a new railway link

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  • Thijs Knaap

    ()

  • Jan Oosterhaven

    ()

  • Lóri Tavasszy

    ()

Abstract

This paper describes the development of a spatial computable general equilibrium model aimed at estimating the indirect economic effects of major transport infrastructure projects on Dutch regions. The RAEM model is based in the so-called new economic geography literature. It employs monopolistic competition for fourteen sectors as the basic market form, and calibrates most of its coefficients on recently constructed bi-regional input-output tables for the Netherlands. The general outline of the model is described and the way it fits in with evaluation schemes presently adopted by the Dutch government and the European Commission. A first version of the model has been applied to a base scenario for the year 2020 and has been used for evaluating the indirect economic effects of a new railway link between Amsterdam and Groningen. The paper describes the results of this exercise and discusses the way the RAEM model will be developed further in the near future.

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Bibliographic Info

Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa01p171.

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Date of creation: Aug 2001
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Handle: RePEc:wiw:wiwrsa:ersa01p171

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  1. Dixit, Avinash K & Stiglitz, Joseph E, 1977. "Monopolistic Competition and Optimum Product Diversity," American Economic Review, American Economic Association, vol. 67(3), pages 297-308, June.
  2. Nijkamp, P. & Abreu, M., 2009. "Regional development theory," Serie Research Memoranda 0029, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  3. Masahisa Fujita & Paul Krugman & Anthony J. Venables, 2001. "The Spatial Economy: Cities, Regions, and International Trade," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262561476, December.
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Cited by:
  1. Bert Hof & Arjan Heyma & Toon Hoorn, 2012. "Comparing the performance of models for wider economic benefits of transport infrastructure: results of a Dutch case study," Transportation, Springer, vol. 39(6), pages 1241-1258, November.
  2. Tomoki Ishikura & Atsushi Koike & Keisuke Sato, 2012. "An Analysis on Differences in Spatial Computable General Equilibrium Models by Market Structure Assumption -A Comparison of Perfect Competition Modeling and Monopolistic Competition Modeling-," ERSA conference papers ersa12p333, European Regional Science Association.
  3. Attila Varga & Péter Járosi & Tamás Sebestyén, 2011. "Modeling the growth effects of regional knowledge production: The GMR-Europe model and its applications for EU Framework Program policy impact simulations," ERSA conference papers ersa11p1426, European Regional Science Association.
  4. Mark Thissen & Narisra Limtanakool & Hans Hilbers, 2011. "Road pricing and agglomeration economies: a new methodology to estimate indirect effects applied to the Netherlands," The Annals of Regional Science, Springer, vol. 47(3), pages 543-567, December.
  5. Simmonds, David & Feldman, Olga, 2011. "Alternative approaches to spatial modelling," Research in Transportation Economics, Elsevier, vol. 31(1), pages 2-11.
  6. Tavasszy, L.A. & Thissen, M.J.P.M. & Oosterhaven, J., 2011. "Challenges in the application of spatial computable general equilibrium models for transport appraisal," Research in Transportation Economics, Elsevier, vol. 31(1), pages 12-18.
  7. Varga, Attila & Járosi, Péter & Koike, Atsushi & Thissen, Mark, 2010. "Regionális fejlesztéspolitikai hatáselemzés térbeli számszerűsített általános egyensúlyi modellel
    [Effect analysis of regional development policy using a spatial, numerical model of gene
    ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 165-180.

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