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Traffic Accessibility and the Effect on Firms and Population in 99 Austrian Regions

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  • Polasek, Wolfgang

    (Department of Economics and Finance, Institute for Advanced Studies, Vienna, Austria)

  • Schwarzbauer, Wolfgang

    (Department of Economics and Finance, Institute for Advanced Studies, Vienna, Austria)

Abstract

In this paper we describe the EAR (regional economic accessibility) model to investigate the impact of the improvement of railroad infrastructure on regional GDP, population and firms growth in 99 Austrian regions. We evaluate the impact of four potential railroad infrastructure investment projects on the accessibility of Austrian regions, which is used to forecast future growth of these regions. Regional performance is measured by four variables, gross regional product, number of firms, population size, and employment. Eventually a ranking of these four projects is carried out for the first ten years of operation of the four potential investment projects. We show that the improvement of train accessibility has different impacts on regions with high and low overall performance.

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File URL: http://www.ihs.ac.at/publications/eco/es-198.pdf
File Function: First version, 2006
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Bibliographic Info

Paper provided by Institute for Advanced Studies in its series Economics Series with number 198.

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Length: 32 pages
Date of creation: Nov 2006
Date of revision:
Handle: RePEc:ihs:ihsesp:198

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Related research

Keywords: Evaluation of infrastructure projects; Long-term regional forecasts; Accessibility and traffic analysis; Ranking;

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  1. Baldwin, Richard E. & Krugman, Paul, 2004. "Agglomeration, integration and tax harmonisation," European Economic Review, Elsevier, vol. 48(1), pages 1-23, February.
  2. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-99, June.
  3. Polasek, Wolfgang & Berrer, Helmut, 2005. "Regional Growth in Central Europe. Long-term Effects of Population and Traffic Structure," Economics Series 172, Institute for Advanced Studies.
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