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The ripple effects of large‐scale transport infrastructure investment

Author

Listed:
  • Damiaan Persyn
  • Javier Barbero
  • Jorge Díaz‐Lanchas
  • Patrizio Lecca
  • Giovanni Mandras
  • Simone Salotti

Abstract

We analyze the general equilibrium effects of an asymmetric decrease in transport costs, combining a large‐scale spatial dynamic general equilibrium model for 267 European NUTS‐2 regions with a detailed transport model at the level of individual road segments. As a case study, we consider the impact of the road infrastructure investments in Central and Eastern Europe of the European Cohesion Policy. Our analysis suggests that the decrease in transportation costs benefits the targeted regions via substantial increases in gross domestic product (GDP) and welfare compared to the baseline, and a small increase in population. The geographic information embedded in the transport model leads to relatively large predicted benefits in peripheral countries such as Greece and Finland, which hardly receive funds, but whose trade links cross Central and Eastern Europe, generating profit from the investments there. The richer, Western European nontargeted regions also enjoy a higher GDP after the investment in the East, but these effects are smaller. Thus, the policy reduces interregional disparities. There are rippled patterns in the predicted policy spillovers. In nontargeted countries, regions trading more intensely with regions where the investment is taking place on average benefit more compared to other regions within the same country, but also compared to neighboring regions across an international border. We uncover that regions importing goods from Central and Eastern Europe enjoy the largest spillovers. These regions become more competitive and expand exports, to the detriment of other regions in the same country.

Suggested Citation

  • Damiaan Persyn & Javier Barbero & Jorge Díaz‐Lanchas & Patrizio Lecca & Giovanni Mandras & Simone Salotti, 2023. "The ripple effects of large‐scale transport infrastructure investment," Journal of Regional Science, Wiley Blackwell, vol. 63(4), pages 755-792, September.
  • Handle: RePEc:bla:jregsc:v:63:y:2023:i:4:p:755-792
    DOI: 10.1111/jors.12639
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    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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