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High-Speed Rail: a panel data impact evaluation by Municipalities on depopulation and unemployment

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  • Cobos, Carlos
  • Escribano, Álvaro

Abstract

The research is focused on the impact of High-Speed Rail (HSR) by Municipalities on population density and unemployment, based on economic and demographic variables of Spain. For that purpose, we construct a panel for a 15-years period (1998-2012) where the treatment variable HSR takes the value of 1 when the municipality is within an area of 10 km from the train station, allowing for the size of the municipality to interact with HSR. Two different samples are considered: all the municipalities and by HSR corridors.To evaluate the transport service impact, a Difference in Difference technique is applied to different model specifications to isolate the HSR effects, after controlling for relevant variables. A simultaneous equation panel data model is estimated, equation by equation by ordinary least squares and by dynamic ordinary least squares, with robust empirical results. Reallocation effects on the population are observed in the national sample, with positive effects on small cities and little municipalities (20,000 people). Only the South and North corridors show positive net results on population density. With respect to unemployment, the effects are not so clear. At the national level, only small municipalities (

Suggested Citation

  • Cobos, Carlos & Escribano, Álvaro, 2022. "High-Speed Rail: a panel data impact evaluation by Municipalities on depopulation and unemployment," UC3M Working papers. Economics 35284, Universidad Carlos III de Madrid. Departamento de Economía.
    • Handle: RePEc:cte:werepe:35284
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    References listed on IDEAS

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    1. Vickerman, Roger, 2018. "Can high-speed rail have a transformative effect on the economy?," Transport Policy, Elsevier, vol. 62(C), pages 31-37.
    2. Eduardo Gutiérrez & Enrique Moral-Benito & Roberto Ramos & Daniel Oto-Peralías, 2020. "The spatial distribution of population in Spain: an anomaly in european perspective," Working Papers 2028, Banco de España.
    3. Ginés de Rus, 2010. "Introduction to Cost–Benefit Analysis," Books, Edward Elgar Publishing, number 13756.
    4. Daniel F Heuermann & Johannes F Schmieder, 2019. "The effect of infrastructure on worker mobility: evidence from high-speed rail expansion in Germany," Journal of Economic Geography, Oxford University Press, vol. 19(2), pages 335-372.
    5. Anthony J. Venables, 2007. "Evaluating Urban Transport Improvements: Cost-Benefit Analysis in the Presence of Agglomeration and Income Taxation," Journal of Transport Economics and Policy, University of Bath, vol. 41(2), pages 173-188, May.
    6. Daniel Albalate & Germà Bel, 2011. "Cuando La Economía No Importa: Auge Y Esplendor De La Alta Velocidad En España," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 19(1), pages 171-190, Spring.
    7. Adolfo Maza & José Villaverde, 2007. "Okun's law in the Spanish regions," Economics Bulletin, AccessEcon, vol. 18(5), pages 1-11.
    8. Ginés de Rus, 2008. "The Economic Effects of High Speed Rail Investment," OECD/ITF Joint Transport Research Centre Discussion Papers 2008/16, OECD Publishing.
    9. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
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    More about this item

    Keywords

    High-Speed Rail;

    JEL classification:

    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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