IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v46y2019i9p1714-1723.html
   My bibliography  Save this article

Evaluating the causal economic impacts of transport investments: evidence from the Madrid–Barcelona high speed rail corridor

Author

Listed:
  • Jose M. Carbo
  • Daniel J. Graham
  • Anupriya
  • Daniel Casas
  • Patricia C. Melo

Abstract

This paper evaluates economic impacts arising from the introduction of high-speed rail (HSR) between Madrid and Barcelona. Using difference-in-differences estimation we estimate an average treatment effect for provinces with stops on the HSR line of 2.4% for economic output, 3.3% for numbers of firms, and 1.1% for labour productivity. We complement our DID results with a synthetic control analysis for Lleida and Tarragona, two provinces that we argue were assigned HSR stations largely due to their incidental location. We find that both the number of firms and labour productivity are substantially higher in these provinces than in their synthetic counterparts.

Suggested Citation

  • Jose M. Carbo & Daniel J. Graham & Anupriya & Daniel Casas & Patricia C. Melo, 2019. "Evaluating the causal economic impacts of transport investments: evidence from the Madrid–Barcelona high speed rail corridor," Journal of Applied Statistics, Taylor & Francis Journals, vol. 46(9), pages 1714-1723, July.
    • Handle: RePEc:taf:japsta:v:46:y:2019:i:9:p:1714-1723
    DOI: 10.1080/02664763.2018.1558188
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02664763.2018.1558188
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02664763.2018.1558188?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Baek, Jisun & Park, WooRam, 2022. "The impact of improved passenger transport system on manufacturing plant productivity," Regional Science and Urban Economics, Elsevier, vol. 96(C).
    2. Sun, Yunpeng & Razzaq, Asif & Kizys, Renatas & Bao, Qun, 2022. "High-speed rail and urban green productivity: The mediating role of climatic conditions in China," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    3. Badura, Ondřej & Melecký, Aleš & Melecký, Martin, 2023. "Liberalizing passenger rail: The effect of competition on local unemployment," Economics of Transportation, Elsevier, vol. 36(C).
    4. Federica Rossi & Rico Maggi, 2019. "Business travel decisions and high-speed trains: an ordered logit approach," REGION, European Regional Science Association, vol. 6, pages 1-16.
    5. Dong, Yan & Huang, Jun & Wu, Ji, 2023. "Does high-speed rail affect the agglomeration of banks in China?," Emerging Markets Review, Elsevier, vol. 56(C).
    6. Li, Chunying & Zhang, Jinning & Lyu, Yanwei, 2022. "Does the opening of China railway express promote urban total factor productivity? New evidence based on SDID and SDDD model," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    7. Vickerman, Roger, 2024. "The transport problem: The need for consistent policies on pricing and investment," Transport Policy, Elsevier, vol. 149(C), pages 49-58.
    8. Ginés de Rus & Javier Campos & Daniel Graham & M. Pilar Socorro & Jorge Valido, 2020. "Evaluación Económica de Proyectos y Políticas de Transporte: Metodología y Aplicaciones. Parte 1: Metodología para el análisis coste-beneficio de proyectos y políticas de transporte," Working Papers 2020-11, FEDEA.
    9. Yang, Xuehui & Zhang, Huirong & Li, Yan, 2022. "High-speed railway, factor flow and enterprise innovation efficiency: An empirical analysis on micro data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    10. Di Matteo, Dante & Mariotti, Ilaria & Rossi, Federica, 2023. "Transport infrastructure and economic performance: An evaluation of the Milan-Bologna high-speed rail corridor," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    11. Xiaoxuan Zhang & John Gibson, 2024. "Local economic effects of connecting to China's high-speed rail network: Evidence from spatial econometric models," Working Papers in Economics 24/03, University of Waikato.
    12. Sobieralski, Joseph B., 2021. "Transportation infrastructure and employment: Are all investments created equal?," Research in Transportation Economics, Elsevier, vol. 88(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:japsta:v:46:y:2019:i:9:p:1714-1723. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJAS20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.