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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
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    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. 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.
    4. 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).
    5. 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).
    6. 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.
    7. 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).
    8. 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).
    9. Sobieralski, Joseph B., 2021. "Transportation infrastructure and employment: Are all investments created equal?," Research in Transportation Economics, Elsevier, vol. 88(C).

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