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Transport infrastructure and economic performance: An evaluation of the Milan-Bologna high-speed rail corridor

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  • Di Matteo, Dante
  • Mariotti, Ilaria
  • Rossi, Federica

Abstract

This paper evaluates the impact of high-speed rail on the economic performance of the Milan-Bologna corridor in Northern Italy in terms of gross value added, distinguishing between services and manufacturing. The evidence-based impact assessment is carried out through propensity score matching difference-in-differences, event study, and synthetic control methods using NUTS 3 provincial panel data 2000–2018. The results suggest overall positive effects for the NUTS 3 provinces directly exposed to the programme. Still, sectoral heterogeneities arise depending on the specialization of the place hosting a high-speed railway stop. Moreover, different magnitudes occur depending on whether or not a high-speed station is located in a central place.

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  • 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).
  • Handle: RePEc:eee:soceps:v:85:y:2023:i:c:s0038012122000891
    DOI: 10.1016/j.seps.2022.101304
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    as
    1. Eleonora Patacchini & Patricia Rice, 2007. "Geography and Economic Performance: Exploratory Spatial Data Analysis for Great Britain," Regional Studies, Taylor & Francis Journals, vol. 41(4), pages 489-508.
    2. Cascetta, Ennio & Papola, Andrea & Pagliara, Francesca & Marzano, Vittorio, 2011. "Analysis of mobility impacts of the high speed Rome–Naples rail link using withinday dynamic mode service choice models," Journal of Transport Geography, Elsevier, vol. 19(4), pages 635-643.
    3. Vickerman, Roger, 2015. "High-speed rail and regional development: the case of intermediate stations," Journal of Transport Geography, Elsevier, vol. 42(C), pages 157-165.
    4. Vickerman, Roger, 2018. "Can high-speed rail have a transformative effect on the economy?," Transport Policy, Elsevier, vol. 62(C), pages 31-37.
    5. Damian Clarke & Kathya Tapia-Schythe, 2021. "Implementing the panel event study," Stata Journal, StataCorp LP, vol. 21(4), pages 853-884, December.
    6. Liu, Liwen & Zhang, Ming, 2018. "High-speed rail impacts on travel times, accessibility, and economic productivity: A benchmarking analysis in city-cluster regions of China," Journal of Transport Geography, Elsevier, vol. 73(C), pages 25-40.
    7. Albalate, Daniel & Fageda, Xavier, 2016. "High speed rail and tourism: Empirical evidence from Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 174-185.
    8. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    9. Jia, Shanming & Zhou, Chunyu & Qin, Chenglin, 2017. "No difference in effect of high-speed rail on regional economic growth based on match effect perspective?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 144-157.
    10. Chia-Lin Chen & Anastasia Loukaitou-Sideris & José M. de Ureña & Roger Vickerman, 2019. "Spatial short and long-term implications and planning challenges of high-speed rail: a literature review framework for the special issue," European Planning Studies, Taylor & Francis Journals, vol. 27(3), pages 415-433, March.
    11. Li, Yan & Chen, Zhenhua & Wang, Peng, 2020. "Impact of high-speed rail on urban economic efficiency in China," Transport Policy, Elsevier, vol. 97(C), pages 220-231.
    12. Gabriel M Ahlfeldt & Arne Feddersen, 2018. "From periphery to core: measuring agglomeration effects using high-speed rail," Journal of Economic Geography, Oxford University Press, vol. 18(2), pages 355-390.
    13. Wouter Jacobs & Hans R. A. Koster & Frank van Oort, 2014. "Co-agglomeration of knowledge-intensive business services and multinational enterprises," Journal of Economic Geography, Oxford University Press, vol. 14(2), pages 443-475.
    14. Annamaria Nifo & Gaetano Vecchione, 2014. "Do Institutions Play a Role in Skilled Migration? The Case of Italy," Regional Studies, Taylor & Francis Journals, vol. 48(10), pages 1628-1649, October.
    15. Massimiliano Mazzanti & Sandro Montresor & Paolo Pini, 2011. "Outsourcing, delocalization and firm organization: Transaction costs versus industrial relations in a local production system of Emilia Romagna," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 23(7-8), pages 419-447, September.
    16. Borsati, Mattia & Albalate, Daniel, 2020. "On the modal shift from motorway to high-speed rail: evidence from Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 145-164.
    17. Feng Li & Yang Su & Jiaping Xie & Weijun Zhu & Yahua Wang, 2020. "The Impact of High-Speed Rail Opening on City Economics along the Silk Road Economic Belt," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    18. Matilde Mas & Joaquin Maudos & Francisco Perez & Ezequiel Uriel, 1996. "Infrastructures and Productivity in the Spanish Regions," Regional Studies, Taylor & Francis Journals, vol. 30(7), pages 641-649.
    19. Meng, Xuechen & Lin, Shanlang & Zhu, Xiaochuan, 2018. "The resource redistribution effect of high-speed rail stations on the economic growth of neighbouring regions: Evidence from China," Transport Policy, Elsevier, vol. 68(C), pages 178-191.
    20. Chen, Zhenhua & Haynes, Kingsley E., 2017. "Impact of high-speed rail on regional economic disparity in China," Journal of Transport Geography, Elsevier, vol. 65(C), pages 80-91.
    21. Zhenhua Chen, 2019. "Measuring the regional economic impacts of high-speed rail using a dynamic SCGE model: the case of China," European Planning Studies, Taylor & Francis Journals, vol. 27(3), pages 483-512, March.
    22. Mark Roberts & Martin Melecky & Théophile Bougna & Yan (Sarah) Xu, 2020. "Transport corridors and their wider economic benefits: A quantitative review of the literature," Journal of Regional Science, Wiley Blackwell, vol. 60(2), pages 207-248, March.
    23. Peter J. Taylor & Michael Hoyler, 2021. "Lost in plain sight: revealing central flow process in Christaller’s original central place systems," Regional Studies, Taylor & Francis Journals, vol. 55(2), pages 345-353, February.
    24. Li, Xiaolong & Wu, Zongfa & Zhao, Xingchen, 2020. "Economic effect and its disparity of high speed rail in China: A study of mechanism based on synthesis control method," Transport Policy, Elsevier, vol. 99(C), pages 262-274.
    25. Ahmed, Khalid & Bhattacharya, Mita & Qazi, Ahmer Qasim & Ghumro, Niaz Ahmed, 2021. "Transport infrastructure and industrial output in Pakistan: An empirical investigation," Research in Transportation Economics, Elsevier, vol. 90(C).
    26. Chia-Lin Chen & Roger Vickerman, 2017. "Can transport infrastructure change regions’ economic fortunes? Some evidence from Europe and China," Regional Studies, Taylor & Francis Journals, vol. 51(1), pages 144-160, January.
    27. Beria, Paolo & Grimaldi, Raffaele & Albalate, Daniel & Bel, Germà, 2018. "Delusions of success: Costs and demand of high-speed rail in Italy and Spain," Transport Policy, Elsevier, vol. 68(C), pages 63-79.
    28. Pagliara, Francesca & Mauriello, Filomena & Garofalo, Antonio, 2017. "Exploring the interdependences between High Speed Rail systems and tourism: Some evidence from Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 300-308.
    29. José M. Coronado & José M. de Ureña & José Luis Miralles, 2019. "Short- and long-term population and project implications of high-speed rail for served cities: analysis of all served Spanish cities and re-evaluation of Ciudad Real and Puertollano," European Planning Studies, Taylor & Francis Journals, vol. 27(3), pages 434-460, March.
    30. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    31. Nicola Pontarollo & Roberto Ricciuti, 2020. "Railways and manufacturing productivity in Italy after unification," Journal of Regional Science, Wiley Blackwell, vol. 60(4), pages 775-800, September.
    32. Esmond Birnie & Richard Johnston & Laura Heery & Elaine Ramsey, 2019. "A critical review of competitiveness measurement in Northern Ireland," Regional Studies, Taylor & Francis Journals, vol. 53(10), pages 1494-1504, October.
    33. Liu, Shuli & Wan, Yulai & Zhang, Anming, 2021. "Does high-speed rail development affect airport productivity? Evidence from China and Japan," Transport Policy, Elsevier, vol. 110(C), pages 1-15.
    34. Pagliara, Francesca & Mauriello, Filomena, 2020. "Modelling the impact of High Speed Rail on tourists with Geographically Weighted Poisson Regression," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 780-790.
    35. Don J. Webber & John Hudson & Martin Boddy & Anthony Plumridge, 2009. "Regional productivity differentials in England: Explaining the gap," Papers in Regional Science, Wiley Blackwell, vol. 88(3), pages 609-621, August.
    36. Rokicki, Bartlomiej & Stępniak, Marcin, 2018. "Major transport infrastructure investment and regional economic development – An accessibility-based approach," Journal of Transport Geography, Elsevier, vol. 72(C), pages 36-49.
    37. Ryder, Andrew, 2012. "High speed rail," Journal of Transport Geography, Elsevier, vol. 22(C), pages 303-305.
    38. Brülhart, Marius & Sbergami, Federica, 2009. "Agglomeration and growth: Cross-country evidence," Journal of Urban Economics, Elsevier, vol. 65(1), pages 48-63, January.
    39. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    40. Udo Brixy, 2014. "The Significance of Entry and Exit for Regional Productivity Growth," Regional Studies, Taylor & Francis Journals, vol. 48(6), pages 1051-1070, June.
    41. Zhou, Zhengyi & Zhang, Anming, 2021. "High-speed rail and industrial developments: Evidence from house prices and city-level GDP in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 98-113.
    42. Cascetta, Ennio & Cartenì, Armando & Henke, Ilaria & Pagliara, Francesca, 2020. "Economic growth, transport accessibility and regional equity impacts of high-speed railways in Italy: ten years ex post evaluation and future perspectives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 412-428.
    43. Cavallaro, Federico & Bruzzone, Francesco & Nocera, Silvio, 2020. "Spatial and social equity implications for High-Speed Railway lines in Northern Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 327-340.
    44. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    45. Damian Clarke & Kathya Tapia-Schythe, 2021. "Implementing the panel event study," Stata Journal, StataCorp LP, vol. 21(4), pages 853-884, December.
    46. Mariachiara Barzotto & Lisa De Propris, 2019. "Skill up: smart work, occupational mix and regional productivity," Journal of Economic Geography, Oxford University Press, vol. 19(5), pages 1049-1075.
    47. Melo, Patricia C. & Graham, Daniel J. & Brage-Ardao, Ruben, 2013. "The productivity of transport infrastructure investment: A meta-analysis of empirical evidence," Regional Science and Urban Economics, Elsevier, vol. 43(5), pages 695-706.
    48. 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.
    49. Crescenzi, Riccardo & Di Cataldo, Marco & Giua, Mara, 2021. "FDI inflows in Europe: Does investment promotion work?," Journal of International Economics, Elsevier, vol. 132(C).
    50. Li, Hongchang & Strauss, Jack & Shunxiang, Hu & Lui, Lu, 2018. "Do high-speed railways lead to urban economic growth in China? A panel data study of China’s cities," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 70-89.
    51. Fenoaltea, Stefano, 1971. "Railroads and Italian industrial growth, 1861-1913," Explorations in Economic History, Elsevier, vol. 9(1), pages 325-351.
    52. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    53. Yu, Danlin & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Li, Guangdong, 2021. "The varying effects of accessing high-speed rail system on China’s county development: A geographically weighted panel regression analysis," Land Use Policy, Elsevier, vol. 100(C).
    54. Ilaria Mariotti & Carolina Pacchi & Stefano Di Vita, 2017. "Co-working Spaces in Milan: Location Patterns and Urban Effects," Journal of Urban Technology, Taylor & Francis Journals, vol. 24(3), pages 47-66, July.
    55. Brusco, Sebastiano, 1982. "The Emilian Model: Productive Decentralisation and Social Integration," Cambridge Journal of Economics, Oxford University Press, vol. 6(2), pages 167-184, June.
    56. Ricardo Mora & Iliana Reggio, 2015. "didq: A command for treatment-effect estimation under alternative assumptions," Stata Journal, StataCorp LP, vol. 15(3), pages 796-808, September.
    57. Raffaello Bronzini, 2007. "FDI Inflows, Agglomeration and Host Country Firms' Size: Evidence from Italy," Regional Studies, Taylor & Francis Journals, vol. 41(7), pages 963-978.
    58. Ke, Xiao & Chen, Haiqiang & Hong, Yongmiao & Hsiao, Cheng, 2017. "Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach," China Economic Review, Elsevier, vol. 44(C), pages 203-226.
    59. Junjie Hong & Zhaofang Chu & Qiang Wang, 2011. "Transport infrastructure and regional economic growth: evidence from China," Transportation, Springer, vol. 38(5), pages 737-752, September.
    60. Mora, Ricardo & Reggio, Iliana, 2012. "Treatment effect identification using alternative parallel assumptions," UC3M Working papers. Economics we1233, Universidad Carlos III de Madrid. Departamento de Economía.
    61. Di Matteo, Dante, 2021. "Effectiveness of place-sensitive policies in tourism," Annals of Tourism Research, Elsevier, vol. 90(C).
    62. Silvia Crivello & Luca Staricco, 2017. "Institutionalizing Metropolitan cities in Italy. Success and limits of a centralistic, simplifying approach," Urban Research & Practice, Taylor & Francis Journals, vol. 10(2), pages 228-238, April.
    63. Cartenì, Armando & Pariota, Luigi & Henke, Ilaria, 2017. "Hedonic value of high-speed rail services: Quantitative analysis of the students’ domestic tourist attractiveness of the main Italian cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 348-365.
    64. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    65. Dongxiao Niu & Weizeng Sun & Siqi Zheng, 2020. "Travel costs, trade, and market segmentation: Evidence from China's high‐speed railway," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1799-1825, December.
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    More about this item

    Keywords

    High-speed rail; Gross value added; Transport infrastructure impact assessment; Evidence-based evaluation;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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