Amb motiu del tancament d'estiu, la validació de documents es reprendrà a partir del 28 d'agost de 2026. Disculpeu les molèsties.
Con motivo del cierre de verano, la validación de documentos se reanudará a partir del 28 de agosto de 2026. Disculpad las molestias
Due to the summer closure, document validation will resume starting August 28, 2026. We apologize for any inconvenience.

Document type

Working paper

Publication date

Publication license

cc-by-nc-nd, (c) Hernández Vieira et al., 2014
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/67753

Does High-Speed Rail Generate Spillovers on Local Budgets

Journal Title

Director/Tutor

Journal ISSN

Volume Title

Related resource

Abstract

Many developed countries have boosted investment into High-Speed Rail (HSR). This infrastructure is costly and requires high investment during the construction and operation periods, which is mainly financed with public funds. This economic effort is seldom set off, which leads to subsidies with the money collected from public debt growth or tax pressure increases. The question that immediately emerges is whether the entrance of this new infrastructure generates spillovers at the local level. In this paper, we answer this question by using local data on economic activity, unicipalities’ characteristics and local public budgets in Spain for the past decade (2001–2010). To approach to this problem, we use GIS tools and build a database to estimate the impact by considering difference-in-difference analysis. Our estimations yield a general conclusion: when HSR comes to town, both local revenues and the local fiscal gap improve by 10% and 16%, respectively. These improvements primarily affect municipalities located within 5 km of an HSR station.

Citation

Citation

HERNÁNDEZ VIEIRA, Aday and JIMÉNEZ GONZÁLEZ, Juan Luis. Does High-Speed Rail Generate Spillovers on Local Budgets. Càtedra Pasqual Maragall d'Economia i Territori – Documents de treball. WP 01/2014. [consulted: 19 of August of 2026]. Available at: https://hdl.handle.net/2445/67753

Export metadata

JSON - METS

Share record