IDEAS home Printed from https://ideas.repec.org/a/sae/toueco/v22y2016i2p254-268.html
   My bibliography  Save this article

Estimating the Tourism Demand Impact of Public Infrastructure Investment: The Case of Malaga Airport Expansion

Author

Listed:
  • Juan L. Eugenio-Martin

    (Universidad de Las Palmas de Gran Canaria, Facultad de Economía, Empresa y Turismo, Módulo D, Despacho D.2-06, Campus de Tafira, 35017 Las Palmas de Gran Canaria, Spain)

Abstract

This paper shows how structural time series models can be used to estimate the tourism demand impact of an airport expansion. The impact is measured by interventions in the series. Such interventions can be related to one-off events, permanent shifts or permanent changes in the slope of the series. The study case is the Malaga airport expansion. The impact distinguishes two effects: the new terminal building and the new runway. The results show that the infrastructure made a difference in attracting additional international tourists, especially those flying with low-cost carriers. The estimations show that the traffic increased by 6% due to the new terminal building, and the growth rate increased by 18% due to the new runway.

Suggested Citation

  • Juan L. Eugenio-Martin, 2016. "Estimating the Tourism Demand Impact of Public Infrastructure Investment: The Case of Malaga Airport Expansion," Tourism Economics, , vol. 22(2), pages 254-268, April.
  • Handle: RePEc:sae:toueco:v:22:y:2016:i:2:p:254-268
    DOI: 10.5367/te.2016.0547
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5367/te.2016.0547
    Download Restriction: no

    File URL: https://libkey.io/10.5367/te.2016.0547?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
    ---><---

    References listed on IDEAS

    as
    1. Junttila, Juha, 2001. "Structural breaks, ARIMA model and Finnish inflation forecasts," International Journal of Forecasting, Elsevier, vol. 17(2), pages 203-230.
    2. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    3. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521839198.
    4. Kapetanios, G. & Tzavalis, E., 2010. "Modeling structural breaks in economic relationships using large shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 34(3), pages 417-436, March.
    5. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871.
    6. Ann Clewer & Alan Pack & M. Thea Sinclair, 1990. "Forecasting Models For Tourism Demand In City Dominated And Coastal Areas," Papers in Regional Science, Wiley Blackwell, vol. 69(1), pages 31-42, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Jose I Castillo-Manzano & Mercedes Castro-Nuño & Lourdes Lopez-Valpuesta & à lvaro Zarzoso, 2021. "Quality versus quantity: An assessment of the impact of Michelin-starred restaurants on tourism in Spain," Tourism Economics, , vol. 27(5), pages 1166-1174, August.
    2. A Fronzetti Colladon & B Guardabascio & R Innarella, 2021. "Using social network and semantic analysis to analyze online travel forums and forecast tourism demand," Papers 2105.07727, arXiv.org.
    3. Luisa Doerr & Florian Dorn & Stefanie Gaebler & Niklas Potrafke, 2020. "How new airport infrastructure promotes tourism: evidence from a synthetic control approach in German regions," Regional Studies, Taylor & Francis Journals, vol. 54(10), pages 1402-1412, October.
    4. Eugenio-Martin, Juan Luis & Perez-Granja, Ubay, 2022. "Quantifying the net impact and redistribution effects of airlines’ exits on passenger traffic," Journal of Air Transport Management, Elsevier, vol. 101(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Helmut Lütkepohl, 2013. "Vector autoregressive models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 6, pages 139-164, Edward Elgar Publishing.
    2. Ulrich Fritsche & Vladimir Kuzin, 2005. "Declining output volatility in Germany: impulses, propagation, and the role of monetary policy," Applied Economics, Taylor & Francis Journals, vol. 37(21), pages 2445-2457.
    3. Michal Franta, 2012. "Macroeconomic Effects of Fiscal Policy in the Czech Republic: Evidence Based on Various Identification Approaches in a VAR Framework," Working Papers 2012/13, Czech National Bank.
    4. Anton Velinov, 2014. "Assessing the Sustainability of Government Debt: On the Different States of the Debt/GDP Process," Discussion Papers of DIW Berlin 1359, DIW Berlin, German Institute for Economic Research.
    5. João Sousa Andrade, 2006. "Mobilidade do Capital e Sustentabilidade Externa: uma aplicação da tese de F-H a Portugal (1910-2004)," GEMF Working Papers 2006-04, GEMF, Faculty of Economics, University of Coimbra.
    6. Ihle, Rico & Brümmer, Bernhard & Thompson, Stanley R., 2010. "Structural change in European calf markets: Policy decoupling and movement restrictions," 114th Seminar, April 15-16, 2010, Berlin, Germany 61085, European Association of Agricultural Economists.
    7. Brüggemann, Ralf & Jentsch, Carsten & Trenkler, Carsten, 2016. "Inference in VARs with conditional heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 191(1), pages 69-85.
    8. Julien Malizard, 2014. "Dépenses militaires et croissance économique dans un contexte non linéaire. Le cas français," Revue économique, Presses de Sciences-Po, vol. 65(3), pages 601-618.
    9. Leonardo Quero-Virla, 2016. "Macroeconomic Effects of Oil Price Fluctuations in Colombia," Revista Ecos de Economía, Universidad EAFIT, vol. 20(43), pages 23-38, December.
    10. Bernstein, Ronald & Madlener, Reinhard, 2015. "Short- and long-run electricity demand elasticities at the subsectoral level: A cointegration analysis for German manufacturing industries," Energy Economics, Elsevier, vol. 48(C), pages 178-187.
    11. Bonga-Bonga, Lumengo & Kabundi, Alain, 2015. "Monetary Policy Instrument and Inflation in South Africa: Structural Vector Error Correction Model Approach," MPRA Paper 63731, University Library of Munich, Germany.
    12. Baris Teke, 2013. "Effects of a Change in the Composition of IMKB 30 on Stock Performance," Istanbul Stock Exchange Review, Research and Business Development Department, Borsa Istanbul, vol. 13(51), pages 21-57, April.
    13. Kyritsis, Evangelos & Serletis, Apostolos, 2018. "The zero lower bound and market spillovers: Evidence from the G7 and Norway," Research in International Business and Finance, Elsevier, vol. 44(C), pages 100-123.
    14. Palić Irena & Hodžić Sabina & Dumičić Ksenija, 2019. "Personal Income Taxation Determinants in Federation of Bosnia and Herzegovina," Business Systems Research, Sciendo, vol. 10(1), pages 153-163, April.
    15. Michael Wegener & Göran Kauermann, 2017. "Forecasting in nonlinear univariate time series using penalized splines," Statistical Papers, Springer, vol. 58(3), pages 557-576, September.
    16. David S. Jacks & Martin Stuermer, 2021. "Dry bulk shipping and the evolution of maritime transport costs, 1850–2020," Australian Economic History Review, Economic History Society of Australia and New Zealand, vol. 61(2), pages 204-227, July.
    17. Qian, Chenqi & Zhang, Tianding & Li, Jie, 2023. "The impact of international commodity price shocks on macroeconomic fundamentals: Evidence from the US and China," Resources Policy, Elsevier, vol. 85(PB).
    18. Grau, Aaron Stephan Alexander & Hockmann, Heinrich, 2017. "Estimating oligopsony power on two vertically integrated markets," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261277, European Association of Agricultural Economists.
    19. Serrao, Amilcar, 2016. "A controversial debate between financial speculation and changes in agricultural commodity spot prices," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235638, Agricultural and Applied Economics Association.
    20. Ihle, R. & Brümmer, B. & Thompson, S.R., 2011. "Auswirkungen der Fischler-Reform und der Blauzungenkrankheit auf die Europäischen Kälbermärkte," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 46, March.

    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:sae:toueco:v:22:y:2016:i:2:p:254-268. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: SAGE Publications (email available below). General contact details of provider: .

    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.