Reviewing the factors driving demand for regional tourism in Uruguay

Authors

DOI:

https://doi.org/10.7784/rbtur.v20.3423

Keywords:

Tourism demand, Real exchange rate, Cointegration

Abstract

Tourism is a key driver of Uruguay’s economy, accounting for around 9% of GDP and 7% of total employment. Argentina and Brazil are the main source markets, together accounting for approximately 70% of total tourism demand. This paper reviews recent evidence on the long-run relationship between tourism demand, income, and the real exchange rate using vector error correction models (VECM), estimated separately for Argentina and Brazil from January 2005 to June 2025. An uncertainty measure is also incorporated to assess its potential effects. The results show that Argentine tourism demand responds to both income and relative prices, with an income elasticity close to 4, confirming tourism as a luxury good, while uncertainty has no significant effect. In contrast, Brazilian demand is driven exclusively by income, with an elasticity close to 3, and uncertainty behaves as an exogenous factor. Forecasts suggest that Argentine tourism would grow by 8% in 2025 and 8.5% in 2026, while Brazilian tourism is projected to increase by 12% and 9%, respectively. Impulse response functions indicate strong income effects in both markets, with faster short-run adjustment in Argentina (three months) than in Brazil (about one year).

 

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Author Biographies

Gabriela Mordecki, University of the Republic of Uruguay

Bachelor's degree in Economics and Master's degree in Trade Modelling and Policy from the University of Antwerp (UFSIA), Belgium, and specialization in Industrial Economics from the Regional University of Blumenau (FURB), Brazil. Professor and researcher at the Institute of Economics of the Faculty of Economic Sciences at the University of the Republic (FCEA, UDELAR). Works in short-run economics, uncertainty, competitiveness, economic projections, and tourism economics. Contributions: Data curation, Formal analysis, Investigation, Methodology, Project administration, Supervision, Writing - original draft, Writing - review & editing.

Sofía Domingorena, University of the Republic of Uruguay

Bachelor's degree in Economics and Master's degree in Economics from the School of Economics and Business Administration at the University of the Republic of Uruguay. PhD candidate at the University of Jaén. Academic studies focused on quantitative methods, particularly time-series econometrics. Contributions: Data curation, Formal analysis, Investigation, Methodology, Writing - original draft, riting - review & editing.

References

Altmark, S., Mordecki, G., Risso, W. A., & Santiñaque, F. (2013). Argentinian and Brazilian demands for tourism in Uruguay. Tourism Analysis, 18(2), 173–182. https://doi.org/10.3727/108354213X13645733247738 DOI: https://doi.org/10.3727/108354213X13645733247738

Baker, S., Bloom, N., & Davis, S. (2016). Measuring economic policy uncertainty. The Quarterly Journal of Economics, 131(4), 1593–1636. https://doi.org/10.1093/qje/qjw024 DOI: https://doi.org/10.1093/qje/qjw024

Brida, J. G., Cortes-Jimenez, I., & Pulina, M. (2016). Has the tourism-led growth hypothesis been validated? A litera-ture review. Current Issues in Tourism, 19(5), 394–430. https://doi.org/10.1080/13683500.2013.868414 DOI: https://doi.org/10.1080/13683500.2013.868414

Brida, J. G., Monterubbianesi, P. D., & Serviansky, M. (2012). El impacto del costo del transporte en la demanda de turismo receptivo argentino en Uruguay: Un análisis desagregado de cointegración y causalidad. TURYDES: Revista sobre Turismo y Desarrollo Local Sostenible, 5(12). https://dialnet.unirioja.es/servlet/articulo?codigo=9006800

Brida, J. G., Lanzilotta, B., Lionetti, S., & Risso, W. A. (2010). Research note: The tourism-led growth hypothesis for Uruguay. Tourism Economics, 16(3), 765–771. https://doi.org/10.5367/000000010792278356 DOI: https://doi.org/10.5367/000000010792278356

Brida, J. G., Risso, W., & Sánchez, E. (2008). A long-run equilibrium demand function: Tourism in Mexico. Tourismos, 3(1), 66–82. https://mpra.ub.uni-muenchen.de/25375/

Crouch, G. (1994). The Study of International Tourism Demand: A Review of Findings. Journal of Travel Research. Volume 33, Issue 1. https://doi.org/10.1177/004728759403300102 DOI: https://doi.org/10.1177/004728759403300102

De Mello, M., Pack, A. & Sinclair, M.T. (2002). A system of equations model of UK tourism demand in neighbouring countries. Applied Economics, Taylor & Francis Journals, vol. 34(4), pages 509-521. https://doi.org/10.1080/00036840110049310 DOI: https://doi.org/10.1080/00036840110049310

Efthimiou, S. G. (2025). The trends of tourism sector after COVID-19 period: A study of strategy and implications. Cor-porate & Business Strategy Review, 6(1). https://doi.org/10.22495/cbsrv6i1art12 DOI: https://doi.org/10.22495/cbsrv6i1art12

Garín-Muñoz, T. (2007). German demand for tourism in Spain. Tourism Management, 28(1), 12–22. DOI: https://doi.org/10.1016/j.tourman.2005.07.020

Gunter, U., & Panosso Netto, A. (2016). International travel to and from Brazil – Overseas tourism as a luxury good and a status symbol. Tourism Economics, 22(5), 1151–1160. https://doi.org/10.5367/te.2015.0473 DOI: https://doi.org/10.5367/te.2015.0473

Hall, P. (1986). On the bootstrap and confidence intervals. The Annals of Statistics, 14, 1431–1452. DOI: https://doi.org/10.1214/aos/1176350168

Hanly, P., & Wade, G. (2007). Modelling tourism demand: An econometric analysis of North American tourist expendi-ture in Ireland, 1985–2004. Tourism Economics, 13(2), 319–327. https://doi.org/10.5367/000000007780823159 DOI: https://doi.org/10.5367/000000007780823159

Icoz, O., Var, T., & Kozak, M. (1998). Tourism demand in Turkey. Annals of Tourism Research, 25(1), 236–240. https://doi.org/10.1016/S0160-7383(97)00070-4 DOI: https://doi.org/10.1016/S0160-7383(97)00070-4

Instituto Nacional de Estadística (INE). (2023). Censo 2023. https://www.gub.uy/instituto-nacional-estadistica/censos2023pvh

Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2–3), 231–254. https://doi.org/10.1016/0165-1889(88)90041-3 DOI: https://doi.org/10.1016/0165-1889(88)90041-3

Johansen, S. (1991). Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models. Econometrica, 59(6), 1551–1580. https://doi.org/10.2307/2938278 DOI: https://doi.org/10.2307/2938278

Kadir, N., & Karim, M. Z. A. (2009). Demand for tourism in Malaysia by UK and US tourists: A cointegration and error correction model approach. In Á. Matias, P. Nijkamp, & M. Sarmento (Eds.), Advances in tourism economics. Physica-Verlag. https://doi.org/10.1007/978-3-7908-2124-6_4 DOI: https://doi.org/10.1007/978-3-7908-2124-6_4

Ketenci, N. (2010). Cointegration analysis of tourism demand for Turkey. Applied Econometrics and International Development, 10(1), 91–114.

Lanzilotta, B., Merlo, G., Mordecki, G., & Umpiérrez, V. (2023). Understanding uncertainty shocks in Uruguay through VAR modeling. Journal of Business Cycle Research, 19, 399–419. https://doi.org/10.1007/s41549-023-00081-5 DOI: https://doi.org/10.1007/s41549-023-00081-5

Lim, C., & McAleer, M. (2003). Modelling international travel demand from Singapore to Australia. Anatolia: An Inter-national Journal of Tourism and Hospitality Research, 14(1), 23–43. https://doi.org/10.1080/13032917.2003.9687138 DOI: https://doi.org/10.1080/13032917.2003.9687138

MacKinnon. J.G., Haug, A.A., Michelis, L. (1999). Numerical distribution functions of likelihood ratio tests for cointe-gration. Journal of Applied Econometrics. https://doi.org/10.1002/(SICI)1099-1255(199909/10)14:5%3C563::AID-JAE530%3E3.0.CO;2-R

Mendieta-Aragón, A., & Garín-Muñoz, T. (2020). Foreign tourism in Andalusia: A dynamic panel data analysis. Advanc-es in Decision Sciences, 24(3), 1–32. https://doi.org/10.47654/v24y2020i3p110-141 DOI: https://doi.org/10.47654/v24y2020i3p110-141

Mervar, A., & Payne, J. (2007). Analysis of foreign tourism demand for Croatian destinations: Long-run elasticity esti-mates. Tourism Analysis, 13(3), 407–420. https://doi.org/10.5367/000000007781497764 DOI: https://doi.org/10.5367/000000007781497764

Mordecki, G. (2014). Determinants of Argentinean tourism demand in Uruguay (Serie Documentos de Trabajo No. DT 17/2014). Instituto de Economía, Facultad de Ciencias Económicas y Administración, Universidad de la Re-pública. https://www.colibri.udelar.edu.uy/jspui/bitstream/20.500.12008/425

Nguyen, P. C., Schinckus, C., Hui Ling Chong, F., Nguyen, B. Q., & Le Thuy Tran, D. (2024). Tourism and contribution to employment: Global evidence. Journal of Economics and Development, 27(1), p. 22-37. https://doi.org/10.1108/JED-07-2024-0269 DOI: https://doi.org/10.1108/JED-07-2024-0269

Robano, V. (2000). Determinantes del turismo receptivo en Uruguay. In Proceedings of the XV Jornadas de Economía del Banco Central del Uruguay. Banco Central del Uruguay. https://bvrie.bcu.gub.uy/local/File/JAE/2000/iees03j3401100.pdf

Sánchez-Dávila, G. (2021). Clasificación climática de Sudamérica [ArcGIS StoryMap]. ArcGIS StoryMaps. https://storymaps.arcgis.com/stories/b74200791dda49958d6d39eddaca74a0

Serviansky, M. (2011). El impacto del costo del transporte en la demanda de turismo receptivo argentino en Uru-guay: Un análisis desagregado de cointegración y causalidad (Master’s thesis). Universidad de la República. https://www.colibri.udelar.edu.uy/jspui/handle/20.500.12008/50769

Sheldon, P.J. (1993). Forecasting Tourism: Expenditures versus Arrivals. Journal of Travel Research. Volume 32, Issue 1. https://doi.org/10.1177/004728759303200103 DOI: https://doi.org/10.1177/004728759303200103

Sims, C.A. (1980). Macroeconomics and Reality. Econometrica. Vol. 48, No. 1 (Jan., 1980), pp. 1-48 (48 pages). https://doi.org/10.2307/1912017 DOI: https://doi.org/10.2307/1912017

Song, H., Lin, S., Zhang, X., & Gao, Z. (2010). Global financial/economic crisis and tourist arrival forecasts for Hong Kong. Asia Pacific Journal of Tourism Research, 15(2), 223–242. https://doi.org/10.1080/10941661003687431 DOI: https://doi.org/10.1080/10941661003687431

Song, H., Witt, S. T., & Li, G. (2009). The advanced econometrics of tourism demand. Routledge. https://doi.org/10.4324/9780203891469 DOI: https://doi.org/10.4324/9780203891469

Song, H., & Wong, K. (2003). Tourism demand modeling: A time-varying parameter approach. Journal of Travel Re-search, 42(1), 57–64. https://doi.org/10.1177/0047287503253908 DOI: https://doi.org/10.1177/0047287503253908

Tso, E. (2017). The evolution of global tourism: Trends, challenges, and opportunities. International Journal of Open Publication and Exploration, 5(1).

UN Tourism. (2025a). International tourism recovers pre-pandemic levels in 2024 [Press release]. https://www.untourism.int/news/international-tourism-recovers-pre-pandemic-levels-in-2024

UN Tourism. (2025b). World tourism barometer. https://doi.org/10.18111/wtobarometereng DOI: https://doi.org/10.18111/wtobarometereng

Vanegas, M. (2013). Co-integration and error correction estimation to forecast tourism in El Salvador. Journal of Trav-el & Tourism Marketing, 30(6), 523–537. https://doi.org/10.1080/10548408.2013.810992 DOI: https://doi.org/10.1080/10548408.2013.810992

Vanegas, M., & Croes, R. (2000). Evaluation of demand: US tourists to Aruba. Annals of Tourism Research, 27(4), 946–963. https://doi.org/10.1016/S0160-7383(99)00114-0 DOI: https://doi.org/10.1016/S0160-7383(99)00114-0

Vincent, P., Marianovich, P., Ogues, L., & Alesina, L. (2007). Zona costera uruguaya: Percepción de los asuntos priori-tarios. Ecoplata.

Wang, Y. (2009). The impact of crisis events and macroeconomic activity on Taiwan’s international inbound tourism demand. Tourism Management, 30, 75–82. DOI: https://doi.org/10.1016/j.tourman.2008.04.010

World Tourism Organization. (2025). Tourism statistics and macroeconomic indicators. https://www.unwto.org/tourism-statistics/tourism-data-macroeconomic-indicators

Zhou, T., Bonham, C., & Gangnes, B. (2007). Modeling the supply and demand for tourism: A fully identified VECM approach (Working Paper No. 200717). University of Hawaii, Department of Economics. https://www.researchgate.net/publication/5082298_Modeling_the_supply_and_demand_for_tourism_a_fully_identified_VECM_approach

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Published

2026-07-01

How to Cite

Mordecki, G., & Domingorena, S. (2026). Reviewing the factors driving demand for regional tourism in Uruguay. Revista Brasileira De Pesquisa Em Turismo, 20, 3423. https://doi.org/10.7784/rbtur.v20.3423

Issue

Section

Articles - Tourism Management