Juan Luis Eugenio-Martin

Head of EITT Research Group (EITT)                                                         My CV: [Link]

Senior Lecturer in Economics


Editorial Board Member of Tourism Economics

Editorial Board Member of Journal of Sustainable Tourism

Editorial Board Member of Annals of Tourism Research


Executive Council Member of International Association for Tourism Economics

Phone: +34 928 458205

E-mail: juanluis.eugenio @ ulpgc.es

Last papers



Work in progress

Eugenio-Martin, J.L. and U. Perez-Granja (2022)


Quantifying the net impact and redistribution effects of airlines' exits on passenger traffic


This paper studies the impact of airlines’ exits on passenger traffic. In this regard, univariate and multivariate structural time series have been applied. They have proved useful to quantify the net impact on passenger traffic and redistribution effects among incumbent airlines. As an application, a natural experiment is studied, in which two relevant airlines filed for bankruptcy in different periods. In the first, policymakers employed a laissez faire strategy, whereas in the second, they applied an incentive scheme programme. The programme was based on the support of destination promotion, tax and tariff discounts. Overall, the paper shows that under laissez faire, the incumbent airlines did not take over the passenger traffic left by the airline that exited the route. However, in the second case, following approval of the incentive scheme, the loss of passengers was mitigated by the incumbent airlines.  [Paper]



Cazorla-Artiles, J.M. and J.L. Eugenio-Martin (2023)


Optimal targeting of latent tourism demand segments


This paper identifies for the first time the optimal target markets employing the latent

tourism demand expenditure, a novel concept in tourism literature. The study quantifies

latent tourism demand between each pair of origin-destination through distinguishing

by type of tourism and seasonality. It works with market shares that are estimated via a

fractional regression model. Moreover, latent demand is clustered using a market

segmentation approach based on a latent class regression. Finally, the optimal target

markets are chosen depending on the expected latent tourism expenditure. The result

has clear policy implications in terms of which markets are promoted, the optimal

channels of communication and the maximum budget for each marketing campaign. [Forthcoming]

Research interests


Tourism Economics. In particular: Determinants of tourism demand; Forecasting; Economic impacts assessment; Optimal tourism development; and Sustainable Tourism.


Methodologies of interest: Microeconometrics; Panel data; Structural time series; and Computable general equilibrium.


¿Cómo puedo montar una base de datos en Stata? Herramientas para:


  • Unir ficheros, unir variables y unir observaciones.
  • Convertir series de tiempo en una estructura de datos de panel y viceversa.




  • joinby
  • append
  • merge
  • reshape
  • duplicates drop
  • forvalues

8th IATE 2022 was held at Perpignan: [Link]


9th IATE 2024 yet to be announced.


Papers in progress: 1. On Airbnb entry phenomenon. 2. On the impact of Covid19 on tourism demand (with J.M. Cazorla, A. Moreda, J.M. Munguia and A. Risso). 3. On the spatial and time decay impacts of events (with J.M. Cazorla). 4. On the optimal targeting of latent tourism demand segments (with J.M. Cazorla). 5. On the substitution patterns between urban transportation modes (with Manuel Ojeda). 6. On the economic valuation of tourism rejuvenation (with B. Kriström). 7. On the economic valuation of forest secuestration (with B. Kriström and F. Inchausti). 8. On the economic valuation of time savings with CGE models (with F. Inchausti, J.M. Cazorla and U. Pérez). 9. On repeat visits phenomenon with asymmetric distributions (with José Mª Pérez and Jorge Pérez).

This version: October 2022