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Santiago Rodríguez Feijoó
Universidad de Las Palmas de Gran Canaria
Delia Dávila Quintana
Universidad de Las Palmas de Gran Canaria
Alejandro Rodríguez Caro
Universidad de Las Palmas de Gran Canaria
Margarita Tejera Gil
Universidad de Las Palmas de Gran Canaria
Vol 28 No 3 (2019), Articles, pages 37-54
Submitted: 13-07-2019 Accepted: 13-07-2019 Published: 19-12-2019
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Tourism is the main source of wealth for many regions. These make their territory available to the tourist industry for the creation of infrastructures and facilities for tourist services. The peculiarities of the tourist product favor the appearance of intermediaries outside the destination, who compete to obtain a part of tourism spending, largely by the hand of new technologies, detracting resources to the destination that could be aimed at improving their growth and wellness. In the present paper, we use tourist data from the Canary Islands destination, covering the years 2006-2017, to study the share of the total tourist expenditure paid directly to the service provider in the destination, identifying their determinant variables and the evolution along of the studied years. The results show that the percentage of expenditure at the destination is affected by economic, sociodemographic, travel-related characteristics and with the ICT use but, ceteris paribus, this percentage is systematically decreasing over time, even when new technologies are used in the process of buying holidays.


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Aguiló, E., e Juaneda, C. (2000). Tourist expenditure for mass tourism markets. Annals of Tourism Research, 7(3), 624-637. DOI:

Alegre, J., Cladera, M., e Sard, M. (2011). Analysing the influence on tourist expenditure at a sun-and-sand destination. Tourism Economics, 17(4), 813-832. DOI:

Alegre, J., Pou, L. (2008). Research note: Tourism expenditure and all-inclusive packages – The case of a mature mediterranean destination. Tourism Economics, 14(3), 645-655. DOI:

Basu, A., e Manca, A., (2012). Regression estimators for generic health-related quality of life and quality-adjusted life years. Medical Decision Making, 32(1), 56-69. DOI:

Brida, J., e Scuderi, R. (2013). Tourism management perspectives. Tourism Management Perspectives, 6, 28-40. DOI:

Castellani, M., Pattitoni, P., e Scorcu, A., (2012). Visual artist price heterogeneity, Economics and Business Letters, 1(3), 16-22. DOI:

Castillo, E., Martínez, F., e Vázquez, E. (2015). O turismo en Ecuador. Novas tendencias no turismo sostible e contribución ao crecemento económico. Revista Galega de Economía, 24(2), pp. 69-84. Recuperado de

David-Negre, T., Hernández, J., e Moreno-Gil, S. (2018). Understanding tourists leisure expenditure at the destination: A social network analysis. Journal of Travel & Tourism Marketing, 35(7), 922-937. DOI:

Eurostat. (2018). Tourism statistics at regional level. Luxembourg, Luxembourg: Eurostat. Recuperado de

Exceltur. (2018). Impactur 2017. Estudio del impacto económico del turismo sobre la economía y el empleo de las Islas Canarias. Santa Cruz de Tenerife/Las Palmas de Gran Canaria: Gobierno de Canarias. Recuperado de

Ferrari, S., e Cribari-Neto, F. (2004). Beta regression for modelling rates and proportions, Journal of Applied Statistics, 31(7), 799-815. DOI:

García, A., Artal, A., e Ramos, J.M. (2002). El turismo del Mar Menor: predominio de la segunda residencia. Cuadernos de Turismo, 9, 33-45. Recuperado de

Guisán, M.C. (2017). Desarrollo económico regional de España, 1986-2013. 25 años de evolución. Revista Galega de Economía, 26(2), 171-182. Recuperado de

Hviid, M., e Villadsen, B. (1995). Beta distributed market shares in a spatial model with an application to the market for audit services. Review of Industrial Organization, 10(6), 737-747.

ISTAC (varios anos): Encuesta sobre el gasto turístico. Las Palmas de Gran Canaria/Santa Cruz de Tenerife: Instituto Canario de Estadística.

Kastenholz, E. (2005). Analysing determinants of visitor spending for the rural tourist market in North Portugal. Tourism Economics, 11(4), 555-569. DOI:

Kieschnich, R., e MCCullough, B. D. (2003). Regresion analysis of variates observed on (0,1): percentages, proportions and fractions. Statistical Modelling, 3, 193-213.

Man, R., e Liping, A. (2004). Information search behavior and tourist characteristics. Journal of Travel & Tourism Marketing, 17(2-3), 15-25.

Mok, C., e Iverson, J. (2000). Expenditure-Based segmentation: Taiwanese tourist to Guam. Tourism Management, 21(3), 299-305. DOI:

Organización Mundial del Turismo. (2018): Why tourism? Tourism – An economic and social phenomenon. Madrid: Organización Mundial del Turismo.

Rodríguez, S., Dávila, C., Rodríguez, A., e Tejera, M. (2017). Factores asociados a los nuevos canales de compra del vuelo de turismo de sol y playa relacionados con TIC. Revista de Análisis Turístico, 24(2), 41-53. DOI:

Sainaghi, R. (2012). Tourist expenditures: The state of the art. Anatolia, 23(2), 217-233.

Salinas-Rodríguez, A., Pérez-Nuñez, R., e Ávila-Burgos, M., (2006). Modelos de regresión para variables expresadas como una proporción continua. Salud Pública de México, 48(5), 395-404. Recuperado de

Smithson, M., e Verkuilen, J., (2006). A better lemon squeezer? Maximum-likelihood regression with betadistributed dependent variables. Psychological Methods, 11(1), 54-71. DOI:

Tyrrell, T., e Johnston, R. (2001). A framework for assessing direct economic impacts of tourist events: Distinguishing origins, destinations, and causes of expenditures. Journal of Travel Research, 40(1), 94-100. DOI:

Wang, Y., e Davidson, M. (2010). A review of micro-analyses of tourist expenditure. Current Issues in Tourism, 13(6), 507-524.