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Estimating the effect of overcrowding on tourist attraction: The case of Canary Islands

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  • Santana-Jiménez, Yolanda
  • Hernández, Juan M.

Abstract

This paper analyzes the influence of the tourist’s perception of overcrowding on a destination’s appeal. To do so, the use of the population density estimates is suggested to measure degrees of overcrowding in a tourist area, which in this paper is undertaken using panel data analysis. A tourist demand model is estimated in the study case, which consists of a number of resorts located in five islands of the same archipelago, Canary Islands. This distinctive case of close but different destinations makes it possible to isolate variations in demand due to changes in population density and other supply-side factors from other demand-oriented ones. Annual tourists coming from two different European countries to the islands were considered as endogenous variables. The empirical findings provide an indicator of each island’s maximum capacity and test some policy measures laid down to extend these limits. The estimation of the effect of population density on demand can serve as a useful tool for planning the future development in destinations where tourist attraction is mainly based on the natural values of the site.

Suggested Citation

  • Santana-Jiménez, Yolanda & Hernández, Juan M., 2011. "Estimating the effect of overcrowding on tourist attraction: The case of Canary Islands," Tourism Management, Elsevier, vol. 32(2), pages 415-425.
    • Handle: RePEc:eee:touman:v:32:y:2011:i:2:p:415-425
    DOI: 10.1016/j.tourman.2010.03.013
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    2. East, Duncan & Osborne, Patrick & Kemp, Simon & Woodfine, Tim, 2017. "Combining GPS & survey data improves understanding of visitor behaviour," Tourism Management, Elsevier, vol. 61(C), pages 307-320.
    3. Eugenio-Martin, Juan L., 2011. "Assessing social carrying capacity of tourism destinations with random utility models/Evaluación de la capacidad de carga social de los destinos turísticos con modelos de utilidad aleatoria," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 29, pages 881-902, Diciembre.
    4. Moisés Simancas Cruz & María Pilar Peñarrubia Zaragoza, 2019. "Analysis of the Accommodation Density in Coastal Tourism Areas of Insular Destinations from the Perspective of Overtourism," Sustainability, MDPI, vol. 11(11), pages 1-19, May.
    5. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "“Regional tourism demand forecasting with machine learning models: Gaussian process regression vs. neural network models in a multiple-input multiple-output setting"," IREA Working Papers 201701, University of Barcelona, Research Institute of Applied Economics, revised Jan 2017.
    6. Adongo, Charles A. & Taale, Francis & Adam, Issahaku, 2018. "Tourists' values and empathic attitude toward sustainable development in tourism," Ecological Economics, Elsevier, vol. 150(C), pages 251-263.
    7. Banos-González, Isabel & Martínez-Fernández, Julia & Esteve-Selma, Miguel Ángel, 2015. "Dynamic integration of sustainability indicators in insular socio-ecological systems," Ecological Modelling, Elsevier, vol. 306(C), pages 130-144.

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