Valuing tourism demand attributes to guide climate change adaptation measures efficiently: The case of the Spanish domestic travel market

Bujosa, Angel; Riera, Antoni; Figuerola, Catalina M. Torres

doi:10.1016/j.tourman.2014.09.023

Cited by 53 publications

(28 citation statements)

References 46 publications

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“…This allows the estimation of demand for multiple sites, substitution across sites, and is consistent with utility maximisation theory (Phaneuf & Smith, 2005). Recent applications include domestic tourism in Spain (Bujosa, Riera, & Torres, 2015), Japan (Wu, Zhang, & Fujiwara, 2011) and China (Yang, Fik, & Zhang, 2013), angling in New Zealand (Mkwara, Marsh, & Scarpa, 2015) and lake recreation in Iowa (Smirnov & Egan, 2012).…”

Section: Introductionmentioning

confidence: 60%

Cumulative attraction and spatial dependence in a destination choice model for beach recreation

2018

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Section: Introductionmentioning

confidence: 60%

Cumulative attraction and spatial dependence in a destination choice model for beach recreation

2018

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“…Por su parte, también se han desarrollado estudios que consideran los efectos de largo plazo que pueda tener el cambio climático en los patrones de flujo turístico (Bujosa, Riera & Torres, 2015), de modo que para el desarrollo de un turismo sostenible se deben evaluar las vulnerabilidades que implican los factores climáticos, económicos, sociales y políticos del entorno (Dogru, Marchio, Bulut & Suess, 2019).…”

Section: Gráfico 2 Contribución Directa En Miles De Millones De Usd unclassified

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2019

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“…Moreover, research has shown that not only visitors are interested in the quality of natural resources and environment conditions in general on a site, but also sometimes they are very attracted to a specific combination of the park attributes (Christie et al, 2007; Deng et al, 2002; Parsons and Kealy, 1992; Wang, 2014). Thus, understanding tourist’s preferences toward the park’s attributes which involve both natural environment and management aspects are the indispensible information for park management (Bujosa et al, 2015; Hall and Page, 2014; Johansen, 1988; Lim, 1999; Papatheodorou, 2001).…”

Section: Introductionmentioning

confidence: 99%

The effects of improving coastal park attributes on the recreation demand—A case study in Dalian China

2016

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In this study, we use an estimation method of combining revealed preference (RP) with stated preference (SP) to measure the effects of park attribute improvement on the tourism demand and recreation benefits. Three categories of attributes are taken into account including nature, management, and economics. Five model estimations are made using RP, SP, and pooled data, respectively. The random effects negative binomial model is used with the SP data, and the mixed negative binomial model is used with the pooled data. The economic value of each specific park attribute improvement is measured by visitors’ marginal willingness to pay that directly addresses the issues of optimal attribute combinations beyond the observed range and scenarios. We survey a sample of the participants on the sites to obtain both revealed and stated behavior data for trips based on a management-relevant park attribute improvement and different park attribute combinations. Recreation demand models are used to derive total consumer surplus. The results indicate that the congestion reduction in the park has a relatively weak effect on the tourist demand, whereas trash reduction and improved seawater visibility appear to have the most important value to the tourists. Furthermore, the estimated consumer surplus at the present park conditions is about US$85 per recreation trip, and this consumer surplus will increase to US$101 as the quality of the park attribute improved. The overall park attribute improvement will increase recreational trip by 1.22 times per person per year from the present condition, and the net increase in consumer surplus reaches to US$205 per participant per year as a result of overall park attribute improvement.

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Valuing tourism demand attributes to guide climate change adaptation measures efficiently: The case of the Spanish domestic travel market

Cited by 53 publications

References 46 publications

Cumulative attraction and spatial dependence in a destination choice model for beach recreation

Cumulative attraction and spatial dependence in a destination choice model for beach recreation

Untitled

The effects of improving coastal park attributes on the recreation demand—A case study in Dalian China

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