2019
DOI: 10.1177/1354816619885236
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Economic valuation of recreational attributes using a choice experiment approach: An application to the Galapagos Islands

Abstract: Despite the increasing number of visitors to Galapagos National Park, the tourism industry pays little attention to the distinct preferences of tourists toward park attributes, including both its natural resources and managerial emphasis. To “monetize” the benefits of these attributes requires utilizing nonmarket valuation techniques. Using a stated preference questionnaire, we estimated the economic value of the park’s recreational attributes. The following five attributes were selected: endangered species, p… Show more

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Cited by 10 publications
(4 citation statements)
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“…In the case of tourism, discrete choice models have been applied in different areas (see the review by Crouch & Louviere, 2000); for example, to model individual preferences on attributes of the demand for tourism goods or services (Boto‐García, Mariel, Pino, & Alvarez, 2020; Chen, Masiero, & Hsu, 2019; Masiero, Heo, & Pan, 2015) the choice of destinations (Huybers, 2003), the environmental and recreational value of cultural or natural heritage (Lee, Mjelde, Kim, Lee, & Choi, 2019; Lupu, Padhi, Pati, & Stoleriu, 2020; Perez Loyola, Wang, & Kang, 2019), or the effects of certain policies, such as environmental conservation policies (see for example, Bocci, Sohngen, Lupi, & Milian, 2020; Xu et al, 2020). Nevertheless, Rosselló and Sansó (2017) noted two difficulties in applying choice models to assess the effect of a tax increase on the international demand for a tourist destination: (a) the use of the distance variable as an indicator of price, makes it impossible to analyse price increases as a result of the tax, and (b) the difficulty of having a representative sample of international tourists with information about alternative destinations.…”
Section: Introductionmentioning
confidence: 99%
“…In the case of tourism, discrete choice models have been applied in different areas (see the review by Crouch & Louviere, 2000); for example, to model individual preferences on attributes of the demand for tourism goods or services (Boto‐García, Mariel, Pino, & Alvarez, 2020; Chen, Masiero, & Hsu, 2019; Masiero, Heo, & Pan, 2015) the choice of destinations (Huybers, 2003), the environmental and recreational value of cultural or natural heritage (Lee, Mjelde, Kim, Lee, & Choi, 2019; Lupu, Padhi, Pati, & Stoleriu, 2020; Perez Loyola, Wang, & Kang, 2019), or the effects of certain policies, such as environmental conservation policies (see for example, Bocci, Sohngen, Lupi, & Milian, 2020; Xu et al, 2020). Nevertheless, Rosselló and Sansó (2017) noted two difficulties in applying choice models to assess the effect of a tax increase on the international demand for a tourist destination: (a) the use of the distance variable as an indicator of price, makes it impossible to analyse price increases as a result of the tax, and (b) the difficulty of having a representative sample of international tourists with information about alternative destinations.…”
Section: Introductionmentioning
confidence: 99%
“…The CE is a stated preference-based methodology to estimate the marginal willingness to pay (MWTP) using a multidimensional approach [ 53 ]. Since this method can estimate the MWTP for each attribute, such as tourism facilities and services, it has been used in various tourism studies to evaluate the preference of tourists [ 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 ]. Therefore, CE was selected as the analysis method for understanding tourists’ preferences for child-friendly tourism facilities and services and developing a tourism destination management strategy for young children.…”
Section: Methodsmentioning
confidence: 99%
“…The total utility of visitors is the result of the joint action of multiple recreational attributes. CEM carries a higher information load, which helps to assess multiple attributes through a single experimental design [37,38].…”
Section: The Utility-based Theoretical Framework Of Tccmentioning
confidence: 99%