Determinants of trip choice, satisfaction and loyalty in an eco-tourism destination: a modelling study on the Shiretoko Peninsula, Japan

Romão, João; Neuts, Bart; Nijkamp, Peter; Shikida, Asami

doi:10.1016/j.ecolecon.2014.07.019

Cited by 48 publications

(32 citation statements)

References 17 publications

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“…Therefore, CEM can better solve the problem of comparing profit and loss between the multiple attributes of ecosystem services, and it can reveal public preferences for each eco-functional attribute of ecosystem services [34]. Thus, CEM has been widely used for non-market valuation, including species conservation [35][36][37][38][39], wetland recovery [40][41][42][43][44], ecotourism preferences [45][46][47][48][49][50], tourists' preferences for land, the environmental functions of national parks [21,[39][40][41]51,52], and the exploration of methods for altering specific ecosystem services to affect economic benefits [34,[53][54][55][56][57][58].…”

Section: Introductionmentioning

confidence: 99%

Economic Valuation of Green Island, Taiwan: A Choice Experiment Method

Chen

2019

Sustainability

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The evaluation of ecological security and ecosystem services is now a core issue in the field of natural and environmental resources. Quantifying the economic value of island ecosystem services can inform policy decisions that affect the island and help justify expenditures on ecosystem service improvements. This study investigates the preferences of residents and tourists regarding Green Island and estimates willingness-to-pay (WTP) values for island ecosystem services using a choice experiment. The results indicate significant differences between the preferences of residents and tourists regarding island environmental resources. Therefore, based on the multiple attributes and ecosystem services, this study formulated three assessment schemes: “environmental protection”, “recreational development”, and “integrated operation and management”. Based on our analysis of the problems reflected in the aforementioned valuation models, we recommend that policy makers refer to environmental attribute preferences to create statements or advertisements targeting relevant audiences when planning island development. This paper contributes to the literature by demonstrating how the economic valuation of island ecosystem services can help design and target island conservation policies in order to maximize welfare.

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Section: Introductionmentioning

confidence: 99%

Economic Valuation of Green Island, Taiwan: A Choice Experiment Method

Chen

2019

Sustainability

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“…Accordingly, understanding the tourists' preferences toward product and service attributes is critically important. Romao et al (2014) found that in the natural concept of tourism, tourists were more satisfied with the destination landscape. It can be suggested that each tourism destination conveys a different attraction that can influence tourists' image.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Visiting Intention: A Perspective of Destination Attractiveness and Image in Indonesia Rural Tourism

Yacob

Johannes

Qomariyah

2019

Sriwijaya Int. J. of Dynamic Eco. And Buss.

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The purpose of this study is to investigate the effect of destination attractiveness and destination image on visiting intention in Indonesia rural tourism. Data were collected from tourist are visiting rural tourism in Kerinci district, Jambi Province (Indonesia). The research finding is the significant impact of destination attractiveness through destination image towards development of visiting intention. This is the first study to examine the impact of destination attractiveness trough destination image to visiting intention in Lempur as a rural tourism at Jambi Province. This study used the three variables important factors to develop tourism destination where one of potential object destination existed, meanwhile destination image from the tourism influenced their interest to visit. A main reason destination attractiveness is one of key factors to attract tourist what they want and need. Secondly, an important to create nature tourism achievement perspective between local people and government. Third, also to increase a public awareness of their effort an environment protecting and preserving it as economic value thru rural tourism.

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“…This satisfaction of visitors also represents a crucial factor of destination sustainability and competitiveness (Iniesta-Bonillo, Sánchez-Fernández, & Jiménez-Castillo, 2016; Jarvis, Stoeckl, & Liu, 2016;Sukiman, Omar, Muhibudin, Yussof, & Mohamed, 2013), destination loyalty (S.-C. Chen, 2015;Cong, 2016;Matzler, Füller, & Faullant, 2007;Romão, Neuts, Nijkamp, & Shikida, 2014;Vildová et al, 2015), destination image (Loi, So, Lo, & Fong, 2017;Veasna, Wu, & Huang, 2013;Wu & Kim, 2017) and generally of an overall success of tourism destinations. From environmental aspect of sustainability, it is important to provide full information about the green practices in order to raise public awareness towards environmental issues (Mazhenova, Choi, & Chung, 2016).…”

Section: Visitors' Satisfactionmentioning

confidence: 99%

“…There are many different methods that have been used in the research of visitor satisfaction and data analyses for this purposes. Above basic statistics it is possible to mention for example structural equation modelling (del Río, Agüera, Cuadra, & Morales, 2017;Romão et al, 2014), path analysis (Matzler et al, 2007), formative modelling (Cong, 2016) or common statistical method, such as paired/independent-samples t-test, one-way analysis of variance (ANOVA), regression and correlation (Agyeiwaah, Adongo, Dimache, & Wondirad, 2016;Parola, Satta, Penco, & Persico, 2014), Item-Objective Congruency (IOC) index (Choovanichchannon, 2015), exploratory factor analyses (EFAs), principal components analyses with Varimax rotation and MANOVA (Jensen, Li, & Uysal, 2017) or hybrid text mining methodology using artificial intelligence (Kim, Park, Yun, & Yun, 2017).…”

Section: Visitors' Satisfactionmentioning

confidence: 99%

Satisfaction of European Tourists – Benchmarking of EU Countries

Štumpf¹,

Vojtko²,

Valtrová³

2018

Glob Bus Financ Rev

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High level of satisfaction of tourists is one of the most common goals of sustainable tourism destinations. The general assumption is that higher level of tourists' satisfaction leads to a higher tourists' loyalty to destinations. This research looks on this relationship from macro level of European Union (EU) countries. We have used data from Eurobarometer-Preferences of Europeans towards Tourism between 2013 and 2016to statistically compare and analyse several satisfaction indicators of European tourists incoming the chosen EU countries. The results show significant differences amongst countries as destinations and could be used to identify strengths and weaknesses of EU countries as tourism destinations. The robust data set enables the benchmarking of EU countries as tourism destinations from the tourists' satisfaction point of view. This study shows the ranking of the EU countries in several dimensions of tourists' satisfaction.

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Determinants of trip choice, satisfaction and loyalty in an eco-tourism destination: a modelling study on the Shiretoko Peninsula, Japan

Cited by 48 publications

References 17 publications

Economic Valuation of Green Island, Taiwan: A Choice Experiment Method

Economic Valuation of Green Island, Taiwan: A Choice Experiment Method

Visiting Intention: A Perspective of Destination Attractiveness and Image in Indonesia Rural Tourism

Satisfaction of European Tourists – Benchmarking of EU Countries

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