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Predicting Low-Carbon Travel Behavior: A Modified Theory of Planned Behavior Model from Taiwan

Predicting Low-Carbon Travel Behavior: A Modified Theory of Planned Behavior Model from Taiwan
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Author(s): Nae-Wen Kuo (National Taiwan Normal University, Taiwan)and You-Yu Dai (National Chiayi University, Taiwan)
Copyright: 2015
Pages: 22
Source title: Strategic E-Commerce Systems and Tools for Competing in the Digital Marketplace
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-4666-8133-0.ch005

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Abstract

The activities of the tourism industry and tourists cause many of the world's carbon dioxide emissions. To reduce carbon emissions resulted from travel, low-carbon tourism has becoming an urgent issue. Little research has paid attention to low-carbon travel behavior of tourists, and their influence factors are still unclear. Therefore, the purpose of this chapter is to establish a modified Theory of Planned Behavior model to predict which factors may impact low-carbon travel behaviors. In this study, an effective sample of 387 Taiwanese was collected in the first “ECO Taiwan Expo.” Through a rigorous structural equation modeling process, the results show that the respondents are independently involved in low-carbon tourism, rather than influenced by significant others or groups. In addition, past travel experiences could improve travelers' perceived behavioral control and behavioral intention toward low-carbon travel behavior. Finally, the moderating effect of perceived behavioral control is evidenced between behavioral intention and preferred behavior in this study.

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