Applying the Theory of Planned Behavior to Predict Low-Carbon Tourism Behavior

Kuo, Nae-Wen; Dai, You-Yu

doi:10.4018/jthi.2012100103

Cited by 30 publications

(18 citation statements)

References 28 publications

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“…63,80,81 The existing LCBI scale is relatively simple, and its description is broad and general. 80,[82][83][84] The LCBI scale used in this study was slightly modified based on the pro-environment behavior scale. As LCBI is a prerequisite of LCBs, LCBs can be understood as a result of an individual's LCBI.…”

Section: Materials Methods and Results Measuresmentioning

confidence: 99%

Does Fear of the New Coronavirus Lead to Low-Carbon Behaviors: The Moderating Effect of Outcome Framing

Liu¹,

Shao²,

Wang³

2021

RMHP

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Purpose: Air pollution has been found to aggravate the infection and mortality of COVID-19, leading to increasing attention on pro-environmental behaviors. Considering individuals' psychological distance from COVID-19, this research aims to examine the relationship between fear of COVID-19, air pollution concern, and low-carbon behaviors. Methods: Two survey-based studies were conducted in this research. Study 1 consisted of 323 participants and examined the relationships between psychological distance (PD) from COVID-19, fear of COVID-19, air pollution concern, and low-carbon behaviors. Study 2 identified the moderating effect of outcome framing using an intergroup experiment in which 304 participants were randomly assigned to two groups (gain framing vs loss framing). Results:The results of Study 1 showed that the closer the PD was, the higher the fear was. Fear of COVID-19 and low-carbon behaviors were positively associated. Additionally, air pollution concern acted as a mediator in their relationship. The results of the moderating effect test in Study 2 showed that fear and air pollution concern led to higher low-carbon behavioral intention within gain framing than within loss framing. Conclusion:This research revealed that personal fear of public health emergencies will lead to environmental pollution concern and pro-environmental behaviors, and information from the outside plays a moderating role. The results provide implications for policy advocacy of the health and environmental sectors and for guiding people's low-carbon behaviors.

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Section: Materials Methods and Results Measuresmentioning

confidence: 99%

Does Fear of the New Coronavirus Lead to Low-Carbon Behaviors: The Moderating Effect of Outcome Framing

Liu¹,

Shao²,

Wang³

2021

RMHP

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“…Although residents may be sympathetic to pollution-free travel, many potential users give more importance to travel distance [9], weather conditions [10], convenience [11] and personal values [12]. Based on the theory of planned behavior [13–15], some studies proposed that factors such as environmental awareness, attitude, perceived behavioral control, subjective norms and guiding language can positively affect travel intentions and actual behavior[16, 17]. To date, few studies have specifically addressed the factors underlying the decision-making process behind shared bicycle use.…”

Section: Introductionmentioning

confidence: 99%

Psychosocial factors influencing shared bicycle travel choices among Chinese: An application of theory planned behavior

Xin

Wang

et al. 2019

PLoS ONE

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The worldwide rise of shared bicycle use has changed the way people travel. Here we analyze shared bicycle use from the perspective of the theory of planned behavior, and propose a model to investigate factors influencing shared bicycle usage in China. A total of 211 shared bicycle users selected from 28 provinces throughout China completed a self-reported survey. Structural equation modelling (SEM) was used to delineate the pathway from shared bicycle usage. The SEM model demonstrated that: (1) shared bicycle use intention was significantly associated with four variables, namely travel attitude(β = 0.491, t = 24.569), social norms(β = 0.149, t = 6.771), travel habits(β = 0.146, t = 7.226) and perceived behavioral control (β = 0.190, t = 11.110); (2) shared bicycle use behavior was significantly affected by shared bicycle use intention(β = 0.406, t = 15.936), and also by travel habits(β = 0.320, t = 11.921); (3) shared bicycle use behavior was also affected by demographic variables (gender, age) and situational factors (distance). The conclusions of this study provide useful data for operators of bicycle services and government policy makers.

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“…Some research [88,89] has revealed the decision-making process for sustainable tourism. Studies [90,91] have stated that the social networking site (SNS) has a large effect on tourist behavior.…”

Section: Intention To Select Sustainable Destinationsmentioning

confidence: 99%

Social Media-Based Content towards Image Formation: A New Approach to the Selection of Sustainable Destinations

et al. 2021

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When addressing the ever-increasing role that social media plays in generating a clear image of the travel destination chosen by tourists, the research and specialty literature tends to be rather limited. Despite an increase in social media-generated content, the process is not yet fully understood, although research suggests the importance of two different factors (i.e., tour-operator-generated content and user-generated content) in influencing destination image formation. In this regard, the present paper aims to examine the most significant factors currently affecting the potential behavior of travelers towards the selection of sustainable destinations. What is more, another purpose of this paper is to explore the effects that tour-operator-generated content and user-generated content have upon the formation of the overall mediating destination image through cognitive and affective destination images. For the current analysis, a structural equation modeling (SEM) method was used in order to test the conceptual model. Data from Shanghai, China (n = 425) were used. The results demonstrate and establish that travel information sources (i.e., tour-operator-generated content and user-generated content) have a positive effect on destination image formation. The analytical results also revealed that in order to select a sustainable destination, travelers are influenced by tour-operator-generated content, as well as by user-generated content, with the effect of the latter being more important and influential. Travelers’ use of social media content has played a key role in the formation of the overall destination image through the mediating effect of cognitive and affective destination images. This research thus provides valuable theoretical and practical implications for academics and practitioners alike, implications which are valuable for the fields of destination marketing and management. Furthermore, practitioners of the management of sustainable destinations can thus make use of the results throughout the entire decision-making process.

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Applying the Theory of Planned Behavior to Predict Low-Carbon Tourism Behavior

Cited by 30 publications

References 28 publications

Does Fear of the New Coronavirus Lead to Low-Carbon Behaviors: The Moderating Effect of Outcome Framing

Does Fear of the New Coronavirus Lead to Low-Carbon Behaviors: The Moderating Effect of Outcome Framing

Psychosocial factors influencing shared bicycle travel choices among Chinese: An application of theory planned behavior

Social Media-Based Content towards Image Formation: A New Approach to the Selection of Sustainable Destinations

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