IMPACTS OF RESIDENTS' PERCEPTIONS OF PUBLIC INVOLVEMENT IN THE COMMUNITY ON TOURISM PARTICIPATION IN SUSTAINABLE URBAN DEVELOPMENT

Chien Ting Chiang

Department of Leisure and Sport Management

Cheng Shiu University, Kaohsiung city, Taiwan

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Lung-Yu Li (corresponding author)*

Department of Computer Science and Information Engineering

Cheng Shiu University, Kaohsiung city, Taiwan

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Yun Wang

The Department of Fashion Design and Management, College of management, National Pingtung University of Science and Technology, Pingtung, Taiwan

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Abstract

Understanding tourists' perceptions of community tourism participation can give insight into tourists' general attitudes toward the development of local tourism. A theoretical model of community-based sustainable tourism is established to explain significant components of resident involvement (environmental dimensions; socio - cultural dimensions; socio-economic dimensions) and these three components in terms of individual involvement in the development of the rural services sector.

This study examined the interactive model of resident perceptions of community- based tourism involvement at the area of local villages in the Liudui Hakka Cultural Park, and Taiwan Indigenous Culture Park, Pingtung in Taiwan. A questionnaire survey was conducted to apply the SPSS 21.0 software to recognize the proposed framework through descriptive statistical analysis, factorial analysis, and multiple regression model.

Understanding residents' various perceptions of tourism participation in the influence of participation in tourism development can lead to progress in managing tourism growth. Empirical results indicate that an increase in the environmental, socio-cultural, and socio-economic dimensions of tourism participation would result in a greater attitude towards the community's contribution. The proposed framework in this study can help practicing managers understand an improved insight into the real needs of community-based tourism, the matter that could lead to their tourism involvement.

Keywords: tourism involvement, residents’ identification, participation of community; confirmatory factor analysis; multiple regression model

 

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