Factors Influencing Community Segmentation and Participation in Ecotourism of Bali Barat National Park.
This study provides an in-depth analysis of the factors influencing local community segmentation and participation in ecotourism initiatives within Bali Barat National Park, a protected area. Using logistic regression, the analysis explores how stakeholder engagement, operational performance, strate...
| Publicado en: | Pertanika Journal of Social Sciences & Humanities Vol. 33; no. 3; pp. 1287 - 1317 |
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| Autores principales: | , , , , , |
| Formato: | Artículo |
| Publicado: |
Universiti Putra Malaysia
Jun2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=186323850&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 186323850 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01287702 TKQ jtl: Pertanika Journal of Social Sciences & Humanities issn: 01287702 maglogo: N pubinfo: dt: Jun2025 vid: 33 iid: 3 pid: 20751 pub: Universiti Putra Malaysia artinfo: ui: 186323850 10.47836/pjssh.33.3.16 ppf: 1287 ppct: 30 formats: fmt: @attributes: type: P size: 5.1MB tig: atl: Factors Influencing Community Segmentation and Participation in Ecotourism of Bali Barat National Park. aug: au: I. Wayan Koko Suryawan Sapta Suhardono Vania Dian Gunawan Chun-Hung Lee Van Viet Nguyen Ari Rahman affil: Department of Environmental Engineering, Faculty of Infrastructure Planning, Universitas Pertamina, Jakarta, 12220, Indonesia Center for Environmental Solution (CVISION), Universitas Pertamina, Jakarta, 12220, Indonesia Center for Interdisciplinary Research on Ecology and Sustainability, College of Environmental Studies and Oceanography, National Dong Hwa University, Hualien, 97401, Taiwan Environmental Sciences Study Program, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Surakarta 57126, Indonesia Department of Humanity and Environmental Science Program, College of Environmental Studies and Oceanography, National Dong Hwa University, Hualien 97401, Taiwan Department of Natural Resources and Environmental Studies, College of Environmental Studies and Oceanography, National Dong Hwa University, Hualien 97401, Taiwan su: Ecotourism Community involvement Logistic regression analysis Protected areas Socioeconomic factors Tourism impact sug: subj: Ecotourism Community involvement Logistic regression analysis Protected areas Socioeconomic factors Tourism impact keyword: Community engagement ecotourism logistic regression protected area management socio-economic incentives tourism impact ab: This study provides an in-depth analysis of the factors influencing local community segmentation and participation in ecotourism initiatives within Bali Barat National Park, a protected area. Using logistic regression, the analysis explores how stakeholder engagement, operational performance, strategic importance, economic incentives, community tenure, and tourism occupancy predict active involvement. The results indicate that stakeholder engagement is the most significant positive predictor, suggesting that fostering community involvement is key to enhancing participation. Operational performance, particularly in asset management and organizational flexibility, also has a notable impact, though its influence is slightly weaker. In contrast, the strategic importance assigned to ecotourism activities has no significant impact on participation decisions. Economic incentives, such as earning above the minimum wage, play a critical role, with a high odds ratio indicating a strong likelihood of individuals. Community tenure, or the length of residency, shows a positive correlation with participation, highlighting the importance of long-term relationships in fostering engagement in ecotourism. The most notable finding is the significant effect of tourist-related occupancy on participation, with the odds ratio suggesting that visible benefits from ecotourism act as a powerful incentive for community involvement. The model's predictive accuracy (70.88%) and the Nagelkerke R Square value (0.603) indicate a strong fit and reliability. These findings provide valuable insights for developing targeted ecotourism policies that align with community characteristics, aiming to maximize engagement and promote sustainable practices within protected areas. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Pertanika Journal of Social Sciences & Humanities is the property of Universiti Putra Malaysia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Pertanika Journal of Social Sciences & Humanities holder: Universiti Putra Malaysia dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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