http://scholars.ntou.edu.tw/handle/123456789/26774| 標題: | Reimagining coastal tourism through satoumi: community-based coastal governance around indigenous communities of eastern Taiwan | 作者: | Chen, Jyun-Long Jian, Xiang-Nong Hsiao, Yao-Jen |
關鍵字: | Satoum;Choice experiment method;Community-based tourism;Coastal Communities;Indigenous ecological knowledge | 公開日期: | 2026 | 出版社: | ELSEVIER GMBH | 卷: | 93 | 起(迄)頁: | 13 | 來源出版物: | JOURNAL FOR NATURE CONSERVATION | 摘要: | Coastal settlements with abundant natural assets can translate conservation ideals into livelihood-based tourism through the Satoumi paradigm, which prizes the co-evolution of people and seascapes. Focusing on Fengbin Township, Hualien, this study used a tailored choice experiment to quantify how visitors negotiate trade-offs embedded in community-based governance, including travel depth, guide mechanisms, harvesting controls, coastal recreation facilities, and funds. Attributes and levels were distilled from field observations, expert interviews, and a review of Satoumi case studies, then estimated with Conditional Logit and Random-Parameter Logit models. Results show visitors are willing to pay NT$ 102 for tours grounded in Indigenous ecological knowledge and NT$ 70 for harvest access restricted to local residents or guided tours, while they consistently reject mass-tourism formats, heavy-footprint facilities, and blanket no-take zones that disregard resident livelihoods. These preference patterns reveal that market demand dovetails with adaptive, community-driven management, providing both social licence and financial rationale for Satoumi-style stewardship. The evidence offers concrete guidance for policymakers: align coastal zoning, permitting, and incentive schemes with Indigenous knowledge systems and visitor preferences to safeguard biodiversity and sustain local economies, turning sustainability rhetoric into scalable practice. |
URI: | http://scholars.ntou.edu.tw/handle/123456789/26774 | ISSN: | 1617-1381 | DOI: | 10.1016/j.jnc.2026.127359 |
| 顯示於: | 應用經濟研究所 |
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