Assessing the attractiveness of tourism resources in Noto using the best–worst scaling and discrete choice experiment methods: further utilization of satoyama and satoumi for tourism
Takahiro Tsuge (),
Nisikawa Usio and
Makiko Nakano
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Takahiro Tsuge: Sophia University
Nisikawa Usio: Kanazawa University
Makiko Nakano: Nagoya University
International Journal of Economic Policy Studies, 2023, vol. 17, issue 2, No 6, 446 pages
Abstract:
Abstract In recent decades, the degradation of satoyama and satoumi has posed significant problems in many areas. To address this issue, it is crucial to sustain farming in satoyama and fishing in satoumi, while actively involving human intervention. An effective strategy includes using satoyama and satoumi for tourism should be considered. Against this background, the current study assesses the attractiveness of various satoyama and satoumi applications as tourism resources in Noto, utilizing two types of preference analysis methods: best–worst scaling and discrete choice experiment. These analysis methods revealed that the direct experience of agriculture and fishing in these areas were not highly valued, while opportunities to enjoy and purchase local food from satoyama and satoumi proved highly attractive as tourism resources. The results also indicated that preferences for agricultural and fishing experiences were heterogeneous among respondents. Therefore, additional analysis was conducted to identify individuals who rated these experiences relatively higher. Based on these findings, suggestions are formulated for the target audience, to promote agricultural and fishing experiences. In addition, we discuss the possibility of the way of stopping the degradation of satoyama and satoumi.
Keywords: Satoyama and satoumi; Noto; Best–worst scaling; Discrete choice experiment; Interdisciplinary research (search for similar items in EconPapers)
JEL-codes: Q26 Q57 Z33 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)
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DOI: 10.1007/s42495-023-00111-1
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