旅游
乡村旅游
营销
业务
住宿
晋升(国际象棋)
娱乐
目的地
另类旅游
生态旅游
可持续旅游
偏爱
独创性
支付意愿
旅游地理学
地理
经济
心理学
政治学
政治
考古
神经科学
微观经济学
法学
社会心理学
创造力
作者
Tim Fichter,Concepción Román
出处
期刊:Tourism Review
[Emerald Publishing Limited]
日期:2022-11-07
卷期号:78 (3): 778-793
被引量:15
标识
DOI:10.1108/tr-05-2022-0225
摘要
Purpose This paper aims to examine rural tourism preferences as an alternative niche market to mass tourism destinations. The analysis discusses the differences in perceptions and willingness to pay (WTP) for various packages of rural tourism activities in Gran Canaria Island among residents and non-residents. Design/methodology/approach The analysis is based on a convenience sample of potential young customers who are familiar with outdoor recreational activities in nature. This study considers a discrete choice experiment that includes the type of accommodation as well as four types of rural tourism activities: active, passive, cultural and aquatic. The degree of preference for the considered attributes is obtained from the estimation of different discrete choice models. Findings Results reveal that the inclusion of the investigated attributes in holiday packages increases tourists’ utility, which motivates the promotion of rural tourism for young residents and non-residents. The most significant differences in perceptions of attributes between residents and non-residents were found in the activities of diving/snorkelling and stargazing, as well as the type of accommodation and package price. Practical implications This study will contribute to a better understanding of an alternative tourism market which will help key stakeholders in the tourism sector to better serve this important segment of the industry and to encourage more sustainable tourism in the future. Originality/value To the best of the authors' knowledge, this is the first study evaluating the WTP for rural tourism packages as a more sustainable alternative in mass tourism destinations and taking into account resident vs non-resident perceptions.
科研通智能强力驱动
Strongly Powered by AbleSci AI