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Micro-economic determinants of tourist expenditure: A quantile regression approach

机译:游客支出的微观经济决定因素:分位数回归方法

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We assess the effect of the main determinants of tourist expenditure by applying both linear and quantile regression models to individual micro data collected by a survey addressed to non-resident tourists who spent their holidays in Sardinia during the period April-October 2012. We find that, in addition to income and foreign nationality, tourist expenditure is crucially driven by trip-related (party size, stay length, accommodation, sea and sun typology and transport modality) and psychographic characteristics (repeated visits and holiday motivations). Moreover, our results indicate that the effects vary with respect to the expenditure component and the level of spending, thus confirming the high complexity of the tourism product. Higher positive effects were found for heavy spenders in the case of foreign nationality, previous visits and notoriety-motivated holidays, while party size and the number of visited sites contribute to reducing the level of expenditure for light-spending tourists. (C) 2015 Elsevier Ltd. All rights reserved.
机译:我们通过对针对在2012年4月至10月期间在撒丁岛度假的非居民游客的调查收集的单个微观数据应用线性和分位数回归模型,来评估游客支出的主要决定因素的影响。我们发现, ,除了收入和外国国籍外,游客支出还受到旅行相关因素(聚会的人数,住宿时间,住宿,海洋和阳光的类型以及运输方式)和心理特征(重复访问和度假动机)的驱动。此外,我们的结果表明,影响在支出构成和支出水平方面有所不同,从而证实了旅游产品的高度复杂性。在外国国籍,以前的探访和以恶名昭著的假期为例,对高消费者发现了更高的积极影响,而聚会的规模和参观地点的数量有助于减少低消费游客的支出水平。 (C)2015 Elsevier Ltd.保留所有权利。

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