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Cultural tourism and temporary art exhibitions in Italy: a panel data analysis

机译：意大利的文化旅游和临时艺术展览：面板数据分析

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The main aim of this work is to study the relationship between cultural tourism and temporary art exhibitions by means of a panel data analysis. In literature, the capability of cultural attractions, e.g. art exhibitions, of increasing the tourist flow has not been investigated yet and we start to fill this gap. Our data set consists of monthly observed variables on 52 Italian provinces over the period 2003-2007. Our response variable is the amount of hotel arrivals and the set of covariates includes the amount of visitors of temporary exhibitions of ancient, modern and contemporary art plus a set of variables that contribute to tourist arrivals, like the kind of destination, the attraction capability of each province and so on. Of particular interest is to discover the art sector that has the strongest influence on the tourist flow towards Italy by keeping into account both the temporal dynamic and the heterogeneity of the Italian provinces. To this aim, we discuss the static and dynamic error component regression models from both the theoretical and practical point of view. The estimated two-way fixed effects regression models suggest that all the three sectors contribute to the tourist flow but in a quite different fashion. On the basis of our analysis we derive some indications for the policy maker in the field of cultural tourism.
机译：这项工作的主要目的是通过面板数据分析研究文​​化旅游与临时艺术展览之间的关系。在文学中，文化景点的能力，例如艺术展览会并未增加游客流量，因此我们开始填补这一空白。我们的数据集包含2003-2007年期间意大利52个省的每月观测变量。我们的响应变量是酒店的抵达人数，而协变量集包括古代，现代和当代艺术临时展览的参观者人数，以及一组有助于游客到达的变量，例如目的地的种类，旅游者的吸引力每个省等等。特别要注意的是，通过同时考虑意大利各省的时间动态和异质性，来发现对前往意大利的游客流量影响最大的艺术领域。为此，我们从理论和实践的角度讨论了静态和动态误差分量回归模型。估计的双向固定效应回归模型表明，所有三个部门都对游客流量做出了贡献，但方式却截然不同。根据我们的分析，我们为文化旅游领域的政策制定者提供了一些指示。

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