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Impacts on travel and holiday accommodation online booking in selected South-East European countries: a multivariate analysis approach

机译:在某些东南欧国家/地区对旅行和度假住宿在线预订的影响:多变量分析方法

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摘要

This paper investigates the impacts of economic indicators and the Internet penetration rate, as well as people’s ICT skills based on the Percentage of Individuals who booked travel and holiday accommodation over the Internet as the main variable under study. Recent data on member states in the European Union (EU28) are analyzed, including data on the three official EU candidate countries: Turkey, the FYR of Macedonia and Serbia. The research focuses on the position of the above mentioned EU candidates, considered part of South East Europe (SEE) and the Western Balkans (WB). The main variable under study and four variables making a statistically significant impact on the main variable are explored. High positive correlations between pairs of the variables for 30 countries were found. Multiple linear regression modelling using the OLS estimators resulted in several acceptable models. Most hierarchical and non-hierarchical clustering methods resulted in clear grouping of the SEE countries (Turkey, the FYR of Macedonia, Serbia, Bulgaria and Romania) into the same clusters. Other more developed SEE countries in terms of the analyzed variables and utilizing specific clustering techniques joined other EU countries in different combination setups.
机译:本文根据在互联网上预订旅行和度假住宿的个人百分比作为研究的主要变量,研究了经济指标和互联网渗透率以及人们的ICT技术的影响。分析了有关欧盟成员国(EU28)的最新数据,包括有关三个欧盟正式候选国的数据:土耳其,马其顿的前南斯拉夫联盟共和国和塞尔维亚。该研究着重于上述欧盟候选人的地位,这些候选人被视为东南欧(SEE)和西巴尔干地区(WB)的一部分。探索了正在研究的主要变量和对主要变量具有统计学显着影响的四个变量。发现30个国家的变量对之间存在高度正相关。使用OLS估计量的多元线性回归模型可以得出几个可接受的模型。大多数分层和非分层的聚类方法导致将SEE国家(土耳其,马其顿的前南斯拉夫联盟共和国,塞尔维亚,保加利亚和罗马尼亚)清晰地分为同一类。就分析变量而言,其他较发达的SEE国家也利用特定的聚类技术,以不同的组合方式加入了其他EU国家。

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