Socio-economic development and the concept of the tourist function of areas are multidimensional socio-economic phenomena, the diagnosis of which is particularly important in various comparative studies regarding EU countries. Measurement based on GDP per capita, widely used in the assessment of the socio-economic level of development of countries, does not include many aspects of this development in its construction. Similarly, the level of development of the tourist function cannot be assessed by means of one universal measure. Both categories should be treated as complex phenomena, which are influenced by many different factors. The aim of this article is to compare and statistically assess two complex phenomena, i.e. level of socio-economic development and level of tourist function development in 28 European Union countries. Linear ordering of EU countries was carried out using the TOPSIS method on the basis of diagnostic variables determining individual complex phenomena in 2016. Values of the overall synthetic measure were also indicated, taking into account all diagnostic variables. Rankings of EU countries were built and four typological groups of countries with high, medium-high, medium-low and low level of development were created. Discriminant analysis indicated variables that have the greatest impact on the classification of EU countries in terms of the level of socio-economic development and level of tourism function development. A linear econometric model with synthetic variables was also constructed, and it was determined which of the synthetic measures is relatively more important in describing the shaping of the overall synthetic measure. The quality of the work is increased by the use of many different statistical and econometric methods, as well as methods from the field of Multidimensional Comparative Analysis. Thanks to this, it is possible not only to deepen the assessment of the studied phenomena, but also to obtain more objective results. Conclusions from the research may be a basis for proper management in the field of socio-economic development as well as for the development of the tourist function of EU countries. They can also be used for appropriate allocation of financial support for countries within the framework of the EU cohesion policy and in determining the tourist specialization of countries.

社会经济发展和地区旅游功能的概念是多维的社会经济现象，其诊断在欧盟国家的各种比较研究中尤为重要。基于人均国内生产总值的衡量，广泛用于评估国家社会经济发展水平，在其建设中并未包括这种发展的许多方面。同样，旅游功能的发展水平也不能用一种普遍的衡量标准来衡量。这两个类别都应该被视为复杂的现象，它们受到许多不同因素的影响。本文旨在对欧盟28个国家的社会经济发展水平和旅游功能发展水平这两种复杂现象进行比较和统计评估。欧盟国家的线性排序是在 2016 年基于确定个别复杂现象的诊断变量的基础上使用 TOPSIS 方法进行的。还指出了整体综合测量的值，同时考虑了所有诊断变量。建立了欧盟国家排名，创建了高、中高、中低和低发展水平四个国家类型组。判别分析表明，在社会经济发展水平和旅游功能发展水平方面，对欧盟国家分类影响最大的变量。还构建了具有综合变量的线性计量经济学模型，并确定了哪些综合措施在描述整体综合措施的塑造方面相对更重要。通过使用许多不同的统计和计量经济学方法以及多维比较分析领域的方法，可以提高工作质量。因此，不仅可以加深对所研究现象的评估，还可以获得更客观的结果。研究得出的结论可能为社会经济发展领域的妥善管理以及欧盟国家旅游功能的发展提供依据。它们还可用于在欧盟凝聚政策框架内为各国适当分配财政支持，并确定各国的旅游专业化。因此，不仅可以加深对所研究现象的评估，还可以获得更客观的结果。研究得出的结论可能为社会经济发展领域的妥善管理以及欧盟国家旅游功能的发展提供依据。它们还可用于在欧盟凝聚政策框架内为各国适当分配财政支持，并确定各国的旅游专业化。因此，不仅可以加深对所研究现象的评估，还可以获得更客观的结果。研究得出的结论可能为社会经济发展领域的妥善管理以及欧盟国家旅游功能的发展提供依据。它们还可用于在欧盟凝聚政策框架内为各国适当分配财政支持，并确定各国的旅游专业化。