Abstract:
To analyze the market situation and to determine the demand for services
provided by freight customs complexes in the regions of Ukraine, it is proposed
the application of statistical data analysis methods for a comprehensive regional
foreign economic potential assessment. The observation objects were twenty-four
regions of Ukraine and the city of Kyiv in the period from 2015 to 2018. A number
of indicators reflecting the level of their development were used as regional
foreign economic potential assessment factors. As a research tool, such statistical
analysis methods as hierarchical cluster analysis techniques and the k-means
method in Statistica, the suite of analytics software products, are used. Following
the classification results, the regions of Ukraine are divided into five homogeneous
clusters based on which it is possible to develop a system of differentiated
measures for each cluster of regions with the high, average, and low levels of foreign
economic activity development
