Volume 31, Issue 4 (IJIEPR 2020)                   IJIEPR 2020, 31(4): 597-607 | Back to browse issues page

10.22068/ijiepr.31.4.597


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1- Department of Automated Systems and Modeling in Economics, Khmelnytskyi National University, Instytutska str, Khmelnytskyi, Ukraine , violete@ukr.net
2- Department of Finance, Banking and Insurance, Khmelnytskyi National University, Instytutska str, Khmelnytskyi, Ukraine
3- Department of Higher Mathematics and Computer Science, Khmelnytskyi National University, Instytutska str, Khmelnytskyi, Ukraine
Abstract:   (169 Views)
Addressing socio-economic development issues are strategic and most important for any country. Multidimensional statistical analysis methods, including comprehensive index assessment, have been successfully used to address this challenge, but they donchr('39')t cover all aspects of development, leaving some gap in the development of multidimensional metrics. The purpose of the study is to construct a latent metric space based on the use of multidimensional scaling. Based on statistics showing the economic development of Ukrainian regions, two-dimensional space of latent scales was constructed and Ukrainianchr('39')s regions were positioned in this space. The results were interpreted meaningfully. This use of multidimensional statistical analysis confirms its usefulness for measuring the economic development of regions and allows their comprehensive assessment and comparison.
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Type of Study: Research | Subject: Other Related Subject
Received: 2020/10/10 | Accepted: 2020/11/20 | Published: 2020/11/20