Using Multidimensional Scaling for Assessment Economic Development of Regions

Q3 Decision Sciences
P. Hryhoruk, N. Khrushch, S. Grygoruk
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引用次数: 3

Abstract

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 don'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 Ukrainian'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.
基于多维尺度的区域经济发展评价
解决社会经济发展问题对任何国家都具有战略性和最重要的意义。包括综合指标评估在内的多维统计分析方法已经成功地用于解决这一挑战,但它们并没有涵盖发展的所有方面,在多维指标的开发中留下了一些差距。本研究的目的是在使用多维尺度的基础上构建一个潜在的度量空间。在统计乌克兰地区经济发展情况的基础上,构建了潜在尺度的二维空间,并将乌克兰地区定位于该空间。对结果进行了有意义的解释。这种多维统计分析的使用证实了它对衡量区域经济发展的有用性,并使它们能够得到全面的评估和比较。
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来源期刊
International Journal of Industrial Engineering and Production Research
International Journal of Industrial Engineering and Production Research Engineering-Industrial and Manufacturing Engineering
CiteScore
1.60
自引率
0.00%
发文量
0
审稿时长
10 weeks
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