网络准备度指数的多元统计分析

Madina Tokmergenova, Imre Dobos
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引用次数: 0

摘要

网络准备指数(NRI)是反映各国数字化发展水平的指标之一。2021年的NRI显示了130个国家的发展情况,相比之下,欧盟的国际数字经济与社会指数(I-DESI)只衡量最发达的国家,涵盖了45个国家。本文旨在确定NRI的12个子支柱之间的关系。我们使用主成分分析(PCA)将我们的数据映射到低维空间,并使用偏相关系数进一步分析主要子支柱之间的因果关系,得出结论,十二个主要子支柱中的两个可以用十个独立的子支柱来解释。之后,我们使用聚类分析将我们的对象(即130个国家)分组。
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Analysis of the Network Readiness Index (NRI) Using Multivariate Statistics
The Network Readiness Index (NRI) is one of the indicators that shows the level of digital development of countries. The NRI for 2021 shows the development of 130 countries, in contrast to the 45 countries covered by the International Digital Economy and Society Index (I-DESI) of the European Union, which measures only the most developed countries. This paper aims to determine the relationship between 12 sub-pillars of NRI. We use Principal Component Analysis (PCA) to perform a mapping of our data to a lower-dimensional space, and further analyse the causal relationships between the principal sub-pillars using partial correlation coefficients, concluding that two of the twelve main sub-pillars can be explained by ten independent sub-pillars. Thereafter, we use cluster analysis to group our objects (i.e. the 130 countries) into clusters.
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来源期刊
Periodica Polytechnica, Social and Management Sciences
Periodica Polytechnica, Social and Management Sciences Social Sciences-Social Sciences (all)
CiteScore
1.50
自引率
0.00%
发文量
26
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