欧盟数字经济与社会指数的演变:社会经济视角

IF 0.6 Q2 LAW
Melpomeni Masoura, Sonia Malefaki
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引用次数: 0

摘要

近年来,信息通信技术(ICT)的飞速发展,给通信、经济、娱乐等诸多社会领域带来了巨大的变化。为了确定信息通信技术在其发展过程中发挥的关键作用,欧盟(EU)制定了一个综合指标,即数字经济和社会指数(DESI),以评估其成员国的数字政策绩效。在当前的工作中,通过使用相应的DESI报告(DESI 2015 - DESI 2020),研究2014-2019年DESI的五个维度,试图评估欧盟国家在数字经济和社会方面实施的欧盟数字政策的表现。此外,还研究了欧盟成员国之间的数字趋同,即根据最优集群数量对它们进行分组,从而在DESI的五个维度上表现相似。由于集群的最佳数量为两个,因此欧盟成员国在DESI的五个维度中分为两组,一组是高绩效组,一组是低绩效组。在2014-2019年期间,每个成员国的演变以及从一个集团向另一个集团的可能过渡也是一个值得关注的问题。将欧盟成员国划分为这两类表明,社会经济因素可能影响总体经济发展指数。线性混合效应模型证实了人均国内生产总值(gdp)、教育和研发(R&D)的公共支出对DESI的积极影响,以及平均每周工作时间对DESI的消极影响。调查结果可用于改革现有的欧盟数字政策,并确定需要进一步改进的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolution of the Digital Economy and Society Index in the European Union: Α Socioeconomic Perspective
Abstract The rapid development of information and communication technologies (ICT) in recent years has brought about significant changes in many social sectors such as communication, economy, entertainment, and others. To define the key role that ICT plays in its development course, the European Union (EU) has developed a composite indicator, the Digital Economy and Society Index (DESI), to assess the digital policy performance of its Member States. In the current work, an attempt is made to evaluate the performance of the EU countries on the digital economy and society with respect to implemented EU digital policies by studying the five dimensions of the DESI for the years 2014–2019, using the corresponding DESI reports (DESI 2015 – DESI 2020). Moreover, the digital convergence among EU Member States, in terms of similarity of their performance in the five dimensions of the DESI by grouping them according to the optimal number of clusters, is also examined. Since the optimal number of clusters is two, EU Member States are classified in two groups, one of high and one of low performance in the five dimensions of the DESI. The evolution of each member country and the possible transitions from one group to another during the years 2014–2019 is also a point of interest. The grouping of EU Member States into the two clusters showed that socioeconomic factors may affect the overall DESI. Linear mixed effect models confirm the positive effect of Gross Domestic Product per capita, the public expenditure for education and research and development (R&D) on the DESI and the negative effect of the average number of weekly working hours. The results could be used to reform the existing EU digital policies and identify areas where further improvement is needed.
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来源期刊
CiteScore
1.90
自引率
62.50%
发文量
8
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