Broadband Price Index in Europe

Leogrande, Angelo; Magaletti, Nicola; Cosoli, Gabriele; Massaro, Alessandro

doi:10.2139/ssrn.4036690

Cited by 1 publication

(2 citation statements)

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“…Kovács et al (2022) used correlation analysis and principal component analysis to analyse the digital economy and society index. Leogrande et al (2022a) analysed the determinants of the "Broadband Price Index" in 28 European countries between 2014 and 2021 and used data of DESI. The data were analysed using the panel data with random effects, panel data with fixed effects, pooled ordinary least squares, weighted least squares and dynamic panel.…”

Section: Desimentioning

confidence: 99%

“…Our results cannot be compared with existing research because, as stated in Literature Review (see Section 1), we are not aware that there exists research that has focused on cluster analysis. The research focuses mainly on comparing only a few countries (e.g., Moroz, 2017;Stoica & Bogoslov, 2017;Burlacioiu et al, 2018;Kontolaimou & Skintzi, 2018;Grinberga-Zalite & Hernik, 2019;Karnitis et al, 2019;Nagy, 2019), or other methods were used (e.g., Gerasenko & Levkovich, 2019;Kovács et al, 2022;Kutnjak et al, 2020;Leogrande et al, 2022a). Therefore, this paper filled research.…”

Section: Cluster Analysismentioning

confidence: 99%

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Multidimensional Evaluation of EU and Slovakia in the Context of Digital Transformation

Jenčová¹,

Vašaničová²,

Miškufová³

2023

CEBR

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The Covid-19 pandemic highlighted the cardinal intent, in which digital technologies play a key role in building a sustainable future, revealing disparities between digitally equipped companies and those that are still implementing digital solutions. It showed the difference between urban, rural and remote areas with good connections. This paper is divided into two parts. The first aim is to evaluate the performance of the digital economy and society according to its basic dimensions, quantify and compare the position of 28 European Union countries (considering Great Britain as a member) in the international area using DESI -(Digital Economy and Society Index). It will look to evaluate the overall change in the development of the Slovak Republic between individual periods based on the main dimensions of the composite index. The second part aims to find the clusters of the European Union countries by using data of their rankings within five dimensions of DESI. Correlation analysis is used to meet the first aim, cluster analysis is used to meet the second aim. The data are obtained from the Ministry of Investment, Regional Development and Informatization of the Slovak Republic and the database of the European Centre for Digitization. The results show a statistically significant correlation in the rankings of the EU countries between the analysed years 2016-2020. Moreover, among the European Union countries, there are internal homogeneous and external heterogeneous groups of countries with respect to ranking within DESI dimensions. Cluster analysis has not been used so far in analysing DESI in the existing literature. Therefore, the results of this paper fill such a research gap. Implications for Central European audience: Quantification and comparison of the position of 28 European Union countries in the international area using DESI can help to identify and improve the digital competitiveness of European Union countries. Knowing five dimensions of DESI, its specific subdimensions, and indicators can help to identify controversial areas to which the state should pay attention. This paper deals, in more detail, with the position of Slovakia in the digital competitiveness of the EU using DESI.

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Section: Desimentioning

confidence: 99%