DIGITAL ECONOMY AND SOCIETY INDEX -FROM THE PERSPECTIVE OF HUNGARY

Proceedings of the ENTRENOVA – Enterprise Research Innovation Conference, 2022

Since the 2000s, the European Commission has been paying particular attention to the digital development of the European economy and society. Since 2014, the Digital Economy and Society Index (DESI) has been one of the key tools for monitoring and measuring. In 2021, the DESI index's core indicators were aligned with the objectives of the 2030 Digital Agenda, which has four dimensions: human capital, connectivity, integration of digital technology, and digital public services. We sought to determine whether convergence between the Member States could be detected using the third dimension of DESI's annual database. The σ-convergence analysis was used to estimate the reduction over time of the differences in digital technology integration between the Member States, while the β-convergence analysis was used to estimate the rate of catching up with the initial level of development. The σ-and βconvergence were not confirmed. We examined the individual indicators (11) of the integration of digital technology to identify critical areas that need to be addressed in the future to ensure that digital inclusion is as widespread as possible. Our analysis focused on the Member States that joined the EU during the Eastern European enlargements. The performance of all individual indicators is typically below the EU average, and, as the β-convergence analysis shows, the average catching-up rate is not encouraging.

Journal of Settlements and Spatial Planning, 2024

Journal of Management and Business: Research and Practice, 2021

Digital technologies affect our daily lives, whether private or professional. The Covid-19 pandemic highlighted the importance and necessity of digital technologies and the transfer of some activities to the online space. The Digital Economy and Society Index (DESI) monitors Europe’s overall digital performance. It is an essential indicator for comparing levels in digital skills and opportunities between EU countries. The aim of the article is to analyze the 3rd part of this index, namely Use of Internet. On the sample of V4 countries, we analyze the performance of individuals in this area. We analyze the overall DESI in the year 2020. The partial analysis of selected segments of DESI was in the period 2015 - 2020, to show not only the results from the last year, because they may be influenced by the Covid-19 situation, but the countries’ progress made by last years. We identify 2 interesting situations. One was in the case of Hungary and the second in Poland. The paradoxes in these...

Energies

The main objective of the paper is to present the development of digital economy and society in the Countries of the European Union in the light of the digital convergence of these markets. The analysis was based on the data on the Digital Economy and Society Index (DESI) from 2015 and 2020. Empirical studies have been conducted in two stages. First, basic measures of time series dynamics were used to determine the dynamics of changes in index values. On the other hand, in order to classify countries in terms of similarity of value and structure of the DESI, a cluster analysis was used as one of the basic methods of the so-called unsupervised statistical grouping. The studies presented confirm that the levels of indicators and the dynamics of changes in their value at the level of the synthetic DESI indicator, and in the five underlying areas of analysis, vary despite the fact that almost all are pro-growth, including for isolated clusters of EU-28 countries. When analyzing the DESI...

Trakya Üniversitesi Sosyal Bilimler Dergisi, 2021

This study has two main goals. The first one aims to determine how the European Union countries are clustered according to The Digital Economy and Society Index (DESI) 2020 data. The second one aims to determine whether there is a similarity between the DESI cluster of the European Union countries and the social welfare regime classification. METHODS: In the research, the cluster method was used in accordance with DESI 2020 data. RESULTS: Technological and digital investments and initiatives of countries have clustered the European Union countries in 4 different groups. The countries clustered according to DESI data are shaped for investments and spending for digitalization within the scope of sub-dimensions of DESI. In this context, the welfare regimes applied by the countries affect the spending for digitalization. CONCLUSIONS: According to The Digital Economy and Society Index (DESI) 2020 data has proved that there is a similarity between the classification of the European Union countries according to their welfare regimes and digitalization.

Amfiteatru Economic, 2022

The digital economy is an alternative to the traditional economy, an area of the future on which investment and R&D efforts are focused both by European forums and by Member States, which have understood the importance of the domain with the onset of the pandemic crisis. The aim of the research is to analyze and predict, on the one hand, the impact of digitalisation on EU Member States' economies by means of the three scenarios for the evolution of the digital component of the economy for the horizon 2025 (the baseline scenario, the high growth scenario and the challenge scenario), and, on the other hand, the Member States' ability to achieve the targets proposed by these scenarios. The analysis covers the period 2013-2025 and quantifies the dynamics of the digitalisation phenomena and processes based on dedicated statistical analyses (frequency series analysis, application of the unicriterion critical probability test, application of the Enter method, performing Pearson correlation tests) by means of the IBM-SPSS 25 software. The purpose of this research is the provision of relevant solutions to decision makers in the development of digitalisation. The study highlighted the placing of the results in favourable scenarios, the current trend regarding digital economy evolution, and presented the most likely scenario to be achieved in terms of knowing the provider offer and the needs of service users. The topicality of the study targets a new approach on the foundations of financial allocations for the sustainable development of the digital economy needed in the current conditions of the global crisis and of the pandemic for the implementation of digital economy development policies. A novelty of this research is the conceptualization, validation and testing of an econometric model capable of quantifying the realism of the scenarios proposed by the European Union regarding the development of the digital economy.

Baltic Journal of Modern Computing, 2019

The integrated Digital Economy and Society Index (DESI) is calculated to indicate "progress of EU countries towards a digital economy and society"; nevertheless there are serious barriers to practical use of the DESI. The methodology of the DESI does not apply to development indicators; the natural doubts are on significance of more than 30 aspects for socioeconomic growth. The study propose the methodology for determination of the key drivers of digitalisation, hence areas of priority investments, which can provide the most dynamic socioeconomic progress as well as return of investments. The intelligent data mining and mathematical modelling methods and tools have been used to achieve a conclusiononly six aspects actually are significant for socioeconomic growth. Results are applicable to all EU member states; any economy would use them for strategic investments planning. Current strengths and weaknesses of the Baltic States are analysed in more detail and recommendations are elaborated.

Lecture notes in networks and systems, 2023

The "Digital Europe" program is a central element of the Commission's comprehensive response to the challenge of digital transformation and is included in the proposal on the Multiannual Financial Framework (MFF) for the period 2021-2027. Its aim is to provide a spending instrument adapted to the operational requirements of capacity building in the areas identified by the European Council, as well as to exploit the synergies between them. The program aims, among other things, to develop and strengthen basic skills in artificial intelligence, such as data resources and archives of artificial intelligence algorithms and make them accessible to all enterprises and public administrations; ensure that the essential capabilities needed to secure the EU's digital economy, society and democracy are available and accessible to the EU public sector and businesses, as well as improve the competitiveness of the EU cybersecurity industry; expand the optimal use of digital capabilities, in particular high-performance computing, artificial intelligence and cyber-security, in all sectors of the economy, in sectors of public interest and in society, including the implementation of interoperable solutions in areas of public interest, as well as facilitating access to technology and know-how for all enterprises. To better understand the phenomenon, this study aims to analyse the use of digital technology among European enterprises through a composite index of artificial intelligence (AI) and information technologies (ICT) (using the Wellness Methodology Fair and Sustainable) to measure the territorial gaps and to know the European countries more or less inclined to use it. For this purpose, this contribution develops with the following structure:-description of the theoretical reference framework and the indicators used to regard "artificial intelligence" and "information technologies";-description of the methodology for the construction of the composite indicator;-description of the results, also through a geo-referenced map of European countries willing to use digital technology;-conclusions

Technological and Economic Development of Economy, 2022

The paper aims to analyse the changing economic structure and the trends of the digitalization amplification through the prism of a dynamic multi-criteria model, assessing the strategic perspective by pivoting digitalization in the strategic equation. The main objectives of the research cover the context of vulnerability across the EUSDR countries, the solutions from the literature review and the definition, testing and implementing of a new dedicated model. The model takes into account regional indicators, reported by Eurostat. Statistical analysis procedures and methods were applied in order to capture the expected disparities under the impact of the pandemic, as well as harmonization with European Strategy for Danube Region (EUSDR)-specific impact indicators. The analysis uses la latest official statistical data from Eurostat. The importance of this scientific approach lies in the fact that the results are applicable to the wider region, the vast majority of the Danube states being EU members (9 states), 3 candidate states and 2 potential candidate states in the new geo-political and military context. States that are not yet EU members have regional and cross-border cooperation agreements with the EU. Moreover, the region itself has reacted in a unified way to the challenges of the economic and pandemic crises, the study being conducted over the period 2004-2020. In addition, EU Member States have additionally benefited from European emergency allocations to counter the effects of the global economic crisis and stem the spread of the pandemic. We used empirical and analytical methods, starting with the study of literature, data collection and consolidation of the database, its homogeneity and the application of modelling procedures. The major key findings are focused on the existence of a strong connection between investment effort, labour skills, sustainable development and the digital economy able to face new global and regional challenges. The policy implication of this research consist in offering viable elements capable of assisting regional decision-makers in adopting topical measures on digitisation and reconfiguring strategic regional connections to maintain a sustainable direction for the EUSDR. The recommendations from this study imbraca forma some directions for action related to labour high skills, digitalization, R&D investment and e-commerce.

An assessment of the degree of the development of the digital economy in Poland in comparison to chosen European countries is the main purpose of the paper. The methodology of the conducted research is based on the analysis of secondary sources and applying statistical methods. In order to make the comparison in methodically correct manner, synthetic measures of the development of the e-economy were used in the form of two indexes: NRI (Networked Readiness Index) and DESI (Digital Economy and Society Index). On the basis of available statistical data, four European countries were confronted with Poland. Results of the analysis indicate a relatively unfavorable situation of Poland.