Analysis of Relationships Between Innovative and Digital Performance of EU-27 Countries (original) (raw)
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Some Aspects Concerning the Correlation Between Ict and Innovation in Europe
Annals of Faculty …, 2010
In the context of the entire world's efforts to start recovering from one of the worst economic crisis, finding the main drivers of growth is increasingly important. The European Commission's new proposal-"Europe 2020"-states innovation as one of these main drivers, and promotes the development of a smart economy based on knowledge and innovation. But how innovation can be fostered? The present study focuses on the relationship between innovation and Information and Communications Technology (ICT), a supporting pillar of the "smart economy". This relationship has been studied at country level using two composite indicators: one for ICT-the "Networked Readiness Index"(NRI) published by World Economic Forum-and another for Innovation-the "Summary Innovation Index"(SII) from the European Innovation Scoreboard (EIS). The results represent a first step towards finding the best driving factors that can stimulate innovation.
TalTech journal of European studies, 2023
The rapid development of information and communication technologies (ICT) in recent years has brought about signifi cant changes in many social sectors such as communication, economy, entertainment, and others. To defi ne 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 fi ve 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 fi ve 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 classifi ed in two groups, one of high and one of low performance in the fi ve 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 aff ect the overall DESI. Linear mixed eff ect models confi rm the positive eff ect of Gross Domestic Product per capita, the public expenditure for education
Economies, 2024
This research thoroughly examines the dynamic relationship between the European Union's economic growth and rapid advancements in Information and Communication Technology (ICT). Specifically, it assesses how certain ICT indicators are associated with significant economic growth. Utilizing an extensive dataset from the Digital Economy and Society Index 2022 (DESI), the Statistical Office of the European Union (EUROSTAT), and the Organisation for Economic Co-operation and Development (OECD), this study encompasses data from all 27 European Union member states. Employing structural equation modelling, our analysis illustrates the positive correlation between ICT development and the Gross Domestic Product (GDP) index. Our findings highlight the critical role of swiftly evolving technological landscapes, emphasizing the growing influence of new Artificial Intelligence (AI) technologies in business sectors. Furthermore, this study showcases the need to enhance human capital and expedite the growth of e-government technologies. These advancements are pivotal in strengthening the infrastructure supporting citizens and public enterprises across European countries, thereby contributing to their economic vitality.
Digital performance indicators in the EU
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Today technological progress is reshaping global economic development and changing the overall welfare of societies. Therefore, it is important to assess challenges and readiness of the European Union to use its capacity to ensure that technologies benefit people and bring them towards more inclusive societies enhancing opportunities to use artificial intellect for making health, education, agriculture, services and manufacturing industries more efficient and user friendly. The Digital Economy and Society Index analyses the digital performance of the EU Member States across five main dimensions: connectivity, human capital, use of internet, integration of digital technology, digital public services. However, despite intention to jointly develop Digital Single Market, the gap between the EU top digital countries and less digitally advanced countries remains large. The aim of this paper was to evaluate the digital performance indicators of the EU countries, in particular focusing to Poland and Latvia to assess their progress and potential of their human capital's digital skills. The research is based on theoretical literature studies on industrial revolution stages, European Union Commission documents, indexes and publications available in relevant public institutions such as ministries and industry reports. The research employed monographic method, analysis and synthesis methods as well as graphical data analysis. The research results give evidence that currently Poland's human capital is significantly better prepared for making use of future digital economy challenges than Latvia's human capital, and there is a close link between countries' R&D expenditures proportion of GDP and their human capital's readiness to integrate in digital economy.
European Efficiency or Inefficiency in Economic Growth Through Digital Transformation
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The current global changes bring to the fore the importance of the innovation and digital transformation for economic development. Under the previous assumption, an objective evaluation of the economic growth discrepancies, considering the digitalization process, is required. The main goal of the present research is to analyse the economic growth of the European countries, based to the digitalization process, by using an input-output method. Under these circumstances, a Data Envelopment Analysis (DEA) was performed, considering the digitalization dimensions of DESI Index as input and the economic growth (annual %) as output. Based on the proposed model, the results highlighted the bidirectional relationship between economic growth and digitalization. Consistent with the research results, the European countries can be divided in two main categories: the efficient and the inefficient. On one hand, we can find the relatively efficient European states in terms of achieving the economic ...
The relationship between national innovative capability and performance in Europea
Pressacademia, 2017
The aim of this study is to empirically investigate the relationships between capacity and performance indicators of National Innovation Systems in European countries over the period from 2000 to 2014. Methodology: As an analytical tool in order to examine the dynamics of innovation process at macro level, we used National ınnovation System approach which has had a large scope in innovation literature over the last decades. In this analytical framework, we employed Canonical Correlation Method to empirically examine the relationships between two variable set of capacity and performance components. National innovation capacity is represented by the dimensions of Research and Development activities, Human Capital and Information and Communication Technology (ICT) infrastructure. Dimensions of invention and innovation are chosen the proxies for performance components of NIS. Thus, this study applies an empirical method to get different capability dimensions of system together in order to determine their effectiveness on innovation performance. Findings: Results of the empirical study reveal that the most significant contribution to innovation performance comes from Human Capital while dimensions of ICT infrastructure and Research and Development take second and third place, respectively. In addition, it seems that educational attainment and ICT-using levels are better indicators for determining the impacts of Human Capital and ICT infrastructure on innovation performance rather than the levels of education spending and ICT investment. Conclusion: As generally argued, increasing of R&D intensity at country level is not only sufficient condition for improving innovation system in Europe. Accordingly, innovation policies like European Union focusing on an R&D-to-GDP ratio 3% is not enough without providing the requirements for an appropriate human capital development in national innovation system.
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Purpose: This longitudinal study analyzes the impact of the digital economy on economic growth in Organisation for Economic Co-operation and Development (OECD)’s countries, divided into groups by their level of development (transition and innovation countries). Originality/value: Empirical studies on information and communications technology (ICT)’s impact on countries’ economic growth have increased over the last few years. However, there are still no studies that analyze this problem for the group of OECD countries, let alone divide these countries according to their level of economic development to assess the differences between more developed countries and less developed. The study of this gap in the literature allows us to infer important implications for policymakers to implement the digital agenda more efficiently. Design/methodology/approach: We used a panel data sample from the World Bank covering 36 OECD countries from 2000 to 2019. A statistical analysis of the variables ...
Impact of ICT development on economic growth. A study of OECD European union countries
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Most of the scientific literature recognizes a positive impact of Information and Communication Technologies (ICT) on economic growth. In contrast, different investigations suggest that this impact is limited or even null, that is, there are mixed results. In view of this problem, we conducted a study whose objective is to analyse the impact of ICT on economic growth. To address the study, we apply Partial Least Squares (PLS), using the databases of Digital Economy and Society Index (DESI) and the Organisation for Economic Cooperation and Development (OECD), which allowed us to analyse those European Economic Community countries, members of the OECD, in order to reduce the differences in economic development between the countries analysed. As far as we know, this is the only work that studies the relationship between ICT and economic growth by measuring ICT with the Digital Economy and Society Index database (DESI), in European Union countries that belong to the OECD and that apply the PLS-SEM technique. Based on the empirical results, the paper suggests that progress in the deployment and use of ICT drives the economic growth of countries that are within the framework of developed European economies.
Digital transformation and ICT sector performance in EU countries
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Digital transformation is now one of the most important topics in all EU countries in creating and managing strategies and visions for states, businesses, organizations, and citizens. The ICT sector is currently one of the most important sectors with significant added value. The main purpose of the paper is to identify the efficiency of the digitalization of the economy and society concerning the performance of the ICT sector. This paper uses multi-criteria efficiency evaluation methods – Data Envelopment Analysis (DEA models). Inputs in the basic DEA model are the dimensions’ values of the Digital Economy and Society Index (DESI), which are also used to express the DESI summary indicator, such as human capital, connectivity, digital technology integration, and digital public services. Output in the DEA model indicates the ICT share of GDP. Finally, output-oriented DEA models are used to express the efficiency score. The analysis results show that Bulgaria, Romania, Greece, and Malt...
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We build on the argument that measurement of digitalization is essential for effective public policy strategies in order to to govern digital transition. Developing this argument, we investigate the five principal dimensions of the European Commission´s Digital Economy and Society Index (DESI) using a series of multivariate statistics. The analysis can be divided into three groups. First, we analyse the linear relationships between dimensions by correlation analysis, partial correlation analysis, and principal component analysis. In the partial correlation analysis, causal relationships between the dimensions show high correlations. Second, we assign countries into groups with cluster analysis and multi-dimensional scaling. The groups obtained by the two methods are very similar. Finally, we rank the European Union (EU) countries using statistical methods and compare with the results obtained with the overall DESI index. The correlation between the two rankings shows a strong linear relationship. Based on these results we draw conclusions on how to effectively use the DESI data for public policy analysis.