scholarly journals Comparison of National Innovation Systems in the European Union Countries

Risks ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 6
Author(s):  
Edyta Dworak ◽  
Maria Magdalena Grzelak ◽  
Elżbieta Roszko-Wójtowicz

The effective operation of national innovation systems can be a source of many opportunities, but it cannot be forgotten that innovation in itself may mean limiting but also generating various types of risks for the functioning of the local market. The main aim of the article is to present the concept and classification of national innovation systems in the world and to try to answer whether the type of NIS determines the level of innovation of the economies of the European Union countries. The following research thesis was formulated in the study: the type of National Innovation System determines a certain level of innovation in the economy of an European Union country, i.e., in countries belonging to a developed NIS, the level of innovation of the economy is higher than in countries belonging to developing systems. The results of the analysis confirm the research thesis. In the empirical part, the level of innovation in the European Union countries was assessed using the synthetic measure of development (SMD) by Z. Hellwig. Based on the obtained values of the synthetic measure of development (innovation), a ranking of the innovation of the economies of the EU countries was compiled and groups of countries with a similar degree of innovation in the economy were distinguished. The developed ranking of the European Union countries was compared with the NSI classification presented in the theoretical part of the article. The study covered 2010 and 2019.

2013 ◽  
pp. 108-121
Author(s):  
Steven McGuire

The European Union has engaged in several attempts to increase the level of innovation in member states – largely without success. This chapter argues that a combination of global and regional issues explain this failure. What was once a process dominated by Europe and America, innovation is “going global,” with many countries now developing national innovation systems. European firms are conducting more of their research in emerging markets, and in Europe, firms seem unable to raise their share of overall research and development spending. The Commission, for its part, lacks the necessary regulatory and legislative powers to forge a new regional innovation system and is instead reliant on a policy mix of overarching objectives, some directed funding, and comparative analysis of member state policies.


Author(s):  
Steven McGuire

The European Union has engaged in several attempts to increase the level of innovation in member states – largely without success. This chapter argues that a combination of global and regional issues explain this failure. What was once a process dominated by Europe and America, innovation is “going global,” with many countries now developing national innovation systems. European firms are conducting more of their research in emerging markets, and in Europe, firms seem unable to raise their share of overall research and development spending. The Commission, for its part, lacks the necessary regulatory and legislative powers to forge a new regional innovation system and is instead reliant on a policy mix of overarching objectives, some directed funding, and comparative analysis of member state policies.


2010 ◽  
Vol 07 (04) ◽  
pp. 389-404 ◽  
Author(s):  
W. NASIEROWSKI

The objective of this paper is to clarify whether or not the so-called innovation leaders are efficient in transforming innovation inputs into outputs. The study aims to expand on the thought that the level of inputs is decisive in classification of countries as leaders, followers, or laggards in the race to improve innovativeness and competitiveness, and thus raise the standard of living. Based upon the European Innovation Scoreboard (EIS), the efficiency of investment in innovation is examined with the use of the DEA model. The use of the EIS as the main source imposes a limitation on the scope of the countries examined, yet the EIS is essentially the only comprehensive source that examines innovativeness. It is observed that the so-called laggards in innovation are often efficient in their use of resources, whereas leaders of innovation fall short in the area of returns to scale and congestion. Such an observation provides an important guide to the development of policies aimed at improving innovative efforts. Finally, through the use of the nonparametric DEA model, this paper provides a methodological extension to the methods for investigation of innovation systems.


Author(s):  
Eva Jurickova

This paper examines the efficiency of the innovation system in the Czech Republic compared to other European Union countries. The analysis is based on a data envelopment method using a model containing innovation drivers, knowledge creation and indicators of innovation and entrepreneurship as inputs, and intellectual property and application assets producing outputs of the national innovation systems of selected European countries. The data envelopment analysis method focuses on non-parametric linear programming, examining the relative performance and efficiency of particular units under a constant return to scale, converting inputs into outputs as variables of modelling. The measured technical efficiency indicates a difference in performance of innovation systems of selected countries of the European Union and compares an obtained score in efficiency evaluated in the model. The Czech Republic belongs to the moderate group in terms of innovation performance; its national innovation system is characterised by weaknesses in intellectual assets and research. Keywords: Innovation, national innovation system, DEA modelling, technical efficiency.


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