scholarly journals Differences in efficiency of innovation performance among EU candidate countries and EU 28 countries

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Dr. Sc. Slagjana Stojanovska ◽  
Dr. Sc. Violeta Madzova
Keyword(s):  
Performance Indicators ◽  
Performance Index ◽  
Innovation Policy ◽  
Innovation Performance ◽  
Limited Resources ◽  
Candidate Country ◽  
Efficiency Performance ◽  
Innovation Output ◽  
Eu Candidate Countries ◽  
The Eu

The aim of this paper is to identify if there are differences in the efficiency of innovation performance between the two groups of countries: EU candidate countries such as Macedonia, Serbia and Turkey and the average level of innovation performance in EU-28 countries from 2010 - 2017. The further paper’s analysis aims to identify the most crucial factors and indicator that contribute to the efficiency of innovation performance in both groups of countries.In that sense, the comparative analyses of the two observed groups of countries has been done, using   the European Innovation Scoreboard (EIS) data as well as 12 EIS indicators for the period 2010 - 2017. For benchmarking of the countries three indicators are created: sub-index Input Innovation (II), sub-index Output Innovation (OI) and the Innovation Efficiency Performance Index (IEPI).The findings show that there is a difference in efficiency of innovation performance indicators between the observed two groups of countries, but as well as among each the EU candidate country. In fact, Macedonia (IEPI=2.33) has twice higher efficiency of transforming innovation inputs into innovation output unlike the EU28 countries (IEPI=1.17), Serbia (IEPI=1.06) and Turkey (IEPI=.24).It can be noted as well that Macedonia managed to use its limited resources to input (sub-index II= 0.13) in much more efficient/productive way (IEPI= 2.33) and to obtain most output innovation (sub-index OI= 0.29). This paper’s findings can be used for designing better innovation policy in the observed EU candidate countries.

scholarly journals An analysis of innovation performance of the Western Balkan countries and the EU selective economies group

2013 ◽  
Vol 65 (1) ◽  
pp. 68-84
Author(s):  
Slobodan Cvetanovic ◽  
Vladimir Nedic
Keyword(s):  
Extreme Values ◽  
Innovation Performance ◽  
Global Innovation ◽  
Key Innovation ◽  
Balkan Countries ◽  
Innovation Output ◽  
Economic Innovation ◽  
Basic Characteristics ◽  
Index Index ◽  
The Eu

First of all, the paper offers a theoretical explication of the importance of economic innovation for a country?s economic development. It further considers the metrics of the Global Innovation Index. By means of a box-plot diagram, the article explores the link between basic innovation performances (Global Innovation Index, Index Innovation Input and Index Innovation output) of the six Western Balkan countries (Albania, Bosnia and Herzegovina, Macedonia, Serbia, Croatia and Montenegro) and a group of six selected European Union economies in the neighbourhood (Austria, Greece, Bulgaria, Romania, Hungary and Slovenia). The aim is to identify the existence of extreme values between the data that reveal the key innovation performance of the two groups including the description of the basic characteristics of the performances which have been examined.

scholarly journals INNOVATION PERFORMANCE OF CZECH AND FINNISH MANUFACTURING ENTERPRISES AND THEIR POSITION IN THE EU

ACC Journal ◽  
2021 ◽  
Vol 27 (2) ◽  
pp. 7-21
Author(s):  
Petr Blaschke ◽  
Jaroslav Demel ◽  
Iouri Kotorov
Keyword(s):  
Czech Republic ◽  
Performance Indicators ◽  
Manufacturing Industry ◽  
Public Support ◽  
Innovation Performance ◽  
European Countries ◽  
Size Group ◽  
The Czech Republic ◽  
Manufacturing Enterprises ◽  
The Eu

The aim of this article is to assess the innovation performance of innovative small, medium-sized, and large enterprises operating in the manufacturing industry in two European countries – the Czech Republic (CR) and Finland, and to determine their position within the EU based on a comparison with average values of created Fictitious EU Country (FEUC). The FEUC includes the indicators and population of the EU member countries whose data were available. The performed analysis is based on the use of selected key performance indicators (related mainly to inputs that are expected to contribute to innovations) evaluating the enterprises´ innovation performance. The conducted research tries to identify the most significant drivers of innovation performance with regard to the size group of enterprises. Moreover, the achieved results are further compared within the innovation environment of the CR and Finland as well as the EU as a whole. It is worth highlighting the innovation resources of Finnish mainly small but partly also medium-sized enterprises, which in some monitored indicators occupy a much more significant share than in the case of the CR. This fact can indicate a particular signal, which size group of enterprises should become a target group of public support aiming to boost innovation performance.

Latest Developments on the Way to EU Accession

2016 ◽  
pp. 166-184 ◽  
Author(s):  
Yontem Sonmez
Keyword(s):  
Candidate Country ◽  
Customs Union ◽  
Eu Accession ◽  
Republic Of Macedonia ◽  
Recent Developments ◽  
Yugoslav Republic ◽  
Eu Candidate Countries ◽  
The One ◽  
The Eu ◽  
The Way

Among the EU candidate countries of Albania, Iceland, Montenegro, Serbia, Former Yugoslav Republic of Macedonia, and Turkey, Turkey is the candidate country with the largest population and size as well as the one who has spent the longest time on the way to EU accession. It also has a closer economic relationship with the EU, as it has been participating in a Customs Union (CU) with the existing EU members since 1996. Turkey's potential EU candidacy has become a matter of controversy in recent years. The possibility of Turkish accession to the EU has reignited fears in the ‘old' EU. The aim of this chapter is to discuss the recent developments in Turkey-EU relations and to evaluate the recent performance of Turkey on the way to EU accession by focusing on economic and mainly trade implications of a Turkish EU accession.

Cognitive proximity and innovation performance: are collaborators equal?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mari O' Connor ◽  
Justin Doran ◽  
Nóirín McCarthy
Keyword(s):  
Innovation Policy ◽  
Probit Model ◽  
Innovation Performance ◽  
Community Innovation Survey ◽  
Firm Level ◽  
Content Type ◽  
External Knowledge ◽  
Innovation Output ◽  
Backward Linkages ◽  
The Impact

PurposeThis paper combines the concepts of search depth and cognitive proximity to investigate the impact of intense collaboration with different external agents on firms' innovation performance. It empirically tests whether firms that draw deeply on cognitively proximate collaborative partners are more innovative than those collaborating intensively with cognitively distant partners. It explores whether the impact of each external agent is equally important in determining the innovation output of firms.Design/methodology/approachUsing data from the Irish Community Innovation Survey 2012–2014, this paper employs a probit model to empirically test the impact of collaboration with cognitively proximate and distant sources of external knowledge to establish whether their impact on innovation performance is uniform.FindingsThe results show that not all collaborators equally impact firm innovation performance. Firms who indicate that knowledge sourced from backward linkages with suppliers is highly important are more likely to engage in both product and process innovation, with the effect more pronounced for the former. The extent of this is greatest for backward linkages compared to forward, horizontal and public linkages. Public linkages have the weakest impact on innovation output which raises questions from a policy perspective given the focus on university–industry collaboration for innovation. The findings indicate that collaboration with cognitively proximate sources of knowledge benefits firms' innovation output.Originality/valueThe study provides empirical evidence on the role of intense collaboration with cognitively proximate and distant external knowledge sources to explore their impact on the subsequent innovation performance of firms. The results can be used to help shape firm-level innovation policy, and indeed national policy, to promote innovation performance.

scholarly journals Diverse approaches to the multidimensional assessment of innovation in the European Union

2018 ◽  
Vol 68 (4) ◽  
pp. 521-547
Author(s):  
Elżbieta Roszko-Wójtowicz ◽  
Jacek Białek
Keyword(s):  
Innovation Performance ◽  
Underlying Structure ◽  
The European Union ◽  
Eu Countries ◽  
Global Innovation ◽  
Fitting Method ◽  
Innovation Output ◽  
Objective View ◽  
Complex Phenomena ◽  
The Eu

The paper concentrates on the evaluation of the Global Innovation Index, the Summary Innovation Index and the Innovation Output Indicator. For the purpose of this article, the PROFIT (PROperty- FITting) method, an extension of the multidimensional scaling (MDS), was applied. The ultimate goal of MDS techniques is to produce a geometric map that illustrates the underlying structure of complex phenomena such as the innovation performance of the EU countries. Cluster analysis, conducted with the use of Ward’s method provided an objective view of the division of the EU countries based on their selected characteristics. The final result is a two-dimensional map illustrating the structure of innovation performance. The main conclusion drawn from the analysis is the explanation of distance between single indices in a spatial map and their role in distinguishing specific groups of the EU countries from the perspective of innovation performance.

Assessment of the Culture of Care working with laboratory animals by using a comprehensive survey tool

2021 ◽  
pp. 002367722110144
Author(s):  
Thomas Bertelsen ◽  
Kirstine Øvlisen
Keyword(s):  
Performance Indicators ◽  
Essential Elements ◽  
Laboratory Animals ◽  
Survey Tool ◽  
Culture Of Care ◽  
Eu Directive ◽  
Comprehensive Picture ◽  
Comprehensive Survey ◽  
Definition Of ◽  
The Eu

The term Culture of Care, within the scientific community using laboratory animals, is being used more and more frequently after it was introduced in the EU Directive 2010/63/EU, where it is phrased as a ‘climate of care’, which became effective in national legislation from January 2013. However, there is a risk that the term could become a meaningless phrase if no agreed local definition of the term exists at the animal facility (called establishment in the EU Directive). This paper presents a comprehensive survey tool that provides a means to describe what the Culture of Care in an establishment looks like. The tool is one of the elements that can contribute to the overall picture of the culture; however, it cannot stand alone. Together with an evaluation of the effectiveness of the Culture of Care (e.g. key performance indicators) and a description of the outcomes and achievements in terms of animal welfare and the 3Rs (Replace, Reduce, Refine), the survey tool will constitute a comprehensive picture. The survey tool offers a multilevel and comprehensive view of different subcultures, presenting details on mindset and behaviour of the employees and the different relations within the culture, thus enabling the initiation of improvement projects if required. The tool addresses essential elements of a co-operative culture in terms of what we think, what we do and how we work together.

KEY PERFORMANCE INDICATORS AND THEIR USE IN MANAGING THE IMPLEMENTATION OF MUNICIPAL INNOVATION POLICY (THEORETICAL QUESTIONS)

2021 ◽  
Vol 14 (1) ◽  
pp. 67-75
Author(s):  
Alexander Annayarovich STEPANOV ◽  
◽  
Margarita Vitalyevna SAVINA ◽  
Elena Vitalyevna POTEKHINA ◽  
◽  
...  
Keyword(s):  
Performance Indicators ◽  
Innovation Policy ◽  
Key Performance Indicators ◽  
Methodological Issues ◽  
Municipal Economy

The article discusses the theoretical and methodological issues of the use of key performance indicators KPI as a tool for managing the implementation of the innovation policy of municipalities; the features of their application are disclosed, taking into account the specifics of the functioning of the municipal economy; substantiated the advantages of their use in the practice of developing and implementing the innovation policy of municipalities.

scholarly journals Innovation, Territory and industrial development in Portugal

Finisterra ◽  
2012 ◽  
Vol 31 (62) ◽  
Author(s):  
Maria Lucinda Fonseca ◽  
Jorge Gaspar ◽  
Mário Vale
Keyword(s):  
Human Resources ◽  
Industrial Development ◽  
Development Process ◽  
Innovation Policy ◽  
Technological Development ◽  
Regional Economies ◽  
Economic Competition ◽  
Manufacturing Activity ◽  
Theoretical Issues ◽  
The Eu

Innovation holds an important role in the economic development process. The competitive potential of national and regional economies is based on the ability to manage the changing technological process. Economic competition does no longer exclusively depend on the factor costs, which vary geographicaly, because technology can now eliminate the territory disadvantages. Productivity is the crucial element in the competitive capacity of any economy. Productivity, as can easily be proved, is deeply dependent on technological development; this is only possible if there is constant innovation. This paper starts with a brief discussion on the theoretical issues regarding innovation in relation to regional economies. In the second section the Portuguese R&D system is analised in terms of finance and human resources. Particular attention is paid to the entrepreneurial R&D effort, namely in manufacturing activity. Finally, some limitations of the innovation policy in the EU are pointed out, together with its consequences for the least favoured regions.

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