Regions of Visegrad Group Countries in the European Innovation Space – Dynamic Assessment
AbstractInnovation represents a multidimensional phenomenon, analysed in many perspectives and increasingly often referred to economy in the context of a territory (countries, regions). The problems of such complex phenomenon measurement constitute a challenge for statistical services, whereas the EU presentation attempts and methodology have been evolving for several years (Oslo manual and team work of the European Trend Chart on Innovation, Pro Inno Europe Inno metrics for European Commission). The changing approaches make dynamic assessments difficult since they do not allow for long-term analyses. The diversification identification of the occurring changes level and their dynamics in terms of particular innovation measures included in Eurostat base, as well as innovation assessed by applying synthetic indicators or other tools for multidimensional data analysis is possible at the level of countries and NUTS 2 regions. The disproportions in the level of innovation are quite extensive in Europe, whereas inequalities in this matter are particularly visible at regional level. The crucial differences refer to both, old EU (EU 15) and the regions from countries of the successive enlargements. The purpose of the article is to assess the dynamic classification results of the European NUTS 2 level regions – conducted using eight innovation indicators – in the context of the position of Visegrad Group countries’ regions, i.e. included in the group of countries from 2004 accession. The analysis background consists of the regions from 33 European countries (EU 28 regions and Norway, Switzerland, Iceland, Macedonia and Turkey) in the period 2008- 2012.
|Publication size in sheets||0.6|
|Book||Nijkamp Pater, Kourtit Karima, Buček Milan, Hudec Oto (eds.): 5th Central European Conference in Regional Science Conference Proceedings, 2015, Technical University of Košice, ISBN 978-80-553-2015-1, 1226 p.|
|Keywords in English||regional innovation, dynamic classification, Visegrad Group|
|Score|| = 15.0, 02-06-2020, BookChapterMatConfByConferenceseries|
= 15.0, 02-06-2020, BookChapterMatConfByConferenceseries
|Publication indicators||= 0|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.