Innovation of Members States of European Union: A Dynamic Approach
Lidia Luty , Monika Zioło
AbstractSummary: One of the most important areas of reflection on innovation and innovativeness is regional policy and issues related to the development of the economy. The phenomena of globalisation and pressure to create a knowledge-based economy means that not only enterprises, but also countries are forced to optimise the use of their potential on a macro, mezo or micro scale. For this reason, the issue of innovativeness is connected with particular economic entities and sectors of the economy, with the activity of state, regional and local authorities and the European Union. In the conditions of deepening European integration, stimulating innovation of territorial socio-economic systems is an important instrument of economic policy at the international, national and regional levels. Purpose: The aim of the study is to assess the level of innovativeness of the region in spatial and dynamic terms. The Technique for Order of Preference by Similarity to Ideal Solution Method (TOPSIS) will be used to determine the aggregated indicator based on data taken from Eurostat database. Methodology: The implementation of the objective will be achieved through the evaluation and comparison of the level of innovativeness of EU countries with the use of a synthetic measure, estimated by using one of the model methods of linear ordering of objects in the years 2010 and 2017. In the proposed method, the synthetic measure is determined using the distance of the examined objects from the model objects, the so-called pattern and the antipattern. This allows both to describe a complex phenomenon using a single number, the socalled synthetic variable value, and to segregate the examined objects. The dynamic approach will allow to determine the directions of changes. Findings: The region's innovativeness is a multidimensional phenomenon, which is directly unmeasurable, hence the need to use statistical methods when measuring it. Obtained results will allow to assess the studied phenomenon, build a ranking and identify countries with a high, medium or low level of innovation. The dynamic approach will make it possible to verify the hypothesis that the diversity of the Member States by level of innovation is decreasing and UE-13 countries in most observed indicators tend to make bigger progress than UE-15 states. Especially big improvement in UE-13 states can be seen in the amount of PhD studies' graduates, corporational expenses on R&D and design applications. The results of the research may be both a signal of the need for rationalisation that is supportive to the development of regional policy, as well as streamlining the decision-making process by indicating directions of investments that ensure equalisation of disproportions in EU-13 states.
|Publication size in sheets||0.5|
|Book||Illés Bálint Csaba (eds.): Proceedings of the 9th International Conference on Management: "People, Planet and Profit: Sustainable business and society", vol. 1, 2019, Szent István University Gödöllő, ISBN 978-963-269-881-6, 371 p., DOI:10.17626/dBEM.ICoM.P01.2019|
|Keywords in English||gradation, dynamics, method TOPSIS, innovativeness of regions|
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