Capabilities, Innovation and Economic Growth in EU Regions

2021 ◽  
pp. 1-27
Author(s):  
Michele Capriati
Keyword(s):  
Economic Growth ◽  
Eu Regions

Methods for analysis of creative, information and knowledge-based factors in the implementation of the smart specialization model in the EU regions

2020 ◽  
pp. 153-162
Author(s):  
Taras Vasyltsiv ◽  
Olha Levytska
Keyword(s):  
Economic Growth ◽  
Methodological Approach ◽  
Regional Level ◽  
Integral Index ◽  
Knowledge Based ◽  
Eu Regions ◽  
Technological Modernization ◽  
Smart Specialization ◽  
The Impact ◽  
The Eu

The aim of the article is to study the existing and find new approaches to the analysis of creative, information and knowledge-based factors that determine social transformations and economic growth of the EU regions based on smart specialization. The methodological approaches to the assessment of the implementation of creative, information and knowledge-based factors in the economy are studied. A comparative analysis of international and regional systems for evaluating creative, information and knowledge-based factors of economic growth is made. A system of indicators of the authors’ three-vector approach (by the directions: (1) intellectualization of economy, (2) digitalization of economy and society, (3) technological modernization) to the analysis of creative, information and knowledge-based factors in the realization of the smart specialization model at a regional level are developed. The developed authors’ technique allows providing a comprehensive approach to the analysis of creative, information and knowledge-based factors in terms of the smart specialization model at the regional level. The methodology involves three groups of indicators in the areas of intellectualization, digitalization, and technological modernization. The calculation of the integral index is carried out based on the method of multidimensional weighted value taking into account the degree of the weight of indicators and sub-indices (subgroups and groups of indicators). The scientific novelty of the study is that the integral index allows making important analytical conclusions about the level of development of creative, information and knowledge-based economy, as well as the correlation of these processes with the socio-economic development of regions. The methodological approach can be implemented in domestic practice for evaluating the impact of the use of creative, information and knowledge-based factors on the development of regional economies and, accordingly, for achieving the objectives of regional smart specialization strategies.

scholarly journals Health Inequalities Across The European Union Regions: A Beta-Convergence Approach

2014 ◽  
Vol 17 (4) ◽  
pp. 71-86 ◽  
Author(s):  
Renata Jaworska
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Health Inequalities ◽  
Unconditional Convergence ◽  
The European Union ◽  
Main Research ◽  
Eu Regions ◽  
Convergence Model ◽  
Beta Convergence ◽  
The Eu

The European Union is currently facing a serious problem concerning the occurrence of significant health inequalities observed between particular member states as well as within these states. Substantial efforts are being made to achieve an economic and social cohesion and the reduction of health inequalities between the EU regions is an important element of this process. This work is devoted to the study of the variations of health status (measured by life expectancy) across the EU regions of NUTS II level. We apply existing tools developed in economic growth literature to study a mortality convergence. Using the idea of unconditional convergence model developed for economic growth, we can confirm a decrease or increase of regional health inequalities. The main research hypothesis is as follows: whether regions with lower initial life expectancies have experienced the largest increases in life expectancies. To verify the hypothesis of beta-convergence we use spatial econometric models which additionally allow to take the geographic dependence among the surveyed regions into consideration. Due to the heterogeneity of the surveyed spatial units we also verify the hypothesis of the club beta-convergence.

scholarly journals The Role of Knowledge Absorption and Innovation Capability in the Technological Change and Economic Growth of EU Regions

2014 ◽  
Vol 39 (1) ◽  
pp. 51-69 ◽  
Author(s):  
Malgorzata Runiewicz-Wardyn
Keyword(s):  
Economic Growth ◽  
Technological Change ◽  
Knowledge Generation ◽  
Innovation Capability ◽  
Productivity Level ◽  
Catching Up ◽  
Eu Regions ◽  
Knowledge Absorption ◽  
The Eu

Abstract The framework of the endogenous growth models and empirical evidence argue that two dimensions determine a region's ability to narrow its technological gap and improve its productivity growth. The first is its absorptive capacity, e.g. its ability to imitate foreign advanced technologies. The second is its innovative capability, namely the extent to which it is able to produce new, advanced knowledge. Thus, the narrowing knowledge absorption and innovation gaps between regions improve a region's productivity level and move it up the value chain towards specialization in knowledge-intensive and high value-added activities. The following paper attempts to contribute to the existing empirical findings and theoretical discussion on the inter-linkages between knowledge absorption, innovation capability, determined technological change, and economic growth of EU regions. The author's results show that despite the fact that the EU has a long tradition in education and new knowledge generation, there is a very modest ability to make EU regions more productive and grow them. The important role of productivity and knowledge-based sectors in improving EU regional prosperity suggests to carefully examine which knowledge activities drive productivity and the catching-up process of the EU regions. Overall, prospects for catching up will depend largely on how regions balance higher education and R&D priorities and place emphasis on the above activities. These results may be regarded as supportive of recent EU regional policy based on the Lisbon and Europe 2020 Strategies of Smart Growth.

scholarly journals Understanding creative, information and knowledge determinants of the economic growth of the EU regions within smart development strategies

2021 ◽  
pp. 1295-1308 ◽  
Author(s):  
Taras Vasyltsiv ◽  
Olha Levytska ◽  
Ruslan Lupak ◽  
Oksana Gudzovata ◽  
Marta Kunytska-Iliash ◽  
...  
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Multivariate Regression Analysis ◽  
High Tech ◽  
Territorial Planning ◽  
Global Quality Of Life ◽  
Eu Regions ◽  
Smart Specialization ◽  
The Relationship ◽  
The Eu

The article substantiates the relevance and necessity of involving creativity, information and knowledge-based capital while forming and implementing the smart specialization policy of the EU regions. The scientific views on the relationship between the processes of economic growth, the use of creative, information and knowledge approaches, smart-oriented spatial and territorial planning are generalized. A new approach for assessing the creative, information and knowledge determinants of the EU regions’ economy transformations with the use of the multivariate regression analysis, a composite method, and strategic structural and functional design is developed. The scores of the sub-indices of the Global Innovation Index, the Global Talent Competitiveness Index and the World Digital Competitiveness Ranking are selected as the initial parameters of regression analysis. The relationships between these factors and the change in the GDP volume per capita, the share of GDP used for gross investment, high-tech exports, and the Global Quality of Life Index are revealed. The composite indicators of the concentration of creative and digital (ICT) industries in the EU regions are calculated (based on the level of enterprise concentration in an industry, the share of the employed in the field and the share of an industry in the regional economy in terms of wages). The priorities of smart specialization strategies of the EU’s individual regions, which are related to creative, information and knowledge factors, are identified. The calculations have confirmed sufficient closeness of the relationship between the use of creative, information and knowledge factors and the fulfillment of the tasks of smart specialization strategies in the EU regions. The sequence of the formation of tools and means for the implementation of the strategy of the regions’ smart specialization in the context of attraction and effective use of the determinants grouped by three directions (creativitization, digitalization and new knowledge) is presented.

scholarly journals Interregional R and D spillovers and regional convergence: a spatial econometric evidence from the EU regions

Equilibrium ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. 9 ◽  
Author(s):  
Andrea Furková ◽  
Michaela Chocholatá
Keyword(s):  
Economic Growth ◽  
Growth Process ◽  
Empirical Studies ◽  
Value Added ◽  
Empirical Literature ◽  
Regional Innovation ◽  
R And D ◽  
Eu Regions ◽  
Beta Convergence ◽  
The Eu

Research background: Many contemporary empirical studies and also most of economic growth theories recognize the importance of innovation and knowledge for achieving an economic growth. A large part of empirical literature has treated the issue of beta convergence without the spatial aspect, i.e. the possible spatial dependence among regions or states in growth process was neglected. Purpose of the article: In this paper, we investigate the link between selected R and D (Research and Development) indicators as proxies for the regional innovation and knowledge and economic performance of the region. We also assume a significant role of regional R and D spillovers in the regional growth process determination. Methods: The main methodological basis for our analysis is beta convergence approach and the dataset under the consideration consists of 245 NUTS 2 (Nomenclature of Units for Territorial Statistics) EU (European Union) regions during the 2003–2014 period. Our analysis is made with respect to spatial interactions across the EU regions. Findings and Value added: The influence of R and D indicators on the economic growth has been confirmed, and spatial interconnection across the EU regions have been proven. Potential existence of geographical R and D spillovers across the EU regions was examined by formulation of additional beta convergence model with spatial lag variables. We have identified that the influence of R and D spillovers is not strictly restricted to the neighbouring regions, but they spread across a larger area. For the construction of spatial lags of R and D indicators different spatial weight matrices were considered.

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