Does the EU Funding Increase Competitiveness of Firms by Supporting Organisational Changes?

Martinez, Felipe; Potluka, Oto

doi:10.7441/joc.2015.02.02

Cited by 8 publications

(7 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the research concerning highly developed economies one can point out a few most significant segments of national institutional systems that determine productivity growth, thus long term well-being of societies, in the reality of the global knowledge-based economy (Balcerzak, 2015;Balcerzak and Pietrzak, 2016c). The crucial role is given to the system of regulations that influence the incentives for entrepreneurship and the effectiveness of financial systems institutions that together create the framework for high supply of enterprises with high growth potential (Felipe and Oto, 2015;Zineker et al, 2013;Zinecker and Bolf, 2015;Meluzín and Zinecker, 2016;Fałdziński et al, 2016). These enterprises are responsible for providing new technological and organizational solutions giving the base for productivity growth.…”

Section: The Main Determinants Of Quality Of Institutions For Global mentioning

confidence: 99%

Quality of Institutions for Knowledge-based Economy within New Institutional Economics Framework. Multiple Criteria Decision Analysis for European Countries in the Years 2000–2013

Balcerzak¹,

Pietrzak²

2016

Economics &Amp; Sociology

View full text Add to dashboard Cite

The article concentrates on the problem of quality of institutions in the European Union countries in the context of their compatibility with the global knowledge-based economy. The main objective of the article is to evaluate the progress obtained in that field by New Member States of the European Union in the years 2000-2013. The empirical research is based on the following hypothesis: the integration process of Central European countries with the European Union has influenced the acceleration of changes leading to improvement in the quality of their institutional systems in the context of global knowledge-based economy. The first part of the paper presents the most important determinants of the ability of a country to utilize the potential of the knowledge-based economy. This analysis is conducted on the basis of institutional economics specifically transaction cost theory. In the empirical part multiple criteria decision analysis methodology (MCDA) (the modified TOPSIS method) is applied. Data from Fraser Institute data base for Economic Freedom of the World Report has been used. The empirical research is the source of significant arguments in favor of the hypothesis of the paper.

show abstract

Section: The Main Determinants Of Quality Of Institutions For Global mentioning

confidence: 99%

Quality of Institutions for Knowledge-based Economy within New Institutional Economics Framework. Multiple Criteria Decision Analysis for European Countries in the Years 2000–2013

Balcerzak¹,

Pietrzak²

2016

Economics &Amp; Sociology

View full text Add to dashboard Cite

show abstract

“…The emphasis is put on improvement of R&D, and innovation funding, which happens to be one of the objectives in Europe 2020 Strategy for improving competitiveness of the EU (Martinez & Potluka, 2015). The ambition is to ensure public and private investment in order to achieve 3% of GDP (EC, 2010).…”

Section: Randd Expenditures and Innovations In The Eu Contextmentioning

confidence: 99%

Innovation performance and R&D expenditures in Western European regions: Divergence or convergence?

Bednář¹,

Halásková²

2018

Journal of International Studies

View full text Add to dashboard Cite

Although Western Europe is a global leader in innovation activities among the OECD countries, these activities are not distributed evenly across NUTS 2 regions. Thus, the analysis of convergence or divergence related to innovation performance and R&D expenditures among Western European NUTS 2 regions is posed as the aim of this paper. Applying differential local version of spatial autocorrelation (LISA), difference-in-difference estimation the paper reveals the local variation of convergence and divergence and general spatial regime divergence in innovation performance and R&D expenditures within Western European NUTS 2 regions. Moreover, spatial lag cross-sectional regression provides support to the consideration of R&D expenditures as determinant for innovation performance along with the continuing divergence between most of Western and Southern European NUTS 2 regions and the others. Thus, the results confirm the stability in innovation performance and R&D expenditures in Western European NUTS 2 regions which could be the source of lagging behind not only other OECD countries but BRICS countries as well. On the regional level several NUTS 2 regions demonstrated the convergence dynamics, however, the general spatial divergence regime should lead to more actions regarding R&D polices under the EU programming period of 2014-2020.

show abstract

“…It was also determined that EU structural funds have significant influence on infrastructure and macroeconomic, scientific and social environment (Remeikiene & Gaspareniene, 2016). Research in the Czech Republic showed that only European Social Fund has helped to increase productivity (Martinez & Potluka, 2015). The authors that researched the export competitiveness and productivity in Lithuania, argue that the export competitiveness is a derivative of main factors' productivities (Travkina & Tvaronaviciene, 2011).…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of competitiveness of industries in regions and global market

Auziņa-Emsiņa¹,

Ozoliņa²

2018

Economic Science for Rural Development

View full text Add to dashboard Cite

The paper is devoted to the analysis and evaluation of competitiveness of industries in regions and global market. In the research, one EU economy (Latvia) is examined; however, the methodology and set of indicators can be applied to other EU countries. The aim of the research is to elaborate a set of indicators, in order to evaluate the competitiveness of industries. Productivity and ratio of exports to imports by industries are used to identify the competitiveness of industries in the regions and in global market. The authors argue that that competitiveness of industries in the regions and global market is inhomogeneous and the average national level indicators do not disclose the regional specifics due to the large distribution of indicators' values. The authors argue that the competitiveness of industries in global market are strongly determined by productivity, hence we recommend the policy makers to elaborate programmes that are aimed at potential productivity improvements in industries that are located in the regions and hence use the available EU funds in this financial period as efficiently as possible. Since Latvia is regarded as one region in NUTS 2, the regional development and cohesion is heavily dependent on the national rather than the EU activities.

show abstract

Does the EU Funding Increase Competitiveness of Firms by Supporting Organisational Changes?

Cited by 8 publications

References 31 publications

Quality of Institutions for Knowledge-based Economy within New Institutional Economics Framework. Multiple Criteria Decision Analysis for European Countries in the Years 2000–2013

Quality of Institutions for Knowledge-based Economy within New Institutional Economics Framework. Multiple Criteria Decision Analysis for European Countries in the Years 2000–2013

Innovation performance and R&D expenditures in Western European regions: Divergence or convergence?

Evaluation of competitiveness of industries in regions and global market

Contact Info

Product

Resources

About