Econometric analysis of SMEs in Eurozone

Radmila  Stoklasová

doi:10.23762/FSO_VOL6NO1_18_6

Published : 2018-03-14

Vol. 6 No. 1 (2018)

Econometric analysis of SMEs in Eurozone

Radmila Stoklasová

DOI: https://doi.org/10.23762/FSO_VOL6NO1_18_6

Abstract

The purpose of this paper is to empirically investigate the relationship between labour productivity (LP) and government spending on research and development (R&D) in the Eurozone. In particular, its purpose is to investigate this relationship in the case of small and medium enterprises (SMEs). By utilizing causality tests and error correction models, the results suggest that support of research and development is the cause of labour productivity growth in the long-term period. However, for the short-term period changes in labour productivity precede changes in government spending on research and development. Based on the findings, the study has several theoretical and practical implications. The data sources were the Eurostat database. The data used have the character of annual time series in the period between 2004 and 2015. GRETL software was used for the calculations.

Keywords:

Error correction model, expenditure on R&D, Granger causality, labour productivity, regression analysis, small and medium-size enterprises, Solow model

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Stoklasová , R. . (2018). Econometric analysis of SMEs in Eurozone. Forum Scientiae Oeconomia, 6(1), 19–29. https://doi.org/10.23762/FSO_VOL6NO1_18_6

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Radmila Stoklasová

stoklasova@opf.slu.cz

Affiliation:

Silesian University in Opava, School of Business Administration in Karvina, Czech Republic Czechia

Bio Statement (e.g., department and rank)

Radmila Stoklasová is an assistant professor at the Silesian University in Opava, School of Business Administration in karvina. She has graduated in Mathematical Analysis at the Palacký University in Olomouc, Faculty of Science. She has graduated as Ph.d. in Applied Mathematics at the University of Ostrava, Faculty of Science. Her scientific research is focused on econometric analysis and analysis of time series.