Assessing the effect of innovation determinants on macroeconomic development within the EU (28) countries

Innovations play an inevitable role in achieving macroeconomic growth of countries, and innovative activity is perceived as a source of sustainable development. This paper’s main objective is to explore the impact of innovation determinants on the macroeconomic development of the EU (28) member coun...

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Main Authors: Dana Kiselakova, Beata Sofrankova, Erika Onuferova, Veronika Cabinova
Format: Article
Language:English
Published: LLC "CPC "Business Perspectives" 2020-06-01
Series:Problems and Perspectives in Management
Subjects:
Online Access:https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/13647/PPM_2020_02_Kiselakova.pdf
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spelling doaj-597966f2c70b4280b89130ac341cd7f12020-11-25T03:50:48ZengLLC "CPC "Business Perspectives"Problems and Perspectives in Management1727-70511810-54672020-06-0118227728910.21511/ppm.18(2).2020.2313647Assessing the effect of innovation determinants on macroeconomic development within the EU (28) countriesDana Kiselakova0https://orcid.org/0000-0001-5662-5809Beata Sofrankova1https://orcid.org/0000-0001-9766-0467Erika Onuferova2https://orcid.org/0000-0001-8529-8843Veronika Cabinova3https://orcid.org/0000-0003-4367-3590Associate Professor of Management, Head, Department of Finance, University of Presov in Presov, PresovSenior Lecturer, Assistant of the Head, Department of Finance, University of Presov in Presov, PresovPh.D. Student, Department of Finance, University of Presov in Presov, PresovPh.D. Student, Department of Finance, University of Presov in Presov, PresovInnovations play an inevitable role in achieving macroeconomic growth of countries, and innovative activity is perceived as a source of sustainable development. This paper’s main objective is to explore the impact of innovation determinants on the macroeconomic development of the EU (28) member countries and identify key problem areas distorting sustainable development and growth of these countries. The research analysis is performed using panel data regression models estimated from 2010 to 2018. Innovation potential was quantified using selected indicators, such as patent granted, high-tech exports, gross domestic expenditures on R&D, government expenditure on education, direct investment, gross fixed capital, and tertiary educational attainment. Such indicators as real GDP per capita and GNI per capita were applied to measure economic growth. The results provide evidence of a statistically significant relationship between innovation and economic growth (p < 0.01). Therefore, both research hypotheses were accepted. Based on innovation potential assessment, the statistically significant impact of five indicators were confirmed (high-tech exports, gross domestic expenditure on R&D, government expenditure on education, direct investment, and tertiary educational attainment). In this backdrop, the most significant effect was revealed for variable gross domestic expenditure on R&D (0.5343). The findings lead to the conclusion that the EU’s and national innovation policies and initiatives should aim to create framework conditions that favor the innovation environment and increase R&D expenditure to endorse real economic growth. AcknowledgmentThis article has been prepared within the research project VEGA No. 1/0279/19 “Model approaches to increase performance and competitiveness in the European area in the context of sustainable development”.https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/13647/PPM_2020_02_Kiselakova.pdfeconomic growthinnovation potentialpanel data regression modelR&D expenditure
collection DOAJ
language English
format Article
sources DOAJ
author Dana Kiselakova
Beata Sofrankova
Erika Onuferova
Veronika Cabinova
spellingShingle Dana Kiselakova
Beata Sofrankova
Erika Onuferova
Veronika Cabinova
Assessing the effect of innovation determinants on macroeconomic development within the EU (28) countries
Problems and Perspectives in Management
economic growth
innovation potential
panel data regression model
R&D expenditure
author_facet Dana Kiselakova
Beata Sofrankova
Erika Onuferova
Veronika Cabinova
author_sort Dana Kiselakova
title Assessing the effect of innovation determinants on macroeconomic development within the EU (28) countries
title_short Assessing the effect of innovation determinants on macroeconomic development within the EU (28) countries
title_full Assessing the effect of innovation determinants on macroeconomic development within the EU (28) countries
title_fullStr Assessing the effect of innovation determinants on macroeconomic development within the EU (28) countries
title_full_unstemmed Assessing the effect of innovation determinants on macroeconomic development within the EU (28) countries
title_sort assessing the effect of innovation determinants on macroeconomic development within the eu (28) countries
publisher LLC "CPC "Business Perspectives"
series Problems and Perspectives in Management
issn 1727-7051
1810-5467
publishDate 2020-06-01
description Innovations play an inevitable role in achieving macroeconomic growth of countries, and innovative activity is perceived as a source of sustainable development. This paper’s main objective is to explore the impact of innovation determinants on the macroeconomic development of the EU (28) member countries and identify key problem areas distorting sustainable development and growth of these countries. The research analysis is performed using panel data regression models estimated from 2010 to 2018. Innovation potential was quantified using selected indicators, such as patent granted, high-tech exports, gross domestic expenditures on R&D, government expenditure on education, direct investment, gross fixed capital, and tertiary educational attainment. Such indicators as real GDP per capita and GNI per capita were applied to measure economic growth. The results provide evidence of a statistically significant relationship between innovation and economic growth (p < 0.01). Therefore, both research hypotheses were accepted. Based on innovation potential assessment, the statistically significant impact of five indicators were confirmed (high-tech exports, gross domestic expenditure on R&D, government expenditure on education, direct investment, and tertiary educational attainment). In this backdrop, the most significant effect was revealed for variable gross domestic expenditure on R&D (0.5343). The findings lead to the conclusion that the EU’s and national innovation policies and initiatives should aim to create framework conditions that favor the innovation environment and increase R&D expenditure to endorse real economic growth. AcknowledgmentThis article has been prepared within the research project VEGA No. 1/0279/19 “Model approaches to increase performance and competitiveness in the European area in the context of sustainable development”.
topic economic growth
innovation potential
panel data regression model
R&D expenditure
url https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/13647/PPM_2020_02_Kiselakova.pdf
work_keys_str_mv AT danakiselakova assessingtheeffectofinnovationdeterminantsonmacroeconomicdevelopmentwithintheeu28countries
AT beatasofrankova assessingtheeffectofinnovationdeterminantsonmacroeconomicdevelopmentwithintheeu28countries
AT erikaonuferova assessingtheeffectofinnovationdeterminantsonmacroeconomicdevelopmentwithintheeu28countries
AT veronikacabinova assessingtheeffectofinnovationdeterminantsonmacroeconomicdevelopmentwithintheeu28countries
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