Research and Development and Gross Domestic Product Per Inhabitant in the Visegrad Group
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F17%3APU124551" target="_blank" >RIV/00216305:26510/17:PU124551 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.badania-gospodarcze.pl/images/books/15.pdf" target="_blank" >http://www.badania-gospodarcze.pl/images/books/15.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Research and Development and Gross Domestic Product Per Inhabitant in the Visegrad Group
Popis výsledku v původním jazyce
Research background: This contribution analyses the relationship between Research and Development funding’s and economic growth within the Visegrad Group during the period 2005-2014. The studied geographical area is regions NUTS 2 of the Visegrad Group. The indicators considered in this contribution are GDP per inhabitant, percentage of GERD performed by business sector and GERD as percentage of GDP. The econometric analysis show that R&D Intensity is an important driver of economic growth (R = 0.64) that is measured by GDP per in-habitant in PPS. This contribution is the result of a two-phase research fellowship funded by the Internal Grant Agency of the Brno University of Technology. The first phase project research produced a regression analyze with dependent variable GDP per inhabitant and independent variable GERD as percentage of GDP. In the second phase of the research were formulated econometric models. Purpose of the article: This contribution answers the following question: Can the Visegrad Group Members reach the Europa 2020 Strategy target in R&D, i.e. 3% of GDP to be invested into the R&D sector. Methodology/methods: This research uses Eurostat database for the analysis of the relationship between R&D funding by the business sector and the corre-sponding economic growth. The research is based on dependent variable GDP per capita and independent variables: GERD and R&D Intensity during the period 2005-2014. The fit goodness of the model is evaluated the determination coeffi-cient, using T-test on the regression coefficients. The autocorrelation in the residu-als is checked by applying the Durbin-Watson (D-W) test. The statistical analyze is performed by using Stepwise Multiple Regression in software STATISTICA 12. Findings: Main result of research provides relationship between economic growth measured by GDP per inhabitant and R&D expenditures as percentage of GDP. The studied statistical data set is 38 NUTS 2 regions in Visegrad Group. If the Visegrad
Název v anglickém jazyce
Research and Development and Gross Domestic Product Per Inhabitant in the Visegrad Group
Popis výsledku anglicky
Research background: This contribution analyses the relationship between Research and Development funding’s and economic growth within the Visegrad Group during the period 2005-2014. The studied geographical area is regions NUTS 2 of the Visegrad Group. The indicators considered in this contribution are GDP per inhabitant, percentage of GERD performed by business sector and GERD as percentage of GDP. The econometric analysis show that R&D Intensity is an important driver of economic growth (R = 0.64) that is measured by GDP per in-habitant in PPS. This contribution is the result of a two-phase research fellowship funded by the Internal Grant Agency of the Brno University of Technology. The first phase project research produced a regression analyze with dependent variable GDP per inhabitant and independent variable GERD as percentage of GDP. In the second phase of the research were formulated econometric models. Purpose of the article: This contribution answers the following question: Can the Visegrad Group Members reach the Europa 2020 Strategy target in R&D, i.e. 3% of GDP to be invested into the R&D sector. Methodology/methods: This research uses Eurostat database for the analysis of the relationship between R&D funding by the business sector and the corre-sponding economic growth. The research is based on dependent variable GDP per capita and independent variables: GERD and R&D Intensity during the period 2005-2014. The fit goodness of the model is evaluated the determination coeffi-cient, using T-test on the regression coefficients. The autocorrelation in the residu-als is checked by applying the Durbin-Watson (D-W) test. The statistical analyze is performed by using Stepwise Multiple Regression in software STATISTICA 12. Findings: Main result of research provides relationship between economic growth measured by GDP per inhabitant and R&D expenditures as percentage of GDP. The studied statistical data set is 38 NUTS 2 regions in Visegrad Group. If the Visegrad
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
50602 - Public administration
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
9th International Conference on Applied Economics: Contemporary Issues in Economy
ISBN
978-83-65605-03-0
ISSN
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e-ISSN
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Počet stran výsledku
1
Strana od-do
75-75
Název nakladatele
Institute of Economic Research
Místo vydání
Torun
Místo konání akce
Toruń, Poland
Datum konání akce
22. 6. 2017
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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