03906ntm a22005057i 4500 000712888 CZ-PrVSE 20240615111821.0 m d cr n|||||||||| 240615s2024 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Gumbeze, Wish ISIS:173148 dis Relationship Between Innovation and Economic Growth : A Study on EU Countries eng Relationship Between Innovation and Economic Growth : A Study on EU Countries Wish Gumbeze 2024 ?? stran : digital, PDF soubor Vedoucí práce: Karel Brůna Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta financí a účetnictví, 2024 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2024 This master's thesis delves into the intricate relationship between innovation and economic growth within the European Union (EU). It centers on examining the interplay among patents (PAT), Gross Domestic Product Growth (GDP), and scientific articles (SCIJ). Employing various statistical methods such as panel regression models, fixed and random effects models, the Hausman test, and the Generalized Method of Moments (GMM), the empirical analysis extends from 2003 to 2020. Organized into three chapters, the study begins with a theoretical evaluation of innovation and economic growth, progressing to scrutinize the innovation system in EU countries. The third chapter unveils empirical research findings gleaned from data originating from 24 EU countries, illuminating the intricate dynamics between innovation and economic growth. Summary statistics offer insights into the distribution and characteristics of variables, highlighting variability and dependencies across different cross-sectional units. The correlation matrix uncovers the strength and direction of relationships among variables, emphasizing both positive and negative associations. The cross-sectional dependence (CD) test accentuates the interconnectedness among countries by rejecting the null hypothesis of independence for all variables. Significant insights into the relationship between GDP growth and independent variables are provided by Pooled OLS regression analysis and Random-Effects (GLS) model results, showcasing both positive and negative associations. Although the Generalized Method of Moments (GMM) models delve deeper into these relationships, concerns arise over the reliability of estimates due to an undefined standard error. The findings underscore the significance of balanced innovation policies and coordinated international efforts in fostering sustainable economic development. Způsob přístupu: Internet finance and accounting [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas Economic growth Innovation European Union Brůna, Karel, 1973- mzk2009543943 ths Šímová, Kateřina ISIS:101153 opn Vysoká škola ekonomická v Praze. Fakulta financí a účetnictví kn20010709398 dgg https://insis.vse.cz/zp/85062/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/85062 Hlavní práce https://insis.vse.cz/zp/85062/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/85062/posudek/oponent/81953 Oponentura https://insis.vse.cz/zp/85062/priloha/28000 Přiloha k práci https://insis.vse.cz/zp/85062/podrobnosti dc:identifier NEPOSILAT VSKP vse85062 240613 85062