Does innovation and education affect economic growth? A data-driven approach using panel data

Tan Huu Nguyen; Binh Van Nguyen; Thuong Thu Nguyen; Duc Huu Luu

doi:10.24294/jipd.v8i8.5693

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Does innovation and education affect economic growth? A data-driven approach using panel data

Tan Huu Nguyen

Binh Van Nguyen

Thuong Thu Nguyen

Duc Huu Luu

Journal of Infrastructure Policy and Development 2024, 8(8), 5693; https://doi.org/10.24294/jipd.v8i8.5693

Submitted：07 Apr 2024

Accepted：07 Apr 2024

Published：21 Aug 2024

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Abstract

This study investigates the intricate relationship between a nation’s GDP growth rate and three key variables: the number of granted patents, research and development (R&D) expenditure, and education expenditure. The purpose of the research is to discern the impact of these factors on GDP growth rates. Drawing on theoretical frameworks, including Dynamic Ordinary Least Squares (DOLS), Fully Modified Ordinary Least Squares (FMOLS), and Canonical Correlation Regression (CCR) techniques, the paper employs a robust methodological approach to unveil insights into the dynamics of economic growth. Contrary to conventional assumptions, the results reveal a negative correlation between R&D expenditure and GDP growth rate. In contrast, the number of patents granted and education expenditure shows a positively significant effect on the GDP growth rate, underscoring the pivotal roles of intellectual property creation and education investment in fostering economic growth. The conclusion emphasizes the importance of a nuanced understanding of these relationships for policymakers. The research’s implications highlight the need for balanced investments in innovation and education. The originality and value of this study lie in its unique findings challenging established beliefs about the impact of R&D expenditure on economic growth.

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References

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