Public R&D and Growth: A dynamic Panel Vector-Error-Correction Model Analysis for 14 OECD Countries

Thomas Ziesemer ()

Economies, 2024, vol. 12, issue 8, 1-33

Abstract: This paper addresses the controversial issue of the direct and indirect effects of public R&D on growth. We look at six variables of R&D-driven growth jointly for 14 OECD countries using methods of dynamic systems for panel data analysis: GDP, technical change, domestic and foreign businesses and public R&D. Cointegration tests suggest four long-run relations for the six variables. We estimate these relations using group mean versions of fully modified and dynamic OLS. Domestic public R&D has positive long-run regression coefficients for direct effects on productivity and indirect ones via private R&D. Here, we build a panel vector-error-correction model with these long-term relations. Shocks to domestic public R&D enhance domestic private R&D, technical change and the GDP. Permanent changes in foreign public and private R&D have positive growth effects, which are transitional for foreign public R&D.

Keywords: growth; R&D; productivity; OECD; panel cointegration; panel VECM; impulse response (search for similar items in EconPapers)
JEL-codes: E F I J O Q (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jecomi:v:12:y:2024:i:8:p:216-:d:1461688

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