Analyzing Regional Macroeconomic Effectiveness of R&D Investment and Government Subsidies

This study empirically analyzes the impacts of regional R&D investment and government subsidies on regional economic growth and economic disparities between capital and non-capital regions, by utilizing regional yearly panel data. In particular, this study introduces structural vector auto-regression(SVAR) model based on conditional convergence of neoclassical growth theory, considering econometrical issues related to conventional growth regression analyses. The study finds that the increase in R&D investment of non-capital areas measured by its ratio to GRDP accelerates regional economic growth and mitigates the economic disparities between capital and non-capital areas. However, government R&D subsidy to those regions shows no empirically significant effect on regional economic growth or economic disparity between capital and non-capital areas. On the aspects of reducing regional disparity between capital and non-capital area, this study’s empirical finding is an indicative of the existence of less ‘opportunity cost-effective’ portions in government R&D subsidy programs, and thus further micro-level analyses on the policy effectiveness of government R&D subsidy programs is required.

Authors

Publication Details

Journal
Korean Development Economics Association
Published
2024-12-31
DOI
https://doi.org/10.20464/kdea.2024.30.3.1
Primary Topic
Innovation Policy and R&D
Type
article
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article

Analyzing Regional Macroeconomic Effectiveness of R&D Investment and Government Subsidies

Juneyoung Lee
Korean Development Economics Association
Innovation Policy and R&D
article

Analyzing Regional Macroeconomic Effectiveness of R&D Investment and Government Subsidies

Juneyoung Lee
article en

Abstract

This study empirically analyzes the impacts of regional R&D investment and government subsidies on regional economic growth and economic disparities between capital and non-capital regions, by utilizing regional yearly panel data. In particular, this study introduces structural vector auto-regression(SVAR) model based on conditional convergence of neoclassical growth theory, considering econometrical issues related to conventional growth regression analyses. The study finds that the increase in R&D investment of non-capital areas measured by its ratio to GRDP accelerates regional economic growth and mitigates the economic disparities between capital and non-capital areas. However, government R&D subsidy to those regions shows no empirically significant effect on regional economic growth or economic disparity between capital and non-capital areas. On the aspects of reducing regional disparity between capital and non-capital area, this study’s empirical finding is an indicative of the existence of less ‘opportunity cost-effective’ portions in government R&D subsidy programs, and thus further micro-level analyses on the policy effectiveness of government R&D subsidy programs is required.

Korean Development Economics AssociationVol. 30(3)
Openalex Percentile: Top 69%
Innovation Policy and R&D
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