Can government R&D expenditure promote innovation? New evidence from 37 OECD countries

This research employs a fixed effect model to empirically estimate panel data from 37 OECD countries spanning 2000 to 2021, revisiting the influence of government R&D expenditure on innovation within the theory of marginal diminishing effect. Results reveal a significant positive effect of government R&D expenditure on national innovation capacity, and this influence remains robust under robustness checks. Then, quantile regression uncovers a nuanced pattern, indicating that as a country’s innovation capacity strengthens, the stimulative effect of government R&D expenditure initially rises and subsequently declines. Additionally, incorporating lags of the independent variable at different periods affirms the time lag effect of government R&D expenditure on national innovation capacity. Deeper scrutiny using two fixed effect models including interaction terms reveals a multifaceted mechanism, where government R&D expenditure fosters innovation by promoting bank credit, yet simultaneously suppresses innovation by hindering non-governmental R&D intensity. Lastly, heterogeneity analysis affirms that government efficiency, democracy, ruling party ideology, political stability, and economic freedom moderate the link between government R&D expenditure and national innovation capacity. These insights offer new references for governments to promote innovation. First published online 23 October 2024.

Authors

Institutions

Publication Details

Journal
Technological and Economic Development of Economy
Published
2024-10-23
DOI
https://doi.org/10.3846/tede.2024.22293
Citations
8
Primary Topic
Innovation Policy and R&D
Type
article
Field-Weighted Citation Impact
9.03

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Can government R&D expenditure promote innovation? New evidence from 37 OECD countries

Yin Feng-chun, Lee Chin, Yemin Ding, Kun Zhou et al.
8 citations
Technological and Economic Development of Economy
Innovation Policy and R&D
9.03
article

Can government R&D expenditure promote innovation? New evidence from 37 OECD countries

Yin Feng-chun, Lee Chin, Yemin Ding, Kun Zhou, Farhad Taghizadeh–Hesary, Li Yaning
article en
8 citations

Abstract

This research employs a fixed effect model to empirically estimate panel data from 37 OECD countries spanning 2000 to 2021, revisiting the influence of government R&D expenditure on innovation within the theory of marginal diminishing effect. Results reveal a significant positive effect of government R&D expenditure on national innovation capacity, and this influence remains robust under robustness checks. Then, quantile regression uncovers a nuanced pattern, indicating that as a country’s innovation capacity strengthens, the stimulative effect of government R&D expenditure initially rises and subsequently declines. Additionally, incorporating lags of the independent variable at different periods affirms the time lag effect of government R&D expenditure on national innovation capacity. Deeper scrutiny using two fixed effect models including interaction terms reveals a multifaceted mechanism, where government R&D expenditure fosters innovation by promoting bank credit, yet simultaneously suppresses innovation by hindering non-governmental R&D intensity. Lastly, heterogeneity analysis affirms that government efficiency, democracy, ruling party ideology, political stability, and economic freedom moderate the link between government R&D expenditure and national innovation capacity. These insights offer new references for governments to promote innovation. First published online 23 October 2024.

Technological and Economic Development of EconomyVol. 31(2)
Universiti Putra Malaysia (MY), Tokai University (JP), Yancheng Teachers University (CN), Tashkent State University of Economics (UZ), Lebanese American University (LB)
Government of Jiangsu Province, Universiti Putra Malaysia, Jiangsu Provincial Department of Education
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
Innovation Policy and R&D
9.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.