Which indicators explain national innovation performance best A comparative analysis by levels of income

This study examines the relative importance of institutional factors in driving national innovation across different income levels. Using World Intellectual Property Organization's Global Innovation Index data for 132 countries and the last ten years (2013-2023), we employ fixed-effects regression models to analyse political, regulatory, and economic impacts on innovation outcomes. Results indicate that political stability is crucial for low-income countries, while the rule of law shows varied effects across income levels. Surprisingly, government effectiveness and regulatory quality demonstrate limited impact. Business and market sophistication emerge as stronger predictors of innovation outcomes than traditional institutional variables. These findings suggest the need for tailored innovation policies that consider a country's developmental stage and emphasise the role of sophisticated business practices and market structures in fostering innovation. Our study contributes to the literature by utilising standardised global data, enabling more reliable cross-country comparisons of innovation performance.

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Publication Details

Journal
International Journal of Technological Learning Innovation and Development
Published
2025-01-01
DOI
https://doi.org/10.1504/ijtlid.2025.149342
Primary Topic
Innovation Policy and R&D
Type
article
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article

Which indicators explain national innovation performance best A comparative analysis by levels of income

Zafer Sönmez, Faisal Saad Al Monawer
International Journal of Technological Learning Innovation and Development
Innovation Policy and R&D
article

Which indicators explain national innovation performance best A comparative analysis by levels of income

Zafer Sönmez, Faisal Saad Al Monawer
article en

Abstract

This study examines the relative importance of institutional factors in driving national innovation across different income levels. Using World Intellectual Property Organization's Global Innovation Index data for 132 countries and the last ten years (2013-2023), we employ fixed-effects regression models to analyse political, regulatory, and economic impacts on innovation outcomes. Results indicate that political stability is crucial for low-income countries, while the rule of law shows varied effects across income levels. Surprisingly, government effectiveness and regulatory quality demonstrate limited impact. Business and market sophistication emerge as stronger predictors of innovation outcomes than traditional institutional variables. These findings suggest the need for tailored innovation policies that consider a country's developmental stage and emphasise the role of sophisticated business practices and market structures in fostering innovation. Our study contributes to the literature by utilising standardised global data, enabling more reliable cross-country comparisons of innovation performance.

International Journal of Technological Learning Innovation and DevelopmentVol. 16(4)
Conference Board of Canada (CA), Kuwait University (KW), Al-Sabah Hospital (KW)
Openalex Percentile: Top 60%
Innovation Policy and R&D
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Which indicators explain national innovation performance best A comparative analysis by levels of income — Zafer Sönmez, Faisal Saad Al Monawer · International Journal of Technological Learning Innovation and Development (2025) | TGRS Research Map | TGRS