Author ORCID Identifier
Document Type
Article
Disciplines
Economics, Econometrics, Business and Management.
Abstract
This paper uses unconditional quantile regression analysis to interrogate the effects of institutional quality on innovation outcomes. We assess important determinants of innovation such as property rights (including enforcement of intellectual property rights), human resources within R&D and high-technology exports. Regarding intellectual property rights, while most previous research focuses on patent strength (de jure or book law), we focus on de facto patent enforcement. Using data from the World Bank, the Heritage Foundation and a new patent enforcement index, we construct a panel of fifty countries covering 1998–2017. Our analysis reveals important new insights including the strongly negative impact of patent enforcement and human resources within R&D on less innovative economies, and the varying impacts across quantiles for key variables such as high-technology exports. We find that both stronger institutions and patent enforcement are not necessarily the best route to boosting innovation, especially in economies where existing innovative capacity is weak
DOI
https://doi.org/10.1016/j.technovation.2022.102562
Recommended Citation
Abhijit Sharma, Cristina Sousa, Richard Woodward, Determinants of innovation outcomes: The role of institutional quality, Technovation, Volume 118, 2022, 102562, ISSN 0166-4972, DOI: 10.1016/j.technovation.2022.102562
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Publication Details
Technovation, vol. 118, Article 102562
Published online:
https://www.sciencedirect.com/science/article/pii/S0166497222001092
https://doi.org/10.1016/j.technovation.2022.102562