Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/6407
Title: Effectiveness of fiscal incentives for innovation: Evidence from meta-regression analysis
Authors: Jose, Manu
Sharma, Ruchi
Issue Date: 2021
Publisher: John Wiley and Sons Ltd
Citation: Jose, M., & Sharma, R. (2021). Effectiveness of fiscal incentives for innovation: Evidence from meta-regression analysis. Journal of Public Affairs, 21(1) doi:10.1002/pa.2146
Abstract: This article examines the microeconometric evidence on the impact of government support for R&D and innovation. Our meta-regression analysis uses a dataset of empirical evidence on the effects of government R&D policies on innovation and investigates the factors that may explain the differences in the estimated effects. The meta-analysis is structured to include both the direct and indirect government support for R&D and innovation. The estimated results reveal the heterogeneity of empirical studies with respect to the type of incentive, data, and econometric methodology used. The results indicate that the output additionality effect is on average stronger for R&D tax incentives than subsidies. Studies that use the subsample of high technology sector show a stronger additionality effect of fiscal incentives on innovation. Moreover, small and medium enterprises have a stronger input additionality effect. The results also suggest that studies considered endogeneity issues have on average stronger additionality effect. © 2020 John Wiley & Sons, Ltd
URI: https://doi.org/10.1002/pa.2146
https://dspace.iiti.ac.in/handle/123456789/6407
ISSN: 1472-3891
Type of Material: Journal Article
Appears in Collections:School of Humanities and Social Sciences

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