A Win-Win-Win? Motivating innovation in a knowledge economy with tax incentives
d’Andria, D. and
Ivan Savin
Authors registered in the RePEc Author Service: Diego d'Andria
Technological Forecasting and Social Change, 2018, vol. 127, issue C, 38-56
Abstract:
In this study we explore effects of two distinct tax policies on innovation in a pure knowledge economy: an ‘IP box’ incentive and a (hypothetical) tax incentive on compensation earned by agents from profit sharing schemes (PSS). In contrast to the conventional assumption that firms decide on whether to innovate or not, we focus on a bottom-up innovation process (sometimes also called ‘bootleg innovation’), where firms set incentives to fulfill different tasks, but the final decision on whether to make the more innovative task is taken by an employee. We compare the two tax incentives under several distinct specifications demonstrating that the tax incentive on PSS can be a powerful mechanism fostering innovative activity and benefiting at the same time workers, firms and the economy as a whole. This study shows that the more critical for firms is attracting and motivating highly skilled workers, the larger the expected gain from employing the tax incentive on agents' compensation. We also find that the relative efficacy of this tax incentive is moderated by labor mobility and the extent of knowledge spillovers.
Keywords: Bottom-up innovation; Knowledge economy; Profit sharing schemes; Tax incentives for R&D; Financing of R&D investments (search for similar items in EconPapers)
JEL-codes: H2 J33 O3 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162517307308
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:127:y:2018:i:c:p:38-56
DOI: 10.1016/j.techfore.2017.05.030
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().