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R&D tax credits and subsidies: Implications for innovation novelty in emerging economies

Pelin Demirel, Effie Kesidou, Lichao Wu

Research output: Contribution to journalArticlepeer-review

Abstract

The impact of different policy instruments and policy mixes on innovation novelty remains unclear, particularly in emerging economies. This study contributes to the literature by examining the context-specific associations between innovation policies and different magnitudes of novelty in innovation outcomes. Our findings suggest that exposure to R&D tax credits is associated with increases in innovations that can be considered both as relatively more novel and less novel, in line with the market conforming design R&D tax credits that mimic firms' existing R&D portfolios. Conversely, R&D subsidies, often characterised by ‘picking the winners’, are mainly associated with relatively less novel innovation outcomes. We further show that policy mixes that involve R&D subsidies are more likely to support relatively less novel, domestic innovations. Building on Sanjaya Lall's technological capability approach, we propose a conceptualization of incremental innovation and argue that R&D subsidies should not be viewed merely as a misallocation of resources toward relatively less novel innovations at the expense of more novel alternatives. Instead, they should be seen as a context-specific policy mechanism for enabling emerging economies to build and accumulate the technological capabilities necessary for innovation. We empirically test these hypotheses using a unique longitudinal dataset (2013−2021) of 4162 publicly traded firms in China and estimate conditional treatment effects using a propensity score matching method. Our results underscore the nuanced and context-specific effects of R&D tax credits and subsidies on innovation novelty, offering new insights for innovation policy in emerging economies.
Original languageEnglish
Article number124729
JournalTechnological Forecasting and Social Change
Volume230
Early online date15 May 2026
DOIs
Publication statusE-pub ahead of print - 15 May 2026

Acknowledgements

The authors would like to thank Xinyi Fang for her excellent research assistance.

Funding

This research is funded by the National Social Science Foundation of China (grant number 21BJL088).

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