Abstract
This paper employs the Olley and Pakes (1996) method and the generalized propensity score (GPS) methodology to estimate the effects of R&D and its different types, including research activity and development activity, on productivity. Our research sample is an unbalanced panel data consisting of 1808 Chinese listed manufacturing firms from the period 2006-2015. Our analysis reveals how R&D and its different types impact firm productivity: (1) there exists an S-shaped relationship between firm R&D intensity and productivity, which implies the existence of the threshold and diminishing marginal return of R&D for productivity growth. Due to the unbalanced composition of R&D in China, after R&D intensity reaches a critical level (around 50%) a negative marginal effect of R&D presents; (2) an increase of research intensity can improve firm productivity. However, research intensity reaches a saturation point (around 65%) beyond which firm productivity plateaus; (3) there exists an inverted U-shaped relationship between firm development intensity and productivity. The marginal effect of development on firm productivity is negative when development intensity is over 28%. Our empirical evidence implies that firms need to optimize the composition of R&D expenditure in order to realize sustained productivity growth.
Original language | English |
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Journal | International Journal of Innovation Management |
Volume | 26 |
Issue number | 8 |
DOIs | |
Publication status | Published - 9 Mar 2023 |
Keywords
- firm productivity
- R&D
- research activity
- development activity
- R&D composition
- generalized propensity score