Firm growth and R&D expenditure
276 citations recorded by the source corpus.
We apply a panel vector autoregression model to a firm-level longitudinal database to observe the co-evolution of sales growth, employment growth, profits growth and the growth of research and development (R&D) expenditure. Contrary to expectations, profit growth seems to have little detectable association with subsequent R&D investment. Instead, firms appear to increase their total R&D expenditure following growth in sales and employment. In a sense, firms behave ‘as if’ they aim for a roughly constant ratio of R&D to employment (or sales). We observe heterogeneous effects for growing or shrinking firms, however, suggesting that firms are less willing to reduce their R&D levels following a negative growth shock than they are willing to increase R&D after a positive shock.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/5768f77afe04a61f8d6cff10a77e3786cd4c6b9d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- F. Quatraro
- Sandro Montresor
- Alessandra Colombelli
- Jackie Krafft
- Alex Coad
- A. Segarra
- Mercedes Teruel
- M. Vivarelli
Citations in the corpus
- High-growth firms and technological knowledge: do gazelles follow exploration or exploitation strategies? (2014, methodology): “When other dependent variables are taken into account, like the R&D (see Coad and Rao, 2010), the implementation of quantile regressions assign firms to different classes according the growth rate of R&D expenditure, and not on the basis of firms’ growth.”
- High-growth firms and productivity: evidence from the United Kingdom (2015, background): “, 1996; Huynh and Petrunia, 2010), R&D expenditure (Coad and Rao, 2010) and innovative activity (Mason et al.”
- R&D drivers and age: : Are young firms different? (2014, background): “3 For a recent paper focused on the autoregressive nature of R&D investments, see Coad and Rao (2010).”
- High-growth firms and innovation: an empirical analysis for Spanish firms (2014, methodology): “Hence, quantile estimations provide more details about the sensitivity of the determinants of growth distribution (see also the previous analysis by Coad and Rao (2010)).”
- ‘Better late than never’: the interplay between green technology and age for firm growth (2017, methodology): “To address this research question, we rely on a novel methodological approach: a quantile regression analysis (e.g. Coad and Rao 2008; Coad and Rao 2010; Coad et al. 2013) performed by using a fixed effects estimation technique (Canay 2011).”
- Like milk or wine: Does firm performance improve with age? (2013, methodology): “20 See Coad (2010) for an analysis of French data, Coad and Rao (2010) for US data, and Coad et al. (2008) for an analysis of Italian data.”
- Innovation and firm growth: Does firm age play a role? (2016, unknown): “In others words, firms that enjoy growth (or even firms that anticipate that they will grow) may be able to commit resources to subsequent innovation activity (Coad and Rao, 2010).”
- Environmental regulations, induced R&D, and productivity: Evidence from Taiwan's manufacturing industries (2012, unknown): “Based on the structure–conduct–performance (SCP) paradigm and referring to previous studies (e.g., Siddharthana and Agarwal, 1992; Grabowski and Vernon, 2000; Coad and Rao, 2010), the empirical model is specified as following the log–log specification and the estimated coefficient can be interpreted”
- Causal Inference by Independent Component Analysis: Theory and Applications* (2013, unknown): “These results are essentially identical to those obtained by Coad and Rao (2010).”