Exploring the Effect of Diversification Strategy on R&D Intensity using Quantile Regression: Evidence from France

Rey Dang (), L'Hocine Houanti () and Aurélien Bonnand
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Rey Dang: ICN Business School
L'Hocine Houanti: La Rochelle Business School

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Abstract: This study examines the relationship between firm diversification strategy and R&D intensity for a sample of large French companies between 2008 and 2012. Applying quantile regression, we provide evidence that the choice of diversification affects R&D intensity in a differentiated way. The results indicate that a low level of diversification (below the twentieth quantile) has no significant impact on R&D intensity. Conversely, a moderate or high level of diversification has a negative and significant impact on R&D intensity. These findings suggest that R&D intensity seems to be significantly higher in related-business firms than in unrelated-business firms.

Keywords: Quantile regression; R&D; diversification (search for similar items in EconPapers)
Date: 2016
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Published in Applied Economics Letters, 2016, 23 (18), pp.1317-1320. ⟨10.1080/13504851.2016.1153784⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01512768

DOI: 10.1080/13504851.2016.1153784

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