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

Author

Listed:
  • Rey Dang

    (ICN Business School)

  • L'Hocine Houanti

    (La Rochelle Business School)

  • Aurélien Bonnand

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.

Suggested Citation

  • Rey Dang & L'Hocine Houanti & Aurélien Bonnand, 2016. "Exploring the Effect of Diversification Strategy on R&D Intensity using Quantile Regression: Evidence from France," Post-Print hal-01512768, HAL.
    • Handle: RePEc:hal:journl:hal-01512768
    DOI: 10.1080/13504851.2016.1153784
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    Cited by:

    1. Askarany, Davood & Spraakman, Gary, 2020. "Regional diversification and financial performance through an excess-capacity theory lens: A new explanation for mixed results," Technological Forecasting and Social Change, Elsevier, vol. 156(C).

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