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Parametric testing of the relationship between research and development (R&D) and firm size is limited by the hypothesized functional form, predominantly assumed to be linear in the logarithms of both variables. With a transformation of variables, the null hypothesis of constant returns to scale can be tested employing the multiple-rank F-test procedure. The findings of this analytical approach suggest that R&D intensity varies with firm size in some industries but not in others, and where it does vary, there is more evidence that R&D intensity is negatively rather than positively related to firm size.
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Holmes et al. (1991) studied this question.
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