Industry R&D intensity distributions: regularities and underlying determinants |
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Authors: | Chang-Yang Lee |
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Affiliation: | (1) Graduate School of Management, KAIST (Korea Advanced Institute of Science and Technology), 207-43 Cheongryangri, Dongdaemun, Seoul, 130-868, Korea (e-mail: drcylee@kgsm.kaist.ac.kr) , KR |
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Abstract: | This paper aims to examine the nature of the distributions of firm R&D intensities within industries and explore the factors that underlie the industry R&D intensity distributions. In particular, following the seminal study by Cohen and Klepper (1992) and using some new and rich data on firm R&D intensities for seven industries across six countries, this study examines the regularities in the industry R&D intensity distributions and demonstrates, based on a simple model of firm R&D, that the industry R&D intensity distributions are governed by the distributions of technological competence, a measure of firm R&D productivity, which corresponds to the notion of the “unobserved R&D-related capabilities” suggested by Cohen and Klepper (1992). This study found that firm R&D intensities within industries are lognormally distributed, displaying a strikingly regular pattern across industries, that the industry distributions of the levels of technological competence are also lognormal, and that, based on the formal model of firm R&D and the notion of the unobserved R&D-related capabilities, the distribution of firm technological competence within an industry underlies the industry's firm R&D intensity distribution. |
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Keywords: | : R& D intensity distributions – Lognormal distribution – Technological competence |
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