R&D and Productivity: Testing Sectoral Peculiarities Using Micro Data

Lesley Potters, Raquel Ortega-Argiles () and Marco Vivarelli ()
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Lesley Potters: Utrecht School of Economics

No 3338, IZA Discussion Papers from Institute for the Study of Labor (IZA)

Abstract: The aim of this study is to investigate the relationship between a firm's R&D activities and its productivity using a unique micro data panel dataset and looking at sectoral peculiarities which may emerge; more specifically, we used an unbalanced longitudinal database consisting of 532 top European R&D investors over the six-year period 2000-2005. Our main findings can be summarised along the following lines: knowledge stock has a significant positive impact on a firm's productivity, with an overall elasticity of about 0.125; this general result is largely consistent with previous literature in terms of the sign, the significance and the estimated magnitude of the relevant coefficient. More interestingly, the coefficient increases monotonically when we move from the low-tech to the medium-high and high-tech sectors, ranging from a minimum of 0.05/0.07 to a maximum of 0.16/0.18. This outcome, in contrast with recently-renewed acceptance of low-tech sectors as a preferred target of R&D investment, suggests that firms in high-tech sectors are still far ahead in terms of the impact on productivity of their R&D investments, at least as regards top European R&D investors.

Keywords: perpetual inventory method; R&D; panel data; knowledge stock; productivity (search for similar items in EconPapers)
JEL-codes: O33 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-eff, nep-ino, nep-knm and nep-tid
Date: Written
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Working Paper: R&D and Productivity: Testing Sectoral Peculiarities Using Micro Data (2009)
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