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Internal and external R&DF complements or substitutes? Evidence from a dynamic panel data model

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Author Info
Boris Lokshin
Rene Belderbos
Martin Carree

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Abstract

We examine the impact of internal and external R&D on labor productivity in a 6-year panel of 304 innovating firms. We apply a dynamic linear panel data model that allows for decreasing returns to scale in internal and external R&D with a non-linear approximation of changes in the knowledge stock. We find complementarity between internal and external R&D, with a positive impact of external R&D only evident in case of sufficient internal R&D. The findings confirm the role of internal R&D in enhancing absorptive capacity and hence the effective utilization of external knowledge. These results suggest that empirical studies examining complementarities between continuously measured practices should adopt more general non-linear specifications to allow for correct inferences.

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Paper provided by Institute of Economic Research, Hitotsubashi University in its series Hi-Stat Discussion Paper Series with number d06-163.

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Date of creation: May 2006
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Handle: RePEc:hst:hstdps:d06-163

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Related research
Keywords: R&D; Innovation; Complementarity; Dynamic panel data; Productivity;

Find related papers by JEL classification:
O32 - Economic Development, Technological Change, and Growth - - Technological Change - - - Management of Technological Innovation and R&D
O33 - Economic Development, Technological Change, and Growth - - Technological Change - - - Technological Change: Choices and Consequences; Diffusion Processes
D24 - Microeconomics - - Production and Organizations - - - Production; Capital and Total Factor Productivity; Capacity

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References listed on IDEAS
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  13. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August. [Downloadable!] (restricted)
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  14. Audretsch, D-B & Menkveld, A-J & Thurik, A-R, 1996. "The Decision Between Internal and External R&D," Papers 9603/e, NEUHUYS - RESEARCH INSTITUTE FOR SMALL AND MEDIUM.
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  17. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor and Francis Journals, vol. 19(3), pages 321-340. [Downloadable!] (restricted)
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  18. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May. [Downloadable!] (restricted)
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  22. Belderbos, René & Carree, Martin & Lokshin, Boris, 2006. "Complementarity in R&D cooperation strategies," Research Memoranda 013, Maastricht : METEOR, Maastricht Research School of Economics of Technology and Organization. [Downloadable!]
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  23. Tor Jakob Klette and Frode Johansen, 1996. "Accumulation of R&D Capital and Dynamic Firm Performance: A Not-so-fixed Effect Model," Discussion Papers 184, Research Department of Statistics Norway.
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(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Alessandra Catozzella & Marco Vivarelli, 2007. "The Catalysing Role of In-House R&D in Fostering the Complementarity of Innovative Inputs," IZA Discussion Papers 3126, Institute for the Study of Labor (IZA). [Downloadable!]
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