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R&D organization, monitoring intensity, and innovation performance in chinese industry

This paper examines the relationship between organizational design and technological innovation in Chinese industry. In a principal-agent model, monitoring intensity is an endogenously determined input to innovation production. A recursive system of an innovation production function and a monitoring intensity equation, where the latent monitoring intensity is indicated by the existence of an R&D organization, is estimated with a nonlinear two-stage estimator for a sample of large- and medium-sized Chinese state-owned enterprises. It is the first knowledge production function estimate for China's enterprises. I find that R&D organization affects innovation performance positively and significantly.

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File URL: http://www.tandfonline.com/doi/abs/10.1080/10438590303124
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Article provided by Taylor & Francis Journals in its journal Economics of Innovation and New Technology.

Volume (Year): 12 (2003)
Issue (Month): 2 ()
Pages: 117-144

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Handle: RePEc:taf:ecinnt:v:12:y:2003:i:2:p:117-144
DOI: 10.1080/10438590303124
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  1. Grossman, Sanford J. & Hart, Oliver D., 1986. "The Costs and Benefits of Ownership: A Theory of Vertical and Lateral Integration," Scholarly Articles 3450060, Harvard University Department of Economics.
  2. Zvi Griliches, 1998. "The Search for R&D Spillovers," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 251-268 National Bureau of Economic Research, Inc.
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  17. Cohen, Wesley M & Klepper, Steven, 1996. "A Reprise of Size and R&D," Economic Journal, Royal Economic Society, vol. 106(437), pages 925-51, July.
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