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The Effects of Innovation on Performance of Korean Firms

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  • Heshmati, Almas

    ()
    (Ratio)

  • Kim, Yee-Kyoung

    ()
    (Seoul National University)

  • Kim, Hyesung

    (Seoul National University)

Abstract

This study empirically examines the relationship between knowledge capital and performance heterogeneity at the firm level. The model is based on a knowledge production function comprising of four interdependent equations linking innovativeness to innovation input, innovation output and productivity. The empirical part is based on Korean firm level innovation data. The model is estimated using advanced econometric methods. We investigate whether innovation is a significant and contributing determinant of performance heterogeneity among firms. In examining the relationship between innovation and productivity we correct for selectivity and simultaneity biases. The results show that there is a two-way causal relationship between knowledge capital and labor productivity. Firm-specific effects positively contribute to innovation output but they are negatively related to productivity. Industry heterogeneity does not affect innovation output or productivity.

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Bibliographic Info

Paper provided by The Ratio Institute in its series Ratio Working Papers with number 90.

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Length: 35 pages
Date of creation: 25 Apr 2006
Date of revision:
Handle: RePEc:hhs:ratioi:0090

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Keywords: Innovation Input; Innovation Output; Productivity; Korea;

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References

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  1. Klette, T.J. & Griliches, Z., 1998. "Empirical Patterns of Firm Growth and R&D Investment: a Quality Ladder Model Interpretation," Memorandum 23/1998, Oslo University, Department of Economics.
  2. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343 National Bureau of Economic Research, Inc.
  3. Lucia Foster & John C. Haltiwanger & C. J. Krizan, 2001. "Aggregate Productivity Growth. Lessons from Microeconomic Evidence," NBER Chapters, in: New Developments in Productivity Analysis, pages 303-372 National Bureau of Economic Research, Inc.
  4. 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.
  5. Eric J. Bartelsman & Mark Doms, 2000. "Understanding productivity: lessons from longitudinal microdata," Finance and Economics Discussion Series 2000-19, Board of Governors of the Federal Reserve System (U.S.).
  6. Cohen, Wesley M. & Levin, Richard C., 1989. "Empirical studies of innovation and market structure," Handbook of Industrial Organization, in: R. Schmalensee & R. Willig (ed.), Handbook of Industrial Organization, edition 1, volume 2, chapter 18, pages 1059-1107 Elsevier.
  7. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
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Cited by:
  1. Daria Ciriaci, 2011. "Intangible resources: the relevance of training for European firms’ innovative performance," JRC-IPTS Working Papers on Corporate R&D and Innovation 2011-06, Institute of Prospective Technological Studies, Joint Research Centre.
  2. Flavio Lenz-Cesar & Almas Heshmati, 2009. "Determinants of Firms Cooperation in Innovation," TEMEP Discussion Papers 200927, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.

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