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The Effects of Innovation on Performance of Korean Firms

Author

Listed:
  • 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.

Suggested Citation

  • Heshmati, Almas & Kim, Yee-Kyoung & Kim, Hyesung, 2006. "The Effects of Innovation on Performance of Korean Firms," Ratio Working Papers 90, The Ratio Institute.
  • Handle: RePEc:hhs:ratioi:0090
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    File URL: http://www.ratio.se/pdf/wp/ah_innovation.pdf
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    References listed on IDEAS

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    1. Klette, Tor Jakob & Griliches, Zvi, 2000. "Empirical Patterns of Firm Growth and R&D Investment: A Quality Ladder Model Interpretation," Economic Journal, Royal Economic Society, vol. 110(463), pages 363-387, April.
    2. 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.
    3. 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.
    4. Mark Doms & Eric J. Bartelsman, 2000. "Understanding Productivity: Lessons from Longitudinal Microdata," Journal of Economic Literature, American Economic Association, vol. 38(3), pages 569-594, September.
    5. Cohen, Wesley M & Klepper, Steven, 1996. "A Reprise of Size and R&D," Economic Journal, Royal Economic Society, vol. 106(437), pages 925-951, July.
    6. 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.
    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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    Citations

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    Cited by:

    1. Daria Ciriaci, 2011. "Intangible resources: the relevance of training for European firms’ innovative performance," JRC Working Papers on Corporate R&D and Innovation 2011-06, Joint Research Centre (Seville site).
    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.

    More about this item

    Keywords

    Innovation Input; Innovation Output; Productivity; Korea;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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