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Technological knowledge, spillover and productivity: evidence from Taiwanese firm level panel data

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  • Jong-Rong Chen
  • Chih-Hai Yang

Abstract

Using a panel data on Taiwanese manufacturing firms from 1990-1997, this study investigates the relationship among technological knowledge, spillover and productivity. In addition to R&D stock, we also employ patent counts to construct the output-side indicators of knowledge and spillover to explore the relationship between knowledge and productivity. We find a very significant contribution of R&D, patents and spillover stock to productivity. In addition, the magnitude of the patent stock coefficient is substantially larger than that estimated by R&D stock. Our results imply that innovative activity investment has been very productive in increasing output for Taiwanese manufacturing firms in the 1990s.

Suggested Citation

  • Jong-Rong Chen & Chih-Hai Yang, 2005. "Technological knowledge, spillover and productivity: evidence from Taiwanese firm level panel data," Applied Economics, Taylor & Francis Journals, vol. 37(20), pages 2361-2371.
  • Handle: RePEc:taf:applec:v:37:y:2005:i:20:p:2361-2371
    DOI: 10.1080/00036840500309262
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    References listed on IDEAS

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    1. Cockburn, Iain & Griliches, Zvi, 1988. "Industry Effects and Appropriability Measures in the Stock Market's Valuation of R&D and Patents," American Economic Review, American Economic Association, vol. 78(2), pages 419-423, May.
    2. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    3. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
    4. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    5. Lach, Saul, 1995. "Patents and productivity growth at the industry level: A first look," Economics Letters, Elsevier, vol. 49(1), pages 101-108, July.
    6. James D. Adams, 2000. "Endogenous R&D Spillovers and Industrial Research Productivity," NBER Working Papers 7484, National Bureau of Economic Research, Inc.
    7. 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.
    8. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
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    Cited by:

    1. Liu, Ting-Kun & Chen, Jong-Rong & Huang, Cliff C.J. & Yang, Chih-Hai, 2013. "E-commerce, R&D, and productivity: Firm-level evidence from Taiwan," Information Economics and Policy, Elsevier, vol. 25(4), pages 272-283.
    2. Galdeano-Gómez, Emilio & Céspedes-Lorente, José, 2008. "Environmental spillover effects on firm productivity and efficiency: An analysis of agri-food business in Southeast Spain," Ecological Economics, Elsevier, vol. 67(1), pages 131-139, August.
    3. Pedro de Faria & Francisco Lima, 2012. "Interdependence and spillovers: is firm performance affected by others’ innovation activities?," Applied Economics, Taylor & Francis Journals, vol. 44(36), pages 4765-4775, December.
    4. Cassia, Lucio & Colombelli, Alessandra & Paleari, Stefano, 2009. "Firms' growth: Does the innovation system matter?," Structural Change and Economic Dynamics, Elsevier, vol. 20(3), pages 211-220, September.
    5. Yang, Chih-Hai, 2006. "Is innovation the story of Taiwan's economic growth?," Journal of Asian Economics, Elsevier, vol. 17(5), pages 867-878, November.

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