IDEAS home Printed from https://ideas.repec.org/a/bla/asiaec/v28y2014i1p63-79.html
   My bibliography  Save this article

Effects of Knowledge Spillovers on Knowledge Production and Productivity Growth in Korean Manufacturing Firms

Author

Listed:
  • Taegi Kim
  • Keith Maskus
  • Keun-Yeob Oh

Abstract

type="main"> Using Korean firm-level data, this paper studies the effects of knowledge spillovers on knowledge production and productivity growth. Data from 213 Korean firms for the years 1985 to 2007 are used, and the number of patent applications is used as a proxy variable for knowledge. The results show that all the growth rates of output, patents, and productivity are higher in high-technology firms. Regression results show that the spillover effect on knowledge production and productivity growth is very significant, and that the spillover effect is larger in small firms than in large firms. Moreover, spillover effects on productivity growth are larger after 1995, when Korean intellectual property rights were strengthened. Our findings suggest that the effects of knowledge spillover on productivity are positively correlated with strong intellectual property rights.

Suggested Citation

  • Taegi Kim & Keith Maskus & Keun-Yeob Oh, 2014. "Effects of Knowledge Spillovers on Knowledge Production and Productivity Growth in Korean Manufacturing Firms," Asian Economic Journal, East Asian Economic Association, vol. 28(1), pages 63-79, March.
    • Handle: RePEc:bla:asiaec:v:28:y:2014:i:1:p:63-79
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/asej.12025
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Yasser Abdih & Frederick Joutz, 2006. "Relating the Knowledge Production Function to Total Factor Productivity: An Endogenous Growth Puzzle," IMF Staff Papers, Palgrave Macmillan, vol. 53(2), pages 1-3.
    3. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    4. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    5. Taegi Kim & Keith E. Maskus & Keun-Yeob Oh, 2009. "Effects Of Patents On Productivity Growth In Korean Manufacturing: A Panel Data Analysis," Pacific Economic Review, Wiley Blackwell, vol. 14(2), pages 137-154, May.
    6. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    7. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    8. Keller, Wolfgang, 2002. "Trade and the Transmission of Technology," Journal of Economic Growth, Springer, vol. 7(1), pages 5-24, March.
    9. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    10. Sakakibara, Mariko & Branstetter, Lee, 2001. "Do Stronger Patents Induce More Innovation? Evidence from the 1988 Japanese Patent Law Reforms," RAND Journal of Economics, The RAND Corporation, vol. 32(1), pages 77-100, Spring.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Deming Zeng & Luyun Xu & Xia-an Bi, 2017. "Effects of asymmetric knowledge spillovers on the stability of horizontal and vertical R&D cooperation," Computational and Mathematical Organization Theory, Springer, vol. 23(1), pages 32-60, March.
    2. Azagra-Caro, Joaquín M. & Tijssen, Robert J.W. & Tur, Elena M. & Yegros-Yegros, Alfredo, 2019. "University-industry scientific production and the Great Recession," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 210-220.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Drivas, Kyriakos & Economidou, Claire & Karamanis, Dimitrios & Sanders, Mark, 2020. "Mobility of highly skilled individuals and local innovation activity," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    2. Diao, Xinshen & Roe, Terry & Yeldan, Erinc, 1999. "Strategic policies and growth: an applied model of R&D-driven endogenous growth," Journal of Development Economics, Elsevier, vol. 60(2), pages 343-380, December.
    3. López-Pueyo, Carmen & Barcenilla-Visús, Sara & Sanaú, Jaime, 2008. "International R&D spillovers and manufacturing productivity: A panel data analysis," Structural Change and Economic Dynamics, Elsevier, vol. 19(2), pages 152-172, June.
    4. Gong, Guan & Keller, Wolfgang, 2003. "Convergence and polarization in global income levels: a review of recent results on the role of international technology diffusion," Research Policy, Elsevier, vol. 32(6), pages 1055-1079, June.
    5. Baptista, Rui & Swann, Peter, 1998. "Do firms in clusters innovate more?," Research Policy, Elsevier, vol. 27(5), pages 525-540, September.
    6. Michael Peneder & Karl Aiginger & Gernot Hutschenreiter & Markus Marterbauer, 2001. "Structural Change and Economic Growth," WIFO Studies, WIFO, number 20668, April.
    7. Mirajul Haq & Muhammad Luqman, 2014. "The contribution of international trade to economic growth through human capital accumulation: Evidence from nine Asian countries," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-13, December.
    8. Drivas, Kyriakos & Economidou, Claire & Karkalakos, Sotiris & Tsionas, Efthymios G., 2016. "Mobility of knowledge and local innovation activity," European Economic Review, Elsevier, vol. 85(C), pages 39-61.
    9. Rosina Moreno & Enrique López-Bazo & Esther Vayá & Manuel Artís, 2004. "External Effects and Cost of Production," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax & Sergio J. Rey (ed.), Advances in Spatial Econometrics, chapter 14, pages 297-317, Springer.
    10. Maurseth, Per Botolf, 2001. "Convergence, geography and technology," Structural Change and Economic Dynamics, Elsevier, vol. 12(3), pages 247-276, September.
    11. Luo, Yusen & Lu, Zhengnan & Long, Xingle, 2020. "Heterogeneous effects of endogenous and foreign innovation on CO2 emissions stochastic convergence across China," Energy Economics, Elsevier, vol. 91(C).
    12. Johanna Vogel, 2015. "The two faces of R&D and human capital: Evidence from Western European regions," Papers in Regional Science, Wiley Blackwell, vol. 94(3), pages 525-551, August.
    13. O'Mahony, Mary & Vecchi, Michela, 2009. "R&D, knowledge spillovers and company productivity performance," Research Policy, Elsevier, vol. 38(1), pages 35-44, February.
    14. Mori, Tomoya & Sakaguchi, Shosei, 2018. "Collaborative knowledge creation: Evidence from Japanese patent data," MPRA Paper 88716, University Library of Munich, Germany.
    15. ?gel de la Fuente, "undated". "Convergence Across Countries And Regions: Theory And Empirics," UFAE and IAE Working Papers 447.00, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    16. Pop Silaghi, Monica Ioana & Alexa, Diana & Jude, Cristina & Litan, Cristian, 2014. "Do business and public sector research and development expenditures contribute to economic growth in Central and Eastern European Countries? A dynamic panel estimation," Economic Modelling, Elsevier, vol. 36(C), pages 108-119.
    17. Wu, Mingran & Zhao, Min & Wu, Zhaodan, 2019. "Evaluation of development level and economic contribution ratio of science and technology innovation in eastern China," Technology in Society, Elsevier, vol. 59(C).
    18. Ernest Miguélez & Rosina Moreno, 2013. "Do Labour Mobility and Technological Collaborations Foster Geographical Knowledge Diffusion? The Case of European Regions," Growth and Change, Wiley Blackwell, vol. 44(2), pages 321-354, June.
    19. Dakpogan, Arnaud & Smit, Eon, 2018. "The effect of electricity losses on GDP in Benin," MPRA Paper 89545, University Library of Munich, Germany.
    20. Fedderke, J.W. & Bogetic, Z., 2009. "Infrastructure and Growth in South Africa: Direct and Indirect Productivity Impacts of 19 Infrastructure Measures," World Development, Elsevier, vol. 37(9), pages 1522-1539, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:asiaec:v:28:y:2014:i:1:p:63-79. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/eaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.