IDEAS home Printed from https://ideas.repec.org/a/taf/rrpaxx/v11y2006i1p59-69.html
   My bibliography  Save this article

Comparison of the Effect of Technology Policies on Firms R&D: Evidence from the Korean Manufacturing Sectors

Author

Listed:
  • Ji Woong Yoon

Abstract

This paper empirically examines the effect of technology innovation policies on firms R&D investment in the Korean manufacturing industry. The Korean innovation survey conducted in 2002 found that government policy has a positive effect on firms R&D overall. In particular, the effect of the public R&D funding and government R&D project participation policy have a positive and significant effect on firms R&D, while tax incentive policy has a negative effect on firms R&D investment. Moreover, the joint effect of the government R&D project participation policy and technical support policy on firms R&D investment is positive. This joint effect implies that a complementary relationship exists between the two policies due to knowledge transfer and spillover.

Suggested Citation

  • Ji Woong Yoon, 2006. "Comparison of the Effect of Technology Policies on Firms R&D: Evidence from the Korean Manufacturing Sectors," International Review of Public Administration, Taylor & Francis Journals, vol. 11(1), pages 59-69, July.
  • Handle: RePEc:taf:rrpaxx:v:11:y:2006:i:1:p:59-69
    DOI: 10.1080/12294659.2006.10805078
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/12294659.2006.10805078
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/12294659.2006.10805078?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Ruud, Paul A., 2000. "An Introduction to Classical Econometric Theory," OUP Catalogue, Oxford University Press, number 9780195111644.
    Full references (including those not matched with items on IDEAS)

    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. Jan R. Magnus & Wendun Wang & Xinyu Zhang, 2016. "Weighted-Average Least Squares Prediction," Econometric Reviews, Taylor & Francis Journals, vol. 35(6), pages 1040-1074, June.
    2. Nathan H. Miller, 2008. "Competition When Consumers Value Firm Scope," EAG Discussions Papers 200807, Department of Justice, Antitrust Division.
    3. Doko Tchatoka, Firmin Sabro, 2012. "Specification Tests with Weak and Invalid Instruments," MPRA Paper 40185, University Library of Munich, Germany.
    4. John M. Abowd & Francis Kramarz & Sébastien Pérez-Duarte & Ian M. Schmutte, 2018. "Sorting Between and Within Industries: A Testable Model of Assortative Matching," Annals of Economics and Statistics, GENES, issue 129, pages 1-32.
    5. Lullit Getachew & Robin C. Sickles, 2007. "The policy environment and relative price efficiency of Egyptian private sector manufacturing: 1987|88-1995|96," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 703-728.
    6. Hugo Benítez-Silva & Debra Dwyer & Wayne-Roy Gayle & Thomas Muench, 2008. "Expectations in micro data: rationality revisited," Empirical Economics, Springer, vol. 34(2), pages 381-416, March.
    7. Antonio Ciccone & Giovanni Peri, 2005. "Long-Run Substitutability Between More and Less Educated Workers: Evidence from U.S. States, 1950-1990," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 652-663, November.
    8. Gianmarco I.P. Ottaviano & Giovanni Peri, 2005. "Rethinking the Gains from Immigration: Theory and Evidence from the U.S," NBER Working Papers 11672, National Bureau of Economic Research, Inc.
    9. Rose, Heather, 2006. "Do gains in test scores explain labor market outcomes?," Economics of Education Review, Elsevier, vol. 25(4), pages 430-446, August.
    10. Florian Heiss, 2016. "Discrete Choice Methods with Simulation," Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 688-692, April.
    11. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    12. Benitez-Silva, Hugo & Dwyer, Debra S., 2006. "Expectation formation of older married couples and the rational expectations hypothesis," Labour Economics, Elsevier, vol. 13(2), pages 191-218, April.
    13. Doko Tchatoka, Firmin & Dufour, Jean-Marie, 2020. "Exogeneity tests, incomplete models, weak identification and non-Gaussian distributions: Invariance and finite-sample distributional theory," Journal of Econometrics, Elsevier, vol. 218(2), pages 390-418.
    14. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    15. Woutersen, Tiemen & Hausman, Jerry A., 2019. "Increasing the power of specification tests," Journal of Econometrics, Elsevier, vol. 211(1), pages 166-175.
    16. Hugo Benítez-Silva & Debra S. Dwyer, 2003. "What to Expect when you are Expecting Rationality: Testing Rational Expectations using Micro Data," Working Papers wp037, University of Michigan, Michigan Retirement Research Center.
    17. Jeffrey M. Wooldridge, 2001. "Applications of Generalized Method of Moments Estimation," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 87-100, Fall.
    18. repec:tiu:tiucen:200457 is not listed on IDEAS
    19. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
    20. Frank Fuller & John Beghin & Scott Rozelle, 2007. "Consumption of dairy products in urban China: results from Beijing, Shangai and Guangzhou," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(4), pages 459-474, December.
    21. Marie Blaise & Laetitia Dillenseger, 2023. "Informal Caregivers and Life Satisfaction: Empirical Evidence from the Netherlands," Journal of Happiness Studies, Springer, vol. 24(6), pages 1883-1930, August.

    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:taf:rrpaxx:v:11:y:2006:i:1:p:59-69. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RRPA20 .

    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.