IDEAS home Printed from https://ideas.repec.org/p/era/wpaper/d007.html
   My bibliography  Save this paper

Learning-by-exporting in Korean Manufacturing: A Plant-level Analysis

Author

Listed:
  • Chin Hee HAHN

    (Korea Development Institute, Korea)

  • Chang-Gyun PARK

    (College of Business Administration, Chung-Ang University, Korea)

Abstract

The paper analyzes whether firms that start exporting become more productive utilizing recently developed sample matching procedures to control the problems from self-selection into the export market. We use plant level panel data on Korean manufacturing sector from 1990 to 1998. We find clear and robust empirical evidence in favor of the learning-by-exporting effect; total factor productivity differentials between exporters and their domestic counterparts arises and widens during several years after export market entry. We also find that the effect is more pronounced for firms that have higher skill-intensity, higher share of exports in production, and are small in size. Overall, the evidence suggests that exporting is one important channel through which domestic firms acquire accesses to advanced knowledge and better technology. Also, the stronger learning-by-doing effect for firms with higher skill-intensity seems to support the view that "absorptive capacity" matters to receive knowledge spillovers from exporting activity.

Suggested Citation

  • Chin Hee HAHN & Chang-Gyun PARK, 2009. "Learning-by-exporting in Korean Manufacturing: A Plant-level Analysis," Working Papers d007, Economic Research Institute for ASEAN and East Asia (ERIA).
  • Handle: RePEc:era:wpaper:d007
    as

    Download full text from publisher

    File URL: http://www.eria.org/ERIA-DP-2009-04.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Youngho Kang, 2021. "How you pay matters: performance-related pay and learning by exporting," Empirical Economics, Springer, vol. 60(5), pages 2455-2475, May.
    2. Kim, Kyunam & Kim, Yeonbae, 2015. "Role of policy in innovation and international trade of renewable energy technology: Empirical study of solar PV and wind power technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 717-727.
    3. Murat A. YĆ¼lek & Kwon Hyung Lee & Jungsuk Kim & Donghyun Park, 2020. "State Capacity and the Role of Industrial Policy in Automobile Industry: a Comparative Analysis of Turkey and South Korea," Journal of Industry, Competition and Trade, Springer, vol. 20(2), pages 307-331, June.
    4. DU, Julan & LU, Yi & TAO, Zhigang & YU, Linhui, 2012. "Do domestic and foreign exporters differ in learning by exporting? Evidence from China," China Economic Review, Elsevier, vol. 23(2), pages 296-315.
    5. Fukunari Kimura, 2009. "The Nature and Characteristics of Production Networks in East Asia: Evidences from Micro/Panel Data Analyses," Global COE Hi-Stat Discussion Paper Series gd09-093, Institute of Economic Research, Hitotsubashi University.
    6. Schmeiser, Katherine N., 2012. "Learning to export: Export growth and the destination decision of firms," Journal of International Economics, Elsevier, vol. 87(1), pages 89-97.
    7. Keiko ITO, 2012. "Sources of Learning-by-Exporting Effects: Does Exporting Promote Innovation?," Working Papers DP-2012-06, Economic Research Institute for ASEAN and East Asia (ERIA).

    More about this item

    Keywords

    Learning-by-exporting; Productivity; Propensity score matching.;
    All these keywords.

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O19 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - International Linkages to Development; Role of International Organizations

    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:era:wpaper:d007. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Ranti Amelia (email available below). General contact details of provider: https://edirc.repec.org/data/eriadid.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.