IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v21y2014i16p1139-1143.html
   My bibliography  Save this article

The spatial dynamics of growth and convergence in Korean regional incomes

Author

Listed:
  • Paul Evans
  • Ji Uk Kim

Abstract

We investigate whether the convergence hypothesis in 13 Korean regional economies for the period 1985 to 2011 exists allowing technological spillover and spatial interdependence. We use the spatial dynamic panel data approach including the spatial Durbin model. When we use the spatial lag model (SAM) with spatial fixed, we find that there is a positive spillover effect of growth among Korean regions and that convergence speed rate is faster than the model without spatial interdependence. However, when we use the SAM with time period fixed, or spatial fixed and time-period fixed effects, these results do not support convergence hypothesis of regional incomes. Therefore, we have to be careful to approach conclusion about convergence hypothesis in Korean regional incomes.

Suggested Citation

  • Paul Evans & Ji Uk Kim, 2014. "The spatial dynamics of growth and convergence in Korean regional incomes," Applied Economics Letters, Taylor & Francis Journals, vol. 21(16), pages 1139-1143, November.
  • Handle: RePEc:taf:apeclt:v:21:y:2014:i:16:p:1139-1143
    DOI: 10.1080/13504851.2014.914133
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2014.914133
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504851.2014.914133?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.

    Citations

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


    Cited by:

    1. Liangjun Su & Xi Qu, 2017. "Specification Test for Spatial Autoregressive Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 572-584, October.
    2. Abhimanyu Gupta & Xi Qu, 2021. "Consistent specification testing under spatial dependence," Papers 2101.10255, arXiv.org, revised Aug 2022.
    3. Kripfganz, Sebastian, 2014. "Unconditional Transformed Likelihood Estimation of Time-Space Dynamic Panel Data Models," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100604, Verein für Socialpolitik / German Economic Association.

    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:apeclt:v:21:y:2014:i:16:p:1139-1143. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.