IDEAS home Printed from https://ideas.repec.org/a/ids/ijsuse/v5y2013i2p207-224.html

Ownership and wages: spatial econometric approach

Author

Listed:
  • Marko Ogorevc
  • Miroslav VerbiÄ

Abstract

The aim of our paper is to disentangle the relationship between ownership and wages using cross-section data for Slovenian medium size and large companies, where we account for spatial dependencies in wage determination. Space here is not considered in geographical context, but as a set of relations between firms originating from the same owner. Using a detailed database on Slovenian ownership, we apply a spatial econometric approach to detect any ownership-based wage spillovers, while accounting for different standard factors, such as size, capital intensity and productivity, and also some ownership-based variables, such as ownership concentration and ratio of cash-flow to control rights. Our results indicate that ownership is an important factor in explaining differences in wage levels. Many large owners divert cash-flow into their own pockets which has a detrimental effect on wages and indicates that this behaviour induced by owners is not sustainable.

Suggested Citation

  • Marko Ogorevc & Miroslav VerbiÄ, 2013. "Ownership and wages: spatial econometric approach," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 5(2), pages 207-224.
  • Handle: RePEc:ids:ijsuse:v:5:y:2013:i:2:p:207-224
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=52971
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

    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:ids:ijsuse:v:5:y:2013:i:2:p:207-224. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=301 .

    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.