IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v5y2021i1p5-d480090.html
   My bibliography  Save this article

A New Logistic Model of Market Information Asymmetry Reduction in Poland

Author

Listed:
  • Elżbieta Gołembska

    (Department Finance and Banking, WSB University of Poznanul, Powstancow Wielkopolskich 5, 61-895 Poznan, Poland)

Abstract

The article presents the first theoretical and empirical estimation of the role of logistics in mitigating the effects of market information asymmetry in Poland. Following a review of international (Akerlof, Spencer, Stiglitz) and Polish literature (Gołembska, Gruszecki, Stradomski), a new logistic model of information asymmetry (LMAI) is presented. The article attempts an empirical verification of this model using the results of studies conducted in Polish firms in the period 2000–2018. The studies examined the efficiency and effectiveness of logistics management, with a particular focus on logistics infrastructure expenditure, balance-sheet inventories, and logistics costs. The computation of the LMAI indicator, based on averaged data provided by manufacturers, distributors and service firms, enabled the estimation of the impact of logistics management on reducing the effects of information asymmetry, and showed the differences of this impact in individual industries including the pharmaceutical, tourist, transport and food distribution industry.

Suggested Citation

  • Elżbieta Gołembska, 2021. "A New Logistic Model of Market Information Asymmetry Reduction in Poland," Logistics, MDPI, vol. 5(1), pages 1-19, January.
    • Handle: RePEc:gam:jlogis:v:5:y:2021:i:1:p:5-:d:480090
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/5/1/5/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2305-6290/5/1/5/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:bla:jfinan:v:43:y:1988:i:3:p:567-91 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    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:gam:jlogis:v:5:y:2021:i:1:p:5-:d:480090. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.