IDEAS home Printed from https://ideas.repec.org/a/taf/reroxx/v34y2021i1p1366-1384.html
   My bibliography  Save this article

Assessment of regions using an index for a location’s attractiveness for business development

Author

Listed:
  • Ineta Zykiene
  • Vytautas Snieska
  • Jurgita Bruneckiene
  • Daiva Burksaitiene

Abstract

A system of 36 regional-level indicators is selected to create a new index measuring a location’s attractiveness for business development (the LA-index), on the criteria of intelligence, networking and infrastructure, sustainability, digitalisation, learning, agility, innovativeness and knowledge. Business establishment is defined by nine indicators. Overall, the research data include 5,170 observations. The methodology presented is suitable for assessing the attractiveness of any region if the necessary data are available. We use correlation analysis and the Granger causality test to analyse the impact of business attractiveness on the establishment of new businesses. The main findings reveal that attractiveness for business development has a positive impact on the establishment of new businesses, but the determinants and time lags of this impact vary depending on the level of economic development of the region. The paper contributes to the regional economic development literature by exploring the concept of a location’s attractiveness using the smartness approach, and by discovering the time lags of the impact of this on the establishment of new businesses. The paper provides original empirical evidence, which helps policy makers to develop more accurate strategies and decision-making process based on smartness determinants and delayed effect (impact over time).

Suggested Citation

  • Ineta Zykiene & Vytautas Snieska & Jurgita Bruneckiene & Daiva Burksaitiene, 2021. "Assessment of regions using an index for a location’s attractiveness for business development," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 34(1), pages 1366-1384, January.
  • Handle: RePEc:taf:reroxx:v:34:y:2021:i:1:p:1366-1384
    DOI: 10.1080/1331677X.2020.1825106
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1331677X.2020.1825106
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1331677X.2020.1825106?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.

    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:reroxx:v:34:y:2021:i:1:p:1366-1384. 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/rero .

    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.