IDEAS home Printed from https://ideas.repec.org/a/taf/reroxx/v32y2019i1p925-946.html
   My bibliography  Save this article

Evaluation of location’s attractiveness for business growth in smart development

Author

Listed:
  • Vytautas Snieska
  • Ineta Zykiene
  • Daiva Burksaitiene

Abstract

The issue of a location's attractiveness for business development in literature lacks approach, when attractiveness is assessed not as a set of factors which determine individual attractiveness, but as a locality's ability to attract, maintain, and create business and investments. The contribution of the research to the discipline is a multi-criterion model of factors determining the location’s attractiveness for business development in the context of smart growth, as a methodological tool to evaluate and analyse the scientific problem in a question which is proposed by us. The attractiveness of a location for business development in the model is combined with the concept of smart development. A new and reliable instrument for decision-makers and managers is presented. An example of panel data analysis of 36 indicators and 3600 observations from 10 cross-sections of annual data for determining the role of quantitative indicators in attractiveness index is provided and timing lags influence is assessed. The method proposed is suitable for the attractiveness analysis of any location if the necessary data is available.

Suggested Citation

  • Vytautas Snieska & Ineta Zykiene & Daiva Burksaitiene, 2019. "Evaluation of location’s attractiveness for business growth in smart development," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 32(1), pages 925-946, January.
    • Handle: RePEc:taf:reroxx:v:32:y:2019:i:1:p:925-946
    DOI: 10.1080/1331677X.2019.1590217
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1331677X.2019.1590217
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/1331677X.2019.1590217?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. Endang Chumaidiyah & Mouli De Rizka Dewantoro & Putri Maulani Fauzi & Anton Abdulbasah Kamil, 2023. "Selection of Industrial Sites Using a Web-Based Geographical Information System to Minimize Risks: A Case Study in West Java, Indonesia," Sustainability, MDPI, vol. 15(22), pages 1-16, November.

    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:32:y:2019:i:1:p:925-946. 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.