IDEAS home Printed from https://ideas.repec.org/a/taf/eurpls/v29y2021i2p259-276.html
   My bibliography  Save this article

Effects of learning, unlearning and forgetting on path development: the case of the Macerata-Fermo footwear industrial districts

Author

Listed:
  • Marco Bellandi
  • Lisa De Propris
  • Claudia Vecciolini

Abstract

The paper examines processes of knowledge transformation in Industrial Districts (IDs) and how they contribute to industrial path development. Drawing on a case study of the footwear IDs in the provinces of Macerata and Fermo, Italy, we discuss how the knowledge configuration of the ID, within and outside of its core industry, changes as a result of internationalization activities, affecting path development. The Fermo IDs are characterized by a high multiplicity of know-how nuclei within the core industry and low non-core multiplicity. In this case, we find that unlearning processes are concentrated within the core, supporting at most an extension of its lifecycle. Conversely, the higher non-core multiplicity of the Macerata IDs is favouring also interactions between core firms (sole and heel producers) and non-core firms (producers of plastic instruments), enabling unlearning processes that may open up new paths of development.

Suggested Citation

  • Marco Bellandi & Lisa De Propris & Claudia Vecciolini, 2021. "Effects of learning, unlearning and forgetting on path development: the case of the Macerata-Fermo footwear industrial districts," European Planning Studies, Taylor & Francis Journals, vol. 29(2), pages 259-276, February.
    • Handle: RePEc:taf:eurpls:v:29:y:2021:i:2:p:259-276
    DOI: 10.1080/09654313.2020.1745156
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09654313.2020.1745156
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09654313.2020.1745156?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. Dominik Bertram & Tobias Chilla & Carola Wilhelm, 2021. "Short Value Chains in Food Production: The Role of Spatial Proximity for Economic and Land Use Dynamics," Land, MDPI, vol. 10(9), pages 1-21, September.

    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:eurpls:v:29:y:2021:i:2:p:259-276. 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/CEPS20 .

    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.