MURAL - Maynooth University Research Archive Library



    A comparative analysis of firm co-location behaviour in the Detroit metropolitan area


    Mack, Elizabeth A., Credit, Kevin and Suandi, Matthew (2018) A comparative analysis of firm co-location behaviour in the Detroit metropolitan area. Industry and Innovation, 25 (3). pp. 264-281. ISSN 1366-2716

    [thumbnail of KC-Comparative-Analysis-2018.pdf]
    Preview
    Text
    KC-Comparative-Analysis-2018.pdf

    Download (1MB) | Preview

    Abstract

    Multinational enterprises (MNEs) now exhibit knowledge-seeking behaviours which are critical to maintain or gain a competitive advantage. Emerging work about the interaction between MNEs, space and place also highlights the need for finer scale research to understand the strategy and knowledge exchange of MNEs, which remains limited to this point. To address this need for fine-grained analyses of firm co-location behaviour, this paper uses point-level data to test hypotheses about the co-location behaviour of three types of manufacturing firms in the Detroit metropolitan area. Variations in this behaviour highlight that foreign rather than domestic firms may be the primary source of knowledge spillovers, which speaks to the internationalisation of manufacturing activity in the region over time. New domestic standalone ventures appear to have been crowded out from cluster activities, suggesting a policy opportunity to integrate new standalone ventures into collaborative ventures with other firms in the region.
    Item Type: Article
    Additional Information: This is the preprint version of the published article, which is available at: Elizabeth A. Mack, Kevin Credit & Matthew Suandi (2018) A comparative analysis of firm co-location behaviour in the Detroit metropolitan area, Industry and Innovation, 25:3, 264-281, DOI: 10.1080/13662716.2017.1334539
    Keywords: Co-location; clusters; firm location; knowledge-spillovers; multinational enterprises; MNEs;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
    Faculty of Social Sciences > Geography
    Faculty of Social Sciences > Research Institutes > Maynooth University Social Sciences Institute, MUSSI
    Item ID: 14607
    Identification Number: 10.1080/13662716.2017.1334539
    Depositing User: Kevin Credit
    Date Deposited: 16 Jul 2021 16:38
    Journal or Publication Title: Industry and Innovation
    Publisher: Taylor & Francis (Routledge)
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/14607
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only (login required)

    Item control page
    Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads