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    Transitive properties: a spatial econometric analysis of new business creation around transit


    Credit, Kevin (2019) Transitive properties: a spatial econometric analysis of new business creation around transit. Spatial Economic Analysis, 14 (1). pp. 26-52. ISSN 1742-1780

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    Abstract

    This paper evaluates the relationship between transit station proximity and new business creation in five US regions with varying levels of maturity in rail transit development and/or entrepreneurial ecosystems: Boston, San Jose, Austin, Cleveland and Philadelphia. It tests a variety of spatial econometric models to find the best specification and compares the results with the kinds of non-spatial models currently used in the literature. This provides a better understanding of the role of various forms of spatial dependence in the transit – new business creation relationship and shows that existing models may overstate the impact of transit on new business creation. In addition, the paper teases out differences between regions, rail modes and business types that can be usefully applied to a variety of urban contexts.
    Item Type: Article
    Additional Information: Cite as: Kevin Credit (2019) Transitive properties: a spatial econometric analysis of new business creation around transit, Spatial Economic Analysis, 14:1, 26-52, DOI: 10.1080/17421772.2019.1523548
    Keywords: spatial models (C21), economic development (F63), urban, rural; regional; and transportation analysis (O18), planning policy;
    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: 14941
    Identification Number: 10.1080/17421772.2019.1523548
    Depositing User: Kevin Credit
    Date Deposited: 19 Oct 2021 15:01
    Journal or Publication Title: Spatial Economic Analysis
    Publisher: Routledge
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/14941
    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

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