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 |
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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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