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Geographical accessibility to bank branches and its relationship to new firm formation in Sweden via multiscale geographically weighted regression
KTH, School of Architecture and the Built Environment (ABE), Real Estate and Construction Management.ORCID iD: 0000-0002-3489-217x
KTH, School of Architecture and the Built Environment (ABE), Real Estate and Construction Management.ORCID iD: 0000-0002-9944-0510
2022 (English)In: Jahrbuch für Regional Wissenschaft, ISSN 0173-7600, E-ISSN 1613-9836, Vol. 42, no 2, p. 191-218Article in journal (Refereed) Published
Abstract [en]

The geographical accessibility to banks and its relationship with new firm formation can vary across space due to spatial contexts. With increasing bank branch closures in Sweden, it is even more critical to understand where interventions are needed and at which scale, to implement effective policy. Thus, spatial context is incorporated into the analysis with the use of the multiscale geographically weighted regression (MGWR) model. A two-stage least squares (2SLS) model is employed in which two instrumental variables are utilised to instrument the proximity to the nearest bank branch in 2013. The MGWR results show that the geographical distance to the nearest bank branch has a negative association with new firm formation across all Swedish municipalities. The results also show that the relationship between the geographical distance to bank branches and new formation is not spatially varying across space. A policy implication from the analysis shows it is ideal to focus on the geographical accessibility to bank branches as it would continue to play an important role in the financing of new firms, regardless of the location.

Place, publisher, year, edition, pages
Springer Nature , 2022. Vol. 42, no 2, p. 191-218
Keywords [en]
Sweden, accessibility, banking, financial policy, financial services, firm ownership, numerical model, policy implementation, regression analysis, Bank branches, C31, C36, G21, M13, MGWR, Multiscale, New firm formation
National Category
Business Administration
Identifiers
URN: urn:nbn:se:kth:diva-322250DOI: 10.1007/s10037-022-00166-1ISI: 000771850800001Scopus ID: 2-s2.0-85126840906OAI: oai:DiVA.org:kth-322250DiVA, id: diva2:1716438
Note

Not duplicate with DiVA 1612887

QC 20221206

Available from: 2022-12-06 Created: 2022-12-06 Last updated: 2022-12-06Bibliographically approved

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Ho, Cynthia Sin TianWilhelmsson, Mats

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CiteExportLink to record
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