Soft information and the geography of SME bank lending
Regional Studies, ISSN: 1360-0591, Vol: 55, Issue: 4, Page: 679-692
2021
- 11Citations
- 36Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
This paper explores the geography of bank lending to small and medium-sized enterprises (SMEs) and tests the argument that large institutions with complex organizational structures are better able to filter ‘hard’ information than ‘soft’ information. Mortgage lending is used as a control to illustrate the case of ‘hard’ and ‘soft’ information. Using data on individual bank lending to SMEs and mortgages by postcode area in Great Britain for the period 2013(2)–2014(4), the paper explains the spatial dispersion of SME lending in the UK in terms of geographical distance and supports the policy of establishing a geographically decentralized financial system as a counterbalance.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85097852301&origin=inward; http://dx.doi.org/10.1080/00343404.2020.1851024; https://www.tandfonline.com/doi/full/10.1080/00343404.2020.1851024; https://www.tandfonline.com/doi/pdf/10.1080/00343404.2020.1851024; https://dx.doi.org/10.1080/00343404.2020.1851024
Informa UK Limited
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