2020
DOI: 10.1108/s0731-905320200000042012
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A Spatial Panel Model of Bank Branches in Canada

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Cited by 8 publications
(15 citation statements)
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“…Huysentruyt et al (2012) explore the determinants of the patterns of bank presence in the neighbourhoods of Antwerp between 1991 and 2006. Their empirical results show that, in addition to market structure conditions, the socio-economic environment also has a high influence on branching decisions; these outcomes are confirmed by several recent papers (among others Qi et al, 2019;Sengupta and Dice, 2019;Chen & Strathearn, 2020;Stix, 2020) Argent and Rolley (2000), Felici andPagnini (2008), Okehalam (2009), Cohen and Mazzeo (2010), Alamà and Tortosa-Ausina (2012), Huysentruyt et al (2013) and Alamà et al (2015) argue and demonstrate that the number of inhabitants is a factor influencing attractiveness for bank branches. However, analysing Portuguese bank branching decisions between 1988 and 1996, Barreto and Badenfuller (2006) find that banks also imitate their legitimacy-based groups towards unattractive locations, producing a negative effect on profitability.…”
Section: Literature Reviewsupporting
confidence: 53%
“…Huysentruyt et al (2012) explore the determinants of the patterns of bank presence in the neighbourhoods of Antwerp between 1991 and 2006. Their empirical results show that, in addition to market structure conditions, the socio-economic environment also has a high influence on branching decisions; these outcomes are confirmed by several recent papers (among others Qi et al, 2019;Sengupta and Dice, 2019;Chen & Strathearn, 2020;Stix, 2020) Argent and Rolley (2000), Felici andPagnini (2008), Okehalam (2009), Cohen and Mazzeo (2010), Alamà and Tortosa-Ausina (2012), Huysentruyt et al (2013) and Alamà et al (2015) argue and demonstrate that the number of inhabitants is a factor influencing attractiveness for bank branches. However, analysing Portuguese bank branching decisions between 1988 and 1996, Barreto and Badenfuller (2006) find that banks also imitate their legitimacy-based groups towards unattractive locations, producing a negative effect on profitability.…”
Section: Literature Reviewsupporting
confidence: 53%
“…Amel and Liang, 1997;Zhang et al, 2021), population density (e.g. Okeahalam, 2009;Chen and Strathearn, 2020), income level (e.g. Feinberg, 2009;Chen and Strathearn, 2020), economic structure (e.g.…”
Section: Literature On Bank Branchingmentioning
confidence: 99%
“…Conceptually, spatial mapping can reduce the risk of banking competition as a result of asymmetric information due to the significant physical distances between banks and customers (Agarwal & Hauswald, 2010;Ansong et al, 2015). Therefore, proximity to customers makes it easier for banks to source valid information for effective operation in mitigating financing risk (H. Chen & Strathearn, 2020;Ergungor & Moulton, 2011;Flögel, 2016;Verma, 2011). In addition, the facility associated with geographical proximity can also foster increasing customer trust, thereby indirectly improving Deposits (Benamati & Serva, 2007;Liberti & Petersen, 2019;Richards et al, 2008).…”
Section: Literature Reviewmentioning
confidence: 99%
“…L. Chen et al, 2020;Danon et al, 2020;Eggo et al, 2011;Gatto et al, 2020;Gog et al, 2014;Guo, 2007;Ludovic et al, 2020). Studies in several countries, such as Canada, Kuwait, and the USA, have developed a spatial finance approach as an indicator in measuring the effect of geography in financial and banking performance since individual regions possess varying capabilities in receiving and responding to external and internal influences (H. Chen & Strathearn, 2020). As an archipelago nation consisting of 34 administrative provinces with 17,504 islands (Fauzan et al, 2020;Grydehøj & Hayward, 2014;Mahendradhata et al, 2017;Mufraini et al, 2020), Indonesia judiciously adopts the spatial approach to provide the most accurate information on financial interactions between regions.…”
Section: Introductionmentioning
confidence: 99%
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