Does post-crisis restructuring decrease the availability of banking services? The case of Turkey

Damar, H. Evren

doi:10.1016/j.jbankfin.2007.04.016

Cited by 21 publications

(2 citation statements)

References 18 publications

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“…The literature dedicated the number of bank branches is poor. We can mention the contribution of Avery et al (1999), Damar (2007) and Barros (1999); all of them showed that the number of bank branches can influence, to a local level, various indicators, among which is the field of activity. The correlations between the number of bank branches and well-being indicators have not been identified, creating the possibility for our study to bring a new contribution.…”

Section: Factors Impacting the Evolution Of The Bank Branches Indicatormentioning

confidence: 99%

Well-Being Impact on Banking Systems

Iuga

Dragolea

2021

JRFM

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The present research focuses on the influence of the well-being indicators, more specifically, the indicators reflecting the life quality on the banking systems evolution from the EU member states. The study offers a unique approach to comparing the two country groups: the eurozone countries and the EU noneuro countries during the 2008–2019 period. The model is estimated with the help of the OLS method by using panel data. The study aims to identify which life quality indicators significantly influence the EU member states’ banking systems evolution and develop models dividing the countries into two groups. Our conclusions show that, among all the determinant factors analysed in this study, household consumption and internet users strongly influence all EU countries’ banking systems.

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Section: Factors Impacting the Evolution Of The Bank Branches Indicatormentioning

confidence: 99%

Well-Being Impact on Banking Systems

Iuga

Dragolea

2021

JRFM

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“…In addition to deregulation, branch expansion may be influenced by other factors such as market size (as measured by the population and total GDP in the market area), banking consolidation activities, the level of market concentration (Avery et al, 1999;Damar, 2007), and perceived responses from rival banks (Kim & Vale, 2001). Hannan and Hanweck (2007) use population, bank profitability, the level of banking market concentration, immigrants, deregulation, and traffic congestion to predict the number of branches in multiple regressions and find that all variables except immigration are significant.…”

Section: Retail Banking Market and Supply-demand Mismatchmentioning

confidence: 99%

Changing Retail Banking Supply-Demand Mismatch

Zhou

2010

International Journal of Applied Geospatial Research

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In this study, the author compares the supply-demand mismatch of retail banking services and the changing patterns in Illinois and New York from 1982 to 2007 amid fundamental banking transformation and geographical deregulation. The study uses measures of concentration like the Herfindahl-Herschman Index (HHI) and the E-Index. The study finds that the traditionally unit banking Illinois has narrowed the mismatch over the study period from 1982 to 2007, whereas the traditionally branch banking New York has expanded such mismatch. The study also finds that while the New York banking industry can be characterized by a more concentrated geographical distribution of bank deposits, the Illinois banking industry still has a dispersed geographical concentration of bank offices, though the Chicago MSA has reversed such a pattern.

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Why Do Japanese Non-Local Regional Banks Enter Other Prefectures Under the Region-Based Relationship Banking Policy?

Kondo

Harimaya

2014

J Ind Compet Trade

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In this study, we investigate the market characteristics of prefectures in which non-local regional banks of other prefectures choose to enter and the motivations of such banks for doing so, considering the Japanese government's requirements for regional financial institutions to play an active role in stimulating local economies. In particular, by pooling prefecture-level data, the market characteristics of prefectures that experience more entrances by non-local regional banks compared with other prefectures are examined. It was found that entrance by non-local regional banks is more common in prefectures where high-performing companies are active. Therefore, it can be considered that non-local regional banks that are not satisfied with lending opportunities in their home prefectures enter other prefectures to increase their lending opportunities to high-performing companies. This study contributes by clarifying why many regional banks do not concentrate on businesses within their local regions and intentionally enter other prefectures, which is in contrast with the intent of the region-based relationship banking policy.Keywords: region-based relationship banking, non-local regional banks, entries into other prefectures, characteristics of regional markets, expanding lending opportunities. JEL Classification: G212

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Does post-crisis restructuring decrease the availability of banking services? The case of Turkey

Cited by 21 publications

References 18 publications

Well-Being Impact on Banking Systems

Well-Being Impact on Banking Systems

Changing Retail Banking Supply-Demand Mismatch

Why Do Japanese Non-Local Regional Banks Enter Other Prefectures Under the Region-Based Relationship Banking Policy?

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