2017
DOI: 10.1007/s11156-017-0662-9
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Community bank structure an x-efficiency approach

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Cited by 12 publications
(6 citation statements)
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“…A similar sample period has also been used in Fujii et al (2018), but the sample of banks has been decreased due to missing data in the dependent variable LLP. Finally, McKee & Kagan, (2018) also utilize a data set ending in 2014 in a study of US community banks. The sample is constructed based on the following rationale; firstly, we are interested in how banks based in member states behave in local markets with respect to LLPs and are therefore not individually influenced by cross-border management behavior from non-domestic bank holding companies located in another jurisdiction -which of course could be found under a consolidated sample 7 .…”
Section: The Datamentioning
confidence: 99%
“…A similar sample period has also been used in Fujii et al (2018), but the sample of banks has been decreased due to missing data in the dependent variable LLP. Finally, McKee & Kagan, (2018) also utilize a data set ending in 2014 in a study of US community banks. The sample is constructed based on the following rationale; firstly, we are interested in how banks based in member states behave in local markets with respect to LLPs and are therefore not individually influenced by cross-border management behavior from non-domestic bank holding companies located in another jurisdiction -which of course could be found under a consolidated sample 7 .…”
Section: The Datamentioning
confidence: 99%
“…The OP method and its subsequently improved ACF method were first employed to study the manufacturing sector, so studies that have applied these methods to the service sector industries are few and new (Parrotta et al, 2014). Therefore, we employed the SFA method (McKee & Kagan, 2018), which is more commonly used in the study of banking industry efficiency, for robustness testing. The results are shown in Figure 6.…”
Section: Resultsmentioning
confidence: 99%
“…There are various ways to evaluate bank efficiency, including production theory, intermediary theory, asset theory (Collard-Wexler & De Loecker, 2016; Elyasiani & Mehdian, 1990; McKee & Kagan, 2018 ). As banks gradually evolve into more comprehensive financial service providers (Song et al, 2018), the impact of intelligent technology is widespread (Fumiko et al, 2020), and so, based on our research purpose, we have endeavored to measure efficiency in terms of the full menu of each institution’s financial services.…”
Section: Methodsmentioning
confidence: 99%
“…The second rationale refers to information asymmetries as bank lending is an information intensive process by which banks collect relevant information from both borrowers and local markets (Wu and Wang 2000;McKee and Kagan 2017). If the severity of the asymmetric information problem intensifies with distance, banks can strategically use their informational advantage to create a threat of adverse selection for their rivals, and thus soften competition.…”
Section: Theoretical Backgroundsmentioning
confidence: 99%