Technical efficiency and scale efficiency in the Italian banking sector: a non-parametric approach

Favero, Carlo A.; Papi, Luca

doi:10.1080/00036849500000123

Cited by 274 publications

(172 citation statements)

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“…2 for a flow chart of a typical two-stage analysis (e.g., Rangan et al 1988;Elyasiani and Mehdian 1990;Aly et al 1990;Favero and Papi 1995;Miller and Noulas 1996;Bhattacharyya et al 1997;Chen 1998;Chu and Lim 1998;Barr et al 1994;Barr and Siems 1997;Pasiouras 2008;Wanke and Barros 2014;Kwon and Lee 2015;Du et al 2018). Note however that the efficiency scores obtained with a two-stage analysis would still be environmentally-biased, because the inputs and outputs used in the first stage are not adjusted for environment.…”

Section: Landscape Of Research On Efficiency Assessment In Bankingmentioning

confidence: 99%

“…With respect to the type of assessment perspective, which drives the choices of inputs and outputs, we classify the literature into six categories; namely, the intermediation approach or perspective (e.g., Rangan et al 1988;Ferrier and Lovell 1990;Charnes et al 1990;Mehdian 1990, 1992;Aly et al 1990;Yue 1992;Grabowski et al 1993;Fukuyama 1993;Zaim 1995;Favero and Papi 1995;Miller and Noulas 1996;Taylor et al 1997;Chen 1998;Drake et al 2006;Liu 2018), the asset approach (e.g., Favero and Papi 1995), the production approach (e.g., Drake et al 2006;Liu and Tone 2008), the value added approach (e.g., Bhattacharyya et al 1997;Pastor et al 1997;Chu and Lim 1998;Pastor 2002;Das and Ghosh 2006), the profit-oriented approach (e.g., Berger and Mester 2003;Drake et al 2006;Liu and Tone 2008), and the user cost approach (e.g., Hancock 1985a, b;Fixler and Zieschang 1992).…”

Section: Landscape Of Research On Efficiency Assessment In Bankingmentioning

confidence: 99%

“…The first category consists of single country focused studies and covers US Banks (Rangan et al 1988;Ferrier and Lovell 1990;Mehdian 1990, 1992;Aly et al 1990;Yue 1992;Miller and Noulas 1996;Kwon and Lee 2015), UK Banks (Drake 2001;Webb 2003;Webb et al 2010;Tanna et al 2011), Italian Banks (Favero and Papi 1995), Turkish Banks (Zaim 1995;Kutlar et al 2017), Japanese Banks (Fukuyama 1993;Liu and Tone 2008), Taiwanese Banks (Chen 1998;Liu 2018), Hong Kong Banks (Drake et al 2006), Singaporean Banks (Chu and Lim 1998), Indian Banks (Bhattacharyya et al 1997), Mozambique Banks (Wanke et al 2016), and Korean Banks (Lee et al 2017). The second category consists of multi-country focused studies and covers banks in several countries such as US, Australian, New Zealand, Austrian, Spanish, German, UK, Italian, Belgian, French, Danish, Luxembourg, Dutch, and Portuguese Banks (e.g., Pastor et al 1997;Pastor 2002;Lozano-Vivas et al 2002;Casu and Molyneux 2003;Pasiouras 2008;Avkiran 2009).…”

Section: Landscape Of Research On Efficiency Assessment In Bankingmentioning

confidence: 99%

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Assessing efficiency profiles of UK commercial banks: a DEA analysis with regression-based feedback

Ouenniche

Carrales

2018

Ann Oper Res

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Data envelopment analysis (DEA) has witnessed increasing popularity in banking studies since 1985. In this paper, we propose a new DEA-based analysis framework with a regression-based feedback mechanism, where regression analysis provides DEA with feedback that informs about the relevance of the inputs and the outputs chosen by the analyst. Unlike previous studies, the DEA models used within the proposed framework could use both inputs and outputs, only inputs, or only outputs. So far, the UK banking sector remains relatively under researched despite its crucial importance to the UK economy. We use the proposed framework to address several research questions related to both the efficiency of the UK commercial banking sector and DEA analyses with and without regression-based feedback. Empirical results suggest that, on average, the commercial banks operating in the UK-whether domestic or foreign-are yet to achieve acceptable levels of overall technical efficiency, pure technical efficiency, and scale efficiency. On the other hand, DEA analyses with and without a linear regression-based feedback mechanism seem to provide consistent findings; however, in general DEA analyses without feedback tend to over-or under-estimate efficiency scores depending on the orientation of the analyses. Furthermore, in general, a linear regression-based feedback mechanism proves effective at improving discrimination in DEA analyses unless the initial choice of inputs and outputs is well informed.Keywords Data envelopment analysis · Efficiency · UK commercial banks · DEA models without explicit inputs · DEA models without explicit outputs

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Section: Landscape Of Research On Efficiency Assessment In Bankingmentioning

confidence: 99%

Section: Landscape Of Research On Efficiency Assessment In Bankingmentioning

confidence: 99%

Section: Landscape Of Research On Efficiency Assessment In Bankingmentioning

confidence: 99%

See 1 more Smart Citation

Assessing efficiency profiles of UK commercial banks: a DEA analysis with regression-based feedback

Ouenniche

Carrales

2018

Ann Oper Res

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“…Favero & Papi (1995;388) bu değişkenlerin seçimi için üretim yaklaşımı, aracılık yaklaşımı, varlık (asset) yaklaşımı, kullanıcı gideri (user cost) yaklaşımı ve katma değer (value added) yaklaşımı olmak üzere 5 farklı yaklaşım tanımlamıştır. Bu yaklaşımlardan ilk üçünün bankaların yerine getirdiği bazı fonksiyonlarıyla ilgiliyken diğer iki yaklaşımın ise bankaların makro ekonomik fonksiyonlarına ilişkin olmadığını belirtmiştir.…”

Section: Literatür Taramasıunclassified

Ağırlık Kısıtlı Veri Zarflama Analizi İle Mevduat Bankalarının Etkinlik Ölçümüne Yönelik Bir Uygulama

Özdemir¹,

Demi̇reli̇²

2013

ijmeb

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“…The intermediation approach (Sealy and Lindley, 1997, Murray and White, 1983, Favero and Papi, 1995 emphasizes the intermediating role of banks, i.e. the fact that they collect deposits and buy capital, which they convert into loans and other assets.…”

Section: Measuring the Output Of Banksmentioning

confidence: 99%

Assessing output and productivity growth in the banking industry

Athanasoglou¹,

Georgiou²,

Staikouras

2009

The Quarterly Review of Economics and Finance

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This paper assesses the evolution of output and productivity in the Greek banking industry for the period 1990-2006. Three main categories of bank output were estimated based on modern theoretical approaches, while for the aggregation and estimation of output and inputs and the estimation of productivity (partial and total factor) we relied on the index number method (Tornqvist index). Additionally, we considered the effect of labor quality on banks' productivity and using a growth accounting framework we examined the contribution of total factor productivity (TFP) to bank output growth. The results show that bank output and labor productivity increased considerably during the period under examination, outpacing the respective GDP growth and labor productivity of the Greek economy. Capital productivity and TFP of the Greek banking industry have also improved remarkably mainly since 1999, as a result of the structural changes that took place within the industry, capital investments (mainly in IT equipment) as well as improvement in the quality of human capital.

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Technical efficiency and scale efficiency in the Italian banking sector: a non-parametric approach

Cited by 274 publications

References 16 publications

Assessing efficiency profiles of UK commercial banks: a DEA analysis with regression-based feedback

Assessing efficiency profiles of UK commercial banks: a DEA analysis with regression-based feedback

Ağırlık Kısıtlı Veri Zarflama Analizi İle Mevduat Bankalarının Etkinlik Ölçümüne Yönelik Bir Uygulama

Assessing output and productivity growth in the banking industry

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