Efficiency of Turkish banking: Two-stage network system. Variable returns to scale model

Fukuyama, Hirofumi; Matoušek, Roman

doi:10.1016/j.intfin.2010.08.004

Cited by 119 publications

(120 citation statements)

References 34 publications

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“…Starting with the work of Fukuyama and Weber (2010), there have been an increasing number of studies in the banking field (Akther et al, 2013;Fukuyama and Matousek, 2011;Lin and Chiu, 2013;Mukherjee et al 2003;Yang and Liu, 2012;Wang et al 2014a,b;Wanke and Barros, 2014;Wu et al, 2016) using the two stage-DEA model. The general concept of two-stage DEA models is based on the pioneering work of Färe and Grosskopf (1996a), who were the first to analyze the sources of efficiency.…”

Section: A Brief Overview Of "Deposit Dilemma" and Dea Two-stage Netwmentioning

confidence: 99%

“…This model can therefore overcome the deposit dilemma by modelling the dual role of deposits through two stages of estimations. Specifically, deposits are the outputs of the first stage, while in the second stage they are modeled as inputs to be invested in earning assets (Fukuyama and Matousek, 2011;Fukuyama and Weber, 2010;Holod and Lewis, 2011). By revising the literature 2 , we can identify four specifications of the two-stage network DEA models: independent, connected, relational and game theoretic (Kao and Hwang, 2010;Halkos et al, 2014).…”

Section: A Brief Overview Of "Deposit Dilemma" and Dea Two-stage Netwmentioning

confidence: 99%

“…We collected the data from Bankscope. We specify the inputs and outputs of the two-stage DEA model following Fukuyama and Matousek (2011) and Holod and Lewis (2011). In particular, we use the two-stage approach to overcome the deposits dilemma and ensure the dual role of deposits (Fig.…”

Section: Data and Model Descriptionmentioning

confidence: 99%

“…In 1 http://www.ebrd.com/downloads/research/REP/regional-economic-prospects1210.pdf, 01/10/2015. (Fukuyama and Matousek, 2011;Fukuyama and Weber, 2010;Holod and Lewis, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Investigating bank efficiency in transition economies: A window-based weight assurance region approach

et al. 2017

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This paper examines the efficiency of 116 banks for 9 new EU members in Central and Eastern European (CEE) countries over the period [2004][2005][2006][2007][2008][2009][2010][2011][2012][2013][2014][2015]. We employ the Weight Assurance Region (WAR) and we treat deposits as an intermediate variable in a two-stage data-envelopment analysis model. We then expand the WAR model by including a window-based approach to take into account the patterns of efficiency over time. The results indicate a low level of efficiency over the entire period of analysis, especially for Eastern European and Balkan countries rather than Central European countries. Overall, we find that inefficiency in CEE countries is mainly driven by the profitability stage rather than the value added activity stage.

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Section: A Brief Overview Of "Deposit Dilemma" and Dea Two-stage Netwmentioning

confidence: 99%

Section: A Brief Overview Of "Deposit Dilemma" and Dea Two-stage Netwmentioning

confidence: 99%

Section: Data and Model Descriptionmentioning

confidence: 99%

“…In 1 http://www.ebrd.com/downloads/research/REP/regional-economic-prospects1210.pdf, 01/10/2015. (Fukuyama and Matousek, 2011;Fukuyama and Weber, 2010;Holod and Lewis, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Investigating bank efficiency in transition economies: A window-based weight assurance region approach

et al. 2017

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“…In the recent years, a number of DEA studies have focused on measuring the relative efficiency of DMUs with a two-stage structure (e.g. see [1][2][3][4][5][6]). In the two-stage DEA, DMUs have a two-stage structure and intermediate measures exist between two consecutive stages.…”

Section: Introductionmentioning

confidence: 99%

Returns to Scale and Scale Elasticity in Two-Stage Dea

Khaleghi

Jahanshahloo

Zohrehbandian

et al. 2012

MCA

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Abstract-Data Envelopment Analysis (DEA) provides a method to evaluate the relative efficiency of peer Decision Making Units (DMUs) that have multiple inputs and outputs. Production process in two-stage DEA is performed in the two consecutive phases and DMUs have intermediate measures, in addition to their inputs and outputs. A unique feature of the intermediate measures is that the outputs in the first stage are being treated as inputs in the second stage. The aim of this paper is to determine the returns to scale (RTS) classification and scale elasticity (SE) in two-stage DEA. Therefore an approach is introduced for estimating the RTS situation of DMUs with two-stage structure based on the consideration of SE quantity in each of the individual stages. The utilization of the proposed approach is demonstrated with a real data set.

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An exploration of operational efficiency, market efficiency, and sustainable development in the banking industry

Chen,

Lin,

Chiu

et al. 2024

Corp Soc Responsibility Env

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Sustainable development is the primary goal of the current global economic transformation. The banking industry, as an intermediary institution within the financial system, not only serves as a crucial foundation for national economic development but also plays a key role in the global transition to sustainability and a low‐carbon economy. Banks can leverage the influence of financing to direct funds towards sustainable ventures and simultaneously develop green financial products, guiding ordinary consumers to make more environmentally friendly choices. How the banking industry can effectively improve operational efficiency while considering sustainable development is one of the key focuses of ongoing development in the banking sector. The main aim of this study is to incorporate the aspect of sustainable development into the evaluation of operational efficiency, aligning with the goals of corporate sustainable development. It allows for an analysis of how decision‐makers in the banking industry can adjust resources to maintain stable and sustainable profitability while promoting sustainable development. This study selected 13 financial holding banks and 19 non‐financial holding banks in Taiwan as research subjects, covering the period from 2016 to 2021. Utilizing a meta assurance regions (AR) parallel dynamic two‐stage slacks‐based measure model with “operational stage” and “market and sustainability parallel stage,” the research explores the efficiency performance of banks considering sustainable development. It examines the differences in efficiency performance at various stages among different types of banks. The research findings are as follows: (1) among the banking industry in Taiwan, operational stage efficiency ranks the highest, followed by sustainable stage efficiency, while market stage performance lags behind. (2) Financial holding banks outperform non‐financial holding banks on average in operational stage, market stage, and sustainable stage efficiency. (3) Fubon Financial, TFH, CATHAY HOLDINGS, and SKFH are benchmark performers among financial holding banks. (4) Non‐financial holding banks exhibit a higher average technical gap ratio compared to financial holding banks, indicating that non‐financial holding banks have fewer inefficient areas to improve. However, the technical efficiency of both groups of banks approaches each other over the years. (5) In the sustainable stage, financial holding banks demonstrate superior environmental indicators and corporate treatment efficiency compared to non‐financial holding banks.

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Efficiency of Turkish banking: Two-stage network system. Variable returns to scale model

Cited by 119 publications

References 34 publications

Investigating bank efficiency in transition economies: A window-based weight assurance region approach

Investigating bank efficiency in transition economies: A window-based weight assurance region approach

Returns to Scale and Scale Elasticity in Two-Stage Dea

An exploration of operational efficiency, market efficiency, and sustainable development in the banking industry

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