Efficiency evaluation of banks in China: A dynamic two-stage slacks-based measure approach

Zha, Yong; Liang, Nannan; Wu, Maoguo; Bian, Yiwen

doi:10.1016/j.omega.2014.12.008

Cited by 141 publications

(92 citation statements)

References 39 publications

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“…For example, Vlontzos et al (2014) applied DEA approach to evaluate the energy and environmental efficiency of the primary sectors of the EU member state countries, the results show that the countries with strong environmental protection standards appear to be less energy and environmentally efficient. Zha et al (2015) used the improved DEA model to evaluate the operational efficiency of banks in China during [2008][2009][2010][2011][2012], and found that the banks in China showed both technical and scale inefficiency. Deng et al (2016) used the slack based measure-data envelopment analysis (SBM-DEA) model to estimate the water use efficiency of 31 provinces in China during [2004][2005][2006][2007][2008][2009][2010][2011][2012][2013].…”

Section: Dea Methodsmentioning

confidence: 99%

Application of the DEA on the performance evaluation of the agricultural support policy in China

Wang¹,

Zhang²,

Zhang³

2017

Agric. Econ. - Czech

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The paper utilizes the data envelopment analysis (DEA) method based on the OECD policy classification to evaluate the performance of the agricultural support policy at the provincial and agricultural commodity levels from the respective viewpoints of agricultural input and output. The analysis at the provincial level mainly focuses on the similarities and differences in the performance of the agricultural support policies between the primary grain-producing areas and the secondary grain-producing areas; at the agricultural commodity level, 17 representative Chinese agricultural commodities are selected and their performance compared. The results are then used to proffer suggestions for the future agricultural support policy optimization in China. The paper found that 50% of the provinces were DEA-efficient, in general, during the study period due to the low overall province-level scale efficiency. The performance values of the secondary grain-producing areas were significantly lower than those of the primary grain-producing areas due to the overall low scale and technical efficiency values. These results show that the support policies for agricultural commodities in China altogether require a further improvement, mainly due to the low technical efficiency of agricultural commodities.

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Section: Dea Methodsmentioning

confidence: 99%

Application of the DEA on the performance evaluation of the agricultural support policy in China

Wang¹,

Zhang²,

Zhang³

2017

Agric. Econ. - Czech

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“…We also would like to point out that other DEA methodologies have been used to assess the efficiency of banks; for example, Network DEA (e.g., Matthews 2013; Grigoroudis et al 2013;Akther et al 2013;Fukuyama and Matousek 2017;Gulati and Kumar 2017), Network DEA with undesirable variables (e.g., An et al 2015;Liu et al 2015), Dynamic DEA (e.g., Avkiran and Goto 2011;Fukuyama andWeber 2015, 2017), Dynamic Network DEA (e.g., Avkiran 2015;Chao et al 2015;Fukuyama andWeber 2015, 2017;Zha et al 2016;Wu et al 2016;Fukuyama and Weber 2017b), Fuzzy DEA (e.g., Wang et al 2014;Wanke et al 2016;Hatami-Marbini et al 2017), DEA with Bootstrapping (e.g., Ferrier and Hirschberg 1997), Fuzzy DEA with Bootstrapping (e.g., Wanke et al 2016), and Stochastic DEA (e.g., Kao and Liu 2009). For a recent survey, we refer the reader to Kaffash and Marra (2017).…”

Section: Landscape Of Research On Efficiency Assessment In Bankingmentioning

confidence: 99%

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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“…While radial models assume that input reductions and output expansions change proportionally (Seiford & Zhu, 1999;Lewis & Sexton, 2004;Castelli, Pesenti, & Ukovich, 2010;Yang & Liu, 2012;Kao, Wu, & Huang, 2017;Marchetti & Wanke, 2017), non-radial models are a more flexible evaluation tool that can compute input contractions and output improvements individually (Yu & Lin, 2008;Barros, Managi, & Matousek, 2012;Xu & Cui, 2017). Furthermore, given that slacks have been recognized as important factors in explaining inefficient behavior (Mahlberg & Sahoo, 2011), a network slacks-based measure (NSBM) model proposed by Tone and Tsutsui (2009) has been widely used for performance evaluation in various industries (Avkiran, 2009;Yu, 2010;Galagedera, Watson, Premachandra, & Chen, 2016;Zha, Liang, Wu, & Bian, 2016;Xu & Cui, 2017).…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Taiwanese International Tourist Hotels: Evidence From a Modified Ndea Model With Ica Technique

Chiu

Lin

2018

Technological and Economic Development of Economy

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Abstract. The motivation for this study is to assess the managerial performance in Taiwanese international tourist hotels based on the two-stage NDEA performance mechanism with ICA technique for enhancing the discriminatory power of performance evaluation model. The two-stage managerial performance structure is applied, incorporating the service production and service operation stages, as a reduced form to introduce the relatively complex business environment of modern enterprise. However, we have need to be considerable of dimensionality curse problem in NDEA performance model. A modified NDEA-based evaluation model, therefore, is proposed to integrate the network slacks-based measure (NSBM) with a dimensional reduction technique, the independent component analysis (ICA). The results indicate that the performance of the profit dimension significantly hampers operational performance, and that both regulators and managers must adjust their market orientation business strategy. Moreover, compared with the NSBM model, this modified ICA-NSBM performance model has a high discriminatory ability to measure the relative performance of the selected hotels.

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Efficiency evaluation of banks in China: A dynamic two-stage slacks-based measure approach

Cited by 141 publications

References 39 publications

Application of the DEA on the performance evaluation of the agricultural support policy in China

Application of the DEA on the performance evaluation of the agricultural support policy in China

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

Performance Evaluation of Taiwanese International Tourist Hotels: Evidence From a Modified Ndea Model With Ica Technique

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