Ranking with a Euclidean common set of weights in data envelopment analysis: with application to the Eurozone banking sector

Hammami, Helmi; Ngo, Tuan; Tripe, David; Vo, Dinh-Tri

doi:10.1007/s10479-020-03759-6

Cited by 22 publications

(20 citation statements)

References 39 publications

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“…Another problem with IDEA is that it aims to construct a composite index of agriculture sustainability using equal weights from the components and sub‐component indicators, assuming that all indicators/components play a similar role in the index (Zahm et al, 2008; Zahm et al, 2018). This weighting system is thus simple and not accurate, as different indicators and components should have different contributions to the overall index, as discussed previously in Cherchye, Moesen, Rogge, and van Puyenbroeck (2007), OECD (2008) and Hammami, Ngo, Tripe, and Vo (2020), among others.…”

Section: Methodsmentioning

confidence: 99%

Assessing the important factors of sustainable agriculture development: An Indicateurs de Durabilité des Exploitations Agricoles‐Analytic Hierarchy Process study in the northern region of Vietnam

Ngo

Nguyen²,

Ho³

et al. 2020

Sustainable Development

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Combining the systemic indicators of sustainable agriculture provided by the Indicateurs de Durabilité des Exploitations Agricoles (IDEA) framework and the pairwise comparison method provided by the Analytic Hierarchy Process (AHP) technique, this study examined 644 farmers in the Northern region of Vietnam (using Bac Giang province as a case study) to identify and rank those important factors according to their contributions to the farmer's practices. We found that the Economic dimension is the most important factor that contributes 54% toward the overall Sustainable Agriculture, followed by the Socio-territorial dimension (29%) and then the Agroecology dimension (17%). We further argue that while it is reasonable for farmers to focus on the sustainable economic performance aspect of their farms, there is a need for the local authorities to be involved to maintain a balanced sustainable agriculture development in the region. K E Y W O R D S agriculture, Analytic Hierarchy Process (AHP), Indicateurs de Durabilité des Exploitations Agricoles (IDEA), Northern region of Vietnam, sustainable development | INTRODUCTIONThe agriculture sector is becoming more important, especially in developing countries, because of its central role in food safety, hunger and

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Section: Methodsmentioning

confidence: 99%

Assessing the important factors of sustainable agriculture development: An Indicateurs de Durabilité des Exploitations Agricoles‐Analytic Hierarchy Process study in the northern region of Vietnam

Ngo

Nguyen²,

Ho³

et al. 2020

Sustainable Development

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“…In this section, we review the following: Entropy [31], Statistical Variance, Standard Deviation [32], CRITIC [33], DEMATEL [34], and DEMATEL-based ANP [35]. However, other promising methods could be considered, such as CSW-DEA [36][37][38], nonlinear programming methods [39], and swing-weighting [40], just to name a few.…”

Section: Objective Methods For Criteria Weightingmentioning

confidence: 99%

“…As future work, we plan to extend CMCGDM to work with other GDM methods available in the literature as well as with uncertain criteria, such as those that involve fuzzy, interval, incomplete, or random values [1,14,57]. We also plan to compare CMCGDM with other methods for eliciting criteria weights, such as CSW-DEA [36,37], nonlinear programming methods [39], and swing-weighting [40]. We shall also investigate the use of GCCA to recalibrate the criteria weights in dynamic settings, particularly in those circumstances where the sets of alternatives or criteria are allowed to change over time [58].…”

Section: Final Remarksmentioning

confidence: 99%

Eliciting Correlated Weights for Multi-Criteria Group Decision Making with Generalized Canonical Correlation Analysis

Santos

Coelho

2020

Symmetry

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The proper solution of a multi-criteria group decision making (MCGDM) problem usually involves a series of critical issues that are to be dealt with, among which two are noteworthy, namely how to assign weights to the (possibly distinct) judgment criteria used by the different decision makers (DMs) and how to reach a satisfactory level of agreement between their individual decisions. Here we present a novel methodology to address these issues in an integrated and robust way, referred to as the canonical multi-criteria group decision making (CMCGDM) approach. CMCGDM is based on a generalized version of canonical correlation analysis (GCCA), which is employed for simultaneously computing the criteria weights that are associated with all DMs. Because the elicited weights maximize the linear correlation between all criteria at once, it is expected that the consensus measured between the DMs takes place in a more natural way, not necessitating the creation and combination of separate rankings for the different groups of criteria. CMCGDM also makes use of an extended version of TOPSIS, a multi-criteria technique that considers the symmetry of the distances to the positive and negative ideal solutions. The practical usefulness of the proposed approach is demonstrated through two revisited examples that were taken from the literature as well as other simulated cases. The achieved results reveal that CMCGDM is indeed a promising approach, being more robust to the problem of ranking irregularities than the extended version of TOPSIS when applied without GCCA.

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“…DEA has been extensively used in the banking sector (Emrouznejad and Yang, 2018 ; Liu et al., 2013 ; Daraio et al., 2020 ) because it can flexibly deal with multiple outputs of different natures, and it also does not require an a priori production function; the latter is normally difficult to define clearly for commercial banks (Reinhard et al., 2000 ; Ngo and Le, 2019 ). It is worth mentioning that DEA has also been extended to various other fields (e.g., insurance and mutual funds) and different models (e.g., network DEA, Malmquist DEA, bootstrap DEA, and common‐set‐of‐weights DEA) (Simar and Wilson, 2007 ; Tone and Tsutsui, 2009 ; Hammami et al., 2020 ; Ngo and Tsui, 2021 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Data envelopment analysis (DEA) and stochastic frontier analysis (SFA) are the two most popular tools used for frontier analysis, with DEA being more popular in the banking efficiency literature because of its flexibility within the complex setting of the banking sector and its relevance to small samples (Liu et al., 2013 ; Kaffash and Marra, 2017 ; Boubaker et al., 2018 ; Emrouznejad and Yang, 2018 ). More specifically, DEA evaluates the efficiency of the banks by using a given set of inputs to produce a maximum set of outputs (output‐oriented DEA) or by using the minimum set of inputs to produce a given set of outputs (input‐oriented DEA) or a combination of both (Ngo and Le, 2019 ; Hammami et al., 2020 ; Boubaker et al., 2021 ). From a practical perspective, however, one may raise the question of how much input (or output) needs to be consumed (or produced) if a bank wants to reach a certain efficiency level.…”

Section: Introductionmentioning

confidence: 99%

Managing bank performance under COVID‐19: A novel inverse DEA efficiency approach

Boubaker

Ngo

2022

Int Trans Operational Res

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The evolution of the COVID‐19 pandemic is highly unpredictable; however, its impacts are limited to neither a single sector nor a single country. This study evaluates the performance and efficiency of 49 Islamic banks across 10 countries during 2019–2020 to assess how those banks can preserve their performance and remain resilient in the aftermath of the COVID‐19 pandemic. Using the conventional inverse data envelopment analysis (InvDEA) approach, we show that because of reductions in their outputs, 31 out of the 49 banks studied would need to reduce their inputs so that their efficiency can remain unchanged. However, we show that only 10 banks need to make such adjustments to maintain their efficiency levels using our proposed InvDEA efficiency model. The adjustment for those 10 banks would help in reducing more inputs, suggesting more cost savings, and improving the overall efficiency of the examined banks, compared with the other 31 banks.

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Ranking with a Euclidean common set of weights in data envelopment analysis: with application to the Eurozone banking sector

Cited by 22 publications

References 39 publications

Assessing the important factors of sustainable agriculture development: An Indicateurs de Durabilité des Exploitations Agricoles‐Analytic Hierarchy Process study in the northern region of Vietnam

Assessing the important factors of sustainable agriculture development: An Indicateurs de Durabilité des Exploitations Agricoles‐Analytic Hierarchy Process study in the northern region of Vietnam

Eliciting Correlated Weights for Multi-Criteria Group Decision Making with Generalized Canonical Correlation Analysis

Managing bank performance under COVID‐19: A novel inverse DEA efficiency approach

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