An inverse semi-oriented radial data envelopment analysis measure for dealing with negative data

2020 ◽  
Vol 31 (4) ◽  
pp. 505-516
Author(s):  
Mojtaba Ghiyasi ◽  
Ning Zhu
Keyword(s):  
Data Envelopment Analysis ◽  
Global Financial Crisis ◽  
Returns To Scale ◽  
Data Envelopment ◽  
Negative Data ◽  
Dea Model ◽  
Proposed Model ◽  
Scale Properties ◽  
The Global Financial Crisis ◽  
Special Case

Abstract The conventional inverse data envelopment analysis (DEA) model is only applicable to positive data, while negative data are commonly present in most real-world applications. This paper proposes a novel inverse DEA model that can handle negative data. The conventional inverse DEA model is a special case of our model as our model is more general in terms of returns-to-scale properties. The proposed model is used to evaluate the efficiency of the Chinese commercial banks after the global financial crisis, where negative outputs existed. We show that our model is feasible in the presence of negative data and generates empirical findings that are consistent with reality.

scholarly journals An Integrated Analytic Hierarchy Process—Slack Based Measure-Data Envelopment Analysis Model for Evaluating the Efficiency of Logistics Service Providers Considering Undesirable Performance Criteria

2019 ◽  
Vol 11 (8) ◽  
pp. 2330 ◽  
Author(s):  
Patricija Bajec ◽  
Danijela Tuljak-Suban
Keyword(s):  
Data Envelopment Analysis ◽  
Service Providers ◽  
Performance Criteria ◽  
Data Envelopment ◽  
Analytic Hierarchy ◽  
Dea Model ◽  
Logistics Service ◽  
Logistics Service Providers ◽  
Proposed Model ◽  
Hierarchy Process

Sustainable concerns are reputed to be of the utmost priority among governments. Consequently, they have become more and more of a concern among supply chain partners. Logistics service providers (LPs), as significant contributors to supply chain success but also one of the greatest generator of emissions, play a significant role in reducing the negative environmental impact. Thus, the performance evaluations of LPs should necessarily involve such a measure which, firstly, represents a balance between all three pillars of sustainability and, secondly, consider the desirable and undesirable performance criteria. This paper proposes an integrated analytic hierarchy process (AHP) and slack-based measure (SBM) data envelopment analysis (DEA) model, based on the assumption of a variable return to scale (VRS). An AHP pairwise comparison enables selecting the most influential input/output variables. Output-oriented SBM DEA provides simultaneously evaluation of both the undesirable and desirable outputs. The proposed model was tested on a numerical example of 18 LPs. The comparison of output Charnes, Cooper and Rhodes (CCR) and SBM DEA models resulted in a higher number of inefficient LPs when the SBM DEA model was applied. Moreover, efficiency scores of inefficient LPs were lower in SBM DEA model. The proposed model is fair to those LPs that are environmentally friendly.

Fuzzy stochastic Data Envelopment Analysis with application to NATO enlargement problem

2019 ◽  
Vol 53 (2) ◽  
pp. 705-721 ◽  
Author(s):  
Ali Ebrahimnejad ◽  
Seyed Hadi Nasseri ◽  
Omid Gholami
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Threshold Values ◽  
Discrimination Power ◽  
Dea Model ◽  
Nato Enlargement ◽  
Proposed Model ◽  
Stochastic Dea ◽  
Dea Models ◽  
Stochastic Data

Data Envelopment Analysis (DEA) is a widely used technique for measuring the relative efficiencies of Decision Making Units (DMUs) with multiple deterministic inputs and multiple outputs. However, in real-world problems, the observed values of the input and output data are often vague or random. Indeed, Decision Makers (DMs) may encounter a hybrid uncertain environment where fuzziness and randomness coexist in a problem. Hence, we formulate a new DEA model to deal with fuzzy stochastic DEA models. The contributions of the present study are fivefold: (1) We formulate a deterministic linear model according to the probability–possibility approach for solving input-oriented fuzzy stochastic DEA model, (2) In contrast to the existing approach, which is infeasible for some threshold values; the proposed approach is feasible for all threshold values, (3) We apply the cross-efficiency technique to increase the discrimination power of the proposed fuzzy stochastic DEA model and to rank the efficient DMUs, (4) We solve two numerical examples to illustrate the proposed approach and to describe the effects of threshold values on the efficiency results, and (5) We present a pilot study for the NATO enlargement problem to demonstrate the applicability of the proposed model.

Evaluating Taiwanese Bank Efficiency Using the Two-Stage Range DEA Model

2016 ◽  
Vol 16 (04) ◽  
pp. 1043-1068 ◽  
Author(s):  
Wei-Hsin Kong ◽  
Tsu-Tan Fu ◽  
Ming-Miin Yu
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
Analysis Model ◽  
Negative Data ◽  
Two Stage ◽  
Data Set ◽  
Dea Model ◽  
Domestic Banks

This paper develops a range directional distance data envelopment analysis (DEA) model to simultaneously deal with the problems of negative data and undesirable outputs in the study of performance measurement with two-stage DEA. We report on the development of this model to handle both positive and negative data in a DEA framework and accommodate the problem of undesirable intermediate outputs in the first stage of operational processes. Unlike previous two-stage DEA models we allow for a nonuniform abatement factor imposing on stage 1’ production technology. Such a model is then applied to evaluate Taiwanese bank efficiencies both at the operational stage and profitability stage in banking activities based on a data set consisting of 35 domestic banks in Taiwan in the period 2007. The results indicate that, by the range directional two-stage data envelopment analysis model, the operational efficiency was smaller than the profitability efficiency. Many banks generated too many performing loans in which independent banks should reduce more performing loans than financial holding company subsidiary banks. Both the ratio of investments to loans and the ratio of nonperforming loans to performing loans did not have significant contributions to the efficiency. This paper is able to provide information for bank operators and researchers on the managerial and strategic implications of how negative data and undesirable outputs affect efficiency and how to measure efficiency appropriately.

Research of the Construction Industry Efficiency in China — Based on DEA Panel Data Approach

2013 ◽  
Vol 689 ◽  
pp. 105-109 ◽  
Author(s):  
Wei Zhong Zhou ◽  
Chun Lu Liu
Keyword(s):  
Data Envelopment Analysis ◽  
Panel Data ◽  
Construction Industry ◽  
Returns To Scale ◽  
Increasing Returns ◽  
Data Envelopment ◽  
Increasing Returns To Scale ◽  
Dea Model ◽  
Net Profit ◽  
The Mean

The efficiency of the construction industry is analyzed based on provinces panel data in China in this paper. The Mean Number of Employee and the Mean Completed Investment are used as inputs. The Mean Actual Sales of Commercial Houses and the Mean Net Profit are used as outputs. Data Envelopment Analysis (DEA) model is used to measure the efficiency of the construction industry. Shanghai and Zhejiang are found technically efficient. Shandong is scale efficient but technology efficiency is lower. There are two provinces are decreasing returns to scale and other provinces are increasing returns to scale. On the whole, the technology efficiency of the construction industry of China is lower. Based on the conclusions, the paper proposes some suggestions to improve the efficiency of the construction industry in China.

scholarly journals An Empirical Study of Bank Efficiency in South Africa Using the Standard and Alternative Approaches to Data Envelopment Analysis (DEA)

2014 ◽  
Vol 6 (4) ◽  
pp. 310-317 ◽  
Author(s):  
Coert Erasmus
Keyword(s):  
South Africa ◽  
Data Envelopment Analysis ◽  
Financial Crisis ◽  
Global Financial Crisis ◽  
Data Envelopment ◽  
Bank Efficiency ◽  
Alternative Approach ◽  
Alternative Approaches ◽  
Dea Approach ◽  
The Global Financial Crisis

The paper investigates the efficiency of the major banks of South Africa using the standard and alternative approaches to Data Envelopment Analysis (DEA). The standard DEA approach measures efficiency utilising linear averages of outputs and inputs while the alternative DEA approach utilises nonlinear averages. Individual bank efficiency scores are estimated over the period 2006 to 2012, a period that allows analysis of the efficiency of the banks during the global financial crisis of 2008 to 2009. Under both approaches the majority of the major South African banks were observed to be DEA efficient, with the alternative approach improving the efficiency scores of those banks that were DEA inefficient under the standard approach. The global financial crisis did not affect the efficiency of the majority of the banks. Since the banks were DEA efficient prior the crisis, it could be argued that their efficiency was one of the contributory factors for their resilience during the global financial crisis.

scholarly journals Technical Efficiency Of Social Foundations In A Multidimensional Context

2010 ◽  
Vol 9 (11) ◽  
Author(s):  
Imelda S. Dorado ◽  
Emilyn Cabanda
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Returns To Scale ◽  
The Philippines ◽  
Data Envelopment ◽  
Non Profit ◽  
Dea Model ◽  
Social Foundations ◽  
Efficiency Assessment ◽  
Constant Returns To Scale

The paper is the first attempt at examining the technical efficiency and benchmarking the performance of 15 social foundations in the Philippines for the period 2000-2005 using the data envelopment analysis (DEA) model. The 65.55% of social foundations are operating at increased returns to scale, 4.45% at decreased returns to scale and 30% at constant returns to scale. Forty percent of firms are efficiently utilizing their expenses and the majority shows resource excesses (capital and labor). All firms show output deterioration for donations and total awards to beneficiaries. With the aid of the DEA tool, measurement of the efficiency of social foundations has been verified and proven as manageable and quantifiable from a multidimensional assessment. Results reveal the importance of technical efficiency assessment for the non-profit sector.

Data envelopment analysis with interactive variables

2015 ◽  
Vol 53 (10) ◽  
pp. 2390-2406 ◽  
Author(s):  
Aibing Ji ◽  
Hui Liu ◽  
Hong-jie Qiu ◽  
Haobo Lin
Keyword(s):  
Data Envelopment Analysis ◽  
Special Form ◽  
Design Methodology ◽  
Data Envelopment ◽  
Content Type ◽  
Dea Model ◽  
Proposed Model ◽  
Choquet Integrals ◽  
Practical Implications ◽  
Decision Making Units

Purpose – The purpose of this paper is to build a novel data envelopment analysis (DEA) model to evaluate the efficiencies of decision making units (DMUs). Design/methodology/approach – Using the Choquet integrals as aggregating tool, the authors give a novel DEA model to evaluate the efficiencies of DMUs. Findings – It extends DEA model to evaluate the DMU with interactive variables (inputs or outputs), the classical DEA model is a special form. At last, the authors use the numerical examples to illustrate the performance of the proposed model. Practical implications – The proposed DEA model can be used to evaluate the efficiency of the DMUs with multiple interactive inputs and outputs. Originality/value – This paper introduce a new DEA model to evaluate the DMU with interactive variables (inputs or outputs), the classical DEA model is a special form.

Productivity in the Hotel Industry: An Order-α Malmquist Productivity Indicator

2020 ◽  
Vol 45 (1) ◽  
pp. 133-150
Author(s):  
Panayiotis Tzeremes ◽  
Nickolaos G. Tzeremes
Keyword(s):  
Data Envelopment Analysis ◽  
Global Financial Crisis ◽  
Extreme Values ◽  
Empirical Studies ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Robust Version ◽  
Productivity Indices ◽  
The Global Financial Crisis

In the literature, it is highlighted that the deterministic nature of the data envelopment analysis–based productivity measures makes them sensitive to sample characteristics. However, the majority of the related empirical studies ignore the potential bias in their data envelopment analysis–based productivity estimations. This article illustrates how the order-α quantile-type estimators can be applied to construct a robust version of the Malmquist productivity indices. Using the order-α estimators, we construct a Malmquist productivity index alongside with two well-known decompositions. The proposed productivity indicator is less sensitive to potential outliers and extreme values. Then, as an illustrative example, we apply the quantile-type productivity index on a sample of 270 hotels operating in the Balearic Islands over the period 2004-2013. The productivity levels alongside with their components are analyzed during the global financial crisis period.

scholarly journals The efficiency effects of bank mergers: An analysis of case studies in Vietnam

2017 ◽  
Vol 7 (1) ◽  
pp. 61-70 ◽  
Author(s):  
Tu DQ Le
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Global Financial Crisis ◽  
Banking System ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Efficiency Gains ◽  
The Public ◽  
The Global Financial Crisis ◽  
Efficiency Effects

This paper employs Data Envelopment Analysis to examine the relative efficiency for Vietnamese banks from 2008 to 2015. Efficiency level is relatively high and remains stable over the examined period, suggesting the banking system is less affected by the global financial crisis. More specifically, technical efficiency and scale efficiency in Vietnamese banking is examined when controlling for problem loans. We suggest that controlling for the exogenous impact of problem loans is important for joint-stock banks. Furthermore, our results do not support the hypothesis that acquiring banks are more efficient than the acquired banks. The efficiency improved in majority of merger cases and was not related to acquiring bank’s efficiency advantage over its targets. Small-and medium- banks should be promoted in future acquisitions as a means to enjoying efficiency gains. Finally, there are mixed results on the extent to which the benefits of efficiency gains are passed on to the public.

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