Efficiency of China’s Listed Securities Companies: Estimation through a DEA-Based Method

Xu, Tao; You, Jing; Shao, Yilei

doi:10.3390/math8040589

Cited by 4 publications

(2 citation statements)

References 33 publications

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“…The programming is feasible, and (3,4,6) is an initial basis that corresponds to efficient solution x 0 = (0, 0, 1/6, 5/6, 0, 0, 2/3), which is C = (3,4,6). The objective value of e T s − can still be improved by pivoting to an adjacent basis (4,5,6) that corresponds to efficient solution x 1 = (0, 0, 0, 3/4, 1/4, 0, 0), where e T s − = 0. Thus, we have reached to an optimal solution with β 1 = (4, 17/4).…”

Section: Casementioning

confidence: 99%

“…Data envelopment analysis (DEA) is a linear programming (LP) based method to assess the efficiency level of decision-making units (DMUs) with multiple inputs and outputs. DEA is useful for empirically measuring the productive efficiency of DMUs [1], for example, health care [2,3], education [4], economies [5][6][7], banks [8,9], etc. The first DEA model, the Charnes, Cooper, and Rhodes (CCR) model [10], evaluates the efficiency level of each DMU in two aspects, radial inefficiency and mix inefficiency.…”

Section: Introductionmentioning

confidence: 99%

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A Revised Inverse Data Envelopment Analysis Model Based on Radial Models

et al. 2020

Mathematics

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In recent years, there has been an increasing interest in applying inverse data envelopment analysis (DEA) to a wide range of disciplines, and most applications have adopted radial-based inverse DEA models. However, results given by existing radial based inverse DEA models can be unreliable as they neglect slacks while evaluating decision-making units’ (DMUs) overall efficiency level, whereas classic radial DEA models measure the efficiency level through not only radial efficiency index but also slacks. This paper points out these disadvantages with a counterexample, where current inverse DEA models give results that outputs shall increase when inputs decrease. We show that these unreasonable results are the consequence of existing inverse DEA models’ failure in preserving DMU’s efficiency level. To rectify this problem, we propose a revised model for the situation where the investigated DMU has no slacks. Compared to existing radial inverse DEA models, our revised model can preserve radial efficiency index as well as eliminating all slacks, thus fulfilling the requirement of efficiency level invariant. Numerical examples are provided to illustrate the validity and limitations of the revised model.

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Section: Casementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Revised Inverse Data Envelopment Analysis Model Based on Radial Models

et al. 2020

Mathematics

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Financial efficiency analysis: Empirical evidence from the emerging stock market

Ahmad

Khan

Senan

et al. 2022

CLGR

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The purpose of this research is to analyze the financial effectiveness of listed companies in the Indian stock market during the period 2016–2021 to identify which organizations have achieved a combination of technologically viable factors and products that maximize profit, taking into account the limitation of inputs. The methodology used is the data envelopment analysis (DEA), a non parametric procedure that uses the linear programming technique for the evaluation of the relative efficiency of a set of productive units. The results obtained through the DEA model indicate that during the period 2016–2021 there were on average 17 efficient units per year (under the BCC model), representing 26.82% of the total number of listed companies in the Indian stock market; of these companies, six were efficient during all the years of the period analyzed. Moreover, the study concludes that an operational measure such as efficiency is established as an indicator of support for investment decision-making, complementing the traditional indicators of financial analysis. It is expected that this work will open the way to new research in which the DEA methodology is used to evaluate financial efficiency in other stock markets and the consideration of two-stage network DEA models can be considered.

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A Decision Support Model for Measuring Technological Progress and Productivity Growth: The Case of Commercial Banks in Vietnam

Wang

Nguyen

Dang

et al. 2021

Axioms

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The interactive relationship between the banking system and enterprise makes up the role that affects a national economy. Significantly, the relationship between banking and technology has become tighter over the past few decades. An assessment of bank performance is critical for understanding their position and provides valuable information to practitioners. In this paper, we assess the performance of the top 18 commercial banks in Vietnam during 2015–2019. The assessment utilizes two data envelopment analysis (DEA) models while involving the banks’ performance in six dimensions, including assets, deposits, operating expenses, liabilities as inputs, while treating loans and net income as outputs. Using the Malmquist measurement, the total productivity growth indexes of the banks are obtained, which are decomposed into technical and technological evolutions. Window analysis is used to compute the efficiencies of the banks in every single year in 2015–2019. From the results of Malmquist, most banks are found to decrease their Malmquist productivity indexes from 2015 to 2019, wherein both of their technical and technological indexes declined. Window analysis indicates B6-SHBank, B1-Vietinbank, and B18-PetrolimexGroup as the most efficient banks during 2015–2019, and in the interim, B16-BaoVietBank, B11-NationalCitizen, and B13-VietnamMaritime ranked on the bottom line. The managerial implications of this research help to reflect the comprehensive insights of the top Vietnamese commercial bank performance and offer a strategic guideline for decision-makers toward sustainable development in the banking industry.

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Efficiency of China’s Listed Securities Companies: Estimation through a DEA-Based Method

Cited by 4 publications

References 33 publications

A Revised Inverse Data Envelopment Analysis Model Based on Radial Models

A Revised Inverse Data Envelopment Analysis Model Based on Radial Models

Financial efficiency analysis: Empirical evidence from the emerging stock market

A Decision Support Model for Measuring Technological Progress and Productivity Growth: The Case of Commercial Banks in Vietnam

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