scholarly journals Pakistani Firms’ Efficiency: An Empirical Study of Pakistan Stock Exchange through Data Envelopment Analysis

2018 ◽  
Vol III (III) ◽  
pp. 158-174
Author(s):  
Muhammad Nisar Khan ◽  
Adnan Ahmad ◽  
Noor Jehan
Keyword(s):  
Data Envelopment Analysis ◽  
Stock Exchange ◽  
Optimization Technique ◽  
Secondary Data ◽  
Data Envelopment ◽  
Net Income ◽  
Financial Indicators ◽  
Data Set ◽  
Measuring Efficiency ◽  
Using Data

This paper investigates listed firm efficiency on Pakistan Stock Exchange by using Data Envelopment Analysis (DEA). The reason for application and calculation of the DEA score is to know how much the firms are efficient in utilizing their resources to be converted into output (sales/Net Income). An optimization technique (DEA) that helps calculate efficiencies of firm’s decision making Units (DMU’s) by taking different inputs and outputs variables. This paper uses DEA in measuring efficiency of 136 Pakistani firms listed on Pakistan Stock Exchange (PSX). Using secondary data set of 136 firms for the period 2008-2017, efficiency measurements are calculated by using financial ratios and financial indicators as input and output variables. Results show that some of the firms are efficient in utilizing their available resources in an efficient way to convert it into output, while some are inconsistent in efficiently utilizing their resources (inputs) to get the desired outputs.

scholarly journals Measuring Efficiency of Knowledge Production in Health Research Centers Using Data Envelopment Analysis (DEA): A Case Study in Iran

10.19082/3266 ◽  
2016 ◽  
Vol 8 (11) ◽  
pp. 3266-3271
Author(s):  
Mohammad Meskarpour Amiri ◽  
Taha Nasiri ◽  
Seyed Hassan Saadat ◽  
Hosein Amini Anabad ◽  
Payman Mahboobi Ardakan
Keyword(s):  
Data Envelopment Analysis ◽  
Knowledge Production ◽  
Health Research ◽  
Data Envelopment ◽  
Research Centers ◽  
Measuring Efficiency ◽  
Using Data

Measuring the Efficiency of Free and Open Source Software Projects Using Data Envelopment Analysis

2007 ◽  
pp. 25-46
Author(s):  
Stefan Koch
Keyword(s):  
Data Envelopment Analysis ◽  
Open Source ◽  
Optimization Method ◽  
Future Research ◽  
Data Envelopment ◽  
Software Projects ◽  
Data Set ◽  
Output Factors ◽  
Future Research Directions ◽  
Using Data

In this chapter, we propose for the first time a method to compare the efficiency of free and open source projects, based on the data envelopment analysis (DEA) methodology. DEA offers several advantages in this context, as it is a non-parametric optimization method without any need for the user to define any relations between different factors or a production function, can account for economies or diseconomies of scale, and is able to deal with multi-input, multi-output systems in which the factors have different scales. Using a data set of 43 large F/OS projects retrieved from SourceForge.net, we demonstrate the application of DEA, and show that DEA indeed is usable for comparing the efficiency of projects. We will also show additional analyses based on the results, exploring whether the inequality in work distribution within the projects, the licensing scheme or the intended audience have an effect on their efficiency. As this is a first attempt at using this method for F/OS projects, several future research directions are possible. These include additional work on determining input and output factors, comparisons within application areas, and comparison to commercial or mixed-mode development projects.

An Application of the Data Envelopment Analysis Method to Evaluate the Performance of Academic Departments within A Higher Education Institution

2016 ◽  
pp. 71-87 ◽  
Author(s):  
Oanh Nguyen Hoang ◽  
Ngoc Nguyen Hong
Keyword(s):  
Data Envelopment Analysis ◽  
Research Output ◽  
Academic Staff ◽  
Education Institution ◽  
Academic Departments ◽  
Productivity Change ◽  
Data Envelopment ◽  
Analysis Method ◽  
Data Set ◽  
Using Data

This paper aims to evaluate the efficiency or the productivity of academic departments within a university using Data Envelopment Analysis. As an illustrative example, we investigate the performance of 57 departments of National Economics University (NEU) for three years, from 2013 to 2015. The data set consists of one input variable, which is the number of academic staff, and three output variables in which the number of research hours is considered as research output and the number of graduates and teaching load are defined as teaching outputs. Particularly, the output-oriented CCR, BCC, and SBM model under both the CRS and VRS assumptions are applied in order to determine accurate degrees of efficiency of individual departments and directions for performance improvement for less efficient ones. The output-oriented radial Malmquist DEA model is also employed to make a comparative analysis of the productivity change of the departments over the period. The results reveal some clear policy-making implications for departments to adjust their development plan in an appropriate way.

scholarly journals Dimension-Specific Efficiency Measurement Using Data Envelopment Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Hongjun Zhang ◽  
Youliang Zhang ◽  
Rui Zhang
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
The Other ◽  
Data Envelopment ◽  
Input Output ◽  
Single Dimension ◽  
Measuring Efficiency ◽  
Using Data ◽  
The City ◽  
Decision Making Units

Data envelopment analysis (DEA) is a powerful tool for evaluating and improving the performance of a set of decision-making units (DMUs). Empirically, there are usually many DMUs exhibiting “efficient” status in multi-input multioutput situations. However, it is not appropriate to assert that all efficient DMUs have equivalent performances. Actually, a DMU can be evaluated to be efficient as long as it performs best in a single dimension. This paper argues that an efficient DMU of a particular input-output proportion has its own specialty and may also perform poorly in some dimensions. Two DEA-based approaches are proposed to measure the dimension-specific efficiency of DMUs. One is measuring efficiency in multiplier-form by further processing the original multiplier DEA model. The other is calculating efficiency in envelopment-form by comparing with an ideal DMU. The proposed approaches are applied to 26 supermarkets in the city of Nanjing, China, which have provided new insights on efficiency for the managers.

scholarly journals Measuring efficiency of rice growing farmers using data envelopment analysis

2015 ◽  
Author(s):  
Nerda Zura Zaibidi ◽  
Maznah Mat Kasim ◽  
Razamin Ramli ◽  
Md. Azizul Baten ◽  
Sahubar Ali Nadhar Khan
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Measuring Efficiency ◽  
Using Data
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