Analysis of Technical, Pure Technical and Scale Efficiencies of Pakistan Railways Using Data Envelopment Analysis and Tobit Regression Model

2020 ◽  
Vol 20 (4) ◽  
pp. 989-1014
Author(s):  
Khalid Mehmood Alam ◽  
Li Xuemei ◽  
Saranjam Baig ◽  
Li Yadong ◽  
Akber Aman Shah
Keyword(s):  
Data Envelopment Analysis ◽  
Regression Model ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Using Data ◽  
Tobit Regression Model

scholarly journals The Impact of Bank-Specific Factors on the Efficiency of Pakistan's Commercial Banks: Data Envelopment Analysis and Tobit Regression Model Framework

2019 ◽  
Vol IV (IV) ◽  
pp. 600-611
Author(s):  
Farhat Ullah Khan ◽  
Aman Ullah Khan ◽  
Inayat Ullah
Keyword(s):  
Data Envelopment Analysis ◽  
Regression Model ◽  
Commercial Banks ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Model Framework ◽  
Specific Factors ◽  
The Impact ◽  
Tobit Regression Model ◽  
Bank Specific Factors

This study aims to measure the effects of bank-specific factors on the efficiency of Pakistan's twenty-seven (27) commercial banks. Efficiency was computed by input-oriented data envelopment analysis approach under CRS (constant return to scale) and VRS (variable return to scale) assumptions. The results revealed that overall inefficiency in commercial banks was to tune of 10 percent and was caused by both managerial incompetence and uneconomical bank's size. However, the uneconomic scale size remained the dominant source of inefficiency at individual banks level, and most of the banks exhibited a decreasing return to scale (DRS) behaviour. Furthermore, efficiency scores were regressed by bank-specific factors using the Tobit regression model. Among the bank-specific factors, Profitability, liquidity, bank size had a significant and positive impact, while market share and Asset quality had a negative and substantial effect on all the efficiency parameters.

Operating Efficiency Analysis of Energy Industries in Taiwan

2013 ◽  
Vol 869-870 ◽  
pp. 612-620 ◽  
Author(s):  
Nattanin Ueasin ◽  
Anupong Wongchai
Keyword(s):  
Regression Model ◽  
Stock Exchange ◽  
Efficiency Score ◽  
Operating Efficiency ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Factors Affecting ◽  
Taiwan Stock Exchange ◽  
Energy Companies ◽  
Tobit Regression Model

The energy business has played an important role in an economic growth of Taiwan because the market share is in the high value that can make a significant contribution towards regional and local employment. However, Taiwan is lack of energy resources, making the country highly relies on an import for more than 98 percent of its all energy. At present, a top priority of the countrys policy is to develop clean, sustainable, independent, and efficient energy in order to eliminate the vulnerability from external disruption. Therefore, this research aims to assess the operating efficiency and to analyze factors affecting the efficiency scores of the registered energy companies in the Taiwan Stock Exchange (TWSE) recorded during 2003-2012. The super-efficiency data envelopment analysis (SE-DEA) was initially applied to reveal the additional efficiency scores, followed by the Tobit regression model used to analyze what factors determine the efficiency scores. The empirical results showed that seven DMUs performed efficiently, ranking from 7.29 to 1.02. The company with the best operating performance was Taiwan Cogeneration Corporation (TCC), while the Great Taipei Gas Corporation (GTG) revealed the worst efficiency score. Furthermore, the Tobit regression model explained that the higher number of the local employees, the greater the efficiency scores were. Besides, the lower number of the shareholders, the greater the efficiency scores were. As a result, the Taiwans government is supposed to encourage all energy companies to have a higher number of local employees and shareholders to increase their efficiency scores.

Measuring operational efficiency of isolation hospitals during COVID-19 pandemic using data envelopment analysis: a case of Egypt

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahmoud Abdelrahman Kamel ◽  
Mohamed El-Sayed Mousa
Keyword(s):  
Data Envelopment Analysis ◽  
Design Methodology ◽  
Operational Efficiency ◽  
Data Envelopment ◽  
Allocation Of Resources ◽  
Tobit Regression ◽  
Health Crisis ◽  
Content Type ◽  
Dea Analysis ◽  
Using Data

PurposeThis study used Data Envelopment Analysis (DEA) to measure and evaluate the operational efficiency of 26 isolation hospitals in Egypt during the COVID-19 pandemic, as well as identifying the most important inputs affecting their efficiency.Design/methodology/approachTo measure the operational efficiency of isolation hospitals, this paper combined three interrelated methodologies including DEA, sensitivity analysis and Tobit regression, as well as three inputs (number of physicians, number of nurses and number of beds) and three outputs (number of infections, number of recoveries and number of deaths). Available data were analyzed through R v.4.0.1 software to achieve the study purpose.FindingsBased on DEA analysis, out of 26 isolation hospitals, only 4 were found efficient according to CCR model and 12 out of 26 hospitals achieved efficiency under the BCC model, Tobit regression results confirmed that the number of nurses and the number of beds are common factors impacted the operational efficiency of isolation hospitals, while the number of physicians had no significant effect on efficiency.Research limitations/implicationsThe limits of this study related to measuring the operational efficiency of isolation hospitals in Egypt considering the available data for the period from February to August 2020. DEA analysis can also be an important benchmarking tool for measuring the operational efficiency of isolation hospitals, for identifying their ability to utilize and allocate their resources in an optimal manner (Demand vs Capacity Dilemma), which in turn, encountering this pandemic and protect citizens' health.Originality/valueDespite the intensity of studies that dealt with measuring hospital efficiency, this study to the best of our knowledge is one of the first attempts to measure the efficiency of hospitals in Egypt in times of health' crisis, especially, during the COVID-19 pandemic, to identify the best allocation of resources to achieve the highest level of efficiency during this pandemic.

scholarly journals ANALISIS EFISIENSI PENGGUNAAN DANA MASYARAKAT UNTUK KEGIATAN DHARMA PENDIDIKAN DI INSTITUT PERTANIAN BOGOR

2018 ◽  
Vol 20 (3) ◽  
pp. 352
Author(s):  
Mohammad Nur Hadi, Hermanto Siregar, Hendro Sasongko
Keyword(s):  
Data Envelopment Analysis ◽  
Academic Staff ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Academic Factors ◽  
Second Stage ◽  
Financial Factors ◽  
Measuring Efficiency ◽  
Using Data ◽  
Stage Analysis

This study focuses on measuring efficiency of all departements in Bogor Agricultural Institute using Data Envelopment Analysis (DEA) on the first stage and second stage is to determine the factors that influence the efficiency . DEA methodology is to evaluate the efficiency by comparing the all departement and using financial as an inputs and non-financial factors as an outputs. Second stage analysis using tobit regression because dependent factors are cencored between 0 to1 and independent factors uncencored. The results of first stage demonstrate that 54,29 % of departements in Bogor Agricultural University is efficiently operated in terms of academic factors during the period from 2012 to 2014, while 45,71 % is inefficient. And for the second stage the result are international accreditation and non academic staff are the factors can influence the efficiency of departements.

scholarly journals Technical and Scale Efficiency in Spanish Urban Transport: Estimating with Data Envelopment Analysis

2009 ◽  
Vol 2009 ◽  
pp. 1-15 ◽  
Author(s):  
I. M. García Sánchez
Keyword(s):  
Data Envelopment Analysis ◽  
Principal Components ◽  
Supply And Demand ◽  
Quality Parameter ◽  
Urban Transport ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Comparative Efficiency ◽  
Using Data

The paper undertakes a comparative efficiency analysis of public bus transport in Spain using Data Envelopment Analysis. A procedure for efficiency evaluation was established with a view to estimating its technical and scale efficiency. Principal components analysis allowed us to reduce a large number of potential measures of supply- and demand-side and quality outputs in three statistical factors assumed in the analysis of the service. A statistical analysis (Tobit regression) shows that efficiency levels are negative in relation to the population density and peak-to-base ratio. Nevertheless, efficiency levels are not related to the form of ownership (public versus private). The results obtained for Spanish public transport show that the average pure technical and scale efficiencies are situated at 94.91 and 52.02%, respectively. The excess of resources is around 6%, and the increase in accessibility of the service, one of the principal components summarizing the large number of output measures, is extremely important as a quality parameter in its performance.

scholarly journals ANALISIS EFISIENSI PENGGUNAAN DANA MASYARAKAT UNTUK KEGIATAN DHARMA PENDIDIKAN DI INSTITUT PERTANIAN BOGOR

2017 ◽  
Vol 20 (1) ◽  
pp. 72
Author(s):  
Mohamad Nur Hadi ◽  
Hermanto Siregar ◽  
Hendro Sasongko
Keyword(s):  
Data Envelopment Analysis ◽  
Academic Staff ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Academic Factors ◽  
Second Stage ◽  
Financial Factors ◽  
Measuring Efficiency ◽  
Using Data ◽  
Stage Analysis

This study focuses on measuring efficiency of all departements in Bogor Agricultural Institute using Data Envelopment Analysis (DEA) on the first stage and second stage is to determine the factors that influence the efficiency. DEA methodology is to evaluate the efficiency by comparing the all departement and using financial as an inputs and non-financial factors as an outputs. Second stage analysis using tobit regression because dependent factors are cencored between 0 to 1 and independent factors uncencored. The results of first stage demonstrate that 54,29 % of departements in Bogor Agricultural University is efficiently operated in terms of academic factors during the period from 2012 to 2014, while 45,71 % is inefficient. DEA results also show that the Department of gain increasing and decreasing on the time between 2012-2014, the increasing Department is 29% from the total Department, while the decreasing is 20% and the rest always obtain a good level of efficiency. Second stage the result are international accreditation and non academic staff are the factors can influence the efficiency of departements.

scholarly journals Benchmarking Sports Sponsorship Performance: Efficiency Assessment With Data Envelopment Analysis

2016 ◽  
Vol 30 (4) ◽  
pp. 411-426 ◽  
Author(s):  
Merel Walraven ◽  
Ruud H. Koning ◽  
Tammo H.A. Bijmolt ◽  
Bart Los
Keyword(s):  
Data Envelopment Analysis ◽  
Academic Research ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Efficiency Assessment ◽  
Sports Sponsorship ◽  
High Degree ◽  
Practice Projects ◽  
Positive Effect ◽  
Tobit Regression Model

Over the last decades, sports sponsorship has become a popular and expensive marketing instrument. However, in business practice, projects are often not evaluated properly and academic research considering both costs and benefits of sponsorship is limited. In response to the concern that investments in sports sponsorship should be made more accountable, we propose data envelopment analysis (DEA) as a method for benchmarking sponsorship efficiency, and illustrate its usefulness by applying it on a sample of 72 major Dutch sports sponsorship projects. We find an average efficiency level of almost 0.3, which implies that the average project would have attained the same results with 30% of its fee if it had been performing as well as its benchmark. The results reveal that 12.5% of the investigated sponsorships are fully efficient. Moreover, we find a high degree of variety in efficiency scores; 37.5% of the projects with an efficiency below 0.1. In addition, we show how DEA scores may be used by sponsor managers to identify peers, which are those projects that attain roughly the same sponsorship outcomes, but at lowest budgets. After estimating the efficiency scores, a second step in the analyses involves investigating which sponsorship characteristics affect sponsorship efficiency. For this purpose, we use the DEA scores as a dependent variable in a Tobit regression model. The findings suggest that sponsorship clutter negatively affects sponsorship efficiency, whereas sponsorship duration has a positive effect.

Operational efficiency of plastic producing firms in Iran: a DEA approach

2018 ◽  
Vol 25 (7) ◽  
pp. 2126-2144 ◽  
Author(s):  
Nassim Ghondaghsaz ◽  
Asadollah Kordnaeij ◽  
Jalil Delkhah
Keyword(s):  
Positive Influence ◽  
Manufacturing Firms ◽  
Data Availability ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Content Type ◽  
Future Evolution ◽  
Using Data ◽  
Tobit Regression Model ◽  
Significant Positive Influence

Purpose Firms are working in a complex environment in which the updated information increase the pace of precise decision making and reduce the risk of wrong decisions. Therefore, discovering firms’ performance is a major issue. The purpose of this paper is to evaluate the efficiency of Iranian plastic producing companies by using data envelopment analysis (DEA). It also discovers various drivers that significantly affect the efficiency of enterprises. Design/methodology/approach The authors studied a sample of 17 manufacturing firms to examine the relative efficiency of companies. They, then, evaluated the effects of efficiency drivers and used two methods for these purposes: DEA and bootstrapped Tobit regression model. Findings The study has shown that two manufacturing firms out of selected 17 are efficient under the Charnes, Cooper, and Rhodes model. Also, nine out of 17 plastic producing companies are productive under the Banker, Charnes, and Cooper model. The results of Tobit regression shows that only two efficiency drivers out of four have a significant positive influence on the efficiency of plastic producing firms. Research limitations/implications Considering one industry and country limits the generalizability of the results provided. Besides, data availability has limited the analysis in some parts, particularly in bootstrapped Tobit regression. Practical implications The authors listed this section into benchmarking and strategical management; more importantly, the suggestions for improving the chemical industry and its future evolution are presented. Originality/value The paper is classified into two issues: the efficiency of plastic producing firms in Iran and evaluating the reason for inefficiency, apart from internal managerial procedures.

Data Envelopment Analysis (DEA) in the Psychological Sciences

2019 ◽  
Author(s):  
Jeffrey A. Shero ◽  
Sara Ann Hart
Keyword(s):  
Data Envelopment Analysis ◽  
Aggressive Behavior ◽  
Personality Traits ◽  
Educational Administration ◽  
Latent Variable ◽  
Organizational Management ◽  
Data Envelopment ◽  
Targeted Interventions ◽  
Component Skills ◽  
Using Data

Using methods like linear regression or latent variable models, researchers are often interested in maximizing explained variance and identifying the importance of specific variables within their models. These models are useful for understanding general ideas and trends, but often give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method with roots in organizational management that make such insights possible. Unlike models mentioned above, DEA does not explain variance. Instead, it explains how efficiently an individual utilizes their inputs to produce outputs, and identifies which input is not being utilized optimally. This paper provides readers with a brief history and past usages of DEA from organizational management, public health, and educational administration fields, while also describing the underlying math and processes behind said model. This paper then extends the usage of this method into the psychology field using two separate studies. First, using data from the Project KIDS dataset, DEA is demonstrated using a simple view of reading framework identifying individual efficiency levels in using reading-based skills to achieve reading comprehension, determining which skills are being underutilized, and classifying and comparing new subsets of readers. Three new subsets of readers were identified using this method, with direct implications leading to more targeted interventions. Second, DEA was used to measure individuals’ efficiency in regulating aggressive behavior given specific personality traits or related skills. This study found that despite comparable levels of component skills and personality traits, significant differences were found in efficiency to regulate aggressive behavior on the basis of gender and feelings of provocation.

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