Estimation of Container Port Efficiency Using Data Envelopment Analysis and Free Disposal Hull Approaches: The Case of the Caribbean

2019 ◽  
Author(s):  
Anastasios Charisis ◽  
Stavroula Manta ◽  
Evangelos I. Kaisar ◽  
Majed Al-Ghandour
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Container Port ◽  
Free Disposal Hull ◽  
Free Disposal ◽  
Port Efficiency ◽  
The Caribbean ◽  
Using Data

scholarly journals Estimation of Congestion in Free Disposal Hull Models Using Data Envelopment Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
M. Abbasi ◽  
G. R. Jahanshahloo ◽  
M. Rostamy-Malkhlifeh ◽  
F. Hosseinzadeh Lotfi
Keyword(s):  
Data Envelopment Analysis ◽  
Pairwise Comparisons ◽  
Data Envelopment ◽  
Free Disposal Hull ◽  
Free Disposal ◽  
Proposed Model ◽  
Using Data ◽  
Almost All ◽  
Do So

This paper deals with evaluating congestion in free disposal hull (FDH) models. There are several approaches in data envelopment analysis (DEA) literatures which discuss the theory and application of congestion. However, almost all of these approaches considered convex DEA technologies. So, in the case of nonconvex technologies, including FDH technology, this field is almost nil. This paper makes an attempt to fill in this void. To do so, this study provides a pairwise comparisons-based algorithm to evaluate congestion in FDH model. This algorithm identifies the sources of congestion and estimates its amounts. It is also capable of detecting the losses amounts of output due to congestion. The validity of the proposed model is demonstrated using some numerical and empirical examples.

scholarly journals A Novel Improved Data Envelopment Analysis Model Based on SBM and FDH Models

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Mirpouya Mirmozaffari ◽  
Gohar Azeem ◽  
Azam Boskabadi ◽  
Ali Aranizadeh ◽  
Aditya Vaishnav ◽  
...  
Keyword(s):  
Data Envelopment Analysis ◽  
High Performance ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Free Disposal Hull ◽  
Free Disposal ◽  
Proposed Model

During the past decade, applying nonparametric operation research problems such as Data Envelopment Analysis(DEA) has received significant consideration among researchers. In this paper, a new DEA-based SBM-FDH model is introduced. Finally, productivity evaluation for banking systems in Malmquist Productivity Index (MPI) based on the proposed model has been compared with Slack Based Measurement (SBM) and Free Disposal Hull (FDH). The obtained results confirm the high performance of the proposed model in comparison to the other models used in this paper.                                                                                                                                                                                                                                                                                                                           

scholarly journals Assessment of Dry Port Efficiency in Africa Using Data Envelopment Analysis

2019 ◽  
Vol 09 (02) ◽  
pp. 193-203
Author(s):  
Hamadou Tahirou Abdoulkarim ◽  
Seydou Harouna Fatouma ◽  
Hamadou Tahirou Hassane
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Port Efficiency ◽  
Using Data

scholarly journals EFFICIENCY PERFORMANCE ANALYSIS OF PANIN DUBAI SYARIAH BANK IN COLLECTING AND DISTRIBUTING THIRD PARTY FUNDS BEFORE AND AFTER MERGER

2019 ◽  
Vol 5 (1) ◽  
pp. 46-56
Author(s):  
Supriyono Supriyono ◽  
Ahmad Rodoni ◽  
Yacop Suparno ◽  
Hermadi Hermadi ◽  
Hilyatun Nafisah
Keyword(s):  
Data Envelopment Analysis ◽  
Parametric Method ◽  
Third Party ◽  
Programming Approach ◽  
Data Envelopment ◽  
Linear Programs ◽  
Parametric Approach ◽  
Free Disposal Hull ◽  
Free Disposal ◽  
Non Parametric

In this study, the researcher would make Panin Dubai Syariah Bank was the object of research on Islamic banks that carry out mergers and acquisitions. This research by using quarterly financial reports to determine the level of efficiency of the Panin Dubai Syariah Bank to be analyzed using the Data Envelopment Analysis (DEA) method. The researcher was used the annual report to find out the extent the Panin Dubai Syariah Bank carries out its Shariah values and objectives to be analyzed based on the Maqashid Index Sharia. The frontier approach can be divided into parametric approaches and non-parametric approaches. The parametric  approach  takes  measurements  using  stochastic  econometrics  and  seeks  to  eliminate interference from the effects of inefficiency. While the non-parametric approach with linear programs ( non-parametric linear programming approach ) performs non-parametric measurements using an approach is not stochastic and tends to combine the interference into inefficiency. This is based on the discovery and observation of the population and evaluates efficiency relative to the units observed. In the non- parametric method, the approaches that can be used are Data Envelopment Analysis (DEA) and Free Disposal Hull (FDH). The results of the measurement of Bank Panin Dubai Syariah using DEA indicate that the decision to merge carried out by Panin Syariah Bank with Dubai Islamic Bank was the right decision because, with the merger, Panin Dubai Syariah Bank could produce almost perfect efficiency value of 99% in the year 2015. With doing the merger, Bank Panin Dubai Syariah can minimize the inefficiencies that occur in the input variable so that it can maximize the efficiency that occurs in the output variable

Book Reviews

2014 ◽  
Vol 52 (1) ◽  
pp. 218-220 ◽  
Keyword(s):  
Data Envelopment ◽  
Clemson University ◽  
Free Disposal Hull ◽  
Free Disposal ◽  
University Of Colorado ◽  
Catholic University ◽  
Recent Developments ◽  
Using Data ◽  
Nonparametric Statistical

Carlos Martins-Filho of University of Colorado and IFPRI reviews, “Estimation and Inference in Nonparametric Frontier Models: Recent Developments and Perspectives” by Leopold Simar and Paul W. Wilson. The Econlit abstract of this book begins: “Presents recent developments in, and perspectives on, estimation and inference in nonparametric frontier models. Discusses nonparametric statistical models of production—combining economics and statistics; the nonparametric envelopment estimators; bootstrap inference using data envelopment analysis and free disposal hull estimators; robust order-m estimators; robust order-α estimators; outlier detection; explaining inefficiency; and unanswered questions, promising ideas. Simar is at the Catholic University of Louvain. Wilson is at Clemson University.”

scholarly journals Eficiencia del gasto en salud en la OCDE y ALC: un análisis envolvente de datos

2019 ◽  
pp. 41-78
Author(s):  
Daysi Sanmartín-Durango ◽  
Maria Alejandra Henao-Bedoya ◽  
Yair Tadeo Valencia-Estupiñan ◽  
Jairo Humberto Restrepo-Zea
Keyword(s):  
Health Care ◽  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Parametric Method ◽  
Mortality Rates ◽  
Data Envelopment ◽  
Total Expenditure ◽  
Average Efficiency ◽  
The Caribbean ◽  
Using Data

This paper measures the efficiency of expenditure in health care in 62 countries of Latin America and the Caribbean (LAC) and the Organization for Economic Co-operation and Development (OECD), based on the ratio between the level of total expenditure (as percent of GDP) and some health results (life expectancy and mortality rates in children under five years of age per every 1000 children born alive). For this purpose, the non-parametric method data envelopment analysis was applied using data from 1995, 2005 and 2014 for each group. The results allow identifying the relative efficiency and position of the set of countries analysed within both groups of countries. In 2014, the most efficient countries in LAC were Chile, Cuba, Dominican Republic, Venezuela and Jamaica, whilst in the OECD these were Japan, Luxembourg and Turkey. The average efficiency of LAC countries turns out to be below that of the OECD (0.938 and 0.974, respectively).

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