scholarly journals Assessing the Middle East Top Container Ports Relative Technical Efficiency

2019 ◽  
Vol 56 (1) ◽  
pp. 59-72
Author(s):  
Ahmed Atef Shaheen ◽  
Mohamed Abbas Elkalla
Keyword(s):  
Data Envelopment Analysis ◽  
Middle East ◽  
Technical Efficiency ◽  
Geographical Location ◽  
Data Envelopment ◽  
Slack Variable ◽  
Container Ports ◽  
Trade Route ◽  
East West ◽  
Ccr Model

Middle East main container ports are developing rapidly with a lot of investments. This is due to their geographical location in the main East-West trade route. Accordingly, it is important to assess their relative technical efficiency to make them visible and stand out in such a development. This research will assess the relative technical efficiency based on the infrastructure of the main container ports in the Middle East by the aid of data envelopment analysis (DEA) for the year 2017. This will be performed by using the DEA four models based on the input oriented mode CCR model, BCC model, Supper efficiency and the Slack variable analyses. Results of the research highlight that nearly 80% of the studied ports are, with an increasing return to scale approach to the study ports, suffering from a surplus in their infrastructure that should be considered in future investments.

ANALYSIS OF THE TECHNICAL EFFICIENCY OF MAJOR LATIN AMERICA AND THE CARIBBEAN PORTS USING BOOTSTRAP

2021 ◽  
Vol 9 (1) ◽  
pp. [12 p.]-[12 p.]
Author(s):  
ANTONIO GIL ROPERO ◽  
MARIA DEL MAR CERBÁN JIMÉNEZ ◽  
IGNACIO TURIAS DOMINGUEZ
Keyword(s):  
Latin America ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Bootstrap Method ◽  
Operational Efficiency ◽  
Container Terminals ◽  
Data Envelopment ◽  
Container Ports ◽  
The Caribbean ◽  
Low Efficiency

ABSTRACT: The aim of this paper is to analyze the Technical Efficiency of a sample of 13 container ports of Latin America and the Caribbean, which generated movements of more than one million TEUs in the period 2012-2018, according to the Economic Commission for Latin America and the Caribbean (ECLAC). In the first stage, Data Envelopment Analysis (DEA) has been used to obtain the Technical Efficiency, with an output-oriented option: Variable Return Scale (BCC). In a second stage, the bootstrap method has been applied in order to determine efficiency rankings of Latin America and the Caribbean container ports. The main contribution of this article is the application of DEA and Bootstrap models in the study of operational efficiency of the main container terminals in Latin America and the Caribbean. The techniques presented manage to determine, with a high degree of precision, the role played by the main container traffic variables in the operational efficiency of their terminals. They represent a valuable tool for the analysis of the dimensioning of the infrastructures of the ports studied. The models developed in this work have been evaluated through a database obtained from the public entities that manage these ports in Latin America and the Caribbean, but they can be applied in other ports of different countries and/or commercial areas that share the same typology of traffic and characteristics. The corrected efficiency results obtained by the Bootstrap BCC Output-oriented methodology denote some homogeneity in two large groups of ports. The ports with corrected efficiency values above 85%, and low differences between the values obtained in the two methodologies, should develop an analysis of their infrastructures in the short and medium-term. A second group consisting of Cartagena, Freeport, Lazaro Cardenas, San Antonio and Buenos Aires ports, obtain low efficiency values of less than 65% and therefore, should develop a traffic strategy analysis to attract new traffic in order to be efficient. Keywords: Efficiency, Bootstrap, Data Envelopment Analysis, Terminal Containers

scholarly journals An Interpretation Of The Technical Efficiency As The "Best Possible Deviation" From The Conditions Defined By The Weak Axiom Of Profit Maximization

2011 ◽  
Vol 6 (2) ◽  
Author(s):  
Said Gattoufi ◽  
Yuntong Wang ◽  
Arnold Reisman ◽  
Muhittin Oral
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Profit Maximization ◽  
Data Envelopment ◽  
Efficiency Measures ◽  
Weak Axiom ◽  
Ccr Model ◽  
Decision Making Units

This paper provides a characterization of the classical Charnes, Cooper and Rhodes (CCR) model in Data Envelopment Analysis (DEA). The characterization is based on the Weak Axiom of Profit Maximization (WAPM) in Firm Theory. Efficiency measures for Decision Making Units (DMUs) provided by the classical CCR-DEA model are derived as measurements of deviations from the conditions prescribed by the Weak Axiom of Profit Maximization (WAPM).

scholarly journals An Evaluation of the Technical Efficiency of the Selected Commercial Banks with the Usage of the CCR-DEA Model under the Conditions of Acquisitions in the Banking Sector

2020 ◽  
Vol 54 (1) ◽  
pp. 77
Author(s):  
Anna Pyka
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Linear Form ◽  
Commercial Banks ◽  
Banking Sector ◽  
Data Envelopment ◽  
Dea Model ◽  
The Impact ◽  
Ccr Model

<p>The aim of this article is to evaluate the technical efficiency of the chosen commercial banks, which in the years 2014–2016 were participants in acquisitions in the banking sector, with the usage of the Data Envelopment Analysis (DEA) model. The DEA model was modified through reshaping the linear form using the Charnes, Cooper, and Rhodes (CCR) model, which is aimed at expenditures. Particular attention was paid to the impact of acquisitions in the banking sector on the improvement or deterioration of the technical efficiency of banks that act as acquiring banks.</p>

scholarly journals Seaport efficiency and productivity based on Data Envelopment Analysis and Malmquist Productivity Index

2015 ◽  
Vol 6 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Joanna Baran ◽  
Aleksandra Górecka
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Data Set ◽  
Container Ports ◽  
Efficiency Ranking ◽  
Efficiency And Productivity

Abstract Seaport efficiency and productivity are the critical factors for handling of goods in the international supply chains and plays an important role in trade exchange with other countries. It is important to evaluate efficiency and productivity of seaports to reflect their status and reveal their position in competitive environment. The main purpose of this article is to use Data Envelopment Analysis and Malmquist Productivity Index to measure the technical efficiency and total factor productivity of container ports. DEA analysis enables one to assess how efficiently a seaports uses the available inputs to generate a set of outputs relative to other units in the data set. This article presents the use CCR and BCC DEA model, to determine overall technical efficiency, pure technical efficiency and scale efficiency of container ports. The analysis gives a possibility to create a efficiency ranking of seaports. The study also applies the Malmquist Productivity Index (MPI), which was used to analyze changes in seaports productivity. The study indicated that technological progress had a greater impact on the change in productivity of container ports than changes in technical efficiency.

scholarly journals IS THE EFFICIENCY OF BANKS DEGENERATING DUE TO THE MOUNTING OF NON-PERFORMING ASSETS? AN EMPIRICAL INVESTIGATION USING DEA

2020 ◽  
Author(s):  
Sudarshan Maity ◽  
Tarak Nath Sahu
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Banking Sector ◽  
Empirical Investigation ◽  
Banking System ◽  
Data Envelopment ◽  
Upward Trend ◽  
Using Data ◽  
Asset Quality ◽  
Ccr Model

Indian banking system is saddled with bad loans which have resulted in huge losses. Profitability remains a concern due to the rise of NPAs. Investors should not expect high reporting profits from banks due to the ascending provision of the NPAs. Banks are not performing well and they may not be much efficient due to the rise of NPAs daily. Using data envelopment analysis, the present study intends to assess technical efficiency of banks. As the requirement of homogeneity is fulfilled, the input oriented CCR model is applied. The study finds that the number of efficient banks has shortened and the average overall technical efficiency of selected banks moves downward throughout the study period. It also reveals that the inefficiency is mostly due to the upward trend of NPAs. Asset quality plays the most crucial role toward the performance of banking sector. Thus, banks and regulators should control the upward trend of NPAs to enhance the efficiency level.  

scholarly journals The Measurement of Innovation Efficiency of Chinese High-tech Industry Using Data Envelopment Analysis

2015 ◽  
Vol 65 (s2) ◽  
pp. 101-113 ◽  
Author(s):  
Ling Jiang ◽  
Yunyu Jiang ◽  
Zhijun Wu ◽  
Dongsheng Liao ◽  
Runfa Xu
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Environmental Variables ◽  
Scale Efficiency ◽  
High Tech ◽  
Data Envelopment ◽  
High Tech Industry ◽  
Economic Competitiveness ◽  
Development Level ◽  
Using Data

In the era of knowledge economy, a country’s economic competitiveness depends largely on the development level of high-tech industry. This paper evaluates the efficiency of China’s high-tech industry in 31 provinces in 2012 with data envelopment analysis. The empirical results are summarized as following. Firstly, when the effects of exogenous environmental variables are not controlled, the comprehensive technical efficiency of 31 provinces will be overestimated, the pure technical efficiency will be underestimated, and the scale efficiency value will be overestimated. Secondly, after eliminating the environmental impact, the comprehensive technical efficiency of 31 provinces with the average of 0.395 is rather low, due to the low scale efficiency.

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