Using the bootstrap method to detect influential DMUs in data envelopment analysis

2009 ◽  
Vol 173 (1) ◽  
pp. 89-103 ◽  
Author(s):  
Zijiang Yang ◽  
Xiaogang Wang ◽  
Dongming Sun
Keyword(s):  
Data Envelopment Analysis ◽  
Bootstrap Method ◽  
Data Envelopment ◽  
The Bootstrap Method

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 PENGARUH PERUBAHAN STANDAR AKUNTANSI KEUANGAN (SAK) TERHADAP EFISIENSI BANK PERKREDITAN RAKYAT (BPR) DENGAN PENDEKATAN DATA ENVELOPMENT ANALYSIS (DEA)

2013 ◽  
Vol 2 (1) ◽  
Author(s):  
Suprihadi Suprihadi
Keyword(s):  
Data Envelopment Analysis ◽  
Bootstrap Method ◽  
Accounting Standards ◽  
Financial Statements ◽  
Financial Accounting ◽  
Third Party ◽  
Data Envelopment ◽  
Net Income ◽  
Fixed Assets ◽  
Input Variables

<p><em>The study was conducted to examine the effect of changes in Financial Accounting Standards (SAK) business Rural Bank (BPR), with the enactment of the Financial Accounting Standards Un Accountability Public-entity-(SAK-ETAP) and the Rural Bank Accounting Guidelines (PA-BPR), to BPR efficiency. SAK changes may result in changes to the financial performance of business efficiencies, especially BPR. Efficiency is one of the performance parameters which theoretically can be used as a basis for determining the performance of the bank.</em><em> </em><em>Non-parametric approach to Data-Envelopment Analysis (DEA), used as a tool for evaluating the efficiency of BPR, with input variables (cash, placements with other banks, fixed assets, other assets, third party financing, interest income, interest expense, expense fees and expenses operational) and the output variable (that is given credit, loans received, and net income). Analysis of the influence of changes in accounting standards on the efficiency of BPR, performed using Analysis of Variance analysis tools-(ANOVA) and regression bootstrap method. The results showed that, for BPR in East Java which has total assets of Rp. 10 (ten) million, changes in accounting standards had no effect on the efficiency of BPR. The condition is caused by, changes in financial accounting standards, fundamentally, is the reclassification and changes in the presentation of accounts in the financial statements BPR.</em></p> <p><br /> <strong>Key words</strong>: Financial Accounting Standards, Efficiency, BPR, DEA</p>

Determining rates of change in data envelopment analysis

1997 ◽  
Vol 48 (6) ◽  
pp. 591-593
Author(s):  
Z Huang ◽  
S X Li ◽  
J J Rousseau
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Rates Of Change

Data Envelopment Analysis Theory, Methodology and Applications

1997 ◽  
Vol 48 (3) ◽  
pp. 332-333 ◽  
Author(s):  
A Charnes ◽  
W Cooper ◽  
A Y Lewin ◽  
L M Seiford
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Analysis Theory
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