scholarly journals Social Sustainability of Provinces in China: A Data Envelopment Analysis (DEA) Window Analysis under the Concepts of Natural and Managerial Disposability

2017 ◽  
Vol 9 (11) ◽  
pp. 2078 ◽  
Author(s):  
Toshiyuki Sueyoshi ◽  
Yan Yuan ◽  
Aijun Li ◽  
Daoping Wang
Keyword(s):  
Data Envelopment Analysis ◽  
Social Sustainability ◽  
Data Envelopment ◽  
Window Analysis ◽  
Dea Window Analysis

scholarly journals DEA WINDOW ANALYSIS FOR INDONESIAN ISLAMIC BANKS’ EFFICIENCY

2021 ◽  
Vol 7 (4) ◽  
Author(s):  
Aam Slamet Rusydiana ◽  
Aisyah As-Salafiyah
Keyword(s):  
Data Envelopment Analysis ◽  
Standard Deviation ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Long Distance ◽  
Window Analysis ◽  
Increasing Trend ◽  
Using Data ◽  
Dea Window Analysis

This study measures the efficiency of Islamic banks in Indonesia using Data Envelopment Analysis (DEA) window methods for 14 Indonesia’s Islamic banks covering the period spanning from 2011 to 2020.. The results show that the efficiency of Islamic banks   averages 80% and exhibits increasing trend over the period 2011-2020.  Based on stability measures, which are standard deviation (SD), Long Distance per Window (LDW), Long Distance per Period (LDP), and Long Distance per Year (LDY), we find the efficiency of PT Bank BRI Syariah (BSI) and PT Bank Syariah Mandiri (BSI) to be relatively stable.

scholarly journals Long-Term Economic Sustainability of Humanitarian Logistics—A Multi-Level and Time-Series Data Envelopment Analysis

2021 ◽  
Vol 18 (5) ◽  
pp. 2219
Author(s):  
Matthias Klumpp ◽  
Dominic Loske
Keyword(s):  
Data Envelopment Analysis ◽  
Time Series Data ◽  
Malmquist Index ◽  
Developed Countries ◽  
Efficiency Analysis ◽  
Humanitarian Logistics ◽  
Series Data ◽  
Data Envelopment ◽  
Least Developed Countries ◽  
Window Analysis

Although resources are scarce and outputs incorporate the potential to save human lives, efficiency measurement endeavors with data envelopment analysis (DEA) methods are not yet commonplace in the research and practice of non-government organizations (NGO) and states involved in humanitarian logistics. We present a boot-strapped DEA window analysis and Malmquist index application as a methodological state of the art for a multi-input and multi-output efficiency analysis and discuss specific adaptions to typical core challenges in humanitarian logistics. A characteristic feature of humanitarian operations is the fact that a multitude of organizations are involved on at least two levels, national and supra-national, as well as in two sectors, private NGO and government agencies. This is modeled and implemented in an international empirical analysis: First, a comprehensive dataset from the 34 least developed countries in Africa from 2002 to 2015 is applied for the first time in such a DEA Malmquist index efficiency analysis setting regarding the national state actor level. Second, an analysis of different sections in a Rohingya refugee camp in Bangladesh is analyzed based on a bootstrapped DEA with window analysis application for 2017, 2018, and 2019 quarter data regarding the private NGO level of operations in humanitarian logistics.

scholarly journals DEA Window Analysis for Measuring Port Efficiencies in Serbia

1970 ◽  
Vol 24 (1) ◽  
pp. 63-72 ◽  
Author(s):  
Danijela Pjevčević ◽  
Aleksandar Radonjić ◽  
Zlatko Hrle ◽  
Vladeta Čolić
Keyword(s):  
Data Envelopment ◽  
Window Analysis ◽  
Productive Activities ◽  
Port Efficiency ◽  
River Danube ◽  
Port Throughput ◽  
Dea Method ◽  
Dea Window Analysis ◽  
Over Time ◽  
Made In

The aim of the paper is to apply Data Envelopment Analysis (DEA) method in measuring and analyzing the efficiencies of ports on the river Danube. DEA window analysis is used to determine the efficiency of ports and to observe the possibility of changes in the port efficiency over time. A study is conducted to evaluate the efficiencies of ports on the territory of Serbia in order to identify the sources of inefficiencies and formulate proposals for improving the services of those ports and their operations through a four-year window analysis with port efficiency trends and average efficiencies. The progress is made in the measurement of port efficiency in relation to port productive activities - total area of warehouses, quay length, number of cranes and port throughput, for the Serbian river ports. Keywords: river ports, total area of warehouses, quay length, number of cranes, port throughput, port efficiency, DEA window analysis

scholarly journals Assessing the relative efficiency of commercial banks in the Republic of North Macedonia: DEA window analysis

2020 ◽  
Vol 11 (2) ◽  
pp. 217-227
Author(s):  
Violeta Cvetkoska ◽  
Katarina Fotova Cikovic
Keyword(s):  
Commercial Banks ◽  
Relative Efficiency ◽  
Banking Sector ◽  
Efficiency Score ◽  
Data Envelopment ◽  
Window Analysis ◽  
The Republic ◽  
Dea Window Analysis ◽  
Decision Making Units ◽  
Selection Of

The aim of this paper is to assess the relative efficiency of commercial banks in one developing country, i.e. the Republic of North Macedonia by using the data envelopment analysis (DEA) technique-window analysis. The selection of inputs and outputs plays a key role when applying DEA for assessing the efficiency of decision-making units (DMUs). In the conducted research two inputs and two outputs have been selected. The sample consists of 14 commercial banks and the period that is being observed is an eleven year span from 2007 to 2017. According to the average efficiency score for the whole observed period, the most efficient bank belongs to the group of large banks, which simultaneously shows the highest efficiency. The banking sector in the Republic of North Macedonia, as a whole, showed the highest efficiency in 2007, and the lowest efficiency in 2011.

scholarly journals Decomposition of efficiency using DEA window analysis

2018 ◽  
Vol 25 (6) ◽  
pp. 1681-1705 ◽  
Author(s):  
Fekri Ali Shawtari ◽  
Milad Abdelnabi Salem ◽  
Izzeldin Bakhit
Keyword(s):  
Influential Factors ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Content Type ◽  
Window Analysis ◽  
Conventional Banks ◽  
Dea Window Analysis ◽  
Conventional Counterpart ◽  
Conventional And Islamic Banks

Purpose The purpose of this paper is to examine empirically the efficiency types of Islamic and conventional banks. It seeks to show whether the efficiency level of conventional and Islamic banks significantly differs from each other. In addition, it investigates the influential factors on each type of efficiency. Design/methodology/approach The paper utilises the data envelopment analysis in its windows version to estimate the efficiency scores reflecting the time variance and compares between banking models. The paper uses pure technical efficiency (TE) and scale efficiency to achieve the objective of the study. In addition, the panel data technique is adopted to assess the determinants of the efficiency of the banks econometrically. Findings The findings of panel regression initially indicate that the pure TE is higher for conventional banks compared to Islamic banks. However, the Islamic banks are more scale efficient than their conventional counterpart. Macro and micro indicators have different impacts on the both types of efficiency. However, the unique factors that show consistent influence on the efficiency types were loans/finance, non-interest income/finance/liquidity and GDP. Furthermore, the determinants are shaped differently for Islamic and conventional banks when the banking model is controlled for. Originality/value This paper examines the efficiency types using a unique window analysis approach to examine the types of efficiency with a longitudinal set of data from 1996 to 2011.

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