scholarly journals Analysis of the Efficiency Level of Sharia Rural Financing Bank (SRFB ) Using Data Envelopment Analysis (DEA)

2020 ◽  
Vol 3 (1) ◽  
pp. 68-85
Author(s):  
Leyla Mariana ◽  
Harun Harun
Keyword(s):  
Data Envelopment Analysis ◽  
Annual Report ◽  
The Other ◽  
Data Envelopment ◽  
Operational Cost ◽  
Input Output ◽  
Dea Method ◽  
Using Data

This research aims to analyze the efficiency level of Sharia Rural  Financing Bank (SRFB) in Surakarta.  This study used data from four Rural Sharia Banks taken from www.ojk.co.id, which published its annual report. This study conducted input-output variables with the Data Envelopment Analysis (DEA) method as a tool of analysis. The results of the research showed that the SRFB Dana Amanah is indicated as efficient during the 2017 period. The other three are indicated as inefficient in the last quarter. The inefficiency source came from its operational cost and its incapability to get higher output.

scholarly journals Dimension-Specific Efficiency Measurement Using Data Envelopment Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Hongjun Zhang ◽  
Youliang Zhang ◽  
Rui Zhang
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
The Other ◽  
Data Envelopment ◽  
Input Output ◽  
Single Dimension ◽  
Measuring Efficiency ◽  
Using Data ◽  
The City ◽  
Decision Making Units

Data envelopment analysis (DEA) is a powerful tool for evaluating and improving the performance of a set of decision-making units (DMUs). Empirically, there are usually many DMUs exhibiting “efficient” status in multi-input multioutput situations. However, it is not appropriate to assert that all efficient DMUs have equivalent performances. Actually, a DMU can be evaluated to be efficient as long as it performs best in a single dimension. This paper argues that an efficient DMU of a particular input-output proportion has its own specialty and may also perform poorly in some dimensions. Two DEA-based approaches are proposed to measure the dimension-specific efficiency of DMUs. One is measuring efficiency in multiplier-form by further processing the original multiplier DEA model. The other is calculating efficiency in envelopment-form by comparing with an ideal DMU. The proposed approaches are applied to 26 supermarkets in the city of Nanjing, China, which have provided new insights on efficiency for the managers.

The Differences Analysis of Input-Output Efficiency of Regional R&D Activities Based on DEA

2014 ◽  
Vol 599-601 ◽  
pp. 1764-1767
Author(s):  
Yu Han Liu ◽  
Yong Bo Lv ◽  
Yuan Ren
Keyword(s):  
Data Envelopment Analysis ◽  
Technological Innovation ◽  
Technology Development ◽  
Science And Technology ◽  
Data Envelopment ◽  
Input Output ◽  
Regional Investment ◽  
Output Efficiency ◽  
Dea Method ◽  
Using Data

Research and development activities plays an important role in regional science and technology development and technological innovation. Regional R&D input-output efficiency is a measure of the effectiveness of regional investment in science and technology activities. This paper selects four indicators to make evaluation of the input-output efficiency of R&D activities and analysis of differences between regions by using data envelopment analysis (DEA method).

scholarly journals Mengukur Tingkat Efisiensi Bank Pembiayaan Rakyat Syari’ah dengan Menggunakan Data Envelopment Analysis (DEA)

2017 ◽  
Vol 12 (2) ◽  
pp. 113-120
Author(s):  
Arif Ramadhan ◽  
Didit Purnomo ◽  
Muhammad Muhtarom ◽  
Chuzaimah Chuzaimah
Keyword(s):  
Data Envelopment Analysis ◽  
Secondary Data ◽  
Fourth Quarter ◽  
Data Envelopment ◽  
Input Output ◽  
Output Variable ◽  
Bank Financing ◽  
Dea Method ◽  
Using Data

The purpose of this study is to analyze the efficiency level of Shari'ah People's Financing Bank (BPRS) in Surakarta City. The data used in this study is secondary data taken from www.ojk.co.id published by each Sharia Bank Financing (BPRS). This research uses input-output variable with Data Evelopment Analysis (DEA) method. The result of the research shows that in Quarter I - Quarter IV there is only one Sharia Bank Financing (BPRS) that experienced inefficiency. Based on the calculation using Data Evelopment Analysis (DEA), in Quarter II - Quarter IV BPRS Central Syari'ah Utama experienced inefficiency, whereas in Quarter I - IV IV BPRS Dana Amanah, BPRS Dana Mulia, BPRS Harta Insan Karimah showed efficiency. The period 2016 Quarter I - fourth quarter IV of Syari'ah People Financing Bank (BPRS) that is BPRS Dana Amanah, BPRS Dana Mulia, BPRS Harta Insan Karimah already 1,000 or experienced efficiency continue to take care during that quarter

scholarly journals Efisiensi Kinerja BAZNAS Bogor Dan Sukabumi: Pendekatan Data Envelopment Analysis

2019 ◽  
Vol 5 (2) ◽  
pp. 105-120
Author(s):  
Siti Nurhasanah ◽  
Deni Lubis
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Operational Cost ◽  
Know How ◽  
Operational Costs ◽  
Input And Output ◽  
Dea Method ◽  
Using Data ◽  
Percent Efficiency ◽  
Production Approach

This study aims to know how performance efficiency BAZNAS in Bogor city, Bogor district, and Sukabumi district, and recommends things need BAZNAS have not been efficient can reach 100 percent efficiency level. This research using Data Envelopment Analysis (DEA) method, with intermediation approach and production approach. The input and output intermediation approach are collected funds, operational costs, and channeled funds. The input and output of production approach are operational costs, socialization costs, collected funds, and channeled funds. The result of this study show that with intermediate approach BAZNAS has descresed efficiency. Calculation of production approach indicates that BAZNAS has increased efficiency value. Badan Amil Zakat Nasional Sukabumi district has obtained efficiency 100 percent in the both approaches. Badan Amil Zakat Nasional have not been efficient can diminished operational cost and socialization cost, then increased collected funds and channeled funds.

EVALUATING THE EFFICIENCY OF VIETNAM BANKS USING DATA ENVELOPMENT ANALYSIS

2021 ◽  
pp. 2150010
Author(s):  
DO THI THANH NHAN ◽  
KIM-HUNG PHO ◽  
DANG THI VAN ANH ◽  
MICHAEL MCALEER
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Data Envelopment ◽  
Resource Analysis ◽  
Scientific Disciplines ◽  
Business Efficiency ◽  
Dea Method ◽  
Using Data

Efficiency is a topic of great interest because its applications are diverse and rich. It is applied greatly in all scientific disciplines, especially accounting for a very large proportion in economics, finance and accounting. The main objective in this paper is to analyze the effectiveness of banks in Vietnam. In order to investigate this issue, there are several implements to examine bank effectiveness where the data envelopment analysis (DEA) method is widely used. This paper presents details of the DEA method. Using the data collected from banks in Vietnam for the period 2014–2017, the approach is executed to investigate issues of technical efficiency, resource analysis and business efficiency of banks in Vietnam.

Efficiency of Indigenous and Intercultural Higher Education and Research Programs

2021 ◽  
Vol 2 (2) ◽  
pp. 29-44
Author(s):  
José G. Vargas-Hernández ◽  
Ernesto Guerra-García
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Educational Programs ◽  
Intermediate Level ◽  
The Other ◽  
Total Efficiency ◽  
Data Envelopment ◽  
Research Programs ◽  
Government Financing ◽  
Using Data

A study was carried out using data envelopment analysis, in which variables (inputs and outputs) of a group of 13 public HEIs from the northwest of the country were compared with data from the 2018-2019 cycle to characterize the UAIM. It was found that 1) when considering government financing and generated own resources, UAIM has an efficiency of 39%; 2) when considering ordinary financing and tuition, the institution is 100% efficient; 3) in relation to the total number of teachers and enrollment has an efficiency of 39%, it has the capacity to serve up to 14,325 students; 4) it has an efficiency of 26% in relation to the total and accredited educational programs; and 5) the total efficiency is 51% and represents an intermediate level with respect to the other HEIs, which on average is 56%.

scholarly journals EFFICIENCYMEASUREMENT OF ZAKAT INSTITUTION PROGRAM: CASE STUDY DOMPET DHUAFA INDONESIA

2016 ◽  
Vol 1 (1) ◽  
pp. 28
Author(s):  
Aam Slamet Rusydiana ◽  
Hasna Maliha ◽  
Salman Al-Parisi
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Input Output ◽  
Decision Making Unit ◽  
Dea Method ◽  
Potential Improvement ◽  
Main Factor

Although social based, Zakat Institutions (OPZ) need to uphold professionalism, transparency and accountabilityin its management. Most recently, Zakat Core Principles is known as the measurement of zakat fundmanagement. This study would try to measure the efficiency of DompetDhuafa�s program as Decision Making Unit (DMU) in the level of efficiencyusing Data Envelopment Analysis (DEA) method. And also the research would look at the possibility of potential improvement from inefficient DompetDhuafa�s programs,input-output contribution and the reference contribution of the DMU.The results show that there are 6 DMU that efficient (100%) and inefficient as much as 18 DMU. The most inefficient program is wakaf fund (2012). In general, the main factor inefficiency ofDompetDhuafa program from 2010 to 2013 due to the distribution fund of DompetDhuafa program such as zakat, wakaf, humanity etc to ashnaf which is still less optimal.The distribution fund also has to increase up to 75.38%, then it is able to resolve the problem of poverty.

scholarly journals Selection and Analysis of Input-Output Variables using Data Envelopment Analysis of Decision Making Units - Indian Private Sector Banks

2021 ◽  
Vol 10 (5) ◽  
pp. 119-127
Author(s):  
B. Vittal ◽  
Raju Nellutla ◽  
M. Krishna Reddy
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Banking System ◽  
Efficiency Score ◽  
Data Envelopment ◽  
Input Output ◽  
Key Factor ◽  
And Performance ◽  
Using Data ◽  
Decision Making Units

In banking system the evaluation of productivity and performance is the key factor among the fundamental concepts in management. For identify the potential performance of a bank efficiency is the parameter to evaluate effective banking system. To measure the efficiency of a bank selection of appropriate input-output variables is one of the most vital issues. The suitable identification of input-output variables helps to create and identify model in order to evaluate the efficiency and analysis. The Data Envelopment Analysis (DEA) is a mathematical approach used to measure the efficiency of identified Decision Making Units (DMUs). The DEA is a methodology for evaluating the relative efficiency of peer decision making units of identified input/output variables for the financial year 2018-19. In this study the basic DEA CCR, BCC models used for measure the efficiency of DMUs. In addition to these models for minimize the input excess and output shortfall Slack Based Measure (SBM) efficiency used. The SBM is a scalar measure which directly deals with slacks of input, output variables which help in obtain improved efficiency score compare with previous model. The result from the analysis is

ESTIMATING THE EFFICIENCY OF PAHANG RUBBER SMALLHOLDERS USING DATA ENVELOPMENT ANALYSIS APPROACH

2016 ◽  
Vol 78 (12-3) ◽  
Author(s):  
Na’imah Ali ◽  
Noor Asiah Ramli ◽  
Faridah Zulkipli
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Input Output ◽  
Monthly Income ◽  
Constant Return ◽  
Optimal Input ◽  
Scale Size ◽  
Using Data

RISDA has targeted for the income of each smallholder to be at least RM2500 per month by the end of 2015. However, approximately almost 90% of the smallholders’ monthly income is still below the target. Hence, in order to observe if this target is achievable, a study was conducted to evaluate the efficiency level of producing rubber among 95 rubber smallholders in Pahang. In addition, the study also investigated if there was any opportunity for increment of production among the rubber smallholders. Therefore, the Data Envelopment Analysis (DEA) model, under the assumption of Variable Return to Scale (VRS) and Constant Return to Scale (CRS), was used to analyse the scale and the technical efficiency of the smallholders. Scale Efficiency was measured in order to estimate the return to scale of the smallholders. As a result, the study found that the average Overall Technical Efficiency (OTE) and Pure Technical Efficiency (PTE) scores of the smallholders were 43.47% and 43.78%, respectively. Thus, the majority of the smallholders were not technically efficient in producing rubber. Furthermore, based on the return to scale estimated, 41% of the smallholders were operating under the Increase Return to Scale (IRS), which implied that the smallholders had a sub-optimal scale size. The results obtained had been useful as the optimal input-output for the efficient rubber yield can be determined and may help RISDA, as well as agricultural planners, to devise a strategy in order to increase the productivity of rubber smallholders in Malaysia.   

Sign in / Sign up

Export Citation Format

Share Document