scholarly journals ANALISIS EFISIENSI PENGGUNAAN ALOKASI DANA DESA TERHADAP PEMBERDAYAAN EKONOMI MASYARAKAT KECAMATAN MATANGKULI KABUPATEN ACEH UTARA

2019 ◽  
Vol 2 (3) ◽  
pp. 117
Author(s):  
Adrikal Muna ◽  
Hijri Juliansyah
Keyword(s):  
Data Envelopment Analysis ◽  
Data Collection ◽  
Analytical Method ◽  
Quantitative Research ◽  
Primary Data ◽  
Economic Empowerment ◽  
Data Envelopment ◽  
Fund Allocation ◽  
Dea Method

This study aims to analyze the level of efficiency of the use of Village Fund Allocation for community economic empowerment in various villages in Matang Kuli District. This is quantitative research that uses primary data with data collection techniques using questionnaires. The analytical method used is the DEA method (Data envelopment analysis). The results showed that there were significant differences in efficiency between villages in Matangkuli District, namely CRS and VRS. The results of the CRS and VRS state that the Turquoise Mosque Village is more efficient than other villages as evidenced by the value of 1,000 (on the frontier line).

scholarly journals ANALISIS EFISIENSI KEUNTUNGAN USAHATANI PADI SAWAH DENGAN TEKNIK TANAM PINDAH DAN TEKNIK TANAM BENIH LANGSUNG DI KAMPUNG ALUE JANGAT KECAMATAN DARUL IHSAN KABUPATEN ACEH TIMUR

2020 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Aminah Aminah ◽  
Devi Andriyani
Keyword(s):  
Data Envelopment Analysis ◽  
Primary Data ◽  
Data Envelopment ◽  
Rice Farming ◽  
Profit Efficiency ◽  
Planting Time ◽  
Rice Farmers ◽  
Dea Method

This study aims to analyze the profit efficiency of rice farming using transplanting techniques and direct seed planting techniques in Alue Jangat, Darul Ihsan sub-district, East Aceh Regency. This study used primary data obtained directly from 5 rice farmers using transplanting techniques and 5 rice farmers using direct seed planting techniques in Alue Jangat, Darul Ihsan sub-district, East Aceh Regency during one planting period. The variables used are capital, labor, and planting time as inputs and the profits obtained by farmers as output. This study uses the Data Envelopment Analysis (DEA) method with the output-oriented Variable Return to Scale (VRS) approach. Rice farmers who use two planting techniques show that rice farmers obtain more efficient profit values by applying the TABELA technique compared to the TAPIN technique. There are 4 rice farmers who use direct seed planting techniques, and only 2 rice farmers using the transplanting technique obtain efficient scale value against the profits, while rice farmers using the TABELA technique show that 3 TAPIN rice farmers do not achieve an efficient value on the profits.

scholarly journals Analisis Efisiensi Pembuatan Tas Bordir Aceh(Studi Kasus di Kecamatan Muara Batu Kabupaten Aceh Utara)

2021 ◽  
Vol 4 (1) ◽  
pp. 23
Author(s):  
Nova Yani ◽  
Hijri Juliansyah
Keyword(s):  
Data Envelopment Analysis ◽  
Primary Data ◽  
Data Envelopment ◽  
Constant Return ◽  
Business Units ◽  
Dea Efficiency ◽  
Dea Method

This study aims to analyze and find out how much the level of efficiency in making Aceh embroidery bags (Case Study in Muara Batu District, North Aceh Regency). The data used in this study are primary data obtained from 20 Aceh embroidery bag business units. This research uses Data Envelopment Analysis (DEA) method. From the Constant Return to Scale (CRS - Output Oriented), results showed that only four business units were efficient while sixteen business units were inefficient. Through the results of Variable Return to Scale (VRS - output oriented), there were seven efficient business units, while thirteen more business units were inefficient.Keywords:Data Envelopment Analysis (DEA), Efficiency, CRS, VRS, Output Oriented

scholarly journals Evaluasi Efisiensi Sektor Ekonomi Kreatif pada Wirausaha Muda di Sekolah Tinggi Ilmu Ekonomi

2021 ◽  
Vol 6 (2) ◽  
pp. 20
Author(s):  
Anggraita Primatami ◽  
Yuridistya Primadhita
Keyword(s):  
Data Envelopment Analysis ◽  
Raw Materials ◽  
Production Costs ◽  
Primary Data ◽  
Creative Economy ◽  
Data Envelopment ◽  
Economic Sector ◽  
Total Cost ◽  
Output Factors ◽  
Dea Method

The creative economy is an economic sector that results from the development of creativity and ideas. Young entrepreneurs contribute to the improvement of the creative economy sector because they are considered easier to adapt technology, respond to market changes, and think creatively and innovatively. This study aims to evaluate the efficiency of the creative economy sector in entrepreneur students of the College of Economics (STIE). This study used the primary data of 50 entrepreneur students. The research was conducted using the Data Envelopment Analysis (DEA) method by analyzing the input to the output factors. The results showed that 7 out of 50 businesses run by STIE students reached 100% efficiency in January and February. Meanwhile, in March there were 9 businesses that achieved 100% efficiency. As many as 41 businesses have never reached 100% efficiency during January to March 2020. Efficiency improvements for inefficient businesses are carried out by referring to businesses that have been efficient by reducing production costs which include reducing the total cost of labor or raw materials.

scholarly journals Selecting Suitable, Green Port Crane Equipment for International Commercial Ports

2021 ◽  
Vol 13 (12) ◽  
pp. 6801
Author(s):  
Guo-Ya Gan ◽  
Hsuan-Shih Lee ◽  
Yu-Jwo Tao ◽  
Chang-Shu Tu
Keyword(s):  
Data Envelopment Analysis ◽  
Environmental Protection ◽  
Green Energy ◽  
Programming Approach ◽  
Data Envelopment ◽  
Container Handling ◽  
Dea Method ◽  
Green Port ◽  
Large Container ◽  
Gantry Cranes

Responding to the increasing global need for environmental protection, a green port balances economic vibrancy with environmental protection. However, because exhaust emissions (e.g., CO2 or sulfide) are difficult to monitor around ports, data on such emissions are often incomplete, which hinders research on this topic. The present study aimed to fill this gap in this topic. To remedy this problem, this study formulated a new data envelopment analysis (DEA) method for collecting CO2 emissions data at their source. This method was applied to collect real-world operating data from a large container-handling company in Taiwan. Specifically, we provide a real example using a novel green energy index to account for undesirable outputs. Our main objective was to formulate two methods that combine: (1) data envelopment analysis based on a modified slack-based measure, and (2) a multi-choice goal programming approach. The contributions of this paper included the finding that rubber-tired gantry cranes are the greenest and should be used in ports. Finally, our findings aid port managers in selecting port equipment that provides the best balance between environmental protection and profitability.

scholarly journals Benchmarking—A Way of Finding Risk Factors in Business Performance

2021 ◽  
Vol 14 (5) ◽  
pp. 221
Author(s):  
Jarmila Horváthová ◽  
Martina Mokrišová ◽  
Mária Vrábliková
Keyword(s):  
Risk Factors ◽  
Data Envelopment Analysis ◽  
Heat Supply ◽  
Business Performance ◽  
Data Envelopment ◽  
Performance Factors ◽  
Best Value ◽  
Target Values ◽  
Dea Method ◽  
Comparison Of The Results

The purpose of this study was to emphasize that the Data Envelopment Analysis (DEA) method is an important benchmarking tool which provides necessary information for improving business performance. To fulfil the abovementioned goal, we used a sample of 48 Slovak companies involved in the field of heat supply. As their position in the economic and social environment of the country is essential, considerable attention should be paid to improving their performance. In addition to the DEA method, we applied the Best Value Method (BVM). We found that DEA is a highly important benchmarking tool, as it provides benchmarks for units that have problems with performance and helps us to reveal risk performance factors. The DEA method also allows us to determine target values of indicators. The originality of this paper is in its comparison of the results of the BVM and the DEA methods.

scholarly journals The Efficiency of Non-Bank Financial Intermediaries: Empirical Evidence from Malaysia

2008 ◽  
Author(s):  
Fadzlan Sufian
Keyword(s):  
Risk Factors ◽  
Data Envelopment Analysis ◽  
Empirical Evidence ◽  
Financial Institutions ◽  
Economies Of Scale ◽  
Financial Intermediaries ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Parametric Data ◽  
Dea Method

This paper investigates the performance of Malaysian non-bank financial institutions during the period of 2000-2004. Several efficiency estimates of individual NBFIs are evaluated using the non-parametric Data Envelopment Analysis (DEA) method. The findings suggest that during the period of study, scale inefficiency outweighs pure technical inefficiency in the Malaysian NBFI sector. We find that the merchant banks have exhibited a higher, technical efficiency compared to their peers. The empirical findings suggest that scale efficiency tends to be more sensitive to the exclusion of risk factors, implying that potential economies of scale may be overestimated when risk factors are excluded.  

scholarly journals Bad Debt and Cost Efficiency in Vietnamese Commercial Banks

2015 ◽  
Vol 22 (1) ◽  
pp. 125-140
Author(s):  
Vinh Nguyen Thi Hong
Keyword(s):  
Data Envelopment Analysis ◽  
Cost Efficiency ◽  
Commercial Banks ◽  
Direct Relationship ◽  
Data Envelopment ◽  
Dea Method ◽  
Two Stages ◽  
The Cost ◽  
The Relationship ◽  
Bad Debt

The paper aims at exploring the relationship between bad debt and cost efficiency in Vietnamese commercial banks in the years 2007 – 2013. The research includes two stages: (i) Measuring the cost efficiency of banks by non-parameter Data Envelopment Analysis (DEA) method suggested by Coelli (2005); and (ii) Applying the Tobit model to identify two-way effects of bad debt and bank cost efficiency. The results show that the cost efficiency in Vietnamese commercial banks is 52.6% and there exists a direct relationship between bad debt and cost efficiency.

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.

scholarly journals TOTAL FACTOR OF PRODUCTIVITY AND ITS COMPONENTS: EVIDENCE FROM CEMENT - AND ENERGY SECTORS OF PAKISTAN

2018 ◽  
Vol 9 (1) ◽  
pp. 55 ◽  
Author(s):  
Razzi Abbas Jafri ◽  
Shahbaz Khan ◽  
Muhammad Haroon Shah ◽  
Nida Baig
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Change ◽  
Annual Reports ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Financial Firms ◽  
Tfp Growth ◽  
Time Period ◽  
Dea Method

This study employs “Data Envelopment Analysis (DEA)” method to calculate the “Total Factor Productivity (TFP)” growth and its components of 19 non-financial firms from Cement and Energy sectors of Pakistan listed on ISE-100 Index during the time period 20052011. The research focuses on to identify the factors like, technical change and technical efficiency change tends to influence the TFP of cement -and energy sectors of Pakistan. We use hand collected data from the annual reports of these non-financial firms included in our sample. Results show that cement sector has an overall positive TFP growth of 9.7%, and energy sector has an overall TFP growth of 1.5% during the study period. The study may assist us to recognize the extent to which these components can affect the TFP of a sector, and will further help us to explore new ways to boost up the productivity of these sectors which in turn may be beneficial to move country towards a sustainable path.

scholarly journals Measurement of Environmental Efficiency in the Countries of the European Union with the Enhanced Data Envelopment Analysis Method (DEA) during the Period 2005–2012

Proceedings ◽  
2020 ◽  
Vol 38 (1) ◽  
pp. 20
Author(s):  
Manuel Jesús Hermoso-Orzáez ◽  
Miriam García-Alguacil ◽  
Julio Terrados-Cepeda ◽  
Paulo Brito
Keyword(s):  
European Union ◽  
Data Envelopment Analysis ◽  
Geographical Area ◽  
Environmental Policies ◽  
Environmental Efficiency ◽  
Data Envelopment ◽  
The European Union ◽  
Analysis Method ◽  
New Variant ◽  
Dea Method

In recent years there has been growing interest in measuring the environmental efficiency of the different territories, countries and/or nations. This has led to the development of different methods applied to the evaluation of environmental efficiency such as the Data Envelopment Analysis (DEA) method. This method, supported by different studies, allows measuring relative environmental efficiency and is consolidated as a very reliable method to measure the effectiveness of environmental policies in a specific geographical area. The objective of our study is the calculation of the environmental efficiency of the 28 member countries of the European Union (EU) through the DEA method. We will collect the data regarding the last years in which there are reliable comparative data in all. We will study in reference to them, the results of the environmental policies applied in the different countries, in order to make comparisons between countries and classify them according to their environmental efficiency. Using this, two variants of calculation within the DEA method to compare in a contrasted way the results of environmental efficiency for the 28 countries of the European Union (EU) analyzed and propose possible solutions for improvement. Contributing in this work as main novelty the application of a new variant of the DEA Method, which we will call Improved Analysis Method (MAN) and that aims to agglutinate and assess more objectively, the results of the two DEA methods applied. The results show that there are 14 of the 28 countries that have a high relative environmental efficiency. However, we also find countries with very low environmental efficiency that should improve in the coming years. Coinciding precisely in this last group with countries recently admitted to the EU and where environmental policies have not yet been applied effectively and with positive results.

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