Location Optimization of Rapeseed and Soybean Cultivation Areas Considering Economic, Climatic and Social Criteria

2018 ◽  
Vol 9 (3) ◽  
pp. 53-65
Author(s):  
Reza Babazadeh ◽  
Mohammad Voria Yavarirad ◽  
Ehsan Momeni Bashusqeh
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Present Article ◽  
Principle Component Analysis ◽  
Data Envelopment ◽  
Dea Model ◽  
Location Optimization ◽  
Principle Component ◽  
Pca Method ◽  
Dea Method

This article describes how among different oilseeds, rapeseed and soybean contain considerable amounts of protein and oil and have a specific role in agriculture and supplying food. Optimizing the cultivation areas of rapeseed and soybean based on sustainability factors will improve their productivity, economic, environmental, and social objectives. The goal of the present article is to investigate the background for cultivation of these two types of seeds using a data envelopment analysis (DEA) method. Sustainable development criteria including economic, climatic and social criteria are considered in assessing the candidate locations for cultivating soybean and rapeseed by DEA model. The proposed method is applied in Iran. The Principle Component Analysis (PCA) method is used to verify and validate the results of DEA model. Results show that the DEA model can be used as a powerful tool to optimize the cultivation areas of soybean and rapeseed.

scholarly journals Environmental Efficiency Evaluation in the Top Asian Economies: An Application of DEA

Mathematics ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 889
Author(s):  
Chia-Nan Wang ◽  
Hoang-Phu Nguyen ◽  
Cheng-Wen Chang
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Environmental Efficiency ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Undesirable Output ◽  
Dea Model ◽  
Asian Economies ◽  
Dea Method ◽  
Bad Outputs

Sustainable development has become a global catchphrase in the recent development age. This leads to the growth of various methodologies in evaluating environmental efficiency, such as the Data Envelopment Analysis (DEA) method. The purpose of this study is to propose an extended DEA model, i.e., the undesirable output model, in measuring the relative eco-efficiency scores across nations. The study collected the data of inputs, namely bad outputs and good outputs of the top 20 Asian economies in the period of 2005–2019, and then estimated the environmental efficiency of each country and classified them. The results have shown that there are four nations having higher average environmental efficiency than others. Japan is a good example of sustainable development that simultaneously balances economic development and environmental protection. The study has also discussed possible solutions for improvement to the group of nations with low environmental efficiency. Contributing to applying a novelty extended DEA model, this work recommends a more precise model, taking the weight of outputs into account for further studies.

Mengukur Tingkat Efisiensi Bank Umum Syariah dengan Metode DEA dan Perbandingan dengan Rasio Keuangan (Studi Kasus: PT Bank Muamalat Indonesia dan PT Bank Mega Syariah)

2020 ◽  
Vol 1 (1) ◽  
pp. 25-48
Author(s):  
Joni Agusah Putra ◽  
Muhammad Doddy
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Financial Ratio ◽  
Dea Model ◽  
Constant Return ◽  
Dea Method ◽  
Measurement Efficiency ◽  
Production Approach

Penelitian ini dilakukan untuk mengukur tingkat efisiensi Bank Muamalat Indonesia (BMI) dan Bank Mega Syariah (BMS). Metode yang digunakan adalah data envelopment analysis (DEA) model constant return to scale (CRS) dan model variabel return to scale (VRS) dengan pendekatan aset dan produksi. Hasil DEA model CRS pendekatan aset dibadingkan dengan rasio ROA sedangkan hasil DEA model VRS pendekatan produksi dibandingkan dengan rasio BOPO.Hasil penelitian ini menunjukkan, pada pendekatan aset BMI cenderung tidak efisien baik dengan model CRS, VRS dan secara skala. Sementara pada pendekatan produksi BMI tidak efisien dengan model CRS tetapi efisien berdasarkan model VRS dan secara skala. Sedangkan BMS cenderung dalam kondisi yang efisien pada pendekatan aset dan produksi baik dengan model CRS, VRSmaupun secara skala selama periode penelitian. Penelitian ini juga menyimpulkan, pengukuran efisiensi dengan DEA menunjukkan hasil yang konsisten dengan rasio keuangan ROA dan BOPO. Sehingga tidak ada perbedaan antara tingkat efisiensi menggunakan metode DEA dengan tingkat efisiensi menggunakan rasio keuangn pada BMI dan BMS selama periode penelitian.Kata Kunci: Efisiensi BUS, DEA, Rasio KeuanganABSTRACTThis research had been done to measure efficiency level Bank Muamalat Indonesia (BMI) and Bank Mega Syariah (BMS). The method tools were analysis envelopment data (DEA) model constant return to scale (CRS) and models variable return to scale (VRS) through asset and production approach. Result DEA model of asset approach CSR was compared to ratio ROA whereas result DEA model of production approach was compared to ratio BOPO. This research indicated that approach asset BMI tended to inefficiency both model CRS, VRS and by scale. Temporary approaching by production BMI in efficiency with model CRS but efficiency based on model VRS and by scale. Whereas BMS tended to be in efficiency to asset and production approach both model CRS, VRS and by scale during period of research. This research was also to conclude measurement efficiency by using DEA showed consistent result with financial ratio ROA and BOPO. So there would not be difference between the level of efficiency by using DEA method with the level of efficiency by using financial ratio at BMI and BMS during period of research.Keywords: BUS Efisiensi, DEA, Financial Ratio

Design for Ease-of-Repair: Insights From Consumers’ Repair Experiences

2016 ◽  
Author(s):  
Jida Huang ◽  
Behzad Esmaeilian ◽  
Sara Behdad
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Product Design ◽  
Consumer Electronics ◽  
Data Envelopment ◽  
Design Domain ◽  
Or Efficiency ◽  
Response Options ◽  
Dea Method

With the increasing attention on the role of consumer behavior in sustainable development, consideration of consumer’s product repair and reuse behavior is becoming more and more important in the product design domain. In order to investigate the product ease-of-repair and its effect on future product purchase and recommendation decisions made by consumers, this paper studies the main reasons that consumers were not able to repair a product based on a survey data collected by a wiki-based website that offers repair manuals for consumer electronics. Two main questions have been asked in the survey: what is the last thing you personally fixed? And why did you not succeed in fixing it. The information of these questions and the available response options have been used to compared eleven types of electronics in terms of their ease-of-repair. A list of design features (e.g. openability, accessibility, standardization, and modularity) that may increase the repair adoption by individual consumers has been discussed. In addition, a Data Envelopment Analysis (DEA) method was introduced to compare different categories of products in terms of reparability efficiency. The findings on how repair experiences or efficiency of repair for different categories of devices influence consumers’ future purchase and recommendation decisions have been presented.

scholarly journals Research on Sustainable Development of Resource-Based Cities Based on the DEA Approach: A Case Study of Jiaozuo, China

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Li Li ◽  
Yalin Lei ◽  
Dongyang Pan ◽  
Chunyan Si
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Quantitative Evaluation ◽  
Future Development ◽  
Economic Transformation ◽  
Policy Implications ◽  
Data Envelopment ◽  
The Sustainable Development ◽  
Dea Model

Jiaozuo is a typical resource-based city, and its economic transformation has been an example of success in China. However, quantitative evaluation of the city’s development has scarcely been performed, and future development is not clear. Because of this, using the relevant data from 1999 to 2013, this paper uses the data envelopment analysis (DEA) model to evaluate development after the transformation of Jiaozuo with the aim of providing a basis for its future developing plan. The results show that DEA was effective in 2000, 2004, 2006, 2010, and 2012, was weakly effective in 1999, 2001, 2002, 2003, and 2013, and was ineffective in 2005, 2007, 2008, 2009, and 2011. By evaluating the development of Jiaozuo, this paper provides policy implications for Jiaozuo’s sustainable development, and it may serve as a reference for the sustainable development of China’s other resources-based cities.

Webinar Analisis Efisiensi Perusahaan Dengan DEA

2021 ◽  
Vol 1 (02) ◽  
pp. 80-87
Author(s):  
JMV Mulyadi
Keyword(s):  
Data Envelopment Analysis ◽  
Efficiency Analysis ◽  
Analysis Tool ◽  
Data Envelopment ◽  
Dea Model ◽  
Dea Method ◽  
A Company

Abstrak        Tujuan pelatihan ini adalah menjelaskan metode Data Envelopment Analyisis (DEA) sebagai alat analisis efisiensi perusahaan. Penjelasan mencakup pengertian, manfaat, mekanisme, formulasi model DEA dan penggunaan Software Banxia Frotier Analist dan MaxDEA. Pelatihan dilakukan dengan Webinar Nasional  yang dilaksanakan atas kerjasama Sekolah Pascasarjana Universitas Pancasila dengan Muhammadiyah Ranting Mampang Kota Depok. Hasilnya menunjukkan bahwa metode DEA sangat bermanfaat dan jika dimungkinkan waktunya ditambah dan diperdalam dengan contoh-contoh. Implikasi akademisnya peserta membuat tutorial youtube bagaimana mengoperasikan software Banxia Frontier Analist dan dapat membantu mahasiswa dalam menyusun tesis.  Kata Kunci: data envelopment analysis, efisiensi, banxia frontier analist,        maxdea.   Abstract        The purpose of this training is to explain the Data Envelopment Analysis (DEA) method as a company efficiency analysis tool. The explanation includes the meaning, benefits, mechanisms, formulation of the DEA model and the use of the Banxia Frotier Analist and MaxDEA Software. The training was carried out with a National Webinar which was held in collaboration with the Postgraduate School of Pancasila University and the Muhammadiyah Branch of Mampang Depok City. The results show that the DEA method is very useful and if possible the time is added and deepened with examples. The academic implication is that the participants make a youtube tutorial on how to operate the Banxia Frontier Analist software and can help students in preparing a thesis. Keywords: data envelopment analysis, efficiency, banxia frontier analist, maxdea.

scholarly journals Measuring the Efficiency of Polish Municipalities – Data Envelopment Analysis Approach

2019 ◽  
Vol 14 (2) ◽  
pp. 54-66
Author(s):  
Tomasz Skica ◽  
Małgorzata Leśniowska-Gontarz ◽  
Katarzyna Miszczyńska
Keyword(s):  
Data Envelopment Analysis ◽  
Research Study ◽  
Point Of View ◽  
Analysis Approach ◽  
Data Envelopment ◽  
Dea Model ◽  
Dea Method

Abstract The aim of the paper is to build a ranking of municipalities due to their level of efficiency from the development point of view. According to the aim, it is possible to find out which indicators are crucial for the efficiency of municipalities in terms of sustainability. The research study involved DEA (Data Envelopment Analysis) approach. Conducted research study covered 2044 Polish municipalities in the year 2016. The ranking of Polish municipalities was prepared with the use of the DEA model. The DEA method made it possible to set goals for inefficient municipalities, which should follow and regularly evaluate the progress in the implementation of their aims. Inefficient municipalities can improve their efficiency following the technological example of chosen benchmarks.

scholarly journals Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3915 ◽  
Author(s):  
Nelson Amowine ◽  
Zhiqiang Ma ◽  
Mingxing Li ◽  
Zhixiang Zhou ◽  
Benjamin Azembila Asunka ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Efficiency Improvement ◽  
Dea Model ◽  
Energy Efficiency Improvement ◽  
Improvement Strategies

In Africa, energy plays an important role in the processes of economic and sustainable development. However, inefficiency such as mismanagement of resources constrains productivity. Prior energy efficiency studies in Africa have failed to provide the paths through which energy efficiency improvement can be achieved. The current study aims to assess energy efficiency improvement among 25 selected countries in Africa. First, the dynamic slack-based measure (DSBM) data envelopment analysis (DEA) model is applied to gauge the efficiency measurement. Further, the Malmquist productivity index (MPI) is employed to investigate the energy efficiency improvement during 2006–2014. Empirically, the results from the dynamic slack-based measure (DSBM) model show that energy efficiency in Africa is generally low. Also, the findings from the MPI suggest there is no significant improvement in energy efficiency in Africa. Based on the estimated results, some energy efficiency improvement strategies are further proposed for sample countries in Africa.

scholarly journals Measuring national financial development: indexes and methods

2021 ◽  
pp. 152-160
Author(s):  
T. Ph.T. Duong
Keyword(s):  
Economic Growth ◽  
Data Envelopment Analysis ◽  
Financial Development ◽  
Data Envelopment ◽  
Development Index ◽  
Broad Concept ◽  
Pca Method ◽  
Dea Method ◽  
The Relationship ◽  
Financial Development Index

Financial development of a country is a broad concept and can be measured in different ways. The article presents the indicators of financial development applicable for the development of the Financial Development Index (FDI) of a particular country. Financial development index could be used to rank and compare the level of financial development among countries or to test the relationship between financial development and economic growth. The paper points out the advantages and limitations of several methods including standardized method, Principle Component Analysis (PCA) method, Data Envelopment Analysis (DEA) method. The author also suggests to use Data Envelopment Analysis as an updated and advanced method to construct Financial Development Index. It is expected that this method will strengthen the quantitative approach in the research of financial development and economic growth.

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