scholarly journals EFFICIENCY ANALYSIS OF AIRPORTS IN TURKEY CONSIDERING ENVIRONMENTAL EFFECTS

2018 ◽  
Vol 2 (1) ◽  
pp. 65 ◽  
Author(s):  
Berna H. Ulutas
Keyword(s):  
Efficiency Analysis ◽  
Study Data ◽  
Data Envelopment ◽  
Undesirable Output ◽  
Noise Levels ◽  
Gas Emission ◽  
Emission Data ◽  
Dea Model ◽  
Definition Of ◽  
First Time

Aim: This paper aims to attract attention to the “green airport” term that is basically related with environmental legislations.Design / Research methods: A Data Envelopment Analysis (DEA) model is introduced to assess the efficiency of 22 airports in Turkey with the definition of undesirable output as emission values.Conclusions / findings: Results illustrate that only two airports are efficient based on the considered outputs and undesirable output.Originality / value of the article: Up-to-best knowledge, green gas emission data of airports in Turkey are considered in a DEA model for the first time. To minimize the undesirable output, it is considered as a desirable input in the model. Results are expected to support official authorities during decision making.Limitations of the study: Data for noise levels and the exposed area and/or number of exposed people and buildings were not available for the airports in concern.

scholarly journals Eco-Efficiency Analysis for the Russian Cities along the Northern Sea Route: A Data Envelopment Analysis Approach Using an Epsilon-Based Measure Model

2021 ◽  
Vol 18 (11) ◽  
pp. 6097
Author(s):  
Shuaiyu Yao ◽  
Mengmeng Chen ◽  
Dmitri Muravev ◽  
Wendi Ouyang
Keyword(s):  
Data Envelopment Analysis ◽  
Public Investment ◽  
Ghg Emissions ◽  
Real Data ◽  
Efficiency Analysis ◽  
Measure Data ◽  
Data Envelopment ◽  
Dea Model ◽  
Northern Sea Route ◽  
Regional Product

In this paper, an eco-efficiency analysis is conducted using the epsilon-based measure data envelopment analysis (EBM-DEA) model for Russian cities along the Northern Sea Route (NSR). The EBM-DEA model includes five input variables: population, capital, public investment, water supply, and energy supply and four output variables: gross regional product (GRP), greenhouse gas (GHG) emissions, solid waste, and water pollution. The pattern of eco-efficiency of 28 Russian cities along the NSR is empirically analyzed based on the associated real data across the years from 2010 to 2019. The empirical results obtained from the analysis show that St. Petersburg, Provideniya, Nadym, N. Urengoy, and Noyabrsk are eco-efficient throughout the 10 years. The results also indicate that the cities along the central section of the NSR are generally more eco-efficient than those along other sections, and the cities with higher level of GRPs per capita have relatively higher eco-efficiency with a few exceptions. The study provides deeper insights into the causes of disparity in eco-efficiency, and gives further implications on eco-efficiency improvement strategies. The contributions of this study lie in the fact that new variables are taken into account and new modeling techniques are employed for the assessment of the eco-efficiency of the Russian 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 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.

scholarly journals A novel DEA model for hospital performance evaluation based on the measurement of efficiency, effectiveness, and productivity

2020 ◽  
Vol 12 (1) ◽  
pp. 7-19
Author(s):  
Mohammad Ghahremanloo ◽  
Aliakbar Hasani ◽  
Maghsoud Amiri ◽  
Mohammad Hashemi-Tabatabaei ◽  
Mehdi Keshavarz-Ghorabaee ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Health Workers ◽  
Hospital Performance ◽  
Study Data ◽  
Data Envelopment ◽  
Programming Technique ◽  
Dea Model ◽  
Efficiency And Effectiveness ◽  
Inputs And Outputs

AbstractHospitals are the most important and costly component of the healthcare system. Therefore, hospital performance evaluation (HPE) is an important issue for the managers of these centres. This paper presents a new approach for HPE that can be used to calculate the efficiency, effectiveness, and productivity of hospitals simultaneously. Efficiency refers to the ratio of inputs and outputs, effectiveness refers to the extent to which outputs align with predetermined goals, and productivity refers to the sum of both efficiency and effectiveness. To this end, a Data Envelopment Analysis (DEA) model is developed to simultaneously measure the efficiency, effectiveness, and productivity (DEA-EEP) of hospitals. DEA is a linear programming technique that in its traditional form, calculates the performance of similar decision-making units (DMUs) that have both inputs and outputs. In this study, the inputs are the number of health workers, the number of other staff, and the number of patient beds; while the outputs are the bed occupancy rate and the bed turnover rate. A target value is set for each output to measure the effectiveness of hospitals. The advantage of the developed model is the ability to provide a solution for non-productive units so that they can improve their performance by changing their inputs and outputs. In the case study, data of 11 hospitals in Tehran were evaluated for a 3-year period. Based on the results, some hospitals experienced an upward trend in the period, but the efficiency, effectiveness, and productivity scores of most hospitals fluctuated and did not have a growing trend. This indicates that although most hospitals sought to improve the quality of their services, they needed to take more serious steps.

scholarly journals New Challenges for Biobanks: Accreditation to the New ISO 20387:2018 Standard Specific for Biobanks

BioTech ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 13
Author(s):  
Pasquale De Blasio ◽  
Ida Biunno
Keyword(s):  
Performance Monitoring ◽  
Quality Management System ◽  
Internal Audit ◽  
Accreditation Body ◽  
Accreditation Process ◽  
Testing Facility ◽  
Collection Data ◽  
Definition Of ◽  
First Time ◽  
Operational Aspects

Background: The emergence of “multi-omics” and “multi-parametric” types of analysis based on a high number of biospecimens enforces the use of a great number of high-quality “Biological Materials and Associated Data” (BMaD). To meet the demands of biomedical research, several Biological Resource Centers (BRCs) or Biobanks world-wide have implemented a specific Quality Management System (QMS) certified ISO 9001:2015 or accredited by CAP9 ISO 20387:2018. For the first time, ISO, with the support of several Biobanking experts, issued the ISO 20387:2018 which is the first ISO norm specific for Biobanks. The fundamental difference with present certification/accreditation standards is that the ISO 20387:2018 focuses not only on the operational aspects of the Biobank, but also on the “competence of the Biobank to carry our specific Biobanking tasks”. Methods: The accreditation process for ISO 20387:2018 required the definition of: (1) objectives, goals and organizational structure of the Biobank, including procedures for governance, confidentiality and impartiality policies; (2) standard operating procedures (SOPs) of all activities performed, including acquisition, analysis, collection, data management, distribution, preparation, preservation, testing facility and equipment maintenance, calibration, and monitoring; (3) procedures for control of documents and records, the identification of risks and opportunities, improvements, corrective actions, nonconforming records and evaluation of external providers (4) an internal audit and management reviews, verification of QMS performance, monitoring of quality objectives and personnel qualification and competency in carrying out specific Biobanking tasks. Results: The accreditation process is performed by an independent authorized organization which certifies that all processes are performed according to the QMS, and that the infrastructure is engineered and managed according to the GDP and/or GMP guidelines. Conclusion: Accreditation is given by an accreditation body, which recognizes formally that the Biobank is “competent to carry out specific Biobanking tasks”.

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