scholarly journals A Study on the Efficiency Analysis of Certified Integrated-Logistics Company Using DEA Model

2013 ◽  
Vol 9 (1) ◽  
pp. 101-131
Author(s):  
김성화
Keyword(s):  
Efficiency Analysis ◽  
Dea Model ◽  
Logistics Company ◽  
Integrated Logistics

scholarly journals Accounting for rainfall and the length of growing season in technical efficiency analysis

2018 ◽  
Vol 20 (4) ◽  
pp. 2583-2608
Author(s):  
Yiorgos Gadanakis ◽  
Francisco José Areal
Keyword(s):  
Technical Efficiency ◽  
Physical Environment ◽  
Farming Systems ◽  
Growing Season ◽  
Efficiency Analysis ◽  
Performance Measurements ◽  
East Anglia ◽  
Dea Model ◽  
Efficiency Ranking ◽  
Business Survey

Abstract The physical environment of farming systems is rarely considered when conducting farm level efficiency analysis, which is likely to lead to bias of performance measurements based on benchmarking methods such as Data Envelopment Analysis (DEA). We incorporate variations of the physical environment (rainfall and length of growing season) through the specifications of the linear programming in DEA to investigate performance measurement bias. The derived technical efficiency estimates are obtained using a sub-vector DEA which ensures farms are compared in a homogenous environment (i.e. accounting for differences in rainfall levels amongst distinct farm units). We use the Farm Business Survey to analyse a representative sample of 245 cereal farms in the East Anglia region between 2009 and 2010. Efficiency rankings obtained from a standard DEA model and a non-discretionary DEA model that incorporates the variations in the physical environment. We show that incorporating rainfall and the length of the growing season as non-discretionary inputs into the production function had significantly altered the farm efficiency ranking between the two models. Hence, to improve extension services to farmers and to reduce biased estimates of farm technical efficiency, variations in environmental conditions need to be integral to the analysis of efficiency.

An output-constrained DEA model as applied to efficiency analysis of football clubs

2015 ◽  
Vol 28 (2) ◽  
pp. 561-570 ◽  
Author(s):  
Gongbing Bi ◽  
Wen Song ◽  
Malin Song
Keyword(s):  
Efficiency Analysis ◽  
Dea Model ◽  
Football Clubs

Application of the Non-parametric DEA method to Analyze the Efficiency of selected services provided by municipalities, example of public libraries

2020 ◽  
Author(s):  
Marek JETMAR
Keyword(s):  
Czech Republic ◽  
Basic Education ◽  
Public Libraries ◽  
Optimization Problems ◽  
Efficiency Analysis ◽  
The Czech Republic ◽  
Dea Model ◽  
Local Public Services ◽  
Dea Method ◽  
Modeling Data

The paper deals with the possibility of applying the DEA method to measure the efficiency of local public services provided by municipalities and towns in the Czech Republic. It is testing and modeling data on the effectiveness of local libraries, which for 100 years had to provide basic education and disseminate education in municipalities. There are many models in the literature dealing with various problems of efficiency analysis. A particularly suitable and elegant model is the DEA model based on Chebyshev distance. This model can be formulated with both the assumption of constant range returns and the assumption of variable range returns. Similar to the classical DEA model, this method can be formulated as a set of optimization problems looking for weights for given inputs and outputs.

Efficiency Analysis of Korean Traditional Markets Using a DEA Model

2017 ◽  
Vol 27 (6) ◽  
pp. 15-25
Author(s):  
ChulSung Lee ◽  
◽  
JangHyun Kim ◽  
Young Ki Kim ◽  
Seung-Hee Kim ◽  
...  
Keyword(s):  
Efficiency Analysis ◽  
Dea Model ◽  
Traditional Markets

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.

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