scholarly journals An X-efficiency Analysis of Chinese Commercial Banks Based on Fuzzy DEA Model

2007 ◽  
Author(s):  
Shuangjie Li ◽  
Dongsheng Zhai
Keyword(s):  
Commercial Banks ◽  
Efficiency Analysis ◽  
Dea Model ◽  
Fuzzy Dea

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

Credit risk shocks and banking efficiency: a study based on a bootstrap-DEA model with nonperforming loans as bad output

2020 ◽  
Vol 48 (1) ◽  
pp. 1-19
Author(s):  
Renyu Li ◽  
Li Li ◽  
Peijiang Zou
Keyword(s):  
Credit Risk ◽  
Commercial Banks ◽  
Efficiency Score ◽  
Banking Efficiency ◽  
Content Type ◽  
Dea Model ◽  
Bad Output ◽  
Urban Rural ◽  
Dea Method ◽  
Bootstrap Dea

PurposeThis paper investigates the impact of credit risk shocks on the evolution of banking efficiency in China.Design/methodology/approachThis paper introduces credit risk as a bad output into a bootstrap data envelopment analysis (bootstrap-DEA) model.FindingsDuring a credit risk shock, the efficiency levels of both state-owned commercial banks and joint-stock commercial banks are significantly higher than those of urban/rural commercial banks, and the efficiency differences between these banks further increase during a period of economic slowdown. This paper also finds that the efficiencies of joint-stock commercial banks are the most sensitive to credit risk shocks; these banks are the first to be affected and the first to completely adjust. However, urban/rural commercial banks adjust very slowly.Originality/valueMost scholars still use the traditional DEA method to estimate China's banking efficiency. The bootstrap-DEA method is clearly able to obtain a more exact estimated efficiency score. In fact, in comparison with the bootstrap-DEA model, we found that the traditional DEA method overestimates China's banking efficiency, and this is an especially serious problem for those banks that have a high efficiency score.

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.

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