An examination of the cost efficiency of banks in Taiwan and China using the metafrontier cost function

2013 ◽  
Vol 40 (3) ◽  
pp. 387-406 ◽  
Author(s):  
Mei-Ying Huang ◽  
Tsu-Tan Fu
Keyword(s):  
Cost Function ◽  
Cost Efficiency ◽  
The Cost

scholarly journals A Re-Examination of Multistage Economies in Hog Farming

2017 ◽  
Vol 15 (2) ◽  
Author(s):  
Joshua D. Parcel ◽  
John R. Schroeter ◽  
Azzeddine M Azzam
Keyword(s):  
Resource Management ◽  
Cost Function ◽  
Cost Efficiency ◽  
Production Data ◽  
Hog Production ◽  
Current Trends ◽  
Production Practices ◽  
The Cost ◽  
The U.S ◽  
Agricultural Resource Management Survey

AbstractCurrent trends in the structure of hog production in the U.S. are toward facilities that are not only larger, but also more likely to be specialized, carrying out only some of the vertically linked phases of production in the same facility. This paper investigates the cost efficiency incentives for these changes by estimating a multistage cost function for hog production. Data are from the Hog Production Practices and Costs portion of the USDA’s 2004 Agricultural Resource Management Survey.

scholarly journals Cost efficiency estimates of maize production in Nepal: a case study of the Chitwan district

2009 ◽  
Vol 55 (No. 3) ◽  
pp. 139-148 ◽  
Author(s):  
P. Paudel ◽  
A. Matsuoka
Keyword(s):  
Cost Function ◽  
Cost Efficiency ◽  
Production Cost ◽  
Stochastic Frontier ◽  
Household Head ◽  
Primary Data ◽  
Total Production ◽  
Maize Production ◽  
The Cost ◽  
Mean Cost

This study was carried out to analyze the cost efficiency of maize production in the Chitwan district, Nepal with a view to predict economic efficiencies using stochastic frontier cost function. The primary data were collected from 180 maize farmers representing 12 village development committees (VDCs) including one municipality of the district during May–June 2005 for the cropping year 2004–2005. Among various factors, use of manure accounted the highest share in the production cost followed by labour and tractor costs. The maximum-likelihood (ML) estimates of the parameters revealed that estimated coefficients of cost of tractor, animal power, labour, fertilizer, manure, seed and maize output gave positive coefficients and were significant at 5% level. Further, quantitative estimates obtained from the cost function shows the mean cost efficiency of 1.634 indicating that an average maize farms from the study incurred about 63% costs above the frontier cost-an indication of inefficiency. Also, the significant years of schooling of the household head and maize area in the inefficiency model indicated the positive effect of these factors on cost efficiency of the farms. From the analysis of scale effect among maize farms, it was revealed that the maize farms experienced an increasing return to scale, that is, the output increased more proportionately than the total production cost.

scholarly journals Which One is More Efficient? German or Japanese Automobile Industry: A Meta-frontier with Technology Gap Comparison

2016 ◽  
Vol 9 (10) ◽  
pp. 13
Author(s):  
Yi-Cheng Liu ◽  
Ying-Hsiu Chen
Keyword(s):  
Cost Function ◽  
Technical Efficiency ◽  
Automobile Industry ◽  
Cost Efficiency ◽  
Production Technique ◽  
Technology Gap ◽  
The Difference ◽  
The Cost ◽  
Better Than ◽  
Observation Period

The goal of this paper is to compare the cost efficiency of the automobile industry in Germany and Japan during the period of 1980–2014 by applying the Meta-Frontier Cost Function. Despite the constant competition and the global automobile industry crisis during 2008-2010, only a few existing studies compare the efficiency of the industry cross countries. However, these all fail to address various types of technology adopted and the environment faced by automakers across countries. The meta-frontier model became a recognized and useful tool to evaluate technical efficiency of firms applying dissimilar technologies. Overall, the results signify that the cost efficiency of the German automobile industry by average is better than that of the Japanese one and the German one uses more superior production technique though it was lower the Japanese one in the 1980s. The difference reversed in the 1990s and has been enlarging since the 1990s to the end of the observation period.

scholarly journals Estimasi Efisiensi Bank-Bank Umum di Sumatra Barat Melalui Metode Stochastic Frontier Approach (SFA)

2009 ◽  
Vol 10 (1) ◽  
pp. 1-21
Author(s):  
Gaffari Ramadhan
Keyword(s):  
Cost Function ◽  
Cost Efficiency ◽  
Commercial Banks ◽  
Stochastic Frontier ◽  
Private Bank ◽  
Stochastic Frontier Approach ◽  
Banking Efficiency ◽  
Efficiency Estimation ◽  
The Government ◽  
The Cost

This study estimates the banking efficiency in the Province of West Sumatera for the years of 2007-2008. Using 19 samples of commercial banks, the estimation applies the Stochastic Frontier Approach (SFA) model in order to analyze the cost efficiency of commercial banks. This study finds that the bank's cost function is significantly affected by price of labors, price of funds, and loans. The results of the banking efficiency estimation show that in annually almost banks have more than 80 percent of the efficiency level. In the average estimation, it also shows the same result. By dividing banks into groups, the estimation shows that the government bank is more efficient than the national private bank.

A generalized fuzzy cost efficiency model

2020 ◽  
Vol 54 (6) ◽  
pp. 1775-1791
Author(s):  
Nazila Aghayi ◽  
Samira Salehpour
Keyword(s):  
Cost Efficiency ◽  
Minimum Cost ◽  
Extensive Literature ◽  
Data Envelopment ◽  
Fuzzy Environment ◽  
Decision Making Unit ◽  
Production Possibility Set ◽  
Fuzzy Cost ◽  
The Cost ◽  
Generalized Cost

The concept of cost efficiency has become tremendously popular in data envelopment analysis (DEA) as it serves to assess a decision-making unit (DMU) in terms of producing minimum-cost outputs. A large variety of precise and imprecise models have been put forward to measure cost efficiency for the DMUs which have a role in constructing the production possibility set; yet, there’s not an extensive literature on the cost efficiency (CE) measurement for sample DMUs (SDMUs). In an effort to remedy the shortcomings of current models, herein is introduced a generalized cost efficiency model that is capable of operating in a fuzzy environment-involving different types of fuzzy numbers-while preserving the Farrell’s decomposition of cost efficiency. Moreover, to the best of our knowledge, the present paper is the first to measure cost efficiency by using vectors. Ultimately, a useful example is provided to confirm the applicability of the proposed methods.

ANALISIS PENGARUH BIAYA OPERASIONAL PADA PERUSAHAAN PENERBANGAN NASIONAL

2017 ◽  
Vol 1 (2) ◽  
pp. 81-107
Author(s):  
Dheny Biantara
Keyword(s):  
Value Chain ◽  
Cost Efficiency ◽  
Cost Reduction ◽  
Cost Leadership ◽  
Oil Pricing ◽  
The Cost ◽  
Operation Flexibility ◽  
Airline Maintenance

Summarized Indonesian airline executive views on the reason for the cost problem in mayor airline andon the potential areas and measures of cost reduction in airline operation. Present an introductionsurvey where 3 executives from 3 Indonesian airlines were respondent. In the executive opinion the costproblem in mayor Indonesian airline is primarily due to fuel and oil pricing and money currency. Of thevarious function in airline maintenance was seen as least cost efficiency, whereas flight operation wasseen as an area with most potential for cost reduction. Indonesian airline had made route and fleetchanges after the beginning of 2011 to reduce cost, concludes from the analisys result havingprivatization would be an important step towards more efficient airline operation. Flexibility fromIndonesian airline regulatory would be very much welcome and the value chain concept to improveIndonesian airline having competitive adventage and cost leadership differentiation.

A seven year plan for upgrading the 200.000 p.e. treatment plant of Uppsala, Sweden

1994 ◽  
Vol 29 (12) ◽  
pp. 117-127
Author(s):  
Jan Erik Lind ◽  
Ernst Olof Swedling
Keyword(s):  
Cost Efficiency ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Working Environment ◽  
Regional Environment ◽  
Nitrogen Reduction ◽  
Total Investment ◽  
Close Cooperation ◽  
The Cost

The sewage treatment plant of Uppsala was originally built in 1946 and has since then been extended and upgraded several times up to 1972 when the last major upgrading was completed. In 1987 it was decided to renew the treatment plant for at least another 20-30 years of operation and to upgrade the biological process to include nitrogen reduction. A 7 year plan covering some 18 items with a total investment cost of approximately 120 MSEK was set in action during 1987. The aim was to raise the cost efficiency by introducing modern techniques, new machinery, a better working environment and a better understanding of the processes used. The need to keep the plant in operation during reconstruction work has caused difficulties, delays and unforseen costs but a close cooperation between all parties concerned (operators, contractors, engineers and the regional environment administration) has solved most of the problems. Experiences so far include an improved effluent quality, a better cost efficiency, a healthier and more engaged operating staff. A research team has been engaged to develop and introduce a nitrogen reduction scheme in the activated sludge process. This has been a challenging and fruitful experience.

scholarly journals Cost-efficiency assessments of marine monitoring methods lack rigor—a systematic mapping of literature and an end-user view on optimal cost-efficiency analysis

2021 ◽  
Vol 193 (7) ◽  
Author(s):  
Heini Hyvärinen ◽  
Annaliina Skyttä ◽  
Susanna Jernberg ◽  
Kristian Meissner ◽  
Harri Kuosa ◽  
...  
Keyword(s):  
Comparative Studies ◽  
Cost Efficiency ◽  
Cost Benefit ◽  
Marine Ecosystems ◽  
Actual Cost ◽  
Monitoring Methods ◽  
Monitoring Method ◽  
Marine Monitoring ◽  
The Status ◽  
The Cost

AbstractGlobal deterioration of marine ecosystems, together with increasing pressure to use them, has created a demand for new, more efficient and cost-efficient monitoring tools that enable assessing changes in the status of marine ecosystems. However, demonstrating the cost-efficiency of a monitoring method is not straightforward as there are no generally applicable guidelines. Our study provides a systematic literature mapping of methods and criteria that have been proposed or used since the year 2000 to evaluate the cost-efficiency of marine monitoring methods. We aimed to investigate these methods but discovered that examples of actual cost-efficiency assessments in literature were rare, contradicting the prevalent use of the term “cost-efficiency.” We identified five different ways to compare the cost-efficiency of a marine monitoring method: (1) the cost–benefit ratio, (2) comparative studies based on an experiment, (3) comparative studies based on a literature review, (4) comparisons with other methods based on literature, and (5) subjective comparisons with other methods based on experience or intuition. Because of the observed high frequency of insufficient cost–benefit assessments, we strongly advise that more attention is paid to the coverage of both cost and efficiency parameters when evaluating the actual cost-efficiency of novel methods. Our results emphasize the need to improve the reliability and comparability of cost-efficiency assessments. We provide guidelines for future initiatives to develop a cost-efficiency assessment framework and suggestions for more unified cost-efficiency criteria.

scholarly journals An Adaptive Optimization Method Based on Learning Rate Schedule for Neural Networks

2021 ◽  
Vol 11 (2) ◽  
pp. 850
Author(s):  
Dokkyun Yi ◽  
Sangmin Ji ◽  
Jieun Park
Keyword(s):  
Artificial Intelligence ◽  
Cost Function ◽  
Numerical Experiments ◽  
Global Minimum ◽  
Optimization Method ◽  
Learning Method ◽  
Adaptive Optimization ◽  
The Cost ◽  
Proof Of Convergence ◽  
Learning Data

Artificial intelligence (AI) is achieved by optimizing the cost function constructed from learning data. Changing the parameters in the cost function is an AI learning process (or AI learning for convenience). If AI learning is well performed, then the value of the cost function is the global minimum. In order to obtain the well-learned AI learning, the parameter should be no change in the value of the cost function at the global minimum. One useful optimization method is the momentum method; however, the momentum method has difficulty stopping the parameter when the value of the cost function satisfies the global minimum (non-stop problem). The proposed method is based on the momentum method. In order to solve the non-stop problem of the momentum method, we use the value of the cost function to our method. Therefore, as the learning method processes, the mechanism in our method reduces the amount of change in the parameter by the effect of the value of the cost function. We verified the method through proof of convergence and numerical experiments with existing methods to ensure that the learning works well.

Sign in / Sign up

Export Citation Format

Share Document