scholarly journals DISPARITAS EFISIENSI TEKNIS ANTAR SUB SEKTOR DALAM INDUSTRI MANUFAKTUR DI INDONESIA, APLIKASI DATA ENVELOPMENT ANALYSIS

2007 ◽  
Vol 3 (1) ◽  
pp. 10-26
Author(s):  
Settings Etty Puji Lestari

Efficiency is a parameter to measure performance quality of a company or agency, including manufacture industrial. One of tools was used to measure technical efficiency is Data Envelopment Analysis (DEA). This article attempts to investigate the existence of difference technical efficiency between sub sector in manufacture industry in Indonesia period 1990-2002 using DEA. This estimation result discovered that the generally performance of manufacture sector industrial in Indonesia growth in spanning perception 1990 and 2002 relative stabilize altought have decrease percentage of efficiency in economic crisis. On the contrary, these conditions do not followed by disparity efficiency growth between sub sectors which exactly experience of negative growth at perception period. The fact sign that policy strategy industrialize during the time not improve yet high level productivity, but on the other hand policy strategy industrialize during the time have enough succeeded to develop equity level between sub sector in manufacture industry

2015 ◽  
Vol 18 (5) ◽  
pp. 448-470 ◽  
Author(s):  
Fabíola Zambom-Ferraresi ◽  
Lucía Isabel García-Cebrián ◽  
Fernando Lera-López ◽  
Belén Iráizoz

This article aims to evaluate the sports performance of teams that have participated in the Union of European Football Associations (UEFA) Champions League (UCL) during the last 10 seasons (2004-2005 to 2013-2014). Technical efficiency is estimated using well-known data envelopment analysis (DEA) approaches and a bootstrapped DEA model. To solve the problem of measuring sporting results as output in knockout competitions, we propose the use of the coefficients applied by the UEFA from UCL revenue distribution. The results obtained show first that there is a high level of inefficiency in UCL over the period studied: Only 10% of the teams seem to be efficient. Also, the teams have many problems in maintaining their efficiency during the seasons. Second, the champion is always efficient. Third, we identify two sources of inefficiency: waste of sports resources and the selection of sporting tactics. Finally, from a methodological perspective, the output measure proposed seems to be suitable to represent reliably the sports results achieved by clubs in this qualifying competition type. Furthermore, our results are robust when applying alternative estimation methods. Regarding the results, some management implications are discussed and suggestions are made to boost the efficiency in inefficient clubs.


2020 ◽  
Vol 5 (2) ◽  
pp. 1-28
Author(s):  
Adnan Malik ◽  
◽  
Zahoor Khan ◽  
Sami Ullah Khan ◽  
Malik Muhammad ◽  
...  

Comprehensive and Technical Efficiency of Insurance and Takaful Companies in Pakistan Insurance and Takaful companies, both, are business organizations existing for the motive of profit. Large capital is required by the shareholders to establish a company; therefore, the company is expected to earn sufficient profit to meet the expectations of the shareholders. Moreover, a company also has its responsibilities towards its customers in terms of quality service. Shareholders are more concerned with their profit and customers regarding the services. Companies pay claims when the covered persons suffer a loss which can be the death of the family’s only bread earner, factory on fire, theft of business goods etc. Therefore, efficient financial performance of insurance and Takaful companies is important to fulfil the requirements of both: shareholders and clients. This study investigates financial efficiency of insurance and Takaful companies via Data Envelopment Analysis during the period 2011 to 2015. We have taken six general (non - life ) insurance & Takaful companies operating in Pakistan with input factors labor cost, assets and output factors premium / contribution received and percentage of claims paid. Results show that insurance and takaful companies are more than 80% efficient in their operations. For further increasing their efficiencies, they need to reduce their input by less than 20% to have same level of output. Comparing efficiencies of insurance and takaful companies, insurance companies are more efficient in terms of pure technical & super efficiency while takaful companies have higher scale efficiency than insurance companies, though the difference in most of the cases is less than 2%. Both types of companies need to improve their efficiencies by decreasing their assets input and labor cost while retaining the same output level of premiums and claims. Keywords: General insurance, Data Envelopment Analysis (DEA); Malmquist index, Takaful, Scale and technical efficiency


2015 ◽  
Vol 65 (s2) ◽  
pp. 101-113 ◽  
Author(s):  
Ling Jiang ◽  
Yunyu Jiang ◽  
Zhijun Wu ◽  
Dongsheng Liao ◽  
Runfa Xu

In the era of knowledge economy, a country’s economic competitiveness depends largely on the development level of high-tech industry. This paper evaluates the efficiency of China’s high-tech industry in 31 provinces in 2012 with data envelopment analysis. The empirical results are summarized as following. Firstly, when the effects of exogenous environmental variables are not controlled, the comprehensive technical efficiency of 31 provinces will be overestimated, the pure technical efficiency will be underestimated, and the scale efficiency value will be overestimated. Secondly, after eliminating the environmental impact, the comprehensive technical efficiency of 31 provinces with the average of 0.395 is rather low, due to the low scale efficiency.


2011 ◽  
Vol 43 (4) ◽  
pp. 515-528 ◽  
Author(s):  
Amin W. Mugera ◽  
Michael R. Langemeier

In this article, we used bootstrap data envelopment analysis techniques to examine technical and scale efficiency scores for a balanced panel of 564 farms in Kansas for the period 1993–2007. The production technology is estimated under three different assumptions of returns to scale and the results are compared. Technical and scale efficiency is disaggregated by farm size and specialization. Our results suggest that farms are both scale and technically inefficient. On average, technical efficiency has deteriorated over the sample period. Technical efficiency varies directly by farm size and the differences are significant. Differences across farm specializations are not significant.


2019 ◽  
Vol 14 (2) ◽  
pp. 362-378 ◽  
Author(s):  
Vikas Vikas ◽  
Rohit Bansal

Purpose Data envelopment analysis (DEA), a non-parametric technique is used to assess the efficiency of decision-making units which are producing identical set of outputs using identical set of inputs. The purpose of this paper is to find the technical efficiency (TE), pure technical efficiency and scale efficiency (SE) levels of Indian oil and gas sector companies and to provide benchmark targets to the inefficient companies in order to achieve efficiency level. Design/methodology/approach In the present study, a group of 22 oil and gas companies which are listed on the National Stock Exchange for which the data were available for the period 2013–2017 has been considered. DEA has been performed to compare the efficiency levels of all companies. To measure efficiency, three input variables, namely, combined materials consumed and manufacturing expenses, employee benefit expenses and capital investment and two output variables – operating revenues and profit after tax (PAT) have been considered. On the basis of performance for the financial year ending 2017, benchmark targets based on DEA–CCR (Charnes, Cooper and Rhodes) model have been provided to the inefficient companies that should be focused upon by them to attain the efficiency level. The performance of the companies for the past five years has been examined to check the fluctuations in the various efficiency scores of the companies considered in the study over the years. Findings From the results obtained, it is observed that 59 percent, i.e. 13 out of 22 companies are technically efficient. By considering DEA BCC (Banker, Charnes and Cooper) model, 16 companies are observed to be pure technically efficient. In terms of SE, there are 14 such companies. The inefficient units need to improve in terms of input and output variables and for this motive, specified targets are assigned to them. Some of these companies need to upgrade significantly and the managers must take the concern earnestly. The study has also thrown light on the performance of the companies over last five years which shows Oil India Ltd, Gujarat State Petronet Ltd, Petronet LNG Ltd, IGL Ltd, Mahanagar Gas, Chennai Petroleum Corporation Ltd and BPCL Ltd as consistently efficient companies. Research limitations/implications The present study has made an attempt to evaluate the efficiency of Indian oil and gas sector. The results of the study have significant inferences for the policy makers and managers of the companies operating in the sector. The results of the study provide benchmark target level to the companies of Oil and Gas sector which can help the managers of the relatively less efficient companies to focus on the ways to improve efficiency. The improvement in efficiency of a company would not only benefit the shareholders, but also the investors and other stakeholders of the company. Originality/value In the context of Indian economy, very limited number of studies have focused to measure the efficiency of oil and gas sector in the context of Indian economy. The present study aims to provide the latest insight to the efficiency of the companies especially operating in the Indian oil and gas sector. Further, as per our knowledge, this study is distinctive in terms of analyzing the efficiency of Indian oil and gas sector for a period of five years. The longitudinal study of the sector efficiency provides a bird eye view of the average efficiency level and changes in the efficiency levels of the companies over the years.


2018 ◽  
Vol 286 (1-2) ◽  
pp. 703-717
Author(s):  
Murilo Wohlgemuth ◽  
Carlos Ernani Fries ◽  
Ângelo Márcio Oliveira Sant’Anna ◽  
Ricardo Giglio ◽  
Diego Castro Fettermann

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