This study is to estimate the efficiency of 31 listed apparel companies for the period of 2006 by Data Envelopment Analysis. Tangible assets, number of employees and cost of goods sold are employed as inputs, and sales are treated as output for DEA. The results indicate that technical efficiency is the main sources of inefficiency rather than scale inefficiency. 7 out of 31 DMUs are in CRS, and 9 out of 31 show increasing return to scale. This study suggests that DMU with IRS is considered to increase inputs rather than to reduce inputs. Furthermore, slack variables are introduced to estimate optimal input-output. In addition, super efficiency is estimated in order to compare the efficiency among efficient DMUs.

2009 ◽  
Vol 6 (1) ◽  
pp. 25-45
Author(s):  
김종원
2016 ◽  
Vol 78 (12-3) ◽  
Author(s):  
Na’imah Ali ◽  
Noor Asiah Ramli ◽  
Faridah Zulkipli

RISDA has targeted for the income of each smallholder to be at least RM2500 per month by the end of 2015. However, approximately almost 90% of the smallholders’ monthly income is still below the target. Hence, in order to observe if this target is achievable, a study was conducted to evaluate the efficiency level of producing rubber among 95 rubber smallholders in Pahang. In addition, the study also investigated if there was any opportunity for increment of production among the rubber smallholders. Therefore, the Data Envelopment Analysis (DEA) model, under the assumption of Variable Return to Scale (VRS) and Constant Return to Scale (CRS), was used to analyse the scale and the technical efficiency of the smallholders. Scale Efficiency was measured in order to estimate the return to scale of the smallholders. As a result, the study found that the average Overall Technical Efficiency (OTE) and Pure Technical Efficiency (PTE) scores of the smallholders were 43.47% and 43.78%, respectively. Thus, the majority of the smallholders were not technically efficient in producing rubber. Furthermore, based on the return to scale estimated, 41% of the smallholders were operating under the Increase Return to Scale (IRS), which implied that the smallholders had a sub-optimal scale size. The results obtained had been useful as the optimal input-output for the efficient rubber yield can be determined and may help RISDA, as well as agricultural planners, to devise a strategy in order to increase the productivity of rubber smallholders in Malaysia.   


2018 ◽  
Vol 22 (22) ◽  
pp. 7339-7353 ◽  
Author(s):  
Miriam F. Bongo ◽  
Lanndon A. Ocampo ◽  
Yannie Ann D. Magallano ◽  
Geraldine A. Manaban ◽  
Ezra Kim F. Ramos

Author(s):  
Farzaneh Ghaffari ◽  
Morteza Haghiri

The nature of input-output relationships in general and ratio data in particular has important consequences for practitioners when the data envelopment analysis method is used to  measure technical efficiency of decision making units or production units. Since the data envelopment analysis approach was introduced several studies tried to develop the model from different aspects including when the model deals with ratio data. To date, none of these studies was able to address the aforementioned problem properly and as a result most of them suffered from a lack of clarity in the presence of input-and-output ratios. This study proposes a slacks-based measure of efficiency in the presence of ratio variable. Our approach deals directly with the input excess and the output shortfalls of the decision making units’ concerns, and as a result, improved measuring efficiency scores.


2018 ◽  
Vol 6 (3) ◽  
pp. 346-351
Author(s):  
Fathista Vistarani Dwi Octaviani

Efisiensi Bank Pembangunan Daerah (BPD) yang di gambarkan oleh rasio BOPO selama tahun 2013 hingga 2015 menunjukkan inefisiensi bank yang selalu meningkat. Perluasan area operasional yang dilakukan oleh BPD tentunya membawa konsekuensi pada efisiensi BPD itu sendiri. Penelitian ini bertujuan untuk menganalisis efisiensi BPD ekspansi dan non-ekspansi baik secara keseluruhan maupun individual serta menentukan besarnya variabel input-output yang harus ditingkatkan ataupun diturunkan BPD guna meningkatkan tingkat efisiensinya pada tingkat maksimal atau 100 persen. Metode penelitian yang digunakan Data Envelopment Analysis (DEA). Data penelitian ini adalah data sekunder dan bersumber dari Bank Indonesia, Otoritas Jasa Keuangan, Badan Pusat Statistik dan laporan keuangan masing-masing BPD tahun 2013 – 2015. Hasil penelitian ini menunjukkan tingkat efisiensi teknis rata-rata BPD ekspansi mencapai 99,90 persen sedangkan tingkat kinerja efisiensi teknis rata-rata BPD non-ekspansi mencapai 99,17 persen. The efficiency of the regional bank (BPD) that are described by the ratio Operational Efficiency Ratio (OER) during 2013 to 2015 always experinece increased efficiency which shows that BPD has decreased year 2013 to 2015. In addition to the expansion of areas of operation conducted by the BPD surely bring consequences on the efficiency of BPD itself. This research aims to analyze the efficiency of BPD and non-eexpansion either individually or as a whole as well as to determine the magnitude of the variable input-output which should be improved or demoted BPD in order to increase the level of efficiency at the level of maximum or 100 percent. The method of research used Data Envelopment Analysis (DEA). This research data are secondary data and proceeds from Bank Indonesia, the finansial services authority, the Central Bureau of statistics and financial statements each year 2013 – 2015 BPD. The results of this study indicate the level of technical efficiency on average reached 99.90 percent expansion BPD while the performance level of technical efficiency of the average BPD non-expansion reached 99.17 percent


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.


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