scholarly journals Technical Efficiency Analysis of Terubok Fisheries in Malaysia

2019 ◽  
Vol 8 (4) ◽  
pp. 311
Author(s):  
Ashraf-Roszopor, M. ◽  
Dayang-Affizzah, A. M. ◽  
Abdullah, A. M. ◽  
Latif, I. L. ◽  
Nor Afiza, A. B.
Keyword(s):  
Technical Efficiency ◽  
Living Standard ◽  
Positive Sign ◽  
Estuarine Fish ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Tobit Analysis ◽  
Efficiency Performance ◽  
Commercial Value ◽  
The Impact

Terubok fish is an estuarine fish that is significant among local fishermen because of high commercial value and it also constitutes to source of income for Terubok fishermen during its catching season. Therefore, due to high commercial value, Terubok fish has been subject to overfished and the population has been declining throughout the years. This study is carried out to analyse the efficiency performance of Terubok fisheries in Malaysia. A sample of actively Terubok fishermen was selected through stratified random sampling and the field survey has conducted at three different places in Sarawak. Data Envelopment Analysis (DEA) and Tobit Analysis were employed to determine the technical efficiency level and factors influencing technical efficiency among Terubok fishermen. The results of the study show that, most fishing units exhibit a low level of technical efficiency. This implies that either fishing inputs were used inefficiently, or insufficient inputs were used in fishing operations. The mean technical efficiency of the sample was estimated to be 0.304 using CRS Model, 0.406 using VRS Model and Scale Efficiency is 0.805. The determinant factors of efficiency among Terubok fishermen was among all, hours in a day, days spent in fishing per month, engine horsepower and fisherman association show positive sign towards efficiency contradictorily other determinant such as age, education, distance and length of vessels possess negative sign towards efficiency. These findings suggest that there’s urgent need to the efficiency level of the fishermen as this will indicate the impact of their living standard. With appropriate training and using more advanced technologies by the fishermen, the level of technical efficiency can be raised, segmented for inshore fisheries.

scholarly journals Efficiency Evaluation of China’s Public Sports Services: A Three-Stage DEA Model

2021 ◽  
Vol 18 (20) ◽  
pp. 10597
Author(s):  
Pengyu Ren ◽  
Zhaoxia Liu
Keyword(s):  
Technical Efficiency ◽  
Environmental Variables ◽  
Positive Impact ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Fitness Program ◽  
Dea Model ◽  
Service Efficiency ◽  
The Impact

Improving the level of public sports services enhances citizens’ physical fitness by implementing the national fitness program. A systematic and scientific efficiency evaluation is a prerequisite for optimizing and improving the level of public sports services in China. Based on data of the Chinese Statistic Yearbook, this study adopted the three-stage data envelopment analysis (DEA) model to measure and analyze the efficiency of public sports services in 31 provinces in China in 2016. To analyze the efficiency of public sports services, technical efficiency was decomposed into pure technical efficiency and scale efficiency. Simultaneously, environmental variables were added to improve accuracy. The results showed that scale efficiency was overestimated, and external technical efficiency was underestimated, before the elimination of external factors and environmental variables. Environmental factors significantly impacted the efficiency of public sports services. Regional gross domestic product (GDP) had a potentially positive impact, while population size partially restricted public sports service efficiency. After eliminating the impact of environmental and random factors, the comprehensive efficiency, pure technical efficiency, and scale efficiency of public sports services all showed improvement in varying degrees. The results provide beneficial insights for the formulation of rational improvement policies for public sports services.

scholarly journals The Efficiency Performance of Global Islamic Banks

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Norlina Kadri ◽  
Rossazana Abdul Rahim ◽  
Dyg Siti Zahrah Abg. Abdillah
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Banking Sector ◽  
Scale Efficiency ◽  
Islamic Banking ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Technical Inefficiency ◽  
Efficiency Performance ◽  
Dea Approach

This paper examines the efficiency performance of the Islamic banks that consist of 14 countries namely Bahrain, Bangladesh, Iran, Jordan, Kuwait, Lebanon, Malaysia, Pakistan, Qatar, Saudi, Tunisia, Turkey, UAE, and Yemen during the period of 2004-2011 with 44 Islamic banks involved. The efficiency estimates of individual banks are evaluated using the Data Envelopment Analysis (DEA) approach. The empirical findings suggest that during the period of study, pure technical efficiency outweighs scale efficiency in the global Islamic banking sector implying that the Islamic banks have been managerially efficient in exploiting their resources to the fullest extent. The empirical findings seem to suggest that the global Islamic banks have exhibited high pure technical efficiency. During the period of study it is found that pure technical efficiency has greater influence in determining the total technical inefficiency of the Global Islamic banking sectors.

The efficiency of Islamic banks in Malaysia: Based on DEA and Malmquist productivity index

2018 ◽  
Vol 6 (3) ◽  
pp. 15
Author(s):  
Mohd Faizal Basri ◽  
Amirul Afif Muhamat ◽  
Mohamad Nizam Jaafar
Keyword(s):  
Technical Efficiency ◽  
Foreign Banks ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Islamic Banking ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Finance House ◽  
The Impact

This paper aims to investigate the impact of liberalisation move by Bank Negara Malaysia (BNM) towards the efficiency of domestic and foreign Islamic banks (IBs) in Malaysia. This is consequence of decision of BNM that awarded licenses to three international IBs, namely Kuwait Finance House (KFH), Al Rajhi Bank, and Asian Finance Bank in 2005. In addition, this study takes into consideration the existing foreign banks in the country that operate via Islamic banking subsidiaries as part of foreign IBs. The research evaluates the impact of foreign Islamic banks in Malaysia by measuring their contribution to the growth of the Malaysian Islamic banking industry. Using a sample of 16 IBs in Malaysia from 2008 to 2015, the study uses Data Envelopment Analysis (DEA) in measuring the efficiency level of each bank and comparative between the performance of domestic and foreign IBs in the country. The paper also employs the Malmquist Productivity Index to gauge the changes in its components between the same subjects and timeframe. The DEA results showed that the domestic Islamic banks are considered more efficient than most domestic Islamic banks outperforming the foreign Islamic banks. Banks like Hong Leong Islamic, Maybank Islamic, Public Islamic, and RHB Islamic are considered among the top performers for technical efficiency and scale efficiency. The study also found that based on the Malmquist Productivity Index, the least efficient banks based on DEA have improved in technical efficiency, technology, and total factor productivity (TFP).

scholarly journals An Analysis of Revenue Maximising Efficiency of Public Sector Banks in the Post-Reforms Period

2017 ◽  
Vol 6 (1) ◽  
pp. 111-125 ◽  
Author(s):  
Ombir Singh ◽  
Sanjeev Bansal
Keyword(s):  
Regression Analysis ◽  
Public Sector ◽  
Technical Efficiency ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Public Sector Banks ◽  
Using Data ◽  
Tobit Regression Analysis ◽  
The Impact

Abstract The paper investigates and compares the performance of the Indian public sector banks (PSBs) based on revenue maximising efficiency in the deregulation period from 2001-02 to 2012-13. Several efficiency estimates viz., overall technical efficiency, pure technical efficiency and scale efficiency of individual banks are calculated using Data Envelopment Analysis (DEA). The empirical findings indicate the presence of managerial and scale inefficiencies in the operation of the most of the PSBs. Applying the Tobit regression analysis, the paper also assesses the impact of different environmental factors, like profitability, the level of non-performing assets, size etc. on the efficiency of PSBs. It is observed that banks with high profitability, low level of non-performing assets, and relatively larger size are more technically efficient.

The impacts of economic reform on the efficiency of silviculture: a non-parametric approach

2002 ◽  
Vol 7 (1) ◽  
pp. 107-122 ◽  
Author(s):  
Yaoqi Zhang
Keyword(s):  
Technical Efficiency ◽  
Economic Reform ◽  
Economic Transition ◽  
Economic Reforms ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Efficiency Gain ◽  
Heilongjiang Province ◽  
Economic Agents ◽  
The Impact

Institutions and organizations are regarded as being important in determining the efficiency of economic agents and public units. This study first reviews the economic reforms in silvicultural activities in China's state-owned forestry bureaux, then empirically examines the impact of economic reforms. Panel data from 40 forestry bureaux in Heilongjiang Province, and two different economic regimes: from the pre-reform and economic transition periods, are analyzed by Data Envelopment Analysis (DEA). The technical efficiency has been decomposed into pure technical efficiency and scale efficiency and then examined. Our results show that the economic reforms have increased efficiency on average by about 25 per cent. Moreover, the study qualitatively analyses the sources of improvement and argues that the efficiency gain is a result of reductions in labour shirking and administration costs.

scholarly journals Corporate Governance and Efficiency of Rural and Community Banks (RCBs) in Ghana

2018 ◽  
Vol 3 (2) ◽  
pp. 93-118 ◽  
Author(s):  
Eric Fosu Oteng-Abayie ◽  
Anthony Affram ◽  
Henry Kofi Mensah
Keyword(s):  
Corporate Governance ◽  
Technical Efficiency ◽  
Banking Sector ◽  
Data Availability ◽  
Data Envelopment ◽  
Community Banks ◽  
Governance Indicators ◽  
Efficiency Performance ◽  
Corporate Social ◽  
The Impact

Corporate governance crises that occur in the banking sector normally cripple economies and bring many hardships to individuals, corporate entities, communities, and the nation at large. In this study, we sought to examine the level of technical efficiency and productivity growth of rural and community banks (RCBs) and the impact of corporate governance indicators on the RCBs' efficiency performance in Ghana. A sample of 70 out of 140 RCBs was selected based on the ARB Apex Bank's performance ratings and data availability. Data envelopment analysis (DEA) was used to determine the technical efficiency scores of the selected RCBs. In the second stage of the analysis, these computed efficiency scores were regressed on the corporate governance variables to assess the effects of the latter. The findings from the DEA approach show that 11% to 20% of the sampled RCBs in Ghana operate close to the efficiency frontier, whereas the majority - about 65% to 81% - underperformed within the study period of 2007 to 2013. The study further established that the number of board members, frequency of board meetings, and corporate social responsibility have significant influence on RCB efficiency.

scholarly journals The Measurement of Innovation Efficiency of Chinese High-tech Industry Using Data Envelopment Analysis

2015 ◽  
Vol 65 (s2) ◽  
pp. 101-113 ◽  
Author(s):  
Ling Jiang ◽  
Yunyu Jiang ◽  
Zhijun Wu ◽  
Dongsheng Liao ◽  
Runfa Xu
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Environmental Variables ◽  
Scale Efficiency ◽  
High Tech ◽  
Data Envelopment ◽  
High Tech Industry ◽  
Economic Competitiveness ◽  
Development Level ◽  
Using Data

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.

scholarly journals Does Farm Size and Specialization Matter for Productive Efficiency? Results from Kansas

2011 ◽  
Vol 43 (4) ◽  
pp. 515-528 ◽  
Author(s):  
Amin W. Mugera ◽  
Michael R. Langemeier
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Production Technology ◽  
Returns To Scale ◽  
Productive Efficiency ◽  
Farm Size ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Sample Period ◽  
Analysis Techniques

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.

Efficiency evaluation of Indian oil and gas sector: data envelopment analysis

2019 ◽  
Vol 14 (2) ◽  
pp. 362-378 ◽  
Author(s):  
Vikas Vikas ◽  
Rohit Bansal
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Capital Investment ◽  
Oil And Gas ◽  
Stock Exchange ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Content Type ◽  
Indian Economy ◽  
Oil And Gas Sector

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.

scholarly journals Performance of Village Unit Co-Operatives in Yogyakarta Special Region: A Data Envelopment Analysis Approach

2017 ◽  
Vol 1 (2) ◽  
pp. 067
Author(s):  
Abi Pratiwa Siregar ◽  
Jamhari Jamhari ◽  
Lestari Rahayu Waluyati
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Best Practice ◽  
Negative Impact ◽  
Positive Impact ◽  
Three Dimensions ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Rice Milling ◽  
Special Region

This study assessed the performance of 32 village unit co-operatives (KUD) in Yogyakarta Special Region during 2011 to 2012. The efficiency level of the KUD were evaluated by employing the data envelopment analysis and multiple regression analysis using panel data to determine the factors affecting efficiency level. Efficiency analysis was decomposed into three dimensions to explore possible sources of inefficiency. According to Marwa and Aziakpono (2016), the first dimension was technical efficiency, which explored the overall effectiveness of transforming the productive inputs into desired outputs compared to the data-driven frontier of best practice. The second dimension was pure technical efficiency, which captured managerial efficiency in the intermediation process. The third dimension was scale efficiency, which explored whether KUD were operating in an optimal scale of operation or not. The results found that the average scores are 64%, 92%, and 68% for technical, pure technical, and scale efficiency respectively in 2011, while in 2012 the average scores are 57%, 94%, and 60% for technical, pure technical, and scale efficiency. Factors having significantly positive impact on several measures of efficiency are incentive and dummy variables (agriculture inputs and hand tractor). Accounts receivable only has positive relationship to pure technical efficiency. On the other hand, rice milling unit and electricity services have negative impact with several measures of efficiency.

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