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

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.

2016 ◽  
Vol 18 (3) ◽  
pp. 307-332
Author(s):  
Mokhamad Anwar

This paper evaluates the performance of Indonesian banking sector, focusing on technical efficiency of sharia and conventional banks along with the determinants of its efficiency during the period 2002-2010. Data Envelopment Analysis is employed to estimate banks technical efficiency and Tobit-regression is used to reveal the determinants of the efficiency over the panel data of 116 banks, including 109 conventional banks and 7 sharia banks. The result shows that sharia banks outperformed conventional banks in one model when it takes into account small business finance (SBF) as one of the output components in the model. Sharia banks have higher average SBF portfolio than those of conventional banks’ portfolio. The result indicates the efforts of Indonesian sharia banks to obey one of the principles in Islamic banking, “the emphasis on Islamic principles of morality”. By observing all models, it is concluded that the size of the bank, capital adequacy and liquidity are of banks characteristic factors which are very important to increase banks’ efficiency


2022 ◽  
Vol 11 (2) ◽  
pp. 105-112
Author(s):  
Zaenal Abdin ◽  
R. Mahelan Prabantarikso ◽  
Edian Fahmy ◽  
Ahmad Farhan

Financial system stability is not only supported by the banking sector, but also the role of insurance companies that operate efficiently. The study aims to analyze the efficiency performance of general insurance companies using two stages of data envelopment analysis during the 2017 – 2018 period. The first stage of efficiency measurement using a non-parametric data envelopment analysis (DEA) approach shows the efficiency level of general insurance companies experiencing a positive trend. The performance of general insurance companies in 2018 was more efficient than in 2017 based on the value of technical efficiency (CRS) and the value of pure technical efficiency (VRS). This means that in general there has been an increase in the efficiency of general insurance companies in Indonesia from 2017 to 2018. Testing the efficiency determinants in the second stage using the Tobit regression model found that the cost ratio is the only factor that significantly influences the efficiency level of general insurance companies in Indonesia. Meanwhile, company ownership and investment adequacy ratio have no significant effect on the efficiency level of general insurance companies in Indonesia. The results of the study provide recommendations to the management of general insurance companies that efficiency performance has not reached the maximum, and to improve it, it is necessary to control costs without disturbing routine operations and development activities.


2018 ◽  
Vol 6 (3) ◽  
pp. 15
Author(s):  
Mohd Faizal Basri ◽  
Amirul Afif Muhamat ◽  
Mohamad Nizam Jaafar

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).


2021 ◽  
Vol 2 (6) ◽  
pp. 30-39
Author(s):  
R. Nellutla ◽  
R. Ashok ◽  
M. Ramesh ◽  
V. V. Haragopal

In this present research paper we analyze the universities data by CCR, BCC models through Data Envelopment Analysis (DEA) approach for the State of Telangana. To know the Performance of student’s university wise in state of Telangana. University wise Performances is presented along with technical efficiency, Pure Technical Efficiency, Scale Efficiency, CRS, VRS, Reference set and Peers. Measuring the Technical Efficiency (TE) and Pure Technical Efficiency (PTE) of the universities by CCR, BCC Model through DEA approach.


2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Oladipupo Luqman Salami ◽  
Adewale Abideen Adeyemi

This paper aims to fill an apparent dearth of empirical studies that compare the efficiency of Islamic banks in Malaysia during their operation as Islamic windows and later transformation to full-fledged Islamic banks. Data obtained from the annual financial reports of the sampled banks is analyzed using the Data Envelopment Analysis (DEA) via DEAP 2.1 software to assess both the technical and scale efficiency of the banks under sample. Results obtained indicate that the banks have improved over the years in terms of both scale and technical efficiency although the former takes prominence. In general, the banks were found to be more efficient as Islamic windows compared to being full-fledged subsidiaries. This augurs well for the current disposition where, as per the Islamic Financial Service Act 2013, Islamic banks in Malaysia may now operate as full-fledged banks from their hitherto Islamic banking window status.Keywords: Scale Efficiency; Technical Efficiency; Islamic Window; Full-Fledged Banks.


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.


2017 ◽  
Vol 1 (2) ◽  
pp. 067
Author(s):  
Abi Pratiwa Siregar ◽  
Jamhari Jamhari ◽  
Lestari Rahayu Waluyati

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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