Search results

The purpose of this paper is to examine the long‐term trend in the efficiency of the Singapore banking sector.

The paper utilises the data envelopment analysis (DEA) window analysis methodology, which allows us to distinguish between three different types of efficiency namely, technical, pure technical and scale efficiencies. Given that the sample population is small, the DEA window analysis allows for a greater degree of freedom to the sample. The paper further examines whether the Singapore banking groups were drawn from the same environment during two sub‐periods by performing a series of parametric and non‐parametric tests. Finally, the paper attempts to investigate the consistency of the estimated DEA efficiency scores by examining its relationship with the traditional measures of banks’ performance.

During the period of study, the results suggest that the Singapore banking groups have exhibited mean overall or technical efficiency of 88.4 per cent. It was found that the Singapore banking groups’ overall efficiency was on a declining trend during the earlier part of the studies, before increasing dramatically during the later period.

The paper could be extended to consider the production approach along with the intermediation approach, which has been applied in this paper. Investigation of changes in productivity over time as a result of technical change or technological progress or regress by employing the Malmquist Total Factor Productivity Index, could be another extension to the paper.

This paper provides new empirical evidence on the long‐term trends in the efficiency of the Singapore banking groups.

This paper sets out to explore the effects that the setting‐up of an independent director system has on the operating efficiency of information electronics companies in China.

This paper uses 87 Chinese listed electronics companies during the initial stages of the independent directors system from 1999 to 2002 as sample subjects, and employs a two‐stage procedure for empirical investigation.

The non‐parametric test results verify that there is no significant difference in the operating efficiency of Chinese electronics companies following the establishment of an independent director system. The Tobit regression results show that the establishment of an independent director system in the Chinese electronics industry does not influence overall technical efficiency (TE), pure technical efficiency (PE), or scale efficiency (SE).

Whether the related schemes of the current corporate governance structure practised in China can achieve their expected results, as well as the possible future development direction of the governance structure, is of the utmost importance, and is a research subject worth examining in greater depth.

It is of the utmost urgency for such corporate governance to improve the selection mechanism for independent directors, to establish incentives and responsibility‐taking mechanisms for independent directors, and to amend the company law and securities law to perfect the rules of an independent director system.

By using DEA and the Tobit regression model, this study attempts to investigate whether China, in addition to fraud prevention, has improved corporate operating efficiency by introducing a system of independent directors.

The paper investigates relative efficiency of the banking industry in Bahrain by employing a panel of 31 banks for the years 1998 and 2000. We employ non‐parametric (Data Envelopment Analysis) to examine five efficiency measures, namely, cost, allocative, technical, pure technical and scale efficiency scores. We also investigate the conventional accounting measures of performance, and correlate them with five measures of efficiency to investigate whether higher accounting performance impact the bank cost efficiency. Our results show that, on the average, the banking industry in Bahrain is profitable with average ROE and ROA being 10.36% 1.622% in 1998 while 13.49% and 2.097% in 2000 respectively. The average allocative efficiency (inefficiency) is about 73% (37%), whereas the average technical efficiency (inefficiency) is about 56% (78%). This indicates that the dominant source of inefficiency in Bahrain banks is due to technical inefficiency rather than allocative inefficiency, which is mainly attributed to diseconomies in scale. Overall, average scale efficiency (inefficiency) is about 79% (26%), and average pure technical efficiency (inefficiency) is about 71% (41%), suggesting that the major source of the total technical inefficiency for Bahrain banks is pure technical inefficiency (input related) and not scale inefficiency (output related). The results also indicate that all banks have improved their efficiency levels and experienced some gains in productivity. Finally, regression analysis is used to investigate the determinants of the overall efficiency scores. We find that larger and profitable banks are more likely to operate at a higher level of efficiency. Also, another finding reveals that market power plays an important role in cost and technical efficiencies. Notably, banks with greater contribution from shareholders tend to be more technical efficient

The purpose of this paper is to develop a simultaneous measurement of overall performance and its two dimensions of efficiency and effectiveness in the case of Chinese construction industry.

A relational two-stage data envelopment analysis (DEA) method, which builds a relationship between component stages and can effectively identify inefficient stages, is developed and applied in order to measure overall performance, efficiency and effectiveness.

The construction industry of the Eastern region in China demonstrated the best results for overall performance, efficiency and effectiveness. The gaps between regions were primarily reflected in differences of pure technical efficiency. Performance indicators in the whole construction industry improved steadily and but could be improved more effectively. The coefficients of variation became smaller and more well-balanced across the whole industry.

Improving overall performance should focus on promoting construction efficiency at the project level and increasing management effectiveness at the company level. Sustainable development policies, which may include large investment and preferential policies, can narrow performance differences among the regions’ construction industries, and ultimately promote overall performance for the whole industry.

The relational two-stage DEA model is further developed in a variable returns-to-scale condition. The developed approach is generic and can provide a pathway for simultaneously measuring performance, efficiency and effectiveness and to recognise competitive advantages for promoting sustainable development.

The purpose of this paper is to examine the relative efficiency and productivity of hospitals during the health reform process.

Data envelopment analyses method (DEA) with the input‐oriented variable‐returns‐to‐scale model was used to calculate efficiency scores. Malmquist total factor productivity index approach was then employed to calculate productivity of hospitals. Data of 101 hospitals was extracted from databases of the Ministry of Health, Vietnam from the years 1998 to 2006.

There was evidence of improvement in overall technical efficiency from 65 per cent in 1998 to 76 per cent in 2006. Hospitals' productivity progressed around 1.4 per cent per year, which was mainly due to the technical efficiency improvement. Furthermore, provincial hospitals were more technically efficient than their central counterparts and hospitals located in different regions performed differently.

The paper provides an insight in the performance of Vietnamese public hospitals that has been rarely examined before and contributes to the existing literature of hospital performance in developing countries

The purpose of this paper is not only to gauge the extent of technical efficiency in 31 state road transport undertakings (SRTUs) operating in India but also to explore the most influential factors explaining its variations across SRTUs.

Three popular data envelopment analysis (DEA) models, namely CCR, BCC and Andersen and Petersen's super‐efficiency models, have been utilized to compute various efficiency scores for individual SRTUs. A censored Tobit analysis is conducted to see which factors significantly explain the inter‐SRTU variations in efficiency.

The key findings of the DEA analysis are only five SRTUs define the efficient frontier, and the remaining 26 inefficient undertakings have a scope of inputs reduction, albeit by the different magnitude; the extent of average overall technical inefficiency (OTIE) in these SRTUs is to the tune of 22.8 percent, indicating that the sample SRTUs are wasting about one‐fourth of their resources in the production operations; managerial inefficiency (as captured by the pure technical inefficiency) is a relatively more dominant source of OTIE; and operation in the zone of increasing returns‐to‐scale is a common feature for most of the undertakings. The multivariate regression analysis using Tobit analysis highlights that the occupancy ratio is the most significant determinant for all the efficiency measures, and bears a positive relationship with overall technical, pure technical and scale efficiencies. Further, scale efficiency is also impacted positively by the staff productivity.

The results of this paper can be applied from management's perspective. The managers can assess the relative efficiency of their SRTUs in the industry and take corrective measures to improve efficiency by altering input‐output mix.

This paper provides more robust estimates of relative efficiency of the SRTUs and highlights the key determinants of overall technical efficiency.

To examine the relative efficiency between the domestic and foreign banks Islamic banking operations in Malaysia.

The paper utilises the Data Envelopment Analysis (DEA) methodology, which allows for the decomposition of technical efficiency into its pure technical and scale efficiency components. The authors further examined whether the domestic and foreign banks are drawn from the same population by performing a series of parametric and non‐parametric tests. Finally, the authors attempt to investigate the consistency of the estimated DEA efficiency scores by examining its relationship with the traditional measures of banks performance.

The results from the DEA suggest that Malaysian Islamic banks efficiency declined in year 2002 to recover slightly in years 2003 and 2004. The domestic Islamic banks were more efficient compared to the foreign Islamic banks albeit marginally. The source of inefficiency of Malaysian Islamic banks in general has been scale, suggesting that Malaysian Islamic banks have been operating at the wrong scale of operations. The results from the parametric and non‐parametric tests further suggest that the foreign and domestic banks are drawn from the same population, as most of the test results could not reject the null hypothesis at the 0.05 levels of significance. The results from the correlation coefficients have further confirmed the dominance of scale in determining the technical efficiency of Malaysian Islamic banks. The results also suggest that profitability is significantly and positively correlated to all efficiency measures.

The paper can be extended to consider the production approach along with the intermediation approach, which has been applied in this paper. Investigation of changes in productivity over time as a result of technical change or technological progress or regress by employing the Malmquist Total Factor Productivity Index could yet be another extension to the paper.

This paper provides new evidence on the relative efficiency of domestic and foreign banks, which offer Islamic banking services.

This study assesses the impact of corporate social responsibility (CSR) practices on the relative efficiency of conventional and Islamic Egyptian banks in the period 2012–2018.

A three-stage approach is adopted. First, data envelopment analysis (DEA) is used to assess the relative efficiency of Egyptian banks. Second, a CSR index is designed and used to assess the extent of aggregate CSR practices in Egyptian banks, together with their sub-dimensions. Third, a Tobit regression model is used to examine the impact of CSR on the technical efficiency of these banks.

There is no statistically significant difference between conventional and Islamic banks as regards their purely technical efficiency. Egyptian banks, on average, have achieved a medium score in their practices of CSR and conventional and Islamic banks have not shown significant differences, except in 2018. Moreover, the aggregate CSR practices positively affect the technical efficiency of Egyptian banks. The practices of the CSR sub-dimensions, apart from the community sub-dimension, also affect the banks' technical efficiency.

The legislative institutions and the Central Bank should enhance CSR practices in Egyptian banks, particularly the practices related to customers and the community, in order to enhance the purely technical efficiency of these banks.

The paper is original in investigating the impact of CSR on banks' relative efficiency in Egypt.

The purpose of this paper is to examine the efficiency of the banking sector in Qatar. The paper utilizes 15 banks comprising Islamic, conventional and foreign banks for the duration of 2007 to 2011.

Data envelopment analysis (DEA) technique is applied to compute technical efficiency, pure technical efficiency and scale efficiency. Also, Malmquist productivity index (MPI) is used to identify the sources of productive efficiencies of the banks.

The results suggest that Qatari banks are operating below optimum performance and thus there is still room for improvement. While conventional banks are the most efficient in Qatar in terms of technical and pure technical efficiencies, Islamic banks are most efficient in terms of scale efficiency. Besides, pure technical inefficiency dominated scale inefficiency in the Qatari banking sector. Moreover, as compared to the Islamic banks, conventional and foreign banks recorded a reduction in average technical efficiency during the duration of the 2008/2009 global financial crisis. In terms of productivity progress, all the Qatari banks were experiencing a decline in productivity mainly attributed to less technological innovation in the banking sector of Qatar.

Most of the banks in Qatar do not have published data before 2007 and after 2011.

There is less technological innovation in the banking sector of Qatar. Hence, bank managers in Qatar should focus on educating customers about modern banking technologies and other innovative banking services in Qatar.

This study is a pioneering effort in the application of DEA and MPI to study about the banking sector in Qatar.

The purpose of this study is to measure the technical efficiency of 20 Algerian insurance companies from 2016 to 2020, by using slacks-based measure (slacks-based measure [SBM] data envelopment analysis [DEA]) model. This research aims to provide a comprehensive assessment of this companies' efficiency, taking into account both the desirable and undesirable outputs.

The study uses a nonoriented, SBM model with the assumption of constant returns to scale to estimate the technical efficiency of commercial insurance companies over a five-year period. The inputs used are labor expense, agent expense and investments, while the outputs included are gross premiums and investment income as desirable outputs and gross claims as undesirable output.

Among 20 insurance companies evaluated, only 5 companies consistently achieved technical efficiency during the study period (Caisse Nationale de Mutualité Agricole [CNMA], MACIR, CARDIF, MUTUALISTE and AGLIC); so they represent the best practices in the Algerian insurance sector, with overall average of the technical efficiency is 81%. However, the reference sets analysis showed that CNMA and AGLIC had high robustness. Also, the results demonstrate the impact of ignoring the undesirable outputs on the accuracy of the assessment.

The sample of the study consists of the active insurance companies in Algeria, based on the Annual Insurance Reports of Algeria; there are 20 companies as shown in the table. The data are taken from the annual reports of insurance companies during the 2020 period, issued by the Algerian Ministry of Finance.

The challenge for insurance company is how to find a balance between reducing claims paid and simultaneously improving the quality of insurance services. In fact, it is observed that studies evaluating their efficiency ignore claims in the analysis process. Therefore, the study highlights the importance of considering undesirable outputs within the DEA framework; this allows for a more accurate assessment of the company's performance and helps in improvement. Furthermore, although the insurance sector plays a crucial role, it has not received enough research attention compared to other financial sectors, especially in Arab and developing countries.

The literature on efficiency assessment in the insurance companies shows a lack of addressing undesirable outputs (such as claims) within the DEA framework; so this study aims at bridging this research gap. Also, the study provides an overview of the efficiency of Algerian insurance companies.