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This paper aims to compute the Malmquist Index of Islamic and conventional banks to compare their performance in the sample period of 2005-2009. Islamic banks have been showing tremendous growth throughout the world in recent past. Their progress is exceptional in Islamic countries on account of patronization for religious reasons. There existed vacuum in research of their productivity change over the years.

This study tries to apply the Malmquist Index. The Malmquist Total Factor Productivity Index has been further divided into Efficiency Change Index, Technological Change Index, Pure Efficiency Change Index and Scale Efficiency Change Index to obtain an insight about the reasons for the change in productivity.

Results indicate that the productivity of Islamic banks decreased in 2007 but it increased in 2008 to 2009. Islamic banks had higher productivity growth from 2005 to 2006, but they experienced lower growth in subsequent years as compared to their conventional counterparts.

Data were not available before 2005 in Pakistan.

This study is helpful for the investors and bankers for formulating the future policy.

This study also provides a guideline for establishing the ethical financial institutions.

This is an original attempt.

The purpose of this paper is to analyze the total factor productivity (TFP)[1] change and to investigate its determinants in the case of MENA Islamic banks.

In the first stage, bootstrapped Malmquist index approach is used to provide a robust analysis of the changes in the productivity of 33 Islamic banks operating in 10 MENA countries during the period 2006-2011. In the second stage, panel data models are used to investigate the determinants of TFP change.

The results of the first stage show that Gulf Cooperation Council (GCC) banks have known a productivity decline between 2006 and 2011 due to technical regress and scale inefficiency. In contrast, non-GCC banks have improved their productivity by benefiting from scale economies. The results of the second stage show that the productivity growth of MENA Islamic banks was mainly determined by bank-specific factors and that TFP indices decreased in the period of global financial crisis.

This paper provides relevant recommendations for improving the productivity of Islamic banks operating in the MENA countries.

This paper attempts to fill a demanding gap in the literature by examining productivity change and investigating its determinants using cross-country data of MENA Islamic banks. In addition, it is one of the few studies that have applied the bootstrapped Malmquist index approach in the case of Islamic banking.

The objectives of this paper are to estimate the annual Malmquist TFP(total factor productivity) index of Korea and China’s road freight transport with DEA(data envelope analysis) and to decompose the index into technical efficiency change and technology change. In the process of the estimation, we used labor, capital, and fuel as input factors and ton-km of road freight transport as output factor. The panel data of Korea and China’s road freight transport industry from 1985 to 2004 are used. The results of the analysis show several points. First, there was no significant improvement in China’s TFP growth before 1997, but there was continuous growth in TFP since 1997 because of constantly increasing domestic freight transport demand. Second, there was downward trend in Korea’s TFP, especially there was a large reduction of productivity in 1998 because of the huge reduction of road freight transport demand during the period of the economic crisis. Third, the technology improvements play a significant role in the TFP growth and the technical efficiency had negative effects on the TFP growth of Korea. However, the technology improvements as well as the technical efficiency had positive effects on the TFP growth of China’s road freight transport industry.

The purpose of this paper is to analyse the performance of the Indian non-life (general) insurance sector in terms of efficiency, productivity and returns-to-scale economies. In addition to this, it identifies the determinants of efficiency.

This study employs a two-stage data envelopment analysis (DEA) bootstrap approach to estimate the level and determinants of efficiency. In the first stage, the DEA bootstrap approach is employed to estimate bias-corrected efficiency scores. In the second stage, the truncated bootstrapped regression is used to identify the effect of firm-level characteristics on the efficiency of insurers. Moreover, the bootstrapped Malmquist index is used to examine the productivity growth over the observation period 2005–2016.

The bootstrapped DEA results show that the Indian non-life insurance sector is moderately technical, scale, cost and allocative efficient, and there is a large opportunity for improvement. Moreover, the results reveal that the public insurers are more cost efficient than the private insurers. It is also evident that all the insurers irrespective of size and ownership type are operating under increasing returns to scale. Malmquist index results divulge an improvement in productivity of insurers, which is attributable to the employment of the best available technology. Bootstrapped DEA and bootstrapped Malmquist index results also show that the global financial crisis of 2008 has not severely affected the efficiency and productivity of the Indian non-life insurance sector. The truncated regression results spell that size and reinsurance have a statistically significant negative relationship with efficiency. It also shows a statistically significant positive age–efficiency relationship.

The results hold practical implications for the regulators, policy makers, practitioners and decision makers of the Indian non-life insurance companies.

This study is the first of its kind that comprehensively investigates different types of robust efficiency measures, determinants of efficiency, productivity growth and returns-to-scale economies in the Indian non-life insurance market for an extended time period.

The purpose of this paper is to provide a total factor productivity index for the African banking industry. It also investigates the impact of some internal and external determinants affecting bank productivity.

The biennial Malmquist productivity index and various regression models (ordinary least squares, Tobit and truncated bootstrapped regression) are employed in analyzing data from 120 banks in 24 African countries from 2007 to 2012.

The results indicate a general decline in productivity of banks in Africa, largely due to inadequate technological progress. State banks are found to be more productive than foreign and private banks. The regression analyses showed that non-executive directors, leverage, management quality, credit risk, competition and exchange rate have significant impact on bank productivity, but ownership and CEO-duality do not.

The results have implications for management of banks, governments and regulators. It shows the need for policy and investments that improve state-of-the art technology. The findings also seem to suggest poor management practices in input usage, especially in operational management, as well as costs emanating from non-interest sources. Bank managers need to address these deficiencies to improve productivity in African banking markets.

A major contribution of this paper is the productivity index provided for the African banking industry. This study is also the first to apply the biennial Malmquist to analyze productivity in the African banking industry.

Gives an overview of the Australian banking industry, reviews relevant research and analyses productivity changes 1995‐1999 in a panel of 17 banks to assess the effects of deregulation and the reforms introduced by the Wallis report (1997). Explains the methodology (Malmquist indices calculated by data envelopment analysis) and presents the results, which show a decline of 3.1 per cent in technical efficiency over the period and of 3.5 per cent in the total factor productivity index, although there was an annual productivity growth rate of 1.3 per cent. Discusses the underlying reasons for this, compares productivity changes in individual banks and finds that size makes no difference. Considers the implications for policy makers, describes the industry as having a “limit of deregulation” syndrome and believes that further productivity gains depend on advances in technology.

This study aims to analyse Gulf Cooperation Council (GCC) Islamic and conventional banks’ productivity and to investigate the impact of Basel III on their productivity change. This study is conducted on 73 GCC banks (45 conventional and 28 Islamic) over the period of 2005-2015.

This study uses the data envelopment analysis-type Malmquist productivity change index and its component indexes to obtain a deep insight into the source of productivity change.

The results show that Islamic banks are less productive than their conventional counterparts. Also, the results indicate that Basel III accord has impeded the GCC banks’ productivity and this negative effect is larger on Islamic banks. However, there is scale efficiency progress in the past years that offsets the production frontier deterioration, which leads to stagnation in total productivity change for both banks.

This study differs from the previous GCC banks’ productivity studies in several ways. Firstly, it covers a recent period that includes major events such as the global crisis and focuses on the influence of Basel III accord on GCC banks’ productivity. Secondly, as opposed to the previous studies, this study will estimate the GCC banks’ productivity index and its components based on separate frontiers for Islamic and conventional banks that will ensure the homogeneity in the sample and the robustness of the results. Thirdly, this study uses a combination of parametric and non-parametric tests to confirm and check the robustness of the findings. Lastly, to the best of the knowledge of the authors, this is the first study that tries to analyse the GCC banking sector productivity around the new Basel III announcement.

This study attempts to comprehensively analyze the cost Malmquist productivity index of conventional and Islamic banks in Saudi Arabia, the largest dual banking sector in the world, during the COVID-19 pandemic.

This study employs the novel approach of cost Malmquist productivity index, which focuses on production costs, to measure the change in cost productivity so that the actual impact of the COVID-19 pandemic could be captured.

The Saudi Central Bank has successfully mitigated the impact of the COVID-19 epidemic on the Saudi banking sector by implementing several policies and services. This success is reflected in the large positive shift in the production frontier of Saudi banks. Moreover, it was found that Islamic Saudi banks were by far more productive than conventional Saudi banks during the COVID-19 pandemic. However, the total cost productivity index (CMPCH) of Islamic Saudi banks starts to decline sharply in the last quarter of 2022 compared to conventional Saudi banks, indicating that Islamic banks in Saudi Arabia are suffering the most from the tighter monetary policy recently implemented by the Saudi Central Bank.

The results provide insights for policymakers and investors on how different types of banks respond differently to economic crises and monetary policy changes. Targeted support measures may be needed to ensure all banks remain productive and efficient.

To the author’s knowledge, this is the first study to use this innovative methodology to assess the impact of COVID-19 on bank performance in a dual banking sector.

This chapter provides a survey of alternative methodologies for measuring and comparing productivity and efficiency of airlines, and reviews representative empirical studies. The survey shows the apparent shift from index procedures and traditional OLS estimation of production and cost functions to stochastic frontier methods and Data Envelopment Analysis (DEA) methods over the past three decades. Most of the airline productivity and efficiency studies over the last decade adopt some variant of DEA methods. Researchers in the 1980s and 1990s were mostly interested in the effects of deregulation and liberalization on airline productivity and efficiency as well as the effects of ownership and governance structure. Since the 2000s, however, studies tend to focus on how business models and management strategies affect the performance of airlines. Environmental efficiency now becomes an important area of airline productivity and efficiency studies, focusing on CO₂ emission as a negative or undesirable output. Despite the fact that quality of service is an important aspect of airline business, limited attempts have been made to incorporate quality of service in productivity and efficiency analysis.

This paper aims to examine whether the African commercial banks selected as the best African banks by Global Finance Magazine really are the best.

Panel data envelopment analysis (DEA) was used, as well as the Malmquist total factor productivity index, to distinguish productive banks from unproductive banks. Nineteen commercial banks were selected from the 30 best African banks as identified by the Global Finance Magazine.

Of the 19 banks, five were found to be unproductive. Bank productivity was attributed mainly to technological change, and different methods marked different results, for example, the regional winner bank (Standard Bank of South Africa) selected by Global Finance Magazine ranked ninth in this study, whereas the Bank Windhoek Limited, Namibia, ranked first.

The study confirms the applicability of DEA for the banking industry. The model shows variability among the banks’ efficiency and productivity and provides different results to the Global Finance Magazine’s best bank selection. For example, the Standard Bank of South Africa, which is selected as the regional winner, is now ranked ninth under the DEA Malmquist’s total factor productivity.

The study shows that the DEA model can be applied not only for analysing the firm’s efficiency but also for objective rating, ranking and selecting best banks.