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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 longitudinally assess the technical efficiency and productivity, considering investment projects and technological change, in a second-generation petrochemical company.

The study uses data envelopment analysis (DEA) together with the Malmquist index to measure efficiency during the analysis periods. The working method consists of four main phases, namely development of the conceptual model, construction of the mathematical model, application of model to the case, and analysis of the results. The study utilizes a quantitative approach with descriptive goals seeking to evaluate the impacts of technical changes on the operational efficiency and productivity of the production process.

The use of DEA associated with the Malmquist index proved to be viable for analyzing a single company and identifying efficiency improvements, as well as the impacts of the learning process and the implementation of improvement projects. However, the results of the improvement projects and learning process were not representative and had no statistical significance on the actual change in efficiency of the company during the periods analyzed. For the case in question, the learning process and continuous improvement were not observed during all study periods.

The proposition that the improvement projects and investments implemented increased the efficiency of the company was rejected. Hence, with this work, it was possible to determine that the company unnecessarily invested resources in projects to increase efficiency. Furthermore, the company could have explored more internal resources before making significant investments in increased efficiency.

As for the value of this research in the theoretical and academic scope, this paper advances knowledge on the application of DEA because it proposes to establish an internal reference benchmarking for comparison. The literature contains few studies that analyze organizations using continuous processes, such as petrochemical processes, in longitudinal studies as a function of time, especially with the use of DEA.

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.

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.

The purpose of this work is twofold: on the one hand, recent methodologies will be used to estimate efficiency and productivity in Spain's non‐specialized retail sector for the period of 1997‐2007. In particular, the order‐m approach proposed by Cazals et al., which is based on the concept of expected minimum input function. On the other hand, the results obtained applying the methods mentioned in the Spanish retail sector can contribute to opening up a new field of analysis since the results may be compared by means of the methodologies proposed as well as those which already exist in the literature.

The paper used data envelopment analysis stochastic (order‐m) and bootstrapping Malmquist index to measure productivity and efficiency in 12 sectors in Spanish retail trade 1997‐2007.

In order to illustrate the methodology proposed in this paper different phases involved; first, we have estimated the efficiency in 12 sectors of the retail sector four digits NACE, we found high levels of inefficiency in most of the sectors analyzed over the period of analysis. Next, we will deepen and simplify the analysis by concentrating on food‐predominant sectors in non‐specialised shops (5211). The evolution of the efficiency of firms belonging to this sector decreases over the period of analysis. Analyzing the relationship between firms and size, the results obtained in this work shows that the firm's size have a positive influence on efficiency that suggest that the management may have incentives to grow in order to improve their efficiency levels. Our second contribution has to do with the use of bootstrapping Malmquist productivity indices. Productivity decreased at an average rate of −4.1 percent over the entire period of 1997‐2007. On average, this deterioration was due to efficiency change −6.1 percent. Technical progress is increased at an average rate of 2.1 percent. All rates at global level are statistically significant at 95 percent.

The main contribution of this paper is to provide an efficiency analysis using a non‐parametric approach with a robust estimator that has been suggested recently by Cazals et al. This methodology is that the first time that is applied in the analysis of retail sector. In addition, we analyze productivity growth using bootstrapping Malmquist indices. This methodology allows for a more careful analysis of what happens at firm level. Differences in conclusions between the original estimates and the bootstrap results are more evident when we scrutinize the sample firms and individual levels.

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 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.

The purpose of this paper is to investigate the efficiency and productivity growth of the Iranian banking industry between 2003 and 2008, encompassing pre‐ and post‐2005‐reform years.

The study uses a new decomposition of the Hicks‐Moorsteen total factor productivity index developed by O'Donnell to analyse efficiency and productivity changes in a banking context. The advantage of this approach over the popular constant‐returns‐to‐scale Malmquist productivity index is that it is free from any assumptions concerning firms' optimising behaviour, the structure of markets, or returns to scale. The paper assumes that the production technology exhibits variable returns to scale.

The banking industry's technical efficiency level – which had improved between 2003 and 2006 – deteriorated after regulatory changes were introduced in Iran. The results obtained also show that during 2006‐2007, the industry's total factor productivity increased by 32 per cent. However, the industry experienced its highest negative scale efficiency rate of 38 per cent (ΔROSE=0.62) and its highest negative efficiency growth of 43 per cent (ΔEff=0.57) during this period. The industry also witnessed a strong drop in productivity in 2007‐2008. Overall, changes in the production possibility set and scale‐efficiency changes exerted dominant effects on productivity changes.

This study is the first to use a comprehensive decomposition of the Hicks‐Moorsteen TFP index to analyse efficiency and productivity changes in a banking context.