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The purpose of this paper is to comparatively examine the cost and the overlooked revenue efficiency of Islamic and commercial banks in the aftermath of the crisis, operating in nine MENA-based countries during the 2010-2017 financial period, where the established empirical work is relatively limited. The authors also update the research where they use recent data sets and they provide for a targeted, structured literature review pre- and post-crisis in the Gulf region.

The authors examine cost and revenue efficiency of 25 major Islamic banks (IBs) and 25 major conventional banks (CBs). They conduct tests on the determinants of such variables. In the first stage of the analysis, they measure efficiency by using the data envelopment analysis (DEA) technique. The analysis performs regressions where these also reveal that the bank efficiency index is influenced by various bank type-specific attributes. It also seems that tighter restrictions on bank activities are negatively associated with bank efficiency. Second stage analysis, which accounts for banking environment and bank-level characteristics, confirms these results.

Conventional banks are both more cost and revenue efficient than Islamic banks over the period under examination. The analysis also reveals that the bank efficiency index is influenced by bank-type attributes. Greater presence of fixed capital resources has positive effects on growth in both Islamic and conventional banking. The major constraints impeding Islamic banking growth include labour costs. The authors examine whether and how bank-type orientation affects the cost and revenue efficiency of conventional and Islamic banks. They find that post-crisis Islamic banks underperform their conventional counterparts on both accounts within a mixed banking system.

This study did not include comparative data before the 2008 financial crisis. There is also a great deal of heterogeneity among Islamic banks in the samples that have been examined here and by other researchers and the constructed efficiency scores should be interpreted cautiously as divergent Islamic banks are pooled in the same samples.

This study identified factors that may help bank managers to improve their financial outlook by controlling revenue and cost efficiency profitability. These factors could as well help to understand how some indicators affect both cost and revenue efficiency, particularly in Islamic banking. It also seems that tighter restrictions on Islamic bank activities are negatively associated with bank efficiency. Islamic banks that directly compete with their conventional counterparts in the aftermath of the crisis are less efficient on both the cost and revenue frontiers. They are potentially hindered by the differential regulations of supervising authorities in dual banking systems.

The authors provide recommendations regarding regulatory and other issues that are relevant to Islamic banking and further research is suggested. Findings are relevant to a variety of stakeholders (managers, policymakers and regulators). Islamic banking authorities could re-examine the benefits of partially moving to a more standardized/conventional system of banking by lifting some trading restrictions. In addition, developing and maintaining managerial skills is an indispensable instrument for the long-term endurance of any system. A related aspect is thus an effort to determine the holistic efficiency (including managerial) of Islamic banks as a guide for policymakers to improve managerial performance.

There is relatively limited empirical work that investigates the efficiency between Islamic and conventional banking in the aftermath of the crisis in the Gulf region despite the growing importance of this region on political and economic levels. The authors also examine the revenue efficiency measure often under-researched in the literature and particularly important for comparative studies. Overseas-owned banks have attained much higher infiltration levels in middle-eastern countries over the past decade. It has also been suggested that market penetration differences may also be related to bank efficiency concerns among countries and their financial systems as opposed to types of banks.

By incorporating the role of nonperforming loans (NPLs), the study aims to assess the impact of global financial crisis (GFC) on the intermediation efficiency of Indian banks for the period of 1998/99 to 2016/17.

To obtain efficiency level of Indian banks, this study applied sequential data envelopment analysis (DEA) based directional distance function (DDF) approach, which performed simultaneous expansion of desirable output and reduction of undesirable output in the bank's loan production structure. Additionally, using fixed effect regression approach in the panel data framework, this study assesses both the phenomenon of σ- and unconditional β-efficiency convergence in public sector banks (PSBs), private banks (PBs), foreign banks (FBs) and overall scheduled commercial banks (SCBs) during the pre-crisis, crisis and post-crisis years in India.

Irrespective of the bank's production model, the evidence suggests that the accounting NPLs as an undesirable output significantly deteriorating the intermediation technical efficiency levels of Indian banks, especially after the crisis years until the last year of the study period. This reflects that Indian banks failed more to achieve their financial intermediation objective in the post-crisis years as compared to the crisis and pre-crisis years. In-depth, statistical evidence of commercial bank ownership groups reveals that public sector banks exhibit a higher level of efficiency in pursuance of traditional loan-based activity followed by private and foreign banks. The study also found the existence of sigma convergence in technical efficiency levels of Indian banks and ownership groups as well.

This study is perhaps the first one, which present the robust evolution of Indian banks intermediation efficiency by taking into account both endogenous (i.e. NPLs as an undesirable output and equity as a quasi-fixed input in the bank production process) crisis and exogenous (i.e. global financial and economic stress) crises. Moreover, none of the existing studies have conducted sub-period wise analysis to show the apparent occurrence of both convergence properties in technical efficiency, adding novelty in the literature.

With the evolution of the turbulent environment constantly triggering the emergence of a trust crisis between organizations, how can university–industry (U–I) alliances respond to the trust crisis when conducting green technology innovation (GTI) activities? This paper aims to address this issue.

The authors examined the process of trust crisis damage, including trust first suffering instantaneous impair as well as subsequently indirectly affecting GTI level, and ultimately hurting the profitability of green innovations. In this paper, a piecewise deterministic dynamic model is deployed to portray the trust and the GTI levels in GTI activities of U–I alliances.

The authors analyze the equilibrium results under decentralized and centralized decision-making modes to obtain the following conclusions: Trust levels are affected by a combination of hazard and damage (short and long term) rates, shifting from steady growth to decline in the presence of low hazard and damage rates. However, the GTI level has been growing steadily. It is essential to consider factors such as the hazard rate, the damage rate in the short and long terms, and the change in marginal profit in determining whether to pursue an efficiency- or recovery-friendly strategy in the face of a trust crisis. The authors found that two approaches can mitigate trust crisis losses: implementing a centralized decision-making mode (i.e. shared governance) and reducing pre-crisis trust-building investments. This study offers several insights for businesses and academics to respond to a trust crisis.

The present research can be extended in several directions. Instead of distinguishing attribution of trust crisis, the authors use hazard rate, short- and long-term damage rates and change in marginal profitability to distinguish the scale of trust crises. Future scholars can further add an attribution approach to enrich the classification of trust crises. Moreover, the authors only consider trust crises because of unexpected events in a turbulent environment; in fact, a trust crisis may also be a plateauing process, yet the authors do not study this situation.

First, the authors explore what factors affect the level of trust and the level of GTI when a trust crisis occurs. Second, the authors provide guidelines on how businesses and academics can coordinate their trust-building and GTI efforts when faced with a trust crisis in a turbulent environment.

First, the interaction between psychology and innovation management is explored in this paper. Although empirical studies have shown that trust in U–I alliances is related to innovation performance, and scholars have developed differential game models to portray the GTI process, building a differential game model to explore such an interaction is still scarce. Second, the authors incorporate inter-organizational trust level into the GTI level in university–industry collaboration, applying differential equations to portray the trust building and GTI processes, respectively, to reveal the importance of trust in CTI activities. Third, the authors establish a piecewise deterministic dynamic game model wherein the impact of crisis shocks is not equal to zero, which is inconsistent with most previous studies of Brownian motion.

The purpose of this paper is to examine the impact of bank regulation and supervision on bank development, efficiency and fragility over the period of 1999-2011.

The authors’ approach is based on a multivariate difference-in-difference model which controls for potential endogeneity of the explanatory variables and unobservable country-specific effect. The paper investigates the changes of bank outcomes and a country’s regulation and supervisory practices, in terms of capital regulation, supervisory power, private monitoring, entry into banking requirements, overall restrictions on bank activities and government ownership of banks in a sample of 53 countries with a total of 482 observations.

Empirical results indicate that greater capital regulatory requirements reduce bank fragility, as measured by lower levels of non-performing loans but reduce bank efficiency, as measured by higher levels of net interest margin; supervisory practices that strengthen private sector monitoring of banks improve bank development, as measured by bank private credit as a share of gross domestic product; lower levels of non-performing loans are associated with greater enter-into-banking requirements and less restrictiveness on bank activities; and greater government ownership of banks is associated with both higher levels of net interest margin and higher levels of non-performing loans. Overall, the findings support Basel II’s first and third pillars: capital requirements and private monitoring.

This cross-country analysis provides evidence on which specific regulatory and supervisory practices work best in light of what was learned from the recent financial crisis.

This longitudinal research examines US symphony orchestra sector organizations to determine individual efficiencies in allocating resources (donations, governmental/private funding, etc.) for desirable outputs (concerts, educational programs, community outreach). It provides researchers and managers with a tool for identifying, assessing and mitigating organizational inefficiencies.

This study assesses relative efficiencies in performing arts organizations using Data Envelopment Analysis (DEA), a widely-used nonparametric data-intensive benchmarking technique that determines an optimal “production frontier” of best-practice organizations among their peers and assesses their abilities to turn multivariate inputs into multivariate desired outputs.

This analysis highlights efficiency differences in a wide range of orchestras in converting available resources into performance-related outputs. It provides individual arts organizations with useful results for developing practical benchmarks to achieve organizational efficiency improvement.

This study provides constructive benchmarking guidance for improving efficiencies of relatively-inefficient organizations. Future analysis can expand the scope to utilize a two-stage DEA model to provide more specific guidance to arts organizations.

This pragmatic analysis enables arts/culture institutions to assess their organizational efficiencies and identify opportunities to optimize resources in producing social outputs for their target markets.

Efficiency improvements enable performing arts organizations to provide additional artistic/social services, with fewer resources, to larger audiences.

This research demonstrates the abilities of DEA analysis to assess both a sector and its individual organizations to determine efficiencies, identify sources of inefficiencies and assess longitudinal efficiency trends.

The motivation for this paper stems from the 2001 financial crisis which emerged in the banking industry and spread over the other industries, creating a domino effect. The purpose of this paper is to examine the market efficiency of Istanbul Stock Exchange (ISE) listed non-financial firms from 2000 through 2002.

A four-stage data envelope analysis (DEA) is developed to measure the performance of firms before and after the 2001 financial crisis. At each stage, production, profitability, marketability and overall efficiencies are measured. Further, Malmquist Productivity Index is applied to compare total factor productivity over time.

The findings show that firms are more efficient at the profitability stage than at other stages. However, the 2001 financial crisis eroded profitability efficiency. Overall, ISE-listed firms experienced diseconomies of scale so that many firms were not able to transform production into sales and therefore earnings efficiently, particularly during the crisis period.

The sample is limited to manufacturing companies. All financial firms are excluded from the sample.

This paper extends the three-stage market value efficiency process outlined in Zhu (2000) by adding production stage. It proposes four-stage DEA approach to measure production, profitability, marketability and overall efficiency of ISE-listed firms. To the best of authors’ knowledge, there has been no study using four-stage DEA approach for Turkish firms.

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 twofold. First, it aims to measure and compare the efficiency change of French, German, Italian, Spanish and UK banking groups in a context of financial crisis, over the period 2006-2010; second, it attempts to analyse the internal and environmental determinants of banking groups efficiency.

In this paper the efficiency is estimated by a two-stage semi-parametric procedure. In the first stage, we build a common production frontier across countries using the data envelopment analysis (DEA) (Debreu, 1951; Farrell, 1957). To further analyse the efficiency changes over years we use the Malmquist total factor productivity index, based on DEA technique. In the second stage, in order to determine the factors that impact on bank efficiency, the authors perform a bootstrapped truncated regression model with discretionary inputs as independent variables, following Simar and Wilson (2007).

The empirical results show that overall the “large” banking groups are more efficient than the “small” ones. However the Malmquist total factor productivity analysis highlights that during the crisis, in particular between 2007 and 2009, unless Britain, in all countries the small banks show a better cost performance than the larger ones. In general, the authors find a moderate efficiency convergence between countries and between large and small banking groups. As regards the determinants of banking groups efficiency, we find that more liquid, less capitalized banking groups and those more oriented towards the traditional activity of lending are more efficient.

The authors find a positive and high statistically significant relationship between both long- and short-term liquidity degree and the cost efficiency of the banking groups. The policy implication of this result is very significative also in the light of the new banking regulation introduced by Basel III that imposes new rules to strengthen the liquidity risk management.

The authors find that the macroeconomic environment variables have some impact on efficiency: the higher the debt and the GDP per capita of the country the lower the bank’s efficiency.

Unlike the most literature on this topic, that usually considers individual banks even if they belong to the same financial conglomerate, the authors analyse only banking groups. In particular, the authors consider all banking groups belonging to the most industrialized European countries in a context of financial crisis and cross-border aggregation movements. Furhermore the authors compare cross-country cost performance of small and large groups, considering the loan loss provisions as an additional input in order to correct the efficiency score for credit risk.

Many banking efficiency studies have focused on conventional banks. Recently, Islamic banks have opened in many countries and operated in similar fashion to traditional banks. This chapter measures and compares Islamic banking efficiency to conventional banking efficiency represented by three European countries – Germany, Turkey and the United Kingdom. The study covers the period from 2005 to 2008 in measuring the X-efficiency using the non-parametric method, known as Data Envelopment Analysis (DEA). It reveals that Islamic banks are technically more efficient than conventional banks but are beset by lower allocative efficiency. This results in lower cost efficiency for Islamic banks in comparison to the more conventional banks in Europe.

This study aims to examine the descriptive capabilities of efficiency, liquidity risk and capital risk for the cross-sectional and time-series variations in banks’ performance across emerging economies (EEs). It also examines the impact of the 2008 global financial crisis (GFC) on the effects of capital, liquidity and efficiency on banks’ performance.

The paper adopts a spatial panel model and collects data across 90 EEs.

The study shows that a surge in efficiency and liquidity improves bank performance. In addition, banks that finance credit creation primarily with core deposits perform better. Also, banks in EEs responded to the GFC. The findings show that banks in EEs respond to global events emanating from the developed economies. This indicates that EEs banks are relatively integrated with banks in developed markets.

Improvement in profit efficiency and effective liquidity and capital risk management enhance the performance of EEs banks.