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The study examines the effect of macroeconomic risk, inflation uncertainty and instability associated with key macroeconomic indicators on the efficiency of financial institutions among economies in sub-Saharan Africa (SSA).

Data for the empirical inquiry were compiled from 35 SSA economies from 1996 to 2019. The empirical estimates were carried out using pooled ordinary least squares (POLS) with Driscoll and Kraay’s (1998) standard errors.

Reported empirical estimates show that macroeconomic risk and exchange rate volatility constrain the efficiency of financial institutions. Further results suggest that inflation uncertainty has a significant influence on the efficiency of financial institutions among economies in the subregion. Additionally, reviewed empirical estimates show that institutional quality positively moderates the nexus between inflation uncertainty and financial institution efficiency. At the same time, political instability is found to worsen the adverse effect of macroeconomic risk on the efficiency of financial institutions.

For policymakers and governments, improved institutional structures are recommended to ensure the operational efficiency of financial institutions, especially during an inflationary period. For decision-makers among financial institutions, the study recommends policies that have the potential to make their institutions less vulnerable to macroeconomic risk and exchange rate fluctuations.

The approach adopted in this study differs significantly from related studies in that the study examines and reviews interactions and relationships not readily found in the reviewed literature.

This study examines dynamics of global and regional financial market efficiency; and how specific features of the market and other conditions influence variability in such efficiency.

The study employs fixed effects statistical approach in its examination of how specific features of financial markets influence variability in its efficiency.

This study finds that individual IMF defined economic regions tend to exhibits significantly different financial market efficiency characteristics given specific market features and conditions. In regional level comparative analysis (e.g. Europe, Africa, Asia–Pacific etc.) this study finds that incidence of financial market uncertainty is the dominant condition with significant effect on financial market efficiency across all the IMF regions. In the global level analysis, empirical estimates presented suggest that financial market uncertainty, financial institutional depth and financial institutional efficiency tend to have significant positive influence on global financial market efficiency all things being equal. In the same analysis however, this study finds that financial market and financial institutional access growth has significant negative impact on financial market efficiency.

The uniqueness of this study compared to related ones found in the literature stems from its focus on financial market efficiency at the global, and IMF defined regional block level instead of on a specific economy as often found in the literature. Additionally, in contrast to other related studies, this study further examines the role of global financial market uncertainty in its financial market efficiency analysis. Financial market uncertainty variable may be unique to this study because the variable is derived through an econometric process from a base variable.

This paper evaluates how institutions of governance and macroeconomic uncertainty influence efficiency of financial institutions in the subregion of Sub-Saharan Africa (SSA). Data for the empirical inquiry were compiled from relevant sources for 33 countries in the subregion from 2002 to 2019. Empirical estimates verifying hypothesized relationships were carried out using the continuous updating estimator (CUE) by Hansen et al. (1996).

The purpose of this paper is to evaluates how institutions of governance and macroeconomic uncertainty influence efficiency of financial institutions in the subregion of Sub-Saharan Africa (SSA). Data for the empirical inquiry were compiled from relevant sources for 33 countries in the subregion from 2002 to 2019. Empirical estimates verifying hypothesized relationships were carried out using the continuous updating estimator (CUE) by Hansen et al. (1996).

The results suggest that institutional quality has significant positive effect on financial institution efficiency, supporting the view that improved and supportive structures of governance tend to promote operational efficiency among financial institutions among economies in SSA. In addition, improvement in individual governance indicators such as corruption control, government effectiveness, regulatory quality and rule of law was also found to support or enhance efficiency of financial institutions among economies in the subregion. Macroeconomic uncertainty on the other hand is found to impede efficiency of financial institutions; the same condition (macroeconomic uncertainty) is further found to negate any positive impact corruption control, government effectiveness, regulatory quality and rule of law have on operational efficiency among financial institutions in the subregion.

Unlike most of related studies, this study adopts a different approach on the dynamics of financial institutions. Approach pursued in this empirical inquiry examines how the regulatory environment within which financial institutions operate, the form of governance and the quality of government institutions influence efficiency of financial institutions among emerging economies in Sub-Sahara. Empirical analysis conducted examines effects of variables that are unique to this study; these variables are either constructed or econometrically derived specifically for various interactions verified in the study. For instance, institutional quality variable is an index constructed specifically for this study using principal component analysis approach.

This is the application of the Entropy and TOPSIS model to assess the eco-efficiency of European financial institutions using environmental, social, and governance (ESG) strategies. The aim is to categorize financial institutions based on key factors such as environmental training and management and to examine the alignment between ideal ESG performance and eco-efficiency.

The study uses environmental, social, and governance (ESG) strategies to identify and categorize eco-entrepreneurs in European financial institutions. The study utilizes data to examine the structure between environmental training, effective management practices, and the green performance of financial institutions.

The study shows that European financial institutions exhibit varying degrees of eco-efficiency as assessed using the Entropy and TOPSIS model applied to ESG strategies. Surprisingly, the study found that institutions with a high ESG performance do not always match those with the highest eco-efficiency.

They emphasize the need for financial institutions to align their operations with sustainable practices. This research provides insights to increase eco-efficiency and improve the ESG performance of financial institutions. It also informs policy and decision-making in these institutions in relation to environmental training and management practices, contributing to the wider dialogue on sustainable finance.

This indicates a discrepancy between ESG ratings and actual eco-efficiency, emphasizing the need to reassess the ESG framework. The study findings are crucial for aligning financial institutions with sustainable practices and improving the effectiveness of the ESG framework, especially for institutions at the lower end of the eco-efficiency spectrum.

This paper seeks to explore empirically the relationships between efficiency, financial performance and customer service quality among a representative cross‐section of Australian banks and credit unions and the correlations between these categories of measures. In particular, it seeks to explore the strength of the relationship between efficiency, financial performance and service quality. Results show that all financial performance measures (interest margin, expense/income, return on assets and capital adequacy) are positively correlated with customer service quality scores. In contrast, the absence of a consistently positive relationship between efficiency and financial performance suggests that financial institutions that pursue improved financial performance through the single‐minded pursuit of lower costs may be fundamentally misguided.

The purpose of this study is to evaluate whether focus on social output affects the efficiency of MFIs. Inclusive growth is the key developmental aim for many developing countries, including India. The role of microfinance institutions (MFIs) in promoting financial inclusion is widely applauded. However, to achieve financial sustainability, MFIs have become highly commercialised and are seen to have drifted away from their social mission. Various studies have shown the efficiency of MFIs on financial parameters. MFIs being a social enterprise, it is important to include social output among the efficiency parameters.

This study attempts to compare the efficiency of MFIs with and without social performances across the various size of MFIs based on their asset, i.e. large, medium and small. This study uses Data Envelopment Analysis (DEA) for assessing an MFI’s efficiency. For calculating the social output score, the Gutman Scale is used. Efficiency is calculated with and without social output, and the resulting scores are compared to assess the impact of social performance on the efficiency of MFIs.

The results of this study allow us to conclude that with the inclusion of social output, the efficiency of MFIs improves across various categories. In terms of social performances, it is concluded that MFIs are targeting women and mostly working in rural areas but have neglected issues like health and education.

The findings of this study will help MFIs in formulating their mission and vision statements and in achieving the objective of financial inclusion without experiencing mission drift.

Microfinance institutions (MFIs) play a significant role in society to help low-income consumers that liaise with sustainable development goals. Therefore, the purpose of this paper is to examine the effects of two economic freedom components, namely, regulatory efficiency on business freedom and monetary freedom; and market openness on investment freedom and financial freedom. Their influence on the efficiency of MFIs in both social and financial ways is examined.

This study collected a total of 88 MFIs from Thailand and the Philippines for the years 2011 to 2017. The data envelopment analysis approach has been used to measure the MFIs’ efficiency level. Then, the ordinary least squares and generalised least square estimation methods serve to analyse the effects of economic freedom and other determinants on efficiency.

The results show that overall MFIs operate at an encouraging level. However, they were managerially inefficient when exploiting resources to achieve both social and financial efficiency. Therefore, MFIs should focus more on managerial operations to improve the level of efficiency. Results from panel regression analysis showed a mixed outcome for the relationship between economic freedom and MFIs’ efficiency both financially and socially. This suggested that different freedoms will result in different outcomes and significantly influence MFIs’ financial and social efficiency.

Regulatory efficiency and market openness are the vital aspects of economic freedom components that may significantly influence MFI’s performance specifically on social and financial efficiency. This study fills the research gap by examining the relationship between economic freedom components and specific MFIs’ social and financial efficiency, to ensure MFIs work to achieve sustainable development goals.

Reviews previous research on the efficiency and performance of financial institutions and uses Siems and Barr’s (1998) data envelopment analysis (DEA) model to evaluate the relative productive efficiency of US commercial banks 1984‐1998. Explains the methodology, discusses the input and output measures used and relates bank performance measures to efficiency. Describes the CAMELS rating system used by bank examiners and regulators; and finds that banks with high efficiency scores also have strong CAMELS ratings. Summarizes the other relationship identified and recommends the use of DEA to help analysts and policy makers understand organizations in greater depth, regulators and examiners to develop monitoring tools and banks to benchmark their processes.

The purpose of this paper is to discover the most important productivity determinants of Yemeni microfinance institutions. In addition, this study tests the most appropriate tool to measure productivity in such unique industry.

The authors applied data envelopment analysis (DEA) with the variable return to scale after testing the technology return to scale assumption. Then, they used DEA with bootstrapping technique to overcome the borne biasness in the conventional DEA analysis. Finally, the authors presented the Hicks–Moorsteen (total factor productivity [TFP]) as the most suitable tool for the technology presented in this study.

In this paper, the authors found a prolonged deterioration in the productivity scores of microfinance institutions in Yemen. This study highlights the importance of operating in rural areas to improve micro finance institutions’ (MFIs’) productivity. In contrast, they found no significant differences in productivity, neither between microfinance banks and non-governmental organizations nor between Islamic and non-Islamic MFIs.

This study extends previous research in the area of productivity and its determinants. It also adds to the body of productivity knowledge and methodology within the context of the microfinance industry in Yemen.

The study discovered new productivity determinants and re-assessed the importance of some already known ones. These determinants have been studied for the first time in Yemen’s microfinance industry and have contributed to answer the question of what is the most suitable productivity method that should be used. This study proved that the Hicks–Moorsteen TFP and the variable return to scale assumption are the only suitable methods to study productivity in the microfinance industry.

The purpose of this paper is to investigate the role of institutional developments – market economy, financial deepening, private sector, property rights and rule of law – affecting the bank efficiency in China.

First, profit efficiency and cost efficiency scores of banks at the firm‐year level were estimated using a stochastic efficiency frontier approach. Then the results were aggregated at the regional level. Regional differences in the timing and extent of the institutional developments impacting bank efficiency were exploited.

It was observed that most institutional variables play an important role in affecting bank efficiency and additionally banks tend to operate more efficiently in those regions with greater presence of private sector and more property rights awareness.

The data on a number of important institutional variables such as property rights and rule of law are not easily available or importantly do not vary that much across years. However, based on whatever information available, it is apparent that institutional development is crucial to bank performance and also eventual economic growth.

This paper is believed to be the first attempt to empirically examine the role of institutional factor affecting bank efficiency especially in a transition country.