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The purpose of this paper is to evaluate and compare the efficiency ratios and the technological gaps of banking industries in seven countries of the Middle East and North Africa (MENA) region.

The meta-frontier model was used to evaluate efficiency across countries that may have different production technologies.

The results of the meta-frontier analysis of banking systems over the period from 1991 to 2011 showed that Tunisian banks were the most efficient in terms of cost and profit. For the cost (profit) model, the analysis of the technological gap showed that Egyptian (Tunisian) banks used the most advanced technology in offering financial services to clients. The comparison of efficiencies confirmed that most efficient banks in terms of cost are not necessarily the most efficient in terms of profit and vice versa. The authors also concluded that cost efficiency analysis provides a partial view of banking efficiency and hence, profit efficiency analysis is as important.

The study is relevant for policymakers, regulators and monetary authorities and for researchers to know more about the real differences of efficiency of banks across countries in MENA region and to clarify the sources of this inefficiency to better adapt to the new environment, to make strategic decisions and to reference the performance of banking institutions.

The aim of this study is to investigate profit efficiency in the banking industries of 11 Central and Eastern European (CEE) countries for the period 1998‐2005.

The authors employ a directional technology distance function approach to measure profit efficiency and decompose it into its technical and allocative components. They use these efficiency measures to investigate potential differences in banking performance across countries and across banks of different size and with different ownership status.

The results indicate that the highest proportion of profit inefficiency in the CEE region is attributed to allocative inefficiency, recognizing that considerable variation and different patterns in inefficiency levels across banking systems can be observed. Small and domestic private banks appear to be the most efficient. A negative relationship between efficiency and bank size, the capitalization ratio and market concentration, and a positive relationship with the European Bank for Reconstruction and Development index of banking reform are also found.

Bank performance relative to best practice is measured across the CEE region. While it is found that on average technical inefficiency is relatively small and about one quarter of the banks lie on the technological frontier, the size of technical inefficiencies is likely to be exacerbated if the sample were to include Western European banks.

The effects of banking reforms are evident by recent positive trends in profit and allocative efficiencies estimated for CEE banking sectors. These trends suggest that policy makers should intensify efforts to further improve the financial services regulatory and supervisory framework while freeing any remaining explicit or implicit barriers to bank competition.

The study departs from the traditional literature of efficiency. It uses a directional distance function approach to model multi input – multi output banking technology and to investigate profit efficiency in CEE countries.

In this paper, the authors investigate whether the systemic local banking crises (LBCs) and global financial crisis (GFC) impact the association between bank profit efficiency and earnings quality in developing economies.

Using panel data spanning 29 years over the period 1991–2019 for 169 banks drawn from five East African countries, the authors perform difference-in-difference multivariate analyses using the generalised method of moments (GMM) system estimator on a sample consisting of 2,261 bank-year observations.

The results, which are robust for endogeneity and other checks, show that banks with higher profit efficiency consistently report higher quality earnings. The authors further establish that whereas systemic LBCs contribute negatively to bank earnings quality, the GFC tends to have a positive impact. These results are upheld when the joint impacts of both systemic LBCs, GFC and profit efficiency on earnings quality are considered. The positive influence of profit efficiency and GFC on earnings quality is pronounced under income-decreasing earnings management. The impacts of profit efficiency, LBCs and GFC on earnings quality appear to be non-monotonic and vary across the sampled countries.

The study's findings are based on banks in five developing countries within a regional economic bloc. Additional studies could focus on other economic blocs for enhanced generalisability of the findings. In addition, some of the variables examined are studied at bank-level, while other variables are at country-level. Finally, the study establishes an association between the variables of interest, and this does not necessarily imply causation.

The results provide useful insights to bank regulatory and supervisory agencies on the need to exercise increased risk-based scrutiny over bank loan loss provisioning and minimum loan loss reserve requirements. From an audit perspective, auditors need to be cautious and apply an enhanced risk-based audit especially when auditing banks during and after a financial, banking or systemic crisis. Credit rating agencies need to pay closer attention to the LLPs of distressed banks. Finally, bank investors and customers should be cautious when using bank financial statements, since bank managers of poorly performing banks might engage in aggressive earnings management.

The study is perhaps the first to examine the joint effects of systemic LBCs on the association between bank profit efficiency and the quality of earnings in a larger dataset of banks in a developing regional economic bloc. The authors also employ the GMM system estimator in the modelling, which helps address some weaknesses in prior studies.

This paper studies the profit efficiency of a sample of large U.S. commercial banks and explores how this performance varies with selected measures of bank risk reflecting aspects of credit risk, liquidity risk, and insolvency risk. We use a standard profit function and the stochastic frontier approach, and compare two standard functional forms – Cobb‐Douglas and translog – to assess the tradeoff between precision and parsimony. We find that profit efficiency is sensitive to credit risk and insolvency risk but not to liquidity risk or to the mix of loan products.

The purpose of this paper is to examine the empirical effect of competition on cost and profit efficiency in the South African non-life insurance market in a three-stage analysis.

Using annual firm level data on 80 non-life insurance companies from 2007 to 2012, the authors first employ the stochastic frontier analysis (SFA) to estimate cost and profit efficiency scores. In the second stage, the authors measure insurance market competition using the Panzar-Rosse (P-R) H-statistics. In the final stage, the authors estimate a fixed-effects panel regression model which controls for heteroskedasticity to examine the effect of competition on the estimated efficiency scores. Firm size, diversification, age, risk, reinsurance and leverage are employed as control variables.

From the SFA, the authors find average cost and profit efficiency of 80.08 and 45.71 per cent, respectively. This suggests that non-life insurers have high levels of efficiency in cost and low efficiency in profit. The annual estimates of the P-R H-statistics also suggest that firms in the market earn revenues under conditions of monopolistic competition. The authors find a positive effect of competition on cost and profit efficiency to validate the “quiet-life” hypothesis which posits that competition improves efficiency.

Regulatory policies should be directed towards enhancing competition to improve on the low profit earning potential of firms in the non-life market.

To the best of the authors’ knowledge, this study presents the first application of a non-structural measure of competition to examine the empirical relationship between competition and efficiency in insurance markets.

The present study assesses the commercial bank profit efficiency and its relationship to banking sector competition in a rapidly growing emerging economy, India from 2009 to 2019 using stochastic frontier analysis (SFA).

Lerner indices, conventional and efficiency-adjusted, quantify competition. Two SFA models are employed to calculate alternative profit efficiency (inefficiency) scores: the two-step time-decay approach proposed by Battese and Coelli (1992) and the recently developed single-step pairwise difference estimator (PDE) by Belotti and Ilardi (2018). In the first step of the BC92 framework, profit inefficiency is calculated, and in the second step, Tobit and Fractional Regression Model (FRM) are utilized to evaluate profit inefficiency correlates. PDE concurrently solves the frontier and inefficiency equations using the maximum likelihood process.

The results suggest that foreign banks are less profit efficient than domestic equivalents, supporting the “home-field advantage” hypothesis in India. Further, increasing competition drives bank managers to make riskier lending and investment choices, decreasing bank profit efficiency. However, this effect varies depending on bank ownership and size.

Literature on the competition bank efficiency link is conspicuously scant, with a focus on technical and cost efficiency. Less is known regarding the influence of competition on bank profit efficiency. The article is one of the first to examine commercial bank profit efficiency and its relationship to banking sector competition. Additionally, the study work represents one of the first applications of the FRM presented by Papke and Wooldridge (1996) and the PDE provided by Belotti and Ilardi (2018).

The purpose of this study is to evaluate the profit efficiency of decision-making units (DMUs) based on predicted future information to solve the lag problem of improvement benchmarks given by the traditional profit efficiency model.

This paper proposes a two-step profit efficiency evaluation method. The first step predicts the future input and output information of DMUs through the past time-series data, obtaining a likely production possibility set (PPS) and profit frontier for the next period. The second step calculates DMUs' profit efficiency based on the predictions obtained in the first step and provides predictive benchmarking for DMUs.

The empirical results show that the proposed method yields good solutions for the lag problem of benchmarks given in ex-post evaluation, enabling bank managers to use predicted future information to achieve better improvement. Besides, compared with the technical efficiency measure, profit efficiency can better reflect the financial situation of DMUs and give the specific gap between the evaluated and optimal DMU.

For bank managers, the authors' new technique is advantageous for grasping the initiative of development because this technique accounts for the future development of the whole industry and sets forward-looking targets. These advantages can help banks improve in a more favorable direction and improve the asset management ability of banks.

This paper combines the data envelopment analysis (DEA) profit efficiency model with performance prediction and proposes a new two-step profit efficiency model, filling a gap in previous studies.

The purpose of this paper is to analyze the relationship between farm size and agricultural production efficiency from the aspects of output and profit in order to find an optimal farm size that achieves both output and profit efficiency in agricultural production in China.

This study uses the 2012 China Family Panel Studies survey data and employs the stochastic frontier analysis (SFA) models to investigate empirically the relationship between farm size and agricultural production efficiency.

The study finds that there is an inverted-U curve relationship between farm size and output efficiency and a U-shaped curve relationship between farm size and profit efficiency in agricultural production in China. Based on the empirical results, the study estimates that the appropriate farm size is around 10–40 mu and the optimal farm size is around 20–40 mu both in terms of output efficiency and profit efficiency in Chinese agricultural production under the current agricultural technology and land management system.

The findings of this study suggest that appropriate land consolidation will bring more benefits to farmer households and agricultural production efficiency. There are some policy implications. First, governments should give long term and more stable land using rights to farmers through extending the period of land contract and verifying land using rights. Second, governments should encourage transfers of land using rights and promote land consolidation. But the implementation of this policy should consider regional differences and not be used for blindly pursuing increasing land size. Third, land consolidation should be accompanied with the development of specialized agricultural services.

The paper makes two major contributions to the literature. First, the authors use the SFA model to investigate the relationship between land size and agricultural production efficiency. Second, the authors establish two SFA models – the stochastic frontier output analysis model and the stochastic frontier profit analysis model – to estimate the optimal land size to achieve both output and profit efficiency of agricultural production in China.

The study examines the impact of risk on the profit efficiency and profitability of banks in Ghana.

Data envelopment analysis was used to estimate profit efficiency scores and accounting ratios were used to measure profitability. The panel corrected standard error regression was used to assess the nexus using a dataset of 32 banks from 2000 to 2015.

The paper found that the Ghanaian banking industry exhibits a variable return to scale property, suggesting that average costs change with output size. Profit efficiency score for banks closer to the efficiency frontier is 61%. Credit risk is significant in enhancing profit efficiency and return on equity. Market risk is relevant in improving profit efficiency, return on asset and asset turnover. To drive profitability, bank managers have to be committed to effective liquidity risk, insolvency risk and capital risk management. Operational risk reduces shareholders' returns. The impact of size, age, stock exchange listing, cost efficiency and competition have are all been discussed extensively.

The findings contribute to the knowledge on the risk-performance nexus and provide information that is valuable to academics, bankers and regulators for policy formulation. The findings are relevant to the newly established Financial Stability Council.

This paper appears to be among the premier attempts to examine the effect of various risk types identified in the Basel III framework on bank performance in Africa.

This paper aims to investigate the effects of cost, revenue and profit efficiency on bank profitability in an emerging economy such as India over the period 1997 to 2017. Additionally, this study examines the effect of efficiency on profitability across different ownership groups for a panel of 70 Indian commercial banks.

In the first stage, using stochastic frontier analysis, we estimate the efficiency scores of cost, revenue and profit over the examined period. In the second stage, this study uses the two-step system generalized-method of moments dynamic panel approach to investigate the impact of several efficiency measures on bank profitability.

Results estimated through and system generalized-method of moments indicate that a higher level of cost, revenue and efficiency significantly improves India's bank profitability. Regarding ownership groups, this study finds that the public sector banks are most cost-efficient compared to private and foreign banks. Other bank-specific, macroeconomic and institutional variables have played a significant role in determining bank profitability.

The findings of the study extend some important policy implications. In light of the rapid decline in bank profitability, banks should focus on increasing the efficiency of their operations. Improvement in profit, cost and revenue efficiency can ameliorate bank performance significantly. Profit efficiency that takes into account both cost and revenue efficiency should be maintained reasonably to prevent the declining pattern of bank profitability that the industry has witnessed over the years.

To the best of the author's knowledge, this study is a fresh piece of research that fulfils an urgent need of investigating the dynamics between bank efficiency and bank profitability in India. In an emerging economy like India, where the banking sector has witnessed substantial structural transformations over the past two decades, such study demands an immediate empirical investigation.