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The application of hydrogen plasma on corroded steel and excavated iron artefacts has been studied. Transformations of the corrosion layer due to the plasma effect were investigated by means of X‐ray diffraction analysis. The reduction of iron oxides to the stable iron oxide, magnetite, was observed for all the samples. In the case of excavated objects, the reduction to magnetite did not occur throughout the whole of the bulk of the oxides, as it does (for example) in the case of steel corroded in the laboratory. Nevertheless, excavated objects, in which a metallic core remained, were stabilised against subsequent corrosion. However, objects that are completely oxidised must be treated carefully, because treatment may result in the formation of a brittle outer layer, and there is a risk of disintegration of such items, if treated using the plasma conditioning and restoration procedure.

This chapter examines the impact of banking competition, bank regulation, and the global financial crisis (GFC) of 2008–2009 on banks’ productivity changes. For the empirical analysis, I apply a semi-parametric two-step approach of Malmquist index estimates and bootstrap regression to a cross-country panel data of 8,451 commercial banks from 82 countries over the period 2004–2012. Empirical results show that (1) banking competition and capital regulation significantly enhance bank productivity, (2) a tighter bank supervision have a positive impact on bank productivity, and (3) bank productivity decreases during the GFC, but starts to increase as the GFC recovers. I also present consistent evidence that commercial banks in countries with better national governance have higher productivity growth before, during and after the GFC.

Based on a matched sample of 34 Islamic banks and 89 conventional ones, the purpose of this paper is to analyze and compare the risk-capital-efficiency interconnection.

Based on the triple square model (3SLS), two major risk measures have been accounted for, namely, the ratio of non-performing loans to total loans (credit risk) and the z-score indicator (risk insolvency). In addition, certain bank-specific factors as well as macroeconomic ones have also been considered in the model.

The reached results appear to reveal that the best capitalized Western banks turn out to be more engaged in an excessive risk-taking behavior, resulting in increased toxic-loan ratios and, simultaneously, a rather shaken stability. Concerning Islamic banks, cost efficiency has proven to have a negative and significant effect on NPLs. However, the capital, technical efficiency, competitiveness and macroeconomic factors turn out to have a significant and positive effect on Islamic banks’ insolvency risk, thus helping promote these banks’ stability.

In addition to the enrichment of literature regarding dual-banking systems, the authors hope the present work would provide a modest contribution to the regulators belonging to the MENA region and Asia with useful results. In particular, the authors recommend developing some management and monitoring tools whereby the risk-taking behavior of highly capitalized conventional banks could be moderated. As a matter of fact, special attention should be paid to the agency problems prevalent within Islamic financial institutions, particularly the best capitalized ones.

The main purpose of this study is to evaluate the probability of default and examine the relationship between default risk and financial performance, with dynamic panel moderation of firm size.

This study utilizes a total of 1,500 firm-year observations from 2013 to 2018 using dynamic panel data approach of generalized method of moments to test the relationship between default risk and financial performance with the moderation effect of the firm size.

This study establishes the findings that default risk significantly impacts the financial performance. The relationship between distance-to-default (DD) and financial performance is positive, which means the relationship of the independent and dependent variable is inverse. Moreover, this study finds that the firm size is a significant positive moderator between DD and financial performance.

This study provides new and useful insight into the literature on the relationship between default risk and financial performance. The results of this study provide investors and businesses related to nonfinancial firms in the Pakistan Stock Exchange (PSX) with significant default risk's impact on performance. This study finds, on average, the default probability in KSE ALL indexed companies is 6.12%.

The evidence of the default risk and financial performance on samples of nonfinancial firms has been minimal; mainly, it has been limited to the banking sector. Moreover, the existing studies have only catered the direct effect of only. This study fills that gap and evaluates this relationship in nonfinancial firms. This study also helps in the evaluation of Merton model's performance in the nonfinancial firms.

This paper aims to investigate the productivity behavior of Indian banks in the presence of non-performing assets (NPAs) over the period 1999 to 2017. The study examines whether Indian banks withstand the shocks of the global financial crisis (GFC) of 2007–2009 and sustain their total factor productivity (TFP) levels in the post-crisis economic turbulent period or not.

The robust estimates of TFP and its components: efficiency change and technical change are obtained using the state-of-the-art and innovative sequential Malmquist-Luenberger productivity index (SMLPI) approach. The key advantages of this approach are that it explicitly allows the joint production of undesirable output (NPAs in our case) along with desirable inputs and outputs in the production process and precludes the possibility of spurious technical regress.

The empirical results of the study reveal that the Indian banking system has experienced a (−1) percent TFP regress, contributed solely by efficiency loss during the period under investigation. The GFC has slowed down the growth trajectory of TFP growth in the Indian banking industry. Among ownership groups, the effect of the GFC was pronounced on the public sector banks.

The practical implication drawn from the study is that the Indian banks have not been able to successfully transmit the use of installed technology in a way to generate early warning signals and mitigate the risk of defaults so as to maximize their productivity gains in the banking industry.

This study is perhaps the first one to understand the productivity dynamics of the Indian banks in response to both endogenous (i.e. NPA crisis) and exogenous (i.e. global financial and economic stress) crises. Moreover, the authors obtain the robust estimates of TFP growth of Indian banks by explicitly accounting for NPAs as an undesirable output and equity as a quasi-fixed input in the bank production process.

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.

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 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.

The purpose of this paper is to present a stochastic p-robust data envelopment analysis (DEA) model for decision-making units (DMUs) efficiency estimation under uncertainty. The main contribution of this paper consists of the development of a more robust system for the estimation of efficiency in situations of inputs uncertainty. The proposed model is used for the efficiency measurement of a commercial Iranian bank.

This paper has been arranged to launch along the following steps: the classical Charnes, Cooper, and Rhodes (CCR) DEA model was briefly reviewed. After that, the p-robust DEA model is introduced and then calculated the priority weights of each scenario for CCR DEA output oriented method. To compute the priority weights of criteria in discrete scenarios, the analytical hierarchy analysis process (AHP) is used. To tackle the uncertainty of experts’ opinion, a synthetic technique is applied based on both robust and stochastic optimizations. In the sequel, stochastic p-robust models are proposed for the estimation of efficiency, with particular attention being paid to DEA models.

The proposed method provides a more encompassing measure of efficiency in the presence of synthetic uncertainty approach. According to the results, the expected score, relative regret score and stochastic P-robust score for DMUs are obtained. The applicability of the extended model is illustrated in the context of the analysis of an Iranian commercial bank performance. Also, it is shown that the stochastic p-robust DEA model is a proper generalization of traditional DEA and gained a desired robustness level. In fact, the maximum possible efficiency score of a DMU with overall permissible uncertainties is obtained, and the minimal amount of uncertainty level under the stochastic p-robustness measure that is required to achieve this efficiency score. Finally, by an example, it is shown that the objective values of the input and output models are not inverse of each other as in classical DEA models.

This research showed that the enormous decrease in maximum possible regret makes only a small addition in the expected efficiency. In other words, improvements in regret can somewhat affect the expected efficiency. The superior issue this kind of modeling is to permit a harmful effect to the objective to better hedge against the uncertain cases that are commonly ignored.

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.