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This study investigates the interrelationships between efficiency, competition and risk in the Chinese banking industry.

Parametric stochastic frontier analysis is used to estimate bank efficiency; the Lerner index is used as the competition indicator; accounting ratios and a translog function are used to measure different types of risk and finally, the three-stage least square estimator is used to investigate the interrelationships.

The results of this study show that the impact of competition on different types of risk is significant and positive, while there is a significant and positive impact of credit risk, liquidity risk and capital risk on bank competition. In addition, the findings demonstrate that the interrelationships between efficiency and competition are significant and negative. The authors do not find any robust interrelationships between different types of risk and different types of efficiency; the authors find that diversification and higher levels of profitability reduce bank credit risk. The results suggest that a higher developed banking sector reduces the level of bank competition in China.

This is the first piece of research that comprehensively investigates the interrelationships between different types of risk, competition and different efficiencies in China.

This study investigates the interrelationships between competitions in different banking markets and shadow banking for the Chinese banking industry over the period 2003–2017. The current study also examines the determinants of competition in different banking markets and the factors influencing the size of shadow banking.

Bank competition is measured by the Boone indicator, while the relationship between bank competition and shadow banking is examined through a three-stage least square estimator.

The findings suggest that a larger volume of shadow banking leads to a decline in the level of competition in the deposit market, loan market and noninterest income market, while an increase in the level of competition in the loan market, deposit market and noninterest income market leads to an expansion of shadow banking. The authors find that higher bank risk and higher developed of stock market reduce the competitive condition in the loan market, and the competition in the deposit market will be enhanced by higher levels of banking sector development and higher levels of inflation, but bank diversification will reduce the level of competition in the deposit market. The authors further find that higher bank profitability and higher stock market development reduce bank competition in the noninterest income market. Finally, the results show that larger bank size and higher development of stock market reduce the size of shadow banking in China, but higher economic growth increases the size of shadow banking.

This is the first piece of research investigating the relationship between bank competition and shadow banking. This will also be the first piece of research examining the determinants of competition in different banking markets and also the factors influencing the size of shadowing banking in China.

This study aims to test the impacts of risk-taking behaviour, competition and cost efficiency on bank profitability in China.

A two-step generalized method of moments system estimator is used to examine the impacts of risk, competition and cost efficiency on profitability of a sample of Chinese commercial banks over the period 2003-2013.

The paper finds that credit risk, liquidity risk, capital risk, security risk and insolvency risk significantly influence the profitability of Chinese commercial banks. To be more specific, credit risk is significantly and negatively related to bank profitability; liquidity risk is significantly and positively related to return on assets (ROA) and net interest margin (NIM) but negatively related to return on equity (ROE); capital risk has a significant and negative impact on ROA and NIM but a positive impact on ROE; there is a significant and negative impact of security risk on bank profitability (ROA and NIM). It is found that Chinese commercial banks with higher levels of insolvency risk have higher profitability (ROA and ROE). Finally, higher competition leads to lower profitability in the Chinese banking industry, and Chinese commercial banks with higher levels of cost efficiency have lower ROA. In other words, the structure–conduct–performance paradigm rather than the efficient–structure paradigm holds in the Chinese banking industry.

This is the first paper to investigate the impact of different types of risk, including credit risk, liquidity risk, capital risk, security risk and insolvency risk, on bank profitability. This is the first study which uses more accurate measurements of efficiency and competition compared to previous Chinese banking profitability literature and which tests their impact on bank profitability. The findings not only provide a general picture on the risk, efficiency and competition conditions in the Chinese banking industry, but also give valuable information to the Chinese Government and to the banking regulatory authorities to make relevant policies.

The design process of a bio-model involves multiple factors including data acquisition technique, material requirement, resolution of the printing technique, cost-effectiveness of the printing process and end-use requirements. This paper aims to compare and highlight the effects of these design factors on the printing outcome of bio-models.

Different data sources including engineering drawing, computed tomography (CT), and optical coherence tomography (OCT) were converted to a printable data format. Three different bio-models, namely, an ophthalmic model, a retina model and a distal tibia model, were printed using two different techniques, namely, PolyJet and fused deposition modelling. The process flow and 3D printed models were analysed.

The data acquisition and 3D printing process affect the overall printing resolution. The design process flows using different data sources were established and the bio-models were printed successfully.

Data acquisition techniques contained inherent noise data and resulted in inaccuracies during data conversion.

This work showed that the data acquisition and conversion technique had a significant effect on the quality of the bio-model blueprint and subsequently the printing outcome. In addition, important design factors of bio-models were highlighted such as material requirement and the cost-effectiveness of the printing technique. This paper provides a systematic discussion for future development of an engineering design process in three-dimensional (3D) printed bio-models.

This study aims to investigate the hydraulic behaviour of a pilot-scale, two-staged, vertical flow constructed wetland (VFCW) for septage treatment, in terms of factors such as hydraulic retention time and hydraulic loading rate and its influence on the treatment dynamics. Because of intermittent feeding mode of VFCW systems and variation in its loading, its hydraulic behaviour is highly variable and need to be understood to optimize its treatment performance.

Tracer test were carried out using bromide ion with varying hydraulic loading rates (HLR) of 6.82 cm/d, 9.09 cm/d and 11.40 cm/d (i.e. equivalent to 75 L/d, 100L/d and 125 L/d). Tracer data is then analysed using the Residence Time Distribution (RTD) method.

RTD analysis showed that the increase in HLR increases the average hydraulic retention time (HRT). Subsequently, the increase in HLR results in a lower recovery of effluent, resulting in poor productivity in treatment. The study also showed that the removal of nitrogen and organic matter improved with increasing HRT. However, observations show no correlation between HRT and total solids removal.

A performance evaluation method (by tracer) is proposed to understand the hydraulics of flow in constructed wetlands, which has not been widely studied. Additionally, the dynamics of treatment in VFCWs treating septage may also be revealed by the tracer method. The study can be applied to any constructed wetlands designed for treatment of wastewater, septage or sludge.

The purpose of this paper is to investigate the impact of competition on credit risk, liquidity risk, capital risk and insolvency risk in the Chinese banking industry during the period 2003-2013.

This study uses a generalized method of moments system estimator to examine the impact of competition on risk. In particular, translog specifications are used to measure the competition and insolvency risk.

The results show that greater competition within each bank ownership type (state-owned commercial banks, joint-stock commercial banks and city commercial banks) leads to higher credit risk, higher liquidity risk, higher capital risk, but lower insolvency risk.

This paper is the first piece of research testing the impact of competition on different types of risk in banking industry and it further contributes to the empirical literature by using a more accurate competition indicator (efficiency-adjusted Lerner index) and a more precise insolvency risk indicator (stability inefficiency).

This paper investigates the endogenous relationships between banking performance and social welfare in Southern African Development Community (SADC) countries.

A comprehensive three-stage multi-criteria decision-making (MCDM) approach based on alternative informational assumptions is applied.

Results indicate that banking performance is paradoxically associated with stagnant economic activity and higher wealth concentration for the minority. The authors found that SADC banking performance promotes higher Human Development Index (HDI) standards possibly via efficient financial intermediation, dissemination of best managerial practices and other forms of positive spillovers in these countries.

This paper contributes to the MCDM literature by simultaneously exploring the key concepts of “utility functions” (using COPRAS) and “distance to ideal solutions” (using TOPSIS) in mapping and explaining the feedback and cause-effect processes between banking performance and social welfare that may exist. Another distinctive aspect is related to the computation of bias-free criteria weights, using a robust SWARA order-rank based on information entropy. Finally, this paper is concerning the endogeneity measurement, using a novel stochastic structural relationship non-linear programme.

This paper aims to investigate efficiency in the UK hotel industry and further evaluate the impacts of hotel characteristics and industry environment on efficiency.

The network data envelopment (DEA) weak link approach is used for the efficiency analysis, while the determinants of efficiency are evaluated by bootstrapped truncated regression.

The findings show that the UK hotel industry is very inefficient. The results of overall efficiency deconstruction show that the second-stage production process experiences an even lower level of efficiency than that of the first stage. The second-phase analysis shows that both the hotel-specific characteristics and the industry-specific characteristics are significantly related to UK hotel efficiency.

The robustness of the results is affected because a single set of input-intermediate product-outputs and a single DEA method were used. Therefore, further studies can use alternate inputs, intermediate measures and outputs in the efficiency analysis. In addition, the robustness of the efficiency score can be checked using alternate parametric or non-parametric methods.

Hotels in the UK should focus on cost reduction, business diversification, improvement in the capital level and labor productivity, while at industry and macroeconomic level, discounts are recommended to be provided to international tourism and the tourism industry should be further opened.

The weak-link approach has been applied to estimate the efficiency level, as this provides more robust and accurate results compared to other non-parametric methods in the existing empirical studies and unique hotel-specific and industry-specific determinants of efficiency are considered in the second-stage analysis.

The purpose of this paper is to assess the efficiency determinants of mergers and acquisitions (M&A) in the context of Latin American airlines based on business-related variables commonly found in the literature. The idea is to identify preferable potential airline matches in light of fleet mix, ownership structure and geographical proximity.

In order to achieve the objective, all possible combinations of M&A pairs are considered in the analysis, which is developed in a two-stage approach. First, the M&A Data Envelopment Analysis model efficiency and returns-to-scale estimates are computed. Then, robust regression and multinomial logistic regression are respectively used to discriminate these estimates in terms of such business-related variables.

The results reveal that these different contextual variables significantly impact virtual efficiency and returns-to-scale levels. Private ownership, passenger focus and a better match between aircraft size and demand for flights appear to be key drivers for merged airline efficiency.

The study makes theoretical contributions, though limited to analyzing Latin American airlines only. The use of bootstrapped robust/multinominal logistic regression, compared to the methods adopted by previous literature studies, generates more accurate and robust results related to the efficiency drivers due to its special feature and ability to allow the discrimination of increasing, decreasing, and constant returns to scale in light of a given set of contextual variables.

This study examines the pure effect of the merging activity on efficiency gains. Not only private ownership but also a hybrid public–private ownership has a positive influence on virtual efficiency, suggesting an important governmental role in promoting M&A in the airline industry.

The authors present an original take on the issue of airline mergers by exploring what are the major drivers possibly involved in efficiency gains of potentially merged (virtual) airlines. The authors identify preferable potential airline matches where efficiency gains would be positive in light of business-related variables such as fleet mix, ownership structure and geographical proximity. The analysis also includes an assessment of the impact of contextual variables such as cargo type, ownership structure and geographical proximity in relation to the strategic fit of mergers considering the resulting efficiency and returns-to-scale scores of virtually merged airlines. To the authors’ knowledge, no previous research has addressed these issues in Latin American airlines. Further research directions for this industry are also discussed.