The current study proposes a new DEA model to evaluate the efficiency of 39 Chinese commercial banks over the period 2010–2018. The paper also, in the second stage, investigates the inter-relationships between efficiency and some bank-specific variables (i.e. bank profitability, bank size, expenses management, traditional business and non-traditional business) under the Robust Endogenous Neural Network Analysis. The findings suggest that the sample of Chinese banks experiences a consistent increase in the level of bank efficiency up to 2015; the efficiency score is 0.915, after which the efficiency level declines and then experiences a slight volatility, while finally ending up with an efficiency score of 0.746 by the end of 2018. We also find that among different bank ownership types, the state-owned banks have the highest efficiency, the rural commercial banks are found to be least efficient and the foreign banks experience the strongest volatility over the examined period. The second-stage analysis shows that bank size exerts a positive influence on the development of non-traditional banking business and a proactive expense management, bank size and non-traditional businesses have a positive impact on efficiency levels, while bank profitability, traditional businesses and expenses management have negative influences on bank efficiency.
Sustainable airline operations have become an increasingly important issue in recent years. With this respect, several initiatives for reducing pollutant emissions—such as carbon dioxide (CO2)—in the airline industry are now under consideration by regulators, policymakers, and companies. The impact of these initiatives upon efficiency levels of airline operations is still being analysed by different authors. This article is focused on the efficiency assessment of 13 major Chinese airlines from 2008 to 2015, applying a modified slack‐based measure model to account for CO2 emissions. The impact of contextual variables related to the airline's age, fleet mix, stock market governance, ownership type, network span, and whether or not it has undergone a previous merger and acquisition process is tested by means of a stochastic non‐linear robust regression approach. Findings suggest that sustainability in Chinese airline operations is dependent upon a number of economic factors such as learning curve, economies of scale, technology type, and network management. Policy implications are derived for Chinese airlines.
In this research, we use Hofstede method and Noble's framework in strategy execution to evaluate the effect of organization culture on the successful implementation of strategies in a case study of Payam-e-Noor University of Iran. Data Collection is performed with the standard Hofstede survey, an evaluation tool for organization culture, and researchers' survey tool to evaluate the effective implementation of strategies. The reliability coefficient was calculated as 0.846 using the Cronbach alpha. The target population includes 600 senior managers of Payame-Noor university of Iran at the time of data collection Cochran formula was used to calculate the required sample number of 120 individuals. The results show that according to the Hofstede dimensions, the dominant cultural aspects of high power distance, uncertainty avoidance, collectivism, and femininity were identified. The first two have a direct influence on effectiveness of strategies. While individualism is known to have an invert effect on effectiveness of strategies, no connection was identified between masculinity and effectiveness of strategies, and thus, this theory was not confirmed in this research.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.