In this era of rapid economic development, it is inevitable that economic activities eventually cause serious damage to the environment’s air quality, making it the focus of global public health. If the treatment efficiency of medical accidents can be improved, then this can significantly stabilize society and improve production efficiency. Past research has mainly focused on work safety and health issues, seldom discussing economic, social, medical, and environmental pollution issues together, and, most generally, adopted static methods that fail to recognize how air pollution affects the overall economy, society, medical care, and external environment. In order to more deeply understand the changes among social, economic activities, and environmental issues due to air pollution, this study proposes a meta-two-stage undesirable dynamic DDF (Direction Distance Function) that, under an exogenous model, divides the 30 provinces of China into high-income regions and middle-income regions and explores the economic, social, medical, and environmental efficiencies between the two areas to resolve the lack of related static analyses. The empirical results are as follows. (1) The AQI (air quality index) significantly impacts the efficiency of medical injuries in various regions. (2) When the AQI is considered, the medical insurance expenditure efficiency score value of high-income areas is lower than the value without the AQI. (3) When the AQI is considered, the efficiency value of the number of work injury insurance benefits in the middle-income area is lower than the efficiency value without the AQI.

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The Internet of Things has been driving the development of China's transportation industry. This paper used a dynamic direct distance function Data Envelopment Analysis model with internet access as the input index to more comprehensively assess the efficiency and the improvements needed in the application of internet technology in the road transportation industries. It was found that (1) the average total efficiency was higher when the internet influences were considered than when they are not considered. (2) The commercial passenger vehicle, freight vehicle, passenger traffic, and freight volume efficiencies in most provinces were positively affected by the internet.

This study applies resampling data envelopment analyses (DEA) and includes two estimation models: Triangular and Past–Present Models, to explore the operating efficiency of 37 commercial banks in Taiwan from 2014 to 2016. The empirical results are as follows: 1. No matter which models were used, the most inefficient banks from 2014 to 2016 were Bank of PANHSIN. 2. Resample model can more accurately estimate the relative efficiency of the banks than the slacks‐based measure (SBM) model. 3. Based on the Resample model, the empirical results of the SBM model show that the overestimation of the efficiency ranking is more serious.

Accommodation and catering industry efficiencies have been widely evaluated from destination, market concentration, and catering supply chain management perspectives; however, few studies have dynamically evaluated the overall accommodation and catering industry efficiencies under the influence of the internet. Therefore, to go some way to filling this research gap, this study used catering and accommodation industry data and related internet data from 31 Chinese provinces from 2012 to 2016 and employed a Dynamic DDF DEA model to evaluate the catering and accommodation industry efficiencies and the influence of the rising internet connections. It found that: 1. the overall catering and accommodation revenue efficiencies were higher when the internet connection inputs were considered; and 2. there were significant catering and accommodation income distribution differences between the eastern, central and western regions, with higher efficiencies being found in the more developed east.