No abstract

Our study indicated that a higher education level, smoking, alcohol consumption and history of gallstones may be potential risk factors for AP in the elderly in northeast China.

In the context of economic transformation and upgrading and ecological civilization construction, green technology innovation is an inevitable choice for enterprises’ sustainable development. Can environmental regulation effectively promote enterprises’ green technological innovation and achieve a win–win economic growth and environmental protection situation? This paper uses evolutionary game theory and numerical simulation to analyze the influence mechanisms of command-control, market-incentive and social-will, three environmental regulation tools and different combinations of environmental regulation tools on green technology innovation behavior of new energy enterprises. The study found: (1) The effects of three types of environmental regulation tools on green technological innovation of new energy enterprises are different, in which market-incentive environmental regulation policies play the most significant role, followed by command-control environmental regulation and social-will environmental regulation tools are not very obvious. (2) Implementing a separate environmental regulation policy has a poor effect on stimulating green technology innovation of new energy enterprises. If two environmental regulation means are implemented, the combination of command-control and market-incentive environmental regulations is the most effective. (3) Combining the implementation of three environmental regulation means of high-intensity market-incentive, high-intensity command-control and low-intensity social-will is the best strategy combination, which can motivate new energy enterprises to become stable for the green technology innovation strategy in the shortest time.

The outbreak of the COVID-19 pandemic has brought several challenges to China's national health services, causing great risks and uncertainties to people's lives. Considering China's huge population and relatively small medical investment and its good performance in the COVID-19 pandemic, this research utilizes the hybrid meta-frontier model to analyze health expenditure efficiencies of 30 provinces in China from 1999 to 2018 and compares spatial and temporal differences of the efficiencies in regards to regional forward position and national common frontier. The results show an obvious difference in health expenditure efficiency in different provinces along the regional frontier, in which the efficiency gap in the eastern region is the largest. Moreover, the room for improvement in health expenditure efficiency varies from region to region. For the national common frontier, Beijing is the most efficient, while Guizhou is the least. The eastern region owns the most efficient technical level of health expenditure efficiency, and there is a large efficiency distance between it and the western region. The findings offer effective guidance for elevating the expenditure structure and spatial resource allocation of public health and for promoting the equalization of high quality basic medical services.