Fang Zhong, Wu Pei-Ying, Lin Yi-Nuo, Chang Tzu-Han, Chiu Yung-Ho
School of Economics, Fujian Normal University, Fuzhou 350007, China.
Department of Applied Foreign Languages, Cheng Shiu University, 840, Chengcing Rd., Niaosong District, Kaohsiung City 83347, Taiwan.
Healthcare (Basel). 2021 Mar 1;9(3):261. doi: 10.3390/healthcare9030261.
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.
在这个经济快速发展的时代，经济活动最终不可避免地会对环境空气质量造成严重破坏，使其成为全球公共卫生的焦点。如果能够提高医疗事故的处理效率，那么这将显著稳定社会并提高生产效率。过去的研究主要集中在工作安全和健康问题上，很少将经济、社会、医疗和环境污染问题放在一起讨论，而且普遍采用静态方法，未能认识到空气污染如何影响整体经济、社会、医疗和外部环境。为了更深入地理解空气污染导致的社会、经济活动和环境问题之间的变化，本研究提出了一种元两阶段非期望动态DDF（方向距离函数），在外生模型下，将中国30个省份划分为高收入地区和中等收入地区，并探索这两个地区之间的经济、社会、医疗和环境效率，以解决相关静态分析的不足。实证结果如下：（1）空气质量指数（AQI）对各地区医疗伤害效率有显著影响。（2）考虑AQI时，高收入地区的医疗保险支出效率得分值低于不考虑AQI时的值。（3）考虑AQI时，中等收入地区工伤保险待遇数量的效率值低于不考虑AQI时的效率值。
