School of Management Engineering, Xuzhou University of Technology, Xuzhou, China.
School of Economics and Management, China University of Mining and Technology, Xuzhou, China.
Front Public Health. 2024 Jul 18;12:1417490. doi: 10.3389/fpubh.2024.1417490. eCollection 2024.
With the frequent occurrence of public health events, the government inevitably makes many mistakes in emergency management. In modern emergency management, it is particularly important to promote the diversification of emergency management subjects and improve the government's emergency management ability.
In order to make up for the deficiency of government's participation in public health emergency management, this paper analyzes the driving factors and driving effects of enterprises' participation in public health emergency response under the background of digital city. A fully explained structural model is used to analyze the relationship between the different drivers. In addition, the spatial and temporal distribution characteristics of public health events were analyzed through spatial auto-correlation. On this basis, the government cooperative governance strategy is discussed.
The results show that in the context of digital cities, there are 14 driving factors for enterprises to participate in public health emergency response. The most important factors are the company's own development needs, relative technical advantages and so on. The driving efficiency is mainly concentrated in three aspects: psychology, resources and structure. Public health events have periodicity in time distribution and regional differences in spatial distribution. The significance of this study is to help the government improve the emergency management ability from different angles.
随着公共卫生事件的频繁发生,政府在应急管理中不可避免地会犯许多错误。在现代应急管理中,促进应急管理主体多元化,提高政府应急管理能力尤为重要。
为了弥补政府参与公共卫生应急管理的不足,本文在数字城市背景下分析了企业参与公共卫生应急响应的驱动因素及其驱动效应。采用完全解释结构模型分析了不同驱动因素之间的关系。此外,还通过空间自相关分析了公共卫生事件的时空分布特征。在此基础上,探讨了政府协同治理策略。
结果表明,在数字城市背景下,企业参与公共卫生应急响应有 14 个驱动因素。最重要的因素是公司自身的发展需求、相对技术优势等。驱动效率主要集中在心理、资源和结构三个方面。公共卫生事件在时间分布上具有周期性,在空间分布上存在区域差异。本研究的意义在于帮助政府从不同角度提高应急管理能力。