【作者】 徐玮；

【导师】 王法硕；

【作者基本信息】 华东师范大学 ， 公共管理硕士（专业学位）， 2022， 硕士

【摘要】 危险化学品行业具有重大安全风险隐患集中、事故后果严重、安全与发展不平衡不充分矛盾突出等问题,始终备受国家重视。上海市作为特大城市,危险化学品生产量、流通量居高不下,安全风险高度聚集。上海市政府始终高度重视数字化、网络化、智能化对城市安全监管的引领作用,搭建了上海市危险化学品全过程监管平台一期。但在具体实施过程中,跨部门数据共享难已成为上海市危险化学品数字监管体系建设的主要阻力之一。本文在文献研究的基础上,基于协同治理SFIC模型和数字治理理论,构建了上海市危险化学品政府监管中跨部门数据共享的分析框架,综合运用了文献研究法、案例分析法以及深度访谈法,对上海市危险化学品政府监管中跨部门数据共享相关问题开展了实证研究。首先,本文结合优化后的SFIC模型,从基础条件(S)、催化领导(F)、制度设计(I)和协同过程(C)等四个关键要素上,对上海市危险化学品政府监管中跨部门数据共享的现状进行了总结分析。其次,结合对参与此次跨部门数据共享的人员深度访谈和案例研究,本文深入探究了上海市危险化学品政府监管中跨部门数据共享存在的问题与原因,主要包括共享主体多层次失衡影响信任构建、三种数据共享源流催化领导力不足、部门条块分割弱化共享动力源流、旧有数据共享模式阻碍方案达成、数据共享制度不完善无法保障共享成效等。最后,针对目前存在的问题,本文从完善基于数据共享的危化品监管职责体系、构建央地协同的危化品政务数据共享框架、打造适应危化品监管的跨部门数据共享创新模式、建立健全危化品监管跨部门数据共享体制机制等方面提出了进一步推进上海市危险化学品政府监管中跨部门数据共享的对策建议。本文对于促进危险化学品政府监管中跨部门数据共享具有一定现实意义,也能为上海市政府跨部门数据共享,乃至全国其他省市跨部门数据共享工作提供一定借鉴和参考。更多还原

【Abstract】 The hazardous chemical industry has a concentration of major safety risks and hazards,serious consequences of accidents,and outstanding contradictions between safety and unbalanced and insufficient development,and has always been a matter of national importance.As a mega-city,Shanghai has a high production and distribution volume of hazardous chemicals and a high concentration of safety risks.The Shanghai Municipal Government has always attached great importance to the leading role of digitalization,networking and intelligence in urban safety supervision,and has built the first phase of Shanghai’s full-process supervision platform for hazardous chemicals.However,in the process of concrete implementation,the difficulty of cross-departmental data sharing has become one of the main resistance to the construction of Shanghai’s digital regulatory system for hazardous chemicals.Based on literature research,this paper constructs an analytical framework for cross-sector data sharing in Shanghai’s government supervision of hazardous chemicals based on the collaborative governance SFIC model and digital governance theory,and conducts an empirical study on issues related to cross-sector data sharing in Shanghai’s governmental supervision of hazardous chemicals using a combination of literature research method,case study method and in-depth interview method.Firstly,this paper summarizes and analyses the current situation of cross-sector data sharing in Shanghai’s government regulation of hazardous chemicals in terms of four key elements,including Starting Conditions(S),Facilitative Leadership(F),Institutional Design(I)and Collaborative Process(C),in conjunction with the optimized SFIC model.Secondly,combined with in-depth interviews and case studies of the participants in this cross-sector data sharing exercise,this paper explores the problems and causes of cross-sector data sharing in Shanghai’s hazardous chemicals government regulation,including the imbalance of multi-level sharing subjects that affects the building of trust,insufficient catalytic leadership in the three data sharing sources,the fragmentation of departments that weakens the sharing power sources,the old data sharing model that hinders the achievement of solutions,and the imperfect data sharing system.Finally,in view of the existing problems,this paper proposes countermeasures to further promote cross-department data sharing in Shanghai’s governmental supervision of hazardous chemicals in terms of improving the system of responsibilities based on data sharing,constructing a framework for sharing data on hazardous chemicals governmental affairs in collaboration with the central government and the local government,creating an innovative model of cross-department data sharing adapted to the supervision of hazardous chemicals,and establishing a sound institutional mechanism for cross-department data sharing in the supervision of hazardous chemicals.This paper is a good example of how to promote cross-sector data sharing in governmental regulation of hazardous chemicals in Shanghai.This paper has certain practical significance for promoting cross-sector data sharing in governmental regulation of hazardous chemicals,and can also provide certain references for cross-sector data sharing in Shanghai government and even in other provinces and municipalities nationwide.更多还原