关联区域大气污染治理的协作困境、共治体系与数据驱动

Collaborative Dilemma,Co-governance System and Data Drivenness of Air Pollution Governance in Related Areas

大气污染防治是党和国家关心的重要问题,建立共治体系是解决区域大气污染的根本路径。同时,大气污染治理模式的创新也成为环境治理研究的重要议题。基于我国大气污染联防联控的现状,大气污染共治体系建设的症结在于治理边界模糊、主体单一、连接不畅,从而缺乏有效的内生驱动力。四川省大气污染联防联控的实践案例表明,大气污染治理模式的创新方向应为实现从传统型治理体系向数据驱动型治理体系转型。数据驱动型治理体系以数据型专业组织驱动为连接,驱动实施党委领导、政府协调、公众参与的大气污染共同治理模式,从而有利于实现系统化、数据化、多元化的治理目标。

The prevention and control of air pollution is an important issue of concern to the Party and the state. Establishing a system of co-governance is the fundamental solution to regional air pollution.Meanwhile,the innovation of air pollution governance mode has also become an important issue in environmental governance research. In terms of the current situation of joint prevention and control of air pollution,the crux of air pollution co-governance system lies in the blurred boundary of governance,lack of participants,and poor interactions,thus lacking an effective endogenous driving force. The practice of joint prevention and control of air pollution in Sichuan Province shows that the innovation of air pollution governance mode is to realize the transformation from traditional governance system to data-driven governance system. The data-driven governance system is driven by data-based professional organizations to achieve air pollution co-governance under which Party committees exercise leadership,government provides coordination,and the public get involved,thereby achieving a systematic,data-based,and diversified governance goal.