嵌入式协同视角下减污降碳协同增效:现实困境、生成逻辑与实现路径

Synergistic Efficiency of Pollution Reduction and Carbon Emission Reduction from an Embedded Collaboration Perspective: Practical Dilemmas, Generation Logic, and Implementation Paths

  • 摘要: 减污降碳协同增效是实现“双碳”战略目标的重要举措,是推进人与自然和谐共生的关键抓手。针对减污降碳协同增效的内涵进行拆分解读,从理念共识、政策工具、技术创新、体制机制四个方面分析减污降碳协同增效面临的现实困境。从嵌入式协同视角出发,构建“多维性嵌入-功能性协同”分析框架,探索减污降碳协同增效的生成逻辑,即通过目标嵌入实现多元目标统合,通过制度嵌入实现多元政策并用,通过主体嵌入实现多元主体参与,通过技术嵌入实现数智赋能。从目标层、制度层、主体层和技术层提出嵌入价值共识、形成政策组合体系、构建多元共治模式、赋能数智技术的实现路径,以期为减污降碳协同增效实践提供决策参考。

     

    Abstract: The synergistic efficiency of pollution reduction and carbon emission reduction is an important approach to advancing ecological civilization and the harmonious coexistence between humans and nature, and it is also a key measure for achieving the "dual carbon" goals. This paper deconstructs and interprets the connotations and characteristics of the synergistic efficiency of pollution reduction and carbon emission reduction from three dimensions: collaboration, efficiency enhancement, and collaborative efficiency enhancement. It analyzes the practical dilemmas faced in achieving this synergy from four aspects: conceptual understanding, policy tools, technological innovation, and institutional mechanisms. From the perspective of embedded collaboration, the paper constructs a "multi-dimensional embedding - functional collaboration" analytical framework, explores the generation logic of synergistic efficiency in pollution and carbon reduction, achieves collaborative governance by embedding objectives to integrate multiple goals, realizes collaborative combinations of multiple policies through institutional embedding, enables joint governance through the participation of multiple actors via actor embedding, and achieves collaborative digital governance through the empowerment of digital technology via technological embedding. On this basis, the paper proposes implementation paths from the levels of objectives, institutions, actors, and technology: guiding value embedding, forming a system of policy combinations, constructing multi-actor collaborative governance models, and achieving collaborative digital governance, providing theoretical anchors and decision-making references for the synergistic efficiency of pollution reduction and carbon emission reduction.

     

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