面向碳中和的中国低碳政策变迁模式:政策网络视角

    China’s Low-carbon Policy Change Model for Carbon Neutrality: From the Perspective of Policy Network

    • 摘要: 气候治理与“双碳”目标的实现是具有动态性和跨领域性的复杂政策问题,基于多维政策网络视角理清中国低碳政策的变迁模式是优化政策设计的科学基础。以中国2009—2023年中央层面低碳政策文本为研究对象,运用社会网络分析法和内容分析法,构建政策“主体—主体”以及“主体—工具”网络,揭示政策变迁模式。结果显示,中国低碳政策主体网络构型由最初的“中心—边缘”模式,转向“分散—耦合”模式,并最终发展为具备协同特征的“协调型”模式;政策工具从以鼓励引导为主的胡萝卜式激励型工具转变为鼓励引导和目标考核并存的胡萝卜加大棒的多类型政策工具组合。“主体—工具”双模网络经历了从各部委相互独立的松散型政策工具使用,转变为多部委合作的多类型政策工具协同应用的变迁模式。研究建议政府加强中央与地方政策的纵向协同以及各地市政府部门间的横向协同、突出市场机制在资源配置中的作用、基于地区差异性有针对性地设计与制定低碳政策,为实现“双碳”目标提供有力的政策保障。

       

      Abstract: Climate governance and the realization of the dual carbon goals constitute a complex policy issue characterized by dynamism and cross-sectorality. Clarifying the evolutionary patterns of China’s low-carbon policies based on a multidimensional policy network perspective provides a scientific foundation for optimizing policy design. Taking central-level low-carbon policy texts in China from 2009 to 2023 as its research object, utilizing social network analysis and content analysis, “actor-actor” and “actor-instrument” policy networks were constructed to reveal policy evolution patterns. The results show that China’s low-carbon policy actor network configuration has evolved along the path of: “loose type-center & periphery type-dispersed & coupling type-coordinated type"; policy instruments have shifted from primarily carrot-type incentive tools focused on encouragement and guidance to a multi-type instrument mix featuring both carrots (encouragement and guidance) and sticks (target assessment). The “actor-instrument” bimodal network has transitioned from ministries using policy instruments independently in a loose pattern to a model featuring multi-ministry collaboration and the synergistic application of diverse instruments. The study suggests providing robust policy support for achieving the “dual carbon” goals by strengthening policy actor coordination and designing and efficiently screening high-performance policy portfolios.

       

    /

    返回文章
    返回
    Baidu
    map