“城市矿产”循环系统运行水平的影响因素重要度评估

    Assessment of the importance of factors influencing the operational level of urban mineral recycling systems

    • 摘要: 评估“城市矿产”循环系统运行水平的影响因素重要度对于建设“无废城市”及实现碳达峰碳中和目标具有重要现实意义。然而,既有研究多聚焦于单一子系统或局部运行环节,缺乏对“城市矿产”循环系统复杂协同机制的整体考量,尤其忽视了物流、信息流与价值流三大子系统之间的交互作用及其对系统整体运行水平的差异化贡献,导致影响因素的重要度排序缺乏系统性的分析框架与实证支撑。本文立足“城市矿产”循环系统的复杂属性,将其解构为物流系统、信息流系统与价值流系统三大核心子系统,通过文献识别法提炼关键观测变量,构建“子系统-观测变量”的分析框架。通过结构方程模型,开展信效度检验、模型拟合与修正,先后构建一阶因子模型与二阶因子模型,并验证相关研究假设。研究结果表明:三大子系统对“城市矿产”循环系统运行水平均存在显著正向影响,其中信息流系统的贡献度相对最高,三者贡献度呈现差异化特征;子系统之间呈现显著的“物质-数据-价值”协同关联特征;从观测变量层面可知,经济效益是影响系统运行的首要因素,资源化的价值补偿、回收专业知识等亦发挥重要作用。本文的贡献在于明确关键因素的优先序,对推动“城市矿产”高效循环利用及“双碳”目标落地具有重要的实践价值。

       

      Abstract: Assessing the importance of factors influencing the operational level of urban mineral recycling systems is crucial for building “zero-waste cities” and achieving carbon peak and carbon neutrality goals. However, existing studies have largely focused on individual subsystems or specific operational aspects, lacking a holistic consideration of the complex synergistic mechanisms within the urban mineral recycling systems. In particular, they have overlooked the interactions among the three major subsystems, logistics, information flow, and value flow, as well as their differentiated contributions to the system’s overall performance. As a result, there is a lack of a systematic analytical framework and empirical support for prioritizing the significance of influencing factors. Based on the complex nature of the urban mineral recycling systems, this paper deconstructs them into three core subsystems: the logistics system, the information flow system, and the value flow system. Using a literature review approach, it identifies key observational variables and constructs a “subsystem-observational variable” analytical framework. It employs structural equation modeling to conduct validity and reliability tests, model fitting, and model refinement, successively constructing first-order and second-order factor models, and tests the relevant research hypotheses. The results indicate that all three subsystems have a significant positive impact on the operational performance of the urban mineral recycling system, with the information flow subsystem making the relatively largest contribution. The contributions of the three subsystems differ from one another. There is a significant “material-data-value” synergy among the subsystems. At the level of observed variables, economic benefits emerge as the primary factor influencing system performance, while value compensation for resource recovery and specialized recycling expertise also play significant roles. The contribution of this paper lies in clarifying the priority of key factors, which holds significant practical value for promoting the efficient recycling of urban minerals and achieving the “dual carbon” goals.

       

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