基于 CAS 的冷链物流企业绿色创新系统运行模式
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中图分类号：N 941；F 259.2；F 273.1 文献标识码：A 文章编号：1672-7312（2026）04-0403-11
The Operation Mode of Green Innovation System of Cold Chain Logistics Enterprises Based on CAS
ZHOU Ye， PI Jiafen
（School of Economics and Management， Nanchang Hangkong University， Nanchang 330063， China）
Abstract： Based on Complex Adaptive System（CAS） theory， this paper constructs an analytical framework for the green innovation system of cold chain logistics enterprises. Using the stimulus-response model， echo model， and constrained generating emergence model， it quantitatively describes the interaction processes， resource flows， strategic choices， and nonlinear feedback effects among system agents， fully presenting the system’s operational mechanisms and evolutionary characteristics. The study finds that the green innovation system of cold chain logistics enterprises is a complex adaptive system in dynamic evolution. The agents possess “adaptability” enabling them to respond effectively to internal and external environmental “stimuli” and through interactive collaboration， they collectively generate green innovation behaviors， with successful innovation models being shared and disseminated within the system. The “adaptability” of agents gives rise to the system’s “operational rules，” continuously reshaping the innovation behavior patterns of agents and forming a virtuous evolutionary mechanism. The study concludes that the evolution of the green innovation system of cold chain logistics enterprises is the result of synergistic interaction between agent adaptive behavior and system rules. Stimulating agent vitality， optimizing collaboration mechanisms， and cultivating an institutional environment conducive to the emergence of green innovation are key to promoting the green transformation of cold chain logistics.
Key words： cold chain logistics; green innovation; complex adaptive system; stimulus-response model; echo model; emergence model
0 引言
在全球经济联系日益紧密的今天，冷链物流是保障食品安全、温敏性产品运输的关键环节，它有效地连接了生产与消费两端。（剩余15576字）
