The matlab program used to plot Figure 3

The global cold chain logistics market is witnessing a significant upswing, driven by the rising demand for perishable food products and increasing shipment volumes worldwide. Technological advancements are leading to a more intelligent and digitally enabled cold chain logistics system. However, the high loss rate of fresh agricultural products in China poses a significant threat to the country's food security. Therefore, it is imperative to explore innovative solutions, such as blockchain, to address the challenges of traditional cold chain logistics. In this paper, inspired by the prospect theory and evolutionary game theory, we propose an evolutionary game model to analyze the behavioral strategies of the tripartite of n-level cold chain participants, consumers, and government. Using MATLAB software, the numerical simulation of the game path of this tripartite theory is conducted, and the influence of variable parameters on the evolutionary process and outcomes of the system is analyzed. The results the following: (1) The development of an effective cold chain supply chain system can be divided into three stages, and blockchain technology plays a pivotal role in creating a seamless cold chain environment. The cost of blockchain adoption, government rewards, as well as penalties can significantly influence the behavioral choices of the three stakeholders. (2) The behavior of individual cold chain participants has a strong negative externality, which can impact the behavior of others. We also find that the larger the scale of the cold chain, the lower the probability of default by the participants. (3) The government's adoption of blockchain technology and the implementation of effective incentive policies can foster the successful development of the cold chain blockchain infrastructure. Our research contributes to the theoretical understanding of cold chain logistics decision making and policy creation for the tripartite stakeholders, including cold chain participants, consumers, and government. Our findings can serve as a valuable reference for scientific decision making and policy formulation to encourage the development of a robust cold chain supply chain system.

全球冷链物流市场正迎来显著增长，这一趋势由易腐食品需求的攀升以及全球范围内货运量的增加所驱动。技术进步正推动冷链物流系统迈向更智能、数字化的发展方向。然而，中国生鲜农产品的高损耗率正对该国粮食安全构成重大威胁。因此，探索区块链（Blockchain）等创新解决方案以应对传统冷链物流面临的挑战迫在眉睫。

本文基于前景理论（Prospect Theory）与演化博弈理论（Evolutionary Game Theory），构建演化博弈模型，以分析多级冷链参与方、消费者与政府三方的行为策略。本文借助MATLAB软件对该三方博弈的博弈路径开展数值仿真，并分析了可变参数对系统演化过程与演化结果的影响。

研究结果如下：
(1) 高效冷链供应链系统的发展可分为三个阶段，区块链技术在打造无缝衔接的冷链环境中发挥关键作用。区块链部署成本、政府奖励与处罚措施均会对三方利益相关者的行为选择产生显著影响。
(2) 单个冷链参与方的行为具有较强的负外部性，会对其他参与方的行为产生影响。研究同时发现，冷链规模越大，参与方的违约概率越低。
(3) 政府采用区块链技术并推行有效的激励政策，可助力冷链区块链基础设施的顺利建设与发展。

本研究有助于深化三方利益相关者（冷链参与方、消费者与政府）对冷链物流决策与政策制定的理论认知。研究结果可为推动稳健冷链供应链系统发展的科学决策与政策制定提供重要参考。