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解读个人碳纳入计划：一种基于演化博弈论的社会经济群体低碳行为研究方法

Navigating the personal carbon inclusion scheme: An evolutionary game theory approach to low-carbon behaviors among socio-economic groups.

作者信息

Wei Zhen, Cheng Zhaolin, Wang Ke, Zhou Shengjie

机构信息

College of Economics and Management, Huzhou College, Huzhou, Zhejiang, 313000, China.

College of Economics and Management, Huzhou University, Huzhou, Zhejiang, 313000, China.

出版信息

Heliyon. 2024 Aug 28;10(18):e37021. doi: 10.1016/j.heliyon.2024.e37021. eCollection 2024 Sep 30.

DOI:10.1016/j.heliyon.2024.e37021
PMID:39309820
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11415693/
Abstract

In response to the challenges posed by climate change, China has launched the Personal Carbon Inclusion (PCI) scheme to encourage individuals to transition towards low-carbon lifestyles. This study investigates the behaviors of participants within the PCI scheme using a tripartite evolutionary game model, encompassing high-income and low-income individuals, as well as the PCI platform itself. The research analyzes participants' strategies, examines the evolutionary stability of different strategies, and assesses the robustness of equilibrium points within the game dynamics. Key findings reveal: (1) High-income participants tend to be less willing to adopt low-carbon behaviors compared to low-income participants. (2) The PCI platform displays limited proactive engagement in promoting low-carbon policies. (3) Factors, particularly the cost and pricing mechanisms of low-carbon actions, significantly impact the evolutionary progression of the system. Moreover, practical recommendations are provided to enhance the effectiveness of PCI schemes.

摘要

为应对气候变化带来的挑战，中国推出了个人碳纳入（PCI）计划，以鼓励个人向低碳生活方式转变。本研究使用三方进化博弈模型，研究了PCI计划中参与者的行为，该模型涵盖高收入和低收入个人以及PCI平台本身。研究分析了参与者的策略，检验了不同策略的进化稳定性，并评估了博弈动态中均衡点的稳健性。主要研究结果表明：（1）与低收入参与者相比，高收入参与者往往不太愿意采取低碳行为。（2）PCI平台在促进低碳政策方面的积极参与有限。（3） 因素，特别是低碳行动的成本和定价机制，对系统的进化进程有重大影响。此外，还提供了切实可行的建议，以提高PCI计划的有效性。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b696/11415693/ec3eefb09d0c/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b696/11415693/5236a8906f51/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b696/11415693/325fb8c8f433/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b696/11415693/37a428f9bbd9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b696/11415693/693ff82f38ce/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b696/11415693/edcf61f7251a/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b696/11415693/6bdd6a88727c/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b696/11415693/b272bb0a5a5b/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b696/11415693/40d941e6d748/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b696/11415693/9d0eca0cee46/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b696/11415693/026187e60139/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b696/11415693/a83757740f75/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b696/11415693/be840fd4464f/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b696/11415693/41d27ba978e5/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b696/11415693/ec3eefb09d0c/gr14.jpg

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