基于进化游戏模型的贵州省林业碳捕获实践路径的探索
Wu Yang1,2, Zhang Min1,2, Cui Tao1,2
1Guizhou Institute of Technology, School of Resources and Environmental Engineering, Guiyang, China.
PloS one
|December 13, 2024
概括
将林业碳封存纳入环境,社会和治理 (ESG) 评估中,有助于企业购买碳信用. 这种方法提高了ESG绩效,并促进了可持续的林业实践.
科学领域:
- 环境经济学环境经济学
- 林业科学 林业科学
- 游戏理论 游戏理论
背景情况:
- 贵州省拥有大量的森林资源,具有碳捕获潜力.
- 探索森林碳捕获的实用方法对于经济和社会利益至关重要.
- 目前贵州的林业碳捕获开发面临着某些局限性.
研究的目的:
- 将林业碳捕获指标纳入环境,社会和治理 (ESG) 评估系统.
- 分析限制林业碳封存和影响利益共享机构的因素.
- 探索ESG评分,补贴和成本对碳封存采购量的影响.
主要方法:
- 利用一种进化游戏模型将林业碳封存整合到ESG中.
- 使用回归分析来评估企业ESG评分,政府补贴和封存成本对购买量的影响.
- 进行模拟分析以确定进化游戏模型的稳定性.
主要成果:
- 企业ESG评分和政府补贴对林业碳封存采购量产生积极影响.
- 林业碳捕获成本对采购量产生负面影响.
- 综合的ESG评级系统有效地促进了企业购买林业碳封存的增加.
结论:
- 将林业碳捕获纳入ESG评估是刺激企业参与的有效机制.
- 政策建议包括开发本地化的ESG系统,提高透明度,增加补贴,降低成本和优化碳配额.
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