固体废物逆向供应链的实证和模拟调查:一个复杂的适应性系统视角
Guofeng Ma1, Xinming Pan1, Yuanyuan Zhang1
1Tongji University, School of Economics & Management, Shanghai, China.
Journal of environmental management
|April 18, 2024
概括
有效的固体废物管理依赖于了解影响分类行为的因素. 经济激励和积极的态度大大促进了分类,优化了资源利用的逆向供应链.
科学领域:
- 环境科学 环境科学
- 运营研究 运营研究
- 行为经济学是一种行为经济学.
背景情况:
- 全球固体废物产量迅速增加,需要有效的管理系统.
- 目前的固体废物管理系统被分析为复杂的适应性系统,重点关注运营挑战.
- 了解行为驱动因素对于优化废物分类和资源回收至关重要.
研究的目的:
- 用复杂的适应性系统理论分析固体废物管理中的关键运营问题.
- 研究固体废物产生层内的行为决策复杂性.
- 模拟和理解固体废物逆向供应链中的多层进料前行影响机制.
主要方法:
- 复杂的适应性系统理论的应用,以建模固体废物管理.
- 回归分析以确定影响家庭垃圾分类行为的因素.
- 开发一个基于代理的模型来模拟多层动态和材料/财务流.
主要成果:
- 内生因素 (态度,主观规范,感知行为控制) 和外生因素 (经济激励,政府监督,技术支持) 都会对排序行为产生积极影响.
- 经济激励 (β=0.327) 和态度 (β=0.249) 对排序行为产生了最显著的积极影响.
- 增加分类和处置率被证明可以降低成本,并在反向供应链中促进资源利用.
结论:
- 参与和精确的来源分类是缩短材料流通路径和降低物流成本的关键.
- 提高处置率有助于从垃圾填埋到资源回收的过渡.
- 研究结果为固体废物逆向供应链的管理者和相关企业提供了实用见解.
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