The cooperative behavioral game of urban waste reduction network considering environmental cost-sharing
- 1School of Management, University of Shanghai for Science and Technology, Shanghai, China
- 2School of Management, Shanghai University, Shanghai, China
Abstract
This study aims to identify key intervention points for urban solid waste reduction and assign corresponding environmental responsibilities. It further examines how enterprises engage in waste reduction and cooperate with one another in this process. The research integrates Material Flow Analysis (MFA) and Life Cycle Assessment (LCA) to locate critical nodes for waste reduction. An evolutionary game model is developed, where enterprises are modeled as nodes in a scale-free network and interact with neighboring nodes. MATLAB simulations are conducted to evaluate the effects of cost-sharing, benefit allocation, penalty mechanisms, and spillover effects on cooperative behavior in waste reduction. The results reveal that moderate penalty mechanisms and positive spillover effects promote multi-subjects cooperative waste reduction. While cost-sharing and benefit allocation mechanisms also enhance cooperation, their effectiveness depends on maintaining parameter values within reasonable ranges. Furthermore, the impact of these mechanisms varies across networks of different scales, suggesting that a one-size-fits-all approach may be ineffective. This study provides a novel integration of MFA, LCA, and evolutionary game theory within a network framework to explore enterprise-level cooperation in waste reduction. It offers actionable insights into designing differentiated incentive mechanisms based on network characteristics, contributing to more effective urban waste management strategies.
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BibTeX
@article{jia2026cooperative,
title = {{The cooperative behavioral game of urban waste reduction network considering environmental cost-sharing}},
author = {Xiaoxia Jia and Tingge Wu and Xiaoyue Hu and Weiyi Guang},
journal = {PLOS One},
year = {2026},
month = sep,
doi = {10.1371/journal.pone.0356910},
url = {https://doi.org/10.1371/journal.pone.0356910},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - The cooperative behavioral game of urban waste reduction network considering environmental cost-sharing
AU - Xiaoxia Jia
AU - Tingge Wu
AU - Xiaoyue Hu
AU - Weiyi Guang
PY - 2026
DA - 2026/09/01
JO - PLOS One
DO - 10.1371/journal.pone.0356910
UR - https://doi.org/10.1371/journal.pone.0356910
AB - This study aims to identify key intervention points for urban solid waste reduction and assign corresponding environmental responsibilities. It further examines how enterprises engage in waste reduction and cooperate with one another in this process. The research integrates Material Flow Analysis (MFA) and Life Cycle Assessment (LCA) to locate critical nodes for waste reduction. An evolutionary game model is developed, where enterprises are modeled as nodes in a scale-free network and interact with neighboring nodes. MATLAB simulations are conducted to evaluate the effects of cost-sharing, benefit allocation, penalty mechanisms, and spillover effects on cooperative behavior in waste reduction. The results reveal that moderate penalty mechanisms and positive spillover effects promote multi-subjects cooperative waste reduction. While cost-sharing and benefit allocation mechanisms also enhance cooperation, their effectiveness depends on maintaining parameter values within reasonable ranges. Furthermore, the impact of these mechanisms varies across networks of different scales, suggesting that a one-size-fits-all approach may be ineffective. This study provides a novel integration of MFA, LCA, and evolutionary game theory within a network framework to explore enterprise-level cooperation in waste reduction. It offers actionable insights into designing differentiated incentive mechanisms based on network characteristics, contributing to more effective urban waste management strategies.
SN - 1932-6203
ER -