Enhancing the Efficiency of Enterprise Shutdowns for Environmental Protection:An Agent-Based Modeling Approach with High Spatial-Temporal Resolution Data

扫码查看

原文链接

万方数据

外文摘要：Top-down environmental policies aim to mitigate environmental risks but inevitably lead to economic losses due to the market entry or exit of enterprises.This study developed a universal dynamic agent-based supply chain model to achieve tradeoffs between environmental risk reduction and economic sus-tainability.The model was used to conduct high-resolution daily simulations of the dynamic shifts in enterprise operations and their cascading effects on supply chain networks.It includes production,con-sumption,and transportation agents,attributing economic features to supply chain components and cap-turing their interactions.It also accounts for adaptive responses to daily external shocks and replicates realistic firm behaviors.By coupling high spatial-temporal resolution firm-level data from 18 916 chemical enterprises,this study investigates the economic and environmental impacts of an environmen-tal policy resulting in the closure of 1800 chemical enterprises over three years.The results revealed a significant economic loss of 25.8 billion USD,ranging from 23.8 billion to 31.8 billion USD.Notably,over 80％of this loss was attributed to supply chain propagation.Counterfactual analyses indicated that imple-menting a staggered shutdown strategy prevented 18.8％of supply chain losses,highlighting the impor-tance of a gradual policy implementation to prevent abrupt supply chain disruptions.Furthermore,the study highlights the effectiveness of a multi-objective policy design in reducing economic losses(about 29％)and environmental risks(about 40％),substantially enhancing the efficiency of the environmental policy.The high-resolution simulations provide valuable insights for policy designers to formulate strategies with staggered implementation and multiple objectives to mitigate supply chain losses and environmental risks and ensure a sustainable future.

外文关键词：

Agent-based modelSupply chain networkEconomic sustainabilityEnvironmental policy

作者：

Qi Zhou、Shen Qu、Miaomiao Liu、Jianxun Yang、Jia Zhou、Yunlei She、Zhouyi Liu、Jun Bi

展开 >

作者单位：

School of Management and Economics,Beijing Institute of Technology,Beijing 100081,China

Center for Energy and Environmental Policy Research,Beijing Institute of Technology,Beijing 100081,China

State Key Laboratory of Pollution Control and Resource Reuse,School of the Environment,Nanjing University,Nanjing 210023,China

The Center of Enterprise Green Governance,Chinese Academy of Environmental Planning,Beijing 100012,China

State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation,Chinese Academy of Environmental Planning,Beijing 100012,China

展开 >

出版年：

2024

DOI：

10.1016/j.eng.2024.02.006

工程(英文)

CSTPCDEI

ISSN：2095-8099

年,卷(期)：2024.42(11)