ID: 1699
Presenting Author: Mai Su
Session: 630 - SEA for industrial zones:technological exploration and practical innovation
Status: pending
A network-based, implementable framework integrates industrial interactions into pollutant allocation, supporting fair, efficient, and impact-oriented environmental management in industrial
Pollutant discharge management in industrial parks is a core component and practical lever of environmental impact assessment. Traditional pollutant allocation approaches often overlook inter-firm relationships such as product supply, cooperation, and competition. These interactions significantly influence firms’ production, technology, and relocation decisions, causing spatial variations in emissions and pollutant transmission among industrial parks.
This study introduces an industrial network perspective into pollutant quotas allocation across industrial parks. It examines how cooperative and competitive linkages shape firm behaviors and affect pollutant transmission and emission contributions at the park scale. Using selected areas in the Beijing–Tianjin–Hebei region as case, the research combines evolutionary games on complex networks with an agent-based model (ABM) to quantify cooperation and competition intensity and simulate emission among industrial enterprises. A multi-level allocation pathway is developed across administrative regions, industrial parks, and enterprises, integrating six key indicators. Policy text analysis supported by large language models ensures consistency with regulatory and target constraints. Results indicate that bulk-product firms tend to engage in joint technological R&D, while small-scale niche producers face stronger competitive pressure.
This research provides a practical, data-driven policy tool to achieve fair and efficient pollutant quota allocation, supporting actionable evaluation of policy effects and environmental impacts.
Mai Su, PhD Student, School of Environment, Tsinghua University.
Coauthor 1: Zishu Wang
Coauthor 2: Yi Liu
Coauthor 3: Binwei Mo
Coauthor 4: Siyan Cun