The synergy benefits and drivers of pollution and carbon reductions from solid waste resource utilization in China

Solid waste management is a key issue in global efforts to address climate change and pollution. China is exploring ways to improve the management of various types of solid waste to reduce both pollution and carbon. This study aims to develop a method to measure the synergy of solid waste utilization and identify its influence factors. A model was created to assess the synergy of resource utilization for industrial waste, construction waste, and municipal waste. The least absolute shrinkage and selection operator (LASSO) model was used to identify key factors, and a geographically and temporally weighted regression (GTWR) model evaluated how these factors differ over time and space. The results show significant benefits in pollution and carbon reduction from urban solid waste resource utilization. The average synergy index increases from 1.0326 in 2013 to 1.1202 in 2022, showing the strengthened COPCR from SWRU. Pronounced spatiotemporal heterogeneity is observed, including a northeast-southwest spatial orientation, and an expansion of hot-spot areas over time. Key drivers include green technology innovation, common prosperity, industrial structure, solid-waste governance investment, energy-structure transition, and information infrastructure, while their effects vary across regions. The impact of industrial structure, information infrastructure, and common prosperity are most notable and important for future optimization. This study provides data to support policymakers in promoting and optimizing "Zero Waste City" initiatives in China.

Authors

Institutions

Publication Details

Journal
Journal of Environmental Management
Published
2026-02-27
DOI
https://doi.org/10.1016/j.jenvman.2026.129152
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The synergy benefits and drivers of pollution and carbon reductions from solid waste resource utilization in China

Yuzhu Chen, Ming Gao, Jingyu Wang
Journal of Environmental Management
Municipal Solid Waste Management
article

The synergy benefits and drivers of pollution and carbon reductions from solid waste resource utilization in China

Yuzhu Chen, Ming Gao, Jingyu Wang
article en

Abstract

Solid waste management is a key issue in global efforts to address climate change and pollution. China is exploring ways to improve the management of various types of solid waste to reduce both pollution and carbon. This study aims to develop a method to measure the synergy of solid waste utilization and identify its influence factors. A model was created to assess the synergy of resource utilization for industrial waste, construction waste, and municipal waste. The least absolute shrinkage and selection operator (LASSO) model was used to identify key factors, and a geographically and temporally weighted regression (GTWR) model evaluated how these factors differ over time and space. The results show significant benefits in pollution and carbon reduction from urban solid waste resource utilization. The average synergy index increases from 1.0326 in 2013 to 1.1202 in 2022, showing the strengthened COPCR from SWRU. Pronounced spatiotemporal heterogeneity is observed, including a northeast-southwest spatial orientation, and an expansion of hot-spot areas over time. Key drivers include green technology innovation, common prosperity, industrial structure, solid-waste governance investment, energy-structure transition, and information infrastructure, while their effects vary across regions. The impact of industrial structure, information infrastructure, and common prosperity are most notable and important for future optimization. This study provides data to support policymakers in promoting and optimizing "Zero Waste City" initiatives in China.

Journal of Environmental ManagementVol. 402
Fuzhou University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 39%
Municipal Solid Waste Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.