能源环境保护2026，Vol.40Issue(2)：62-73,12.DOI:10.20078/j.eep.20260301
中国工业固废的演化与驱动机制:数据驱动分析
Evolution and Driving Mechanisms of Industrial Solid Waste in China:A Data-Driven Analysis
摘要
Abstract
Against the backdrop of continued industrialization and China's"dual-carbon"targets,industrial solid waste(ISW)generation has exhibited persistent growth amidst structural adjustments and governance transitions.Understanding whether this growth follows a stable trajectory or undergoes stage-specific shifts is essential for interpreting governance outcomes and designing differentiated waste management strategies.This study applies a data-driven analytical framework to a city-level panel dataset to identify the long-term stage structure of urban ISW generation in China from 2003 to 2019 and to examine how its driving mechanisms evolve across different stages and spatial scales.First,unsupervised time-series structural learning is employed to detect endogenous stage boundaries in national ISW generation without predefined breakpoints.Second,inter-stage changes are decomposed into population scale,economic affluence,industrial structure,and composite intensity effects using the Logarithmic Mean Divisia Index(LMDI)method.Third,city-level dynamics are analyzed using two-way fixed effects models and a random forest-based feature selection procedure to identify governance-relevant signals that remain stable at the annual municipal scale.We identify three stable stages:2003–2007,2008–2012,and 2013–2019.Total ISW continued to increase in all stages;however,the growth rate declined over time.Scale effects remained persistently positive,strengthened across stages,and explained 33.4％of cumulative growth.The post-2013 slowdown primarily reflects a structural transition.The industrial structure effect shifted from a positive contribution(+113 Mt)to a substantial negative contribution(-290 Mt).In contrast,the intensity effect was negative across all stages,with minimal variation in magnitude,indicating a stable offset rather than a trigger for a stage change.Regionally,all major regions shared a common temporal stage structure but relied on different pathways to mitigate scale-driven growth.In the later stage(2013–2019),the Eastern and Central regions primarily depended on intensity-related mitigation,whereas the Western regions exhibited stronger structural offsets.Northeast China,however,demonstrated a notable deviation in driving mechanisms in the later stage,during which the intensity effect turned positive and became the dominant contributor to regional ISW changes.City-level evidence suggests this pattern is consistent in direction across cities but highly concentrated in magnitude,with a small number of cities accounting for most of the positive intensity contribution.At the city scale,ISW generation is more responsive to short-term interannual changes in industrial activity intensity than to variations in economic scale or industrial structure,once time-invariant city characteristics and common shocks are controlled for(coefficient=0.0787,p=0.032).Under multi-indicator competition,performance-and process-oriented indicators,such as comprehensive ISW utilization,demonstrate greater stability and explanatory power in annual variations,standing out as especially informative for municipal operations.Overall,the findings suggest that the recent slowdown in China's ISW growth primarily reflects a structural transition rather than a weakening of scale pressures.Effective governance,therefore,requires aligning policy instruments with stage-specific driving mechanisms,emphasizing structural adjustment at the macro level while strengthening process-oriented management at the urban scale.关键词
工业固体废物/阶段划分/结构性转型/城市异质性/随机森林Key words
Industrial solid waste/Stage Identification/Structural transition/Urban heterogeneity/Random Forest分类
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袁嘉翼,陈楚珂,吴悦菡,陈思晨,常慧敏,杨航,徐明..中国工业固废的演化与驱动机制:数据驱动分析[J].能源环境保护,2026,40(2):62-73,12.基金项目
国家自然科学基金资助项目(52400239) （52400239）
