生态经济

在“双碳”目标约束下，区域经济发展模式对减排至关重要。论文聚焦城市经济规模差异，探究如何通过产业集聚与城市网络协同优化碳排放。以长江经济带108个城市2005—2020年的数据为基础，构建城市经济与网络外部性分析框架，运用社会网络分析与多尺度地理加权回归模型，揭示其对碳排放的时空影响机制。研究发现：(1)产业集聚外部性显著增加碳排放，而城市网络外部性则具有减排效应；(2)长三角地区辐射效应显著，有效促进了城市群内部协同减排；(3)经济基础薄弱的小城市需深化产业专业化以减排，大城市则宜通过产业多样化与均衡知识网络发展优化碳结构。研究拓展了区域外部性理论视角，为制定差异化、多尺度碳治理策略提供了实证依据。

Under the constraints of the dual carbon goals,regional economic development models are crucial for emission reduction.This study focuses on disparities in urban economic scale to investigate how to optimize carbon emissions through the synergy between industrial agglomeration and city networks.Based on data from 108 cities in the Yangtze River Economic Belt (2005-2020),we construct an analytical framework for urban economic and network externalities.Employing Social Network Analysis (SNA) and Multi-scale Geographically Weighted Regression (MGWR) models,we reveal the spatiotemporal impact mechanisms on carbon emissions.The findings indicate that:(1) Industrial agglomeration externalities significantly increase carbon emissions,whereas city network externalities exhibit emission reduction effects;(2) The Yangtze River Delta region demonstrates a pronounced radiation effect,effectively promoting synergistic emission reduction within the urban agglomeration;(3) Small cities with weaker economic foundations require deepening industrial specialization for emission reduction,while large cities should optimize their carbon structure through industrial diversification and the development of balanced knowledge networks.This research extends the theoretical perspective on regional externalities and provides empirical evidence for formulating differentiated,multi-scale carbon governance strategies.