摘要
以2011—2021年中国284个城市构建的40186组城市对为研究对象,采用改进的效率增值模型、社会网络分析法及动态GMM模型分析中国区域协同减排网络的演变特征和多维邻近性成因。结果表明:(1)研究期内中国区域协同减排网络密度整体呈现“强—弱—强—弱”的双周期、两缺口变动特征,但东中之间、东西之间、中西之间3个跨域协同减排细分网络的网络密度明显高于东部内部、中部内部、西部内部3个细分网络,揭示了中国区域协同减排网络的“跨域性”特征。(2)研究期内中国区域协同减排网络从“三区组团、零星覆盖”的扇形网络格局转为“东西联动、多区支撑”的梭形嵌套网络格局,且网络中的协同减排关系绝大多数由东部地区牵引形成,揭示了中国区域协同减排网络的“东引性”特征。(3)地理邻近性造成的“技术”锁定、产业同质化竞争以及更严峻的公共污染问题是区域协同减排网络跨域性的主要原因;东部内部、东西之间和东中之间3类网络的区域协同减排循环累积因果效应更强,同时制度、技术、虚拟邻近性正向驱动效应更强,导致区域协同减排网络的“东引性”特征。
Taking 40186 city pairs from 284 cities in China from 2011 to 2021 as the research samples,this study employs an improved efficiency value-added model,the social network analysis,and the dynamic GMM to examine the evolution characteristics and multi-dimensional proximity drivers of regional synergistic emission reduction networks in China.It is found as follows.①The overall density of regional synergistic emission reduction networks followed a dual-cycle pattern of"high-low-high-low"with two distinct declines during the study period.Notably,the network densities of the three cross-regional networks(the Eastern-Central,Eastern-Western,and Central-Western networks)were significantly higher than those of the three within-region networks(the Eastern,Central,and Western networks),highlighting the"cross-regional"nature of synergistic efforts.②The regional synergistic emission reduction network has undergone a dynamic evolution from a fan-shaped network pattern of"three-region grouping and sporadic coverage"to a spindle-shaped nested network pattern of"east-west linkage and multi-region support".Moreover,the majority of synergistic relationships were led by the eastern region,underscoring the"east-led"characteristic of the network.③The cross-regional feature is primarily driven by geographical proximity,which leads to technological lock-in,homogenized industrial competition,and more severe public pollution problems.The east-led feature stems from stronger circular cumulative causality effects in eastern network,eastern-western network,and eastern-central network,together with more pronounced positive impacts of institutional,technological,and virtual proximity.
作者
廖斌
侯新烁
韩雷
LIAO Bin;HOU Xinshuo;HAN Lei(Business School,Xiangtan University,Xiangtan 410015,China)
出处
《地理与地理信息科学》
北大核心
2026年第1期43-50,共8页
Geography and Geo-Information Science
基金
国家自然科学基金项目(72464007)
湖南省教育厅科学研究优秀青年项目(24B0181)
贵州省教育厅高校人文社会科学研究项目(2025RW28)
国家资助博士后研究人员计划项目(GZC20241428)。
关键词
区域协同减排网络
GMM
时空演变
多维邻近性
regional synergistic emission reduction networks
GMM
spatio-temporal evolution
multidimensional proximity
