【摘要】 在碳达峰、碳中和目标背景下，提升绿色低碳循环发展关键核心技术创新能力已成为聚焦点。本研究借鉴复杂网络指标，以粤港澳大湾区城市群合作申请发明专利空间数据为基础，构建城市群低碳技术创新网络结构韧性评价模型，对比解析城市群低碳技术创新网络结构类型及其韧性时空演化特征，探究城市群低碳技术创新网络结构韧性演化的制约因素。研究表明：大湾区创新网络随着时间的演进表现出由“单一核心结构”向“多核心群落”发展的动态变化；创新网络结构层级性由早期的扁平模态向后期的立体模态演变，匹配性为异配性且呈“N”型变化趋势；创新网络结构均为“韧性网络”，韧性水平呈“提升—衰退—提升”的波动状态演化。基于多维度视角，本研究从城市群创新空间格局均衡化、关键领域差异化与创新要素流动自由化等方面，提出粤港澳大湾区低碳技术创新网络结构韧性演化的优化路径。更多还原

【Abstract】 To achieve the carbon peaking and carbon neutrality goals, it is crucial to improve the innovation capacities of core technologies in key fields for the green and low-carbon circular economic development. By referring to a comprehensive portfolio of online indicators and based on the spatial data of invention patents jointly applied by cities within the Guangdong-Hong Kong-Macao Greater Bay Area(GBA), an evaluation model for the network structural resilience of low-carbon technology innovation among cities within the GBA urban agglomeration is constructed. The model compares and analyzes the network structural types and spatial-temporal evolution characteristics of network structural resilience, and explores relevant constraints. Results show that the network structure has been changing dynamically from a“single-core structure”to a“multi-core community”, and from a flat mode in an early stage to a three-dimensional one in a later stage over time. It also displays a heterogeneous matching pattern, an N-shaped trend, and a fluctuating resilience level. Based on multi-dimensional perspectives including equilibrium in spatial patterns concerning innovations, differentiation in key fields, and free flow of innovation factors, this study proposes optimization paths for the evolution in network structural resilience of lowcarbon technology innovation among cities within the GBA.更多还原