南通大学学报（自然科学版）

在“双碳”目标背景下，科学测度我国绿色低碳发展水平并揭示其空间关联特征，对推动区域协同绿色转型具有重要意义。本文以2011—2023年我国30个省份为研究对象，构建涵盖经济、社会与生态三个维度的绿色低碳发展综合评价指标体系，采用熵权TOPSIS方法测度各省份绿色低碳发展水平，并运用核密度估计刻画其动态分布特征。在此基础上，借助改进引力模型构建省际空间关联网络，并运用社会网络分析方法，从整体与个体两个层面系统分析我国绿色低碳发展的空间网络结构特征。研究结果表明：1）研究期内，我国绿色低碳发展水平整体呈稳步上升态势；2）核密度曲线整体右移且逐渐集中，表明绿色低碳发展水平持续提升，省际分化程度有所缓解；3）绿色低碳发展空间关联网络结构相对稳定，网络密度偏低但连通效率较高；4）东部发达省份在网络中长期处于核心位置，具有较强的辐射和中介作用，网络整体呈现明显的“核心-边缘”结构。研究结论可为优化区域绿色低碳协同发展路径、推动“双碳”目标实现提供参考依据。

Against the background of China’s “dual carbon” goals， scientifically measuring the level of green and low-carbon development and revealing its spatial association characteristics are of great significance for promoting coordinated regional green transformation. Taking 30 provinces in China from 2011 to 2023 as the research sample， this study constructs a comprehensive evaluation index system for green and low-carbon development from the economic， social， and ecological dimensions. The entropy-weighted TOPSIS method is employed to measure the green and low-carbon development level of each province， while kernel density estimation is used to depict its dynamic distribution characteristics. On this basis， an interprovincial spatial association network is constructed using an improved gravity model， and social network analysis is applied to systematically examine the structural characteristics of the spatial network of green and low-carbon development from both overall and individual perspectives. The results show that: (1) During the study period， China’s overall level of green and low-carbon development exhibits a steady upward trend; (2) The kernel density curves shift rightward and become increasingly concentrated， indicating continuous improvement in green and low-carbon development and a mitigation of interprovincial differentiation; (3) The spatial association network structure of green and low-carbon development remains relatively stable， featuring a low network density yet high connectivity efficiency， and has gradually exhibited small-world characteristics; (4) Economically developed eastern provinces occupy core positions in the network over the long term， exerting strong spillover and intermediary effects， and the overall network displays a pronounced “core–periphery” structure. These findings provide empirical evidence and policy implications for optimizing regional collaborative pathways toward green and low-carbon development and for advancing the achievement of China’s “dual carbon” goals.