| 数字经济对区域碳排放空间关联网络结构的作用机制及优化策略 |
| 摘要点击 248 全文点击 16 投稿时间：2024-03-26 修订日期：2024-07-15 |
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| 中文关键词 数字经济 碳排放 空间关联网络 聚类特征 省际协同 |
| 英文关键词 digital economy carbon emission spatial correlation network clustering feature inter-provincial collaboration |
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| 中文摘要 |
| 数字经济发展打破了传统生产联系中的“时空壁垒”,使得碳排放的跨区域空间流动更加广泛.基于2010~2021的省级面板数据,采用社会网络分析法揭示区域碳排放空间关联网络结构及其时空演化规律,构建QAP模型从基础设施效应、结构优化效应、技术创新效应及资源配置效应阐释数字经济发展对关联网络的作用机制.结果表明：①从分布格局来看,全国碳排放的空间关联呈现“多中心驱动”的网络结构形态,由南到北,由东往西关联数逐渐增强,以江苏、浙江和山东为主要关联节点.②北京、天津、上海和浙江等省市为网络的中心行动者,属于“净受益”板块,对其他地区形成“虹吸效应”,在关联网络中发挥主导作用.③数字经济水平、邻接关系、环境规制和政商关系是促进碳排放空间关联网络形成的共同驱动因素.④从数字经济的影响机制来看,数字普惠金融差异、数字创新应用差异和数字基础设施差异的增大引致了碳排放“千头万绪”的多维空间联动,数字产业发展鸿沟越大,越不利于省际间碳排放网络结构的形成. |
| 英文摘要 |
| The development of the digital economy has broken the “spatiotemporal barriers” in traditional production connections, leading to more extensive cross-regional spatial flows of carbon emissions. Based on provincial panel data from 2010 to 2021, this study uses social network analysis to reveal the structure and spatiotemporal evolution of regional carbon emission spatial correlation networks. A QAP model is constructed to explain the mechanisms by which digital economy development influences these networks through infrastructure effects, structural optimization effects, technological innovation effects, and resource allocation effects. The results showed that： ① In terms of distribution patterns, the spatial correlation of national carbon emissions exhibited a “multi-center driven” network structure, with connections strengthening from south to north and east to west, with Jiangsu, Zhejiang, and Shandong as the main nodes. ② Provinces, such as Beijing, Tianjin, Shanghai, and Zhejiang acted as central players in the network, forming a “net beneficiary” sector that exerted a siphon effect on other regions, thereby playing a dominant role in the correlation network. ③ The level of digital economy, adjacency relationships, environmental regulations, and government-business relations were common driving factors promoting the formation of carbon emission spatial correlation networks. ④ Regarding the impact mechanism of the digital economy, increasing differences in digital inclusive finance, digital innovation applications, and digital infrastructure have led to complex multi-dimensional spatial linkages of carbon emissions. The larger the digital industry development gap, the more detrimental it is to the formation of inter-provincial carbon emission network structures. |
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