| 中国城市绿色创新网络结构特征及对碳排放的影响 |
| 摘要点击 956 全文点击 171 投稿时间：2024-02-01 修订日期：2024-05-16 |
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| 中文关键词 绿色创新 碳排放 社会网络分析 空间关联 能源消耗 |
| 英文关键词 green innovation carbon emissions social network analysis spatial correlation energy consumption |
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| 中文摘要 |
| 基于社会网络分析方法,选用2006~2019年中国254个城市的面板数据,通过修正后的引力模型建立绿色创新网络,描述了该网络的整体特征和个体特征,并分析网络中心特征对碳排放的影响效用和机制. 结论表明：①2006~2019年,中国254个城市的绿色创新水平呈现明显的空间关联网络特征,网络整体结构较为稳定,关联关系数量在稳步增加,整体网络密度值呈现上升趋势. 以深圳、苏州和无锡为代表的东部城市在绿色创新网络中占据中心位置；②城市网络中心位置的提升显著加剧了碳排放,该影响效应在不同地理位置和城市规模上存在一定的异质性. 其中,在东北、东部和西部地区网络中心位置的提升加剧了碳排放,而在中部地区影响作用不显著. 在大型城市中,网络中心位置的提升加剧了碳排放,但在中、小型城市中则不显著；③中介效应表明,网络中心位置的提升会通过能源消耗促进碳排放. |
| 英文摘要 |
| Based on the social network analysis method, panel data from 254 cities in China spanning from 2006 to 2019 was utilized. A green innovation network was established using a modified gravity model, which described the overall and individual characteristics of the network. It also analyzed the impact utility and mechanisms of centrality features within the network on carbon emissions. The conclusions showed that： ① From 2006 to 2019, the green innovation level of 254 cities in China presented obvious spatial correlation network characteristics. The overall structure of the network was relatively stable, with a steady increase in the number of related relationships and the overall network density value showing an upward trend. The eastern cities represented by Shenzhen, Suzhou, and Wuxi occupied a central position in the green innovation network. ② The improvement of the central location of the urban network had significantly exacerbated carbon emissions, and this impact had certain heterogeneity in different geographical locations and city sizes. Among them, the improvement of the network center position in the northeast, eastern, and western regions had exacerbated carbon emissions, whereas the impact in the central region was not significant. In large cities, the increase in network center location exacerbated carbon emissions； however, it was not significant in small and medium-sized cities. ③ The mesomeric effect showed that the promotion of the network center location could promote carbon emissions through energy consumption. |
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