| 黄河流域减污降碳协同治理效率空间网络关联特征及驱动因素 |
| 摘要点击 678 全文点击 84 投稿时间：2024-05-23 修订日期：2024-08-10 |
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| 中文关键词 黄河流域 减污降碳协同治理效率 空间关联网络 社会网络分析法 全过程治理 |
| 英文关键词 the Yellow River Basin collaborative governance efficiency of pollution reduction and carbon reduction spatial correlation network social network analysis method whole-process governance |
| DOI 10.13227/j.hjkx.20250625 |
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| 中文摘要 |
| 利用超效率SBM-DEA模型测算黄河流域77个地级市2012~2022年减污降碳协同治理效率，并运用修正的引力模型和社会网络分析法揭示减污降碳协同治理效率的空间关联网络结构特征及其驱动因素. 研究结果表明：①黄河流域减污降碳协同治理效率网络具有不均衡特性，黄河流域整体网络密度呈现“下游>中游>上游”的态势；②黄河流域网络节点特征明显，中心度整体呈现“下游>中游>上游”的格局；③减污降碳协同治理效率空间关联板块间尚未形成良好的循环传递框架；④“源头防控-过程控制-末端阻断”全过程治理视角下，产业结构合理化差异、清洁能源代替差异、绿色工艺创新差异和环境规制差异对黄河流域减污降碳协同治理效率空间关联网络具有重要影响. 黄河流域减污降碳协同治理效率空间关联的紧密程度仍有较大提升空间，亟需构建全过程闭合式污碳治理管控链条，强化上中下游城市生态合作，提高板块间联动效应，促进黄河流域生态文明协同发展. 通过明晰黄河流域城市间减污降碳协同治理效率的空间关系，可为推动黄河流域生态保护和高质量发展提供理论参考. |
| 英文摘要 |
| The super-efficiency SBM-DEA model was used to estimate collaborative governance efficiency of pollution reduction and carbon reduction of 77 prefecture level cities in the Yellow River Basin from 2012 to 2022. The modified gravity model and social network analysis method were used to reveal the spatial correlation network structure evolution characteristics and to identify its driving factors. The results showed that： ① The development of the spatial correlation network of collaborative governance efficiency of pollution reduction and carbon reduction in the Yellow River Basin was unbalanced. The overall network density of the Yellow River Basin presented a trend of “downstream > midstream > upstream”. ② The node characteristics of the Yellow River Basin network were obvious， and the centrality showed the pattern of “downstream > midstream > upstream”. ③ A good circular transmission framework has not yet been formed among the spatial correlation plates of collaborative governance efficiency of pollution reduction and carbon reduction. ④ Under the whole-process governance perspective of “source prevention and control-process control-end blocking”， the rationalization of industrial structure rationalization difference， clean energy replacement difference， green process innovation difference， and environmental regulation difference had an important impact on the spatial correlation network of collaborative governance efficiency of pollution reduction and carbon reduction in the Yellow River Basin. There is still much room for improvement in the spatial closeness of collaborative governance efficiency for pollution reduction and carbon reduction in the Yellow River Basin. It is urgent to build a whole-process closed carbon pollution control chain； strengthen ecological cooperation between the upper， middle， and lower reaches of cities； improve the linkage effect between modules； and promote the coordinated development of ecological civilization in the Yellow River Basin. This study provides policy reference for the establishment and improvement of the cross-regional collaborative improvement mechanism for collaborative governance efficiency of pollution reduction and carbon reduction. The aim is to clarify the spatial relationship between collaborative governance efficiency of pollution reduction and carbon reduction among cities in the Yellow River Basin and to provide theoretical reference for promoting ecological protection and high-quality development in the Yellow River Basin. |
