| 黄河流域城市群土地利用碳排放效率的空间网络结构特征分析 |
| 摘要点击 792 全文点击 16 投稿时间：2025-05-20 修订日期：2025-09-11 |
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| 中文关键词 土地利用 碳排放效率 非期望产出的超效率SBM模型 空间关联网络 社会网络分析法（SNA） |
| 英文关键词 land use carbon emission efficiency Super-efficiency SBM model with undesirable outputs spatial correlation network social network analysis （SNA） |
| DOI 10.13227/j.hjkx.202505210 |
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| 中文摘要 |
| 为响应黄河流域生态保护与高质量发展国家战略，聚焦城市群土地利用碳排放效率的空间关联格局，采用非期望产出的超效率SBM模型和社会网络分析法，解析其网络结构特征并识别核心城市，探讨其影响因素. 结果表明：①研究期间黄河流域城市群土地利用碳排放效率显著提高，空间分布差异逐渐增大，高效率集中在研究区东部和中部. ②研究期间不同城市群空间关联程度显著增强，关中平原城市群、山东半岛城市群、几字弯都市圈与中原城市群呈现明显的空间关联溢出现象. ③研究区整体网络表现出稳定和均衡的特征；个体网络特征揭示部分城市如青岛、东营和郑州等的中心性显著提高，成为关键节点. ④将黄河流域城市群划分为净溢出板块、主受益板块和经纪人板块及净受益板块. ⑤地理距离、经济发展水平、平均气温、碳排放强度及建设用地对土地利用碳排放效率空间关联具有显著影响. |
| 英文摘要 |
| Under the national strategy for ecological conservation and high-quality development in the Yellow River Basin， this study investigates the spatial correlation patterns and formation mechanisms of land use carbon emission efficiency in urban agglomerations. Utilizing the super-efficiency SBM model with undesirable outputs and social network analysis， we examine the structural characteristics of the carbon emission efficiency network and identify core cities within the network. The key findings are as follows： ①During the study period， land use carbon emission efficiency in the Yellow River Basin urban agglomerations significantly improved， with spatial disparities gradually widening. High-efficiency zones concentrated in the eastern and central regions. ②Spatial correlations among urban agglomerations notably strengthened， with the Guanzhong Plain Urban Agglomeration， Shandong Peninsula Urban Agglomeration， Jiziwan Metropolitan Area， and Central Plains Urban Agglomeration demonstrating significant spatial spillover effects. ③The overall network exhibited stable and balanced characteristics. Analysis of individual network features revealed substantially enhanced centrality in cities such as Qingdao， Dongying， and Zhengzhou， establishing them as key network nodes. ④Urban agglomerations were categorized into four functional plates： net spillover， main beneficiary， broker， and net beneficiary. ⑤Geographical distance， economic development level， mean temperature， carbon emission intensity， and construction land exerted significant impacts on the spatial correlation of land use carbon emission efficiency. |
