黄河流域城市群生态效率评价及归因分析  

Ecological efficiency evaluation and attribution analysis of urban agglomerations in the Yellow River Basin

作　　者：刘虹 雷敏[1] 杨晨 江星月 郑清 LIU Hong;LEI Min;YANG Chen;JIANG Xingyue;ZHENG Qing(College of Urban and Environmental Sciences,Northwest University,Xi'an 710127,China)

机构地区：[1]西北大学城市与环境学院,陕西西安710127

出　　处：《西北大学学报（自然科学版）》2024年第3期513-526,共14页Journal of Northwest University（Natural Science Edition）

基　　金：国家自然科学基金(42171197)。

摘　　要：黄河流域城市群是黄河流域生态保护和高质量发展的重要载体,提高黄河流域城市群生态效率有利于提升其绿色经济发展水平。基于城市群视角,利用超效率SBM模型测度黄河流域七大城市群60个城市2006—2020年的生态效率值,借助Dagum基尼指数进行区域差异性分析,进一步通过面板分位数模型识别影响城市群生态效率的主要因素。结果表明:(1)黄河流域地区及各城市群生态效率明显改善,呼包鄂榆城市群和宁夏沿黄城市群生态效率水平最高,而中原城市群和兰西城市群生态效率水平最低;(2)黄河流域生态效率空间分布格局由“低值区抱团分布、高值区离散分布”转变为高值区和低值区“小集聚、大分散”的交叉分布格局;(3)七大城市群总体差异缩小,组间差异和超变密度是总体差异的主要来源;(4)产业结构、人口密度、对外开放水平制约了城市群生态效率的发展,而经济发展水平、技术进步与生态效率呈正相关关系。The urban agglomerations in the Yellow River Basin play a crucial role in preserving the environment and fostering high-quality development in this area.Improving the eco-efficiency of these urban agglomerations has the potential to boost their green economic growth.We approached this from the perspective of urban agglomerations and used the super-SBM model to assess the ecological efficiency of 60 cities across seven urban agglomerations in the Yellow River Basin from 2006 to 2020.Afterward,we analyzed regional differences using the Dagum Gini index and identified the key factors affecting the ecological efficiency of urban agglomerations through the panel quantile model.The results are as follows:(1)Eco-efficiency has significantly improved throughout the Yellow River Basin,including all urban agglomerations.The Hu-bao-Eyu urban agglomeration and the Ningxia urban agglomeration along the Yellow River exhibited the highest eco-efficiency levels,while the Central Plains urban agglomeration and the Lanxi urban agglomeration showed the lowest eco-efficiency levels.(2)The spatial distribution of eco-efficiency in the Yellow River Basin has shifted from a"clustered distribution in low-value areas,discrete distribution in high-value areas"to a"cross-distribution pattern with small clusters and large dispersion of high-value areas and low-value areas".(3)Overall disparities among the seven major urban agglomerations have decreased.The primary contributors to these differences are disparities between groups and Hypervariable density.(4)Industrial structure,population density,and openness levels constrain the ecological efficiency of urban agglomerations.In contrast,economic development levels and technological progress are positively correlated with ecological efficiency.

关 键 词：生态效率 超效率SBM模型 Dagum基尼指数 面板分位数回归 黄河流域 

分 类 号：F124.5[经济管理—世界经济]