【摘要】 提升创新支撑能力是推动黄河流域资源型城市转型并实现高质量发展的关键路径。构建创新支撑变量作为跨期变量引入动态SBM模型测度2001～2021年黄河流域资源型城市转型效率，使用莫兰指数(Moran’s I)、Dagum基尼系数与二次指派程序(QAP),系统揭示转型效率的时空演进与差异成因。结果表明：(1)在时间演进上，黄河流域资源型城市转型效率经历倒“U”型变化后于2016年进入波动恢复阶段；创新支撑效率呈“U”型趋势，与城市转型系统愈发协调；在空间分布上，2010年之后转型的空间正相关性逐渐减弱，邻近省会的资源型城市多呈现低效集聚模式。(2)在流域差异上，上游城市转型效率最高，下游城市次之，中游城市最低，呈“高→低→高”的分布形态；在类型差异上，转型效率由高到低依次为成长型城市、再生型城市、成熟型城市、衰退型城市，对资源产业存在路径依赖。(3)Dagum基尼系数分析表明，转型效率与其差距存在负向协同变动特征，2016年后流域间转型差距扩大但类型间转型差距缩小。(4)QAP回归分析表明，传统要素是造成转型差距的主导因素但创新支撑呈显著且持续性影响；不同流域、不同类型资源型城市转型过程中的主导要素有所差异。更多还原

【Abstract】 Enhancing innovation support capacity is crucial for driving the transformation and achieving high-quality development of resource-based cities in the Yellow River Basin. An innovation support variable was constructed as an intertemporal factor and incorporated into a dynamic SBM model to assess the transformation efficiency of resource-based cities from 2001 to 2021; using Moran’s I index, Dagum Gini coefficient, and quadratic assignment procedure(QAP), the spatio-temporal evolution of transformation efficiency was systematically examined and the causes of regional disparities were identified. The results show that:(1) temporally, transformation efficiency follows an inverted U-shaped trend before entering a fluctuating recovery phase after 2016, whereas innovation support efficiency follows a U-shaped path, gradually synchronizing with the urban transformation system; spatially, positive clustering weakens after 2010, with resource-based cities near provincial capitals mostly exhibiting an inefficient agglomeration pattern.(2) Regionally, transformation efficiency is highest in the upstream area, followed by the downstream, and lowest in the midstream; among city types, growth-oriented cities perform best, followed by regenerative, mature, and declining cities, reflecting path dependence on resources.(3) The Dagum Gini coefficient reveals a negative correlation between transformation efficiency and regional disparity; since 2016, inter-basin transformation disparities have increased, whereas inter-type transformation disparities have decreased.(4) QAP regression confirms that while traditional factors are the main drivers of gaps, innovation support plays a significant and persistent role, with dominant factors varying across different basins and city types.更多还原