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Resource-based cities often face problems such as resource scarcity and insufficient electricity to achieve complex high-quality growth. At present, there is relatively little research on the impact on the high-quality development of such cities. To study the key variables that affect the high-quality growth of resource-based cities, we adopt entropy weighted TOPSIS technology, spatial correlation analysis, and spatial econometric models. The main conclusions are as follows: (1) The overall high-quality development of resource-based cities in China is on the rise year by year; The cities with the highest growth rates are those that are mature, rejuvenated, growing, and declining. (2) Resource-based cities have a positive geographical correlation in high-quality development, and different numbers of clusters are displayed by changing the Moran I index score. (3) High quality development is strongly influenced by human capital, urbanization, technological innovation, and global market openness. There are significant differences in the ways in which these variables affect various types of resource-based cities. Policy makers who strive to reduce regional inequality and encourage high-quality growth in resource-based communities may benefit greatly from the insights provided by this study.

资源型城市（resource-based cities）在推进高质量复合增长过程中，往往面临资源匮乏、电力供给不足等困境。当前，针对此类城市高质量发展影响因素的相关研究相对较少。为探究影响资源型城市高质量增长的关键变量，本研究采用熵权TOPSIS法（Entropy Weighted TOPSIS）、空间相关性分析以及空间计量模型开展研究。主要研究结论如下：（1）中国资源型城市的整体高质量发展水平逐年提升；增长速率最快的城市类型为成熟型、再生型、成长型与衰退型资源型城市。（2）资源型城市的高质量发展存在正向空间相关性，调整莫兰I指数（Moran's I）得分后可呈现出不同数量的空间集聚集群。（3）高质量发展水平受人力资本、城镇化水平、技术创新以及全球市场开放度的显著影响；上述变量对不同类型资源型城市的影响路径存在显著差异。致力于缩小区域发展差距、推动资源型地区高质量增长的政策制定者，可从本研究的结论中获取极具价值的决策参考。