【摘要】 稳步实现绿色全要素生产率增长是长江经济带践行绿色低碳发展，实现高质量发展的重要途径。以测算的长江经济带2005～2020年的绿色全要素生产率为研究对象，运用空间分布图和标准差椭圆的方法探究了在城市群视角下长江经济带绿色全要素生产率的时空演化和集聚特征，并运用地理探测器研究了长江经济带绿色全要素生产率空间分异的驱动因素。结果表明：(1)2005～2020年，长江经济带整体、长江中游城市群和成渝城市群绿色全要素生产率呈现先下降后增长的发展趋势，长三角城市群呈现先增长后下降再增长的发展趋势；(2)研究期内长江经济带绿色全要素生产率从空间上始终呈现“长三角城市群>成渝城市群>长江中游城市群”以及“中心城市>非中心城市”的特征；(3)长三角城市群和长江中游城市群的绿色全要素生产率经历了“先分散，后集聚”的演化过程，成渝城市群绿色全要素生产率的集聚发展特征不明显但有明显的向东部迁移的趋势，中心城市对绿色全要素生产率的分布格局有较大影响；(4)地理探测器的单因子探测结果显示城市发展水平、技术创新和环境规制水平是长江经济带绿色全要素生产率空间分异的核心驱动因素；交互探测结果显示驱动因素的交互作用大于单因子的影响效果，2020年数字化水平和环境规制水平的交互作用对绿色全要素生产率的解释力度最强。更多还原

【Abstract】 The achievement of green total factor productivity(TFP) growth is an important way for the Yangtze River Economic Belt(YREB) to practice green and low-carbon development and achieve high-quality development. This study took the measured green TFP of the YREB from 2005 to 2020 as the research object, and used the methods of spatial distribution map and standard deviation ellipse to explore the temporal and spatial evolution and agglomeration characteristics from the perspective of urban agglomeration. The driving factors of the spatial differentiation of green TFP were studied by means of geodetector. The results showed that:(1) From 2005 to 2020, the green TFP of the whole YREB, the middle reaches of the Yangtze River city cluster and the Chengdu-Chongqing city cluster showed a development trend of a first decline and then an increase. The Yangtze River Delta city cluster showed a development trend of a first growth and then a decline and then an increase.(2) The green TFP of the YREB showed a spatial pattern of "Yangtze River Delta urban Agglomeration > Chengdu-chongqing urban Agglomeration > Urban agglomeration in the middle reaches of the Yangtze River "and" Central City > Non-central city;(3) The green TFP of the Yangtze River Delta urban agglomerations and the middle reaches of the Yangtze River experienced an evolutionary process of "first decentralization, then agglomeration". The agglomeration development characteristics of the green TFP of the Chengdu-Chongqing urban agglomerations were not obvious, but there was an obvious trend of migration to the east, and the central cities had a greater impact on the distribution pattern of green TFP.(4) The single factor detection results showed that urban development level, technological innovation and environmental regulation level were the core driving factors of the spatial differentiation of green TFP. The interactive detection results showed that the interaction of driving factors was greater than that of single factors, and the interaction of digitalization level and environmental regulation level in 2020 had the strongest interpretation of green TFP.更多还原