推动制造业智能化与绿色化协同发展是实现制造业高质量发展的重要途径。在构建协同发展分析框架的基础上，运用耦合协同度模型、Dagum基尼系数和地理探测器探究2010—2021年中国省域制造业智能化与绿色化协同发展的空间分异及其驱动因素。研究发现：①观测期内中国制造业智能化与绿色化协同发展水平总体持续攀升，经历了从轻度失调阶段向初级协同阶段的演变，但距离高质量协同发展相去甚远。②协同发展呈现“东部领先、中西部追赶”的空间分异格局，总体分异程度随时间推移有所缓和，区域间分异是总体分异的首要来源，尤其东部与中部地区间最为明显。③科技创新是影响协同发展空间分异的主导因素，科技创新与金融发展的交互组合是关键性驱动因素，其影响强度均在党的十八届五中全会后显著增强。

Promoting the coordinated development of manufacturing intelligentization and greenization is an important approach to achieve high-quality development of the manufacturing sector. Based on the establishment of the coordinated development between manufacturing intelligentization and greenization, this paper uses the coupling coordination degree model to measure the coordinated development of manufacturing intelligentization and greenization in China from 2010 to 2021, and explores the source and driving factors of the spatial differentiation of coordinated development with the help of Dagum Gini coefficient and geographical detector. The results show that: 1) From the perspective of measurement results, during the observation period, the level of coordinated development between manufacturing intelligentization and greenization in China has generally continued to rise, undergoing an evolution from a stage of mild imbalance to a stage of primary coordination. 2) From the perspective of spatial differentiation and origin, the coordinated development between manufacturing intelligentization and greenization showed an unbalanced pattern of "eastern leading and central and western catching up'' and the overall difference eased over time. The inter-regional difference is the primary source of the overall difference, especially between the eastern and central regions. 3) From the perspective of driving factors, the spatial differentiation of the coupled and coordinated development between intelligentization and greenification in China's manufacturing industry is influenced by various factors.