Abstract: Manufacturing intelligentization is an important driving force for building a powerful manufacturing country and cultivating new industrial competitive advantages. How to optimize the doing environment and promote the intelligent development of manufacturing industry is an important issue that needs to be solved at present. Based on the perspective of configuration, the study adopts the research method of combining NCA and QCA, and takes 30 provinces in China as research samples to explore the diversified driving path of ecosystem of doing business to manufacturing intelligentization. It shows that a single doing business condition is not a necessary condition to produce high manufacturing intelligentization. High manufacturing intelligentization is affected by the "multiple concurrent" of six conditions, namely, government environment, market environment, innovation environment, financial services, public services, and human resources, forming three configuration paths, which can be specifically summarized as the financial and resource-driven path, the market-helping path combining resource-driven ,and innovation environment, the innovation-driven path under government-dominant. By further exploring the spatial situation difference of the research samples, it can be seen that the driving path of manufacturing intelligentization in developed and underdeveloped regions is significantly different. Based on the perspective of configuration，the study systematically explores the driving path of doing business to manufacturing intelligentization, providing decision reference and practical guidance for improving the development of manufacturing intelligentization.

摘要： 制造业智能化是建设制造强国和培育产业竞争新优势的重要推动力。如何优化营商环境促进制造业智能化发展是当前亟需解决的重要问题。本文基于组态视角，采用NCA与QCA相结合的研究方法，以我国30个省份作为研究样本，探究营商环境生态对制造业智能化的多样化驱动路径。研究发现：单个营商环境条件并非是产生高制造业智能化的必要条件，高制造业智能化受到政务环境、市场环境、创新环境、金融服务、公共服务、人力资源共六个条件的“多重并发”影响，形成了三条组态路径，具体归纳为金融与资源驱动型、市场助力下依托创新环境的资源驱动型、政府主导下的创新驱动型。通过进一步探究研究样本的空间情境差异可知，发达地区和欠发达地区实现制造业智能化的驱动路径具有明显的差异性。本文从组态视角系统地探究了营商环境生态驱动制造业智能化的组态路径，为提升制造业智能化发展提供了决策参考和实践指导。