本文从创新理论发展演 变、企业创新模式3.0兴起、第三代创新政策实践等多重视角，系统梳理了近年来创新3.0范式演变的理论基础与实践探索，认为其实质是以创新生态系统为核心特征的新一代创新范式。在分析创新生态系统兴起和发展动因的基础上，深入阐释了创新生态系统的概念与特征。并提出在我国创新驱动发展战略下，建设世界顶级创新生态系统的基本考虑。

Based on the analysis of the overseas achievement of the theoretical research in innovation paradigm, the enterprise “innovation 3.0” model and the third generation innovation policy practice of multiple perspectives, the core feature of the new innovative 3.0 paradigms is innovation ecosystem. After all, we analyzed review of motivation on innovation ecosystem analysis, and then in-depth put forward the concept and characteristics of innovation ecosystems. In the present age, China will implement the strategy of innovation-driven development, and Scientific and technological innovation provides strategic support for raising the productive forces and boosting the overall national strength, we put forward some basic considerations of building the world's top innovation ecosystem.

数字化时代的经济运行方式呈现出数据驱动、万物互联、创新迭代的特征，数字经济的数字化、网络化、智能化属性对创新活动产生了深刻影响。运用空间杜宾模型，对361座城市2010-2018年度数据进行实证检验。检验结果表明，数字经济发展不仅能够带动本地创新绩效提升，而且对周边城市创新绩效也具有显著正向影响；与中、西部地区相比，东部地区数字经济对创新绩效的促进作用更强，空间溢出效应也更显著。由此，建议可从挖掘数据要素价值、搭建数字化平台、推动数字技术创新等角度发展数字经济，促进本地区和周边地区创新绩效共同提升。

This paper explores the cultivation paths of innovation ecosystems in the digital age by constructing a theoretical framework consisting of innovators, elements of innovation, platforms and digital governance. Four cities in China, Shenzhen, Hangzhou, Xuzhou and Weifang, were selected for in-depth case studies. Findings revealed that: (1) regions with ‘head enterprises’ and a strong industrial base achieve a competitive advantage via the synergy of digital industrialisation and industrial digitalisation; (2) digital technology pioneer regions can adopt digital industrialisation; (3) regions with a strong industrial base and traditional manufacturing industries can prioritise industrial digitalisation and (4) manufacturing regions with a large number of small and mid-size enterprises (SMEs) who can combine industrial digitalisation and digital value. This study provides theoretical and practical value for the cultivation of regional innovation ecosystems.

以全国228个地级市为样本，采用NCA与fsQCA探究数字经济赋能科技创新的组态路径，并以“准胡焕庸线”、城市规模、是否为国家创新型城市等为分类标准，剖析数字经济赋能城市科技创新发展路径的异质性。研究结果表明：不存在引致城市高科技创新发展的单个必要条件,但产业融合对于城市高科技创新发展发挥相对普适作用。存在两条等效的引致城市高科技创新发展的组态：“政府助力下技术主导型”、“政府助力下环境主导型”，数据基础和治理数字化存在潜在替代关系。数字经济赋能城市科技创新发展的组态路径具有明显的区位异质性、规模异质性及政策效应异质性，整体来看产业融合、政府支持、信息基础设施是各类型城市高科技创新发展的关键。研究结论打开数字经济赋能科技创新的“黑箱”，为各类型城市借助数字化驱动创新发展提供了理论参考。

Based on the 228 cities of China as study cases, this paper summarizes six digital factors affecting urban S&T innovation under the TOE framework. Then this paper adopts the NCA method to measure the necessity degree of digital factors to promote the development of urban S&T innovation. Meanwhile the fsQCA method is selected to explore the configuration path of digital factors empowering S&T innovation from an urban scale perspective. Furthermore, 228 cities are divided into different sample sets, with the classification criteria such as the "quasi-Huanyong line", urban S&T innovation scale, and whether it is a national innovation city. After the six sample sets are calibrated and modeled separately, this paper analyzes the configuration heterogeneity of digital factors empowering urban S&T innovation. The results show that: First, there is no single necessary condition that leads to the development of high technology innovation, but industrial integration plays a universal role in promoting the development of high technology innovation in cities. Second, There are two ways to achieve high urban S&T innovation，named A1:"government support technology driven " and A2: "government promotion environment driven". Configuration A1 indicates that cities can achieve high S&T innovation improvement, with high level of information infrastructure, services digitalization, and industrial integration as the leading conditions, and solid database foundation and high government support as the supporting conditions. While A2 refers that the city can achieve high S&T innovation development when there is a complete information infrastructure, a high level of government support, services digitization, governance digitization, and industrial integration. At this time data base and digitalization of governance can be substituted with each other. Last but not least, there are clear configuration heterogeneity when cities have different geographic locations, S&T innovation scales, and innovation policies: ①governance digitalization plays a minor role in the southeast cities, while the northwest cities rely more on a high level of digital governance and industrial integration for their S&T innovation. ②government support and digital environment construction play a prominent role in technological innovation in "central cities", while "peripheral cities" depends on information infrastructure and industrial integration more.③industrial integration is critical factors for S&T innovation in national innovative cities, while non-national innovative cities still needs the linkage of information infrastructure. ④Overall, industrial integration, government support, and information infrastructure are the keys to S&T innovation improvement for all types of cities.Therefore, this paper proposes some management recommendations as follows. Firstly, all region should explore its own unique path of digitalization empowering S&T innovation, referring to the configuration template above from an overall perspective. Secondly, all cities should promote the synergy of digital service and governance of traditional government department, and form the localized digital development policy system with adaptation to local conditions, in order to provide support for cultivating a good digital environment for S&T innovation. Finally, all regions should actively promote the digital transformation of traditional industries, and build professional productive digital service platforms, promote "enterprises on the cloud" and "enterprises using the cloud", then set the digital economy industrial parks, leading to drive urban science and technology innovation with new models and new industries.

基于2010~2020年278个地级市面板数据，以中国政府2015年实施的绿色数据中心试点为准自然实验，应用双重机器学习模型，探究绿色数字基建影响不同种类绿色创新的内在机理与多维政策效应。研究发现：绿色数字基建切实激发了城市绿色创新，并表现出明显的实质性绿色创新偏好。机制检验表明：绿色数字基建能通过提升能源效率、抑制污染排放与吸引数字人才、鼓励数字创业来间接驱动绿色创新发展。进一步分析表明，绿色数字基建的绿色创新效果表现出“高质量发展区>非高质量发展区”“数字经济集聚区>非数字经济集聚区”“非资源型城市>资源型城市”的异质赋能特征。

聚焦数据要素，从多个维度构建数据要素配置水平综合评价指标体系，基于2012—2020年省际面板数据探讨数据要素配置对区域创新的赋能效果、差异性影响及作用路径。研究发现：①时空演化特征初步证明数据要素配置与区域创新之间存在显著正相关关系，且区域创新能力的空间分布呈现出东部>中部>西部的依次递减特征；②基准回归结果表明，数据要素配置效率高能够显著促进区域创新能力提升，该结论经过系列稳健性检验后依然成立；③数据要素配置的创新驱动效应存在异质性、条件性特征，前者表现为在高数字基础设施建设水平地区、东部地区以及对激进型创新的促进作用更显著，后者表现为在不同区域创新能力下，创新驱动效应呈现出边际递增规律；④渠道效应检验结果表明，提升创业活跃度、促进R&D人员流动以及降低产业结构扭曲度均为数据要素配置赋能区域创新的有效路径。

前沿研究关注信息化对创新效率的影响，随着数字技术的发展，鲜有研究考察数字技术对创新效率的作用，也并未重视其作用机制检验，以及作用效应是否存在异质性。基于此，本文采用2007-2020年中国30个地区面板数据，检验数字技术对创新效率的影响及其作用机制，并进一步考察不同政府关注度、不同研发强度以及不同地理区位的异质性影响。研究发现：第一，总体上看，数字技术能够显著提升地区创新效率，这一结论在进行稳健性检验和工具变量回归后仍然成立。第二，数字技术对创新效率作用机制检验发现，数字技术通过人力资本积累、知识溢出和优化创新要素配置提升地区创新效率。第三，进一步分析表明，数字技术对地区创新效率的影响存在异质性，在政府关注度较高、研发强度较高以及地理区位优势地区，数字技术对创新效率的推动作用更为明显。

Frontier research focuses on the impact of informatization on innovation efficiency. With the development of digital technology, few studies have investigated the role of digital technology on innovation efficiency, nor have they paid attention to the test of its mechanism of action and whether there is heterogeneity in the effect. Based on this, this paper uses panel data of 30 regions in China from 2007 to 2020 to test the impact of digital technology on innovation efficiency and its mechanism, and further investigate the heterogeneous impact of different government attention, different R&D intensity and different geographical locations. Research findings: first, on the whole, digital technology can significantly improve the efficiency of regional innovation. This conclusion is still valid after the robustness test and instrumental variable regression. Second, the test of the mechanism of digital technology on innovation efficiency shows that digital technology improves regional innovation efficiency through human capital accumulation, knowledge spillover and optimization of innovation factor allocation. Third, further analysis shows that there is heterogeneity in the impact of digital technology on regional innovation efficiency. In areas with high government attention, high R&D intensity and geographical advantages, the promotion of digital technology on innovation efficiency is more obvious.

创新驱动发展的背景下，企业竞争优势的提升越来越依赖其所处的创新生态系统。作为市场与组织的中间层次，生态系统视角成为创新理论研究范式的新方向。现有的研究缺乏对于创新生态系统理论及其研究演进的系统性回顾。本文以科学计量方法为基础，系统论述了创新生态系统理论的源起、知识演进和理论框架。研究结论显示：创新生态系统的理论研究主要围绕商业生态系统，价值创造，开放式创新，创新生态系统四大聚类展开。基于重点文献对创新生态系统理论知识演进的分析，创新生态系统的理论框架可分为核心文献、理论基础、研究方法三大层次。