中美科技经济脱钩进一步凸显了我国关键核心技术创新突破的紧迫性。本文从关键核心技术规律特征、我国该项技术发展水平这两个维度构建关键核心技术系统分类体系。并且从创新生态系统的角度，进一步总结出不同类型关键核心技术适用的创新生态系统组织方式和研发模式。我们发现，集成型技术适用政府强力干预的新型举国体制模式；攻关型技术适用研究院所拥有更多自主权的放权型产学研合作模式；开放型技术适用企业家精神推动的核心企业领导模式；探索型技术适用灵活开放的非营利机构主导模式。研究结论为我国关键核心技术高效创新组织方式设计及政府制定政策提供理论参考。

The technological and economic decoupling between China and the United States further highlights the urgency of China's key technological innovation breakthroughs. This paper constructs the key technology classification system from the two dimensions of the key technologies: characteristic of technical law and the development level of this technology in China. Furthermore, from the perspective of innovation ecosystem, the organization modes and R&D modes suitable for different types of key technologies are further summarized. We find that the national system mode with strong government intervention is suitable for the aggregate technologies; The industry-university-research cooperation mode with more autonomy is suitable for the bottleneck technologies; the core enterprise leadership mode driven by entrepreneurship is suitable for the open technologies; the flexible and open nonprofit-led mode is suitable for the exploratory technologies. The conclusion of this study provides theoretical reference for the organization mode design of key technologies and government policy making in China.

围绕关键核心技术展开衍生技术创新，依托产业链构建技术生态体系，是全面突破“卡脖子”困境的根本途径。基于创新扩散视角，研究构建了关键核心技术、知识溢出和衍生技术创新的分析框架，深入探讨其过程机制、影响因素和实现路径。研究发现，焦点企业在取得关键核心技术后能够显著推动产业链企业的衍生技术创新。其中，焦点企业获取关键核心技术后可以倒逼上游供应商的衍生技术创新，但对下游客户的影响力并不显著。进一步异质性分析表明，合作研发的创新模式和焦点企业的议价能力能够强化关键核心技术对衍生技术创新的促进作用，严苛的知识产权保护会阻碍衍生技术创新。研究通过围绕关键核心技术的衍生技术创新的理论研究，为关键核心技术的创新扩散和产业链的技术生态构建提供了理论支撑，也为产业创新实践和政策制定提供了参考依据。

The current "neck-sticking" dilemma in China is not merely sanctions on specific enterprises or technological fields, but the comprehensive blockade of the industrial chain and innovation chain by the Western countries with the United States as the leader. Derivative technological innovation around key core technologies and building a complete technological ecosystem based on the industrial chain represent fundamental approaches to comprehensively breaking through the "neck-sticking" dilemma. However, current literature on how focal firms' key core technology affects derivative technological innovation in the industrial chain is relatively limited, making the industrialization of key core technology lack theoretical guidance. Based on the perspective of innovation diffusion, we propose an analytical framework for the diffusion path of key core technology and its derivative technology innovation, and discuss its process mechanism, influencing factors and implementation path.This article takes A-share listed companies as research objects and identifies key core technology through their patent information, so as to obtain a list of focal firms owning key core technology. Subsequently, we obtain the basic information and patents of suppliers and customers for these focal firms and identify whether these patents are derivative patents around the key core technology based on their technology areas. Based on the finally available 699 year-firm unbalanced panel observations of 142 firms over the period 2008-2020, the empirical research is conducted using a regression method.It is found that the key core technology acquired by the focus enterprise might significantly promote the derivative technology innovation of the industrial chain. Among them, the focal firms can push the derivative technology innovation of upstream suppliers after acquiring key core technologies, but their influence on downstream customers is limited. Further heterogeneity analysis shows that the innovation model of collaborative R&D and the bargaining power of focal firms may strengthen the promotion effect of key core technologies on derivative technology innovation. Stringent intellectual property rights protection also hinders the innovation of derivative technologies, while the moderating effect of geographic proximity is not significant.Contributions are reflected in the following aspects: (1) The findings of this study provide theoretical support for whether and how derivative technology innovation can be promoted after the breakthrough of key core technology. Existing literature mostly analyzes the motives and paths of derivative technology innovations spawned by key core technology in a qualitative manner, which lacks empirical evidence. We argue that not only the single-point breakthrough from "0 to 1" but also the subsequent derivative technology innovation from "1 to N" should be emphasized to break through the "neck-sticking " dilemma. We thus advance theoretical research on "neck-sticking" technology by testing that focal firms could construct a technological ecosystem from the perspective of innovation diffusion after acquiring key core technology. (2) We have broadened boundaries regarding the mechanism of innovation implications in industrial chains. Unlike previous studies that focused on how the innovation capability of suppliers or customers affects the innovation behavior of focal firms, the study shifts the lens to focal firms and focuses on how innovation breakthroughs of focal firms affect derivative technology innovations of upstream and downstream firms in the industry chain. (3) The study constructs information flow in the innovation diffusion process of key core technology and sheds light on how key core technology promotes derivative technology innovation through the flow of technology, information and personnel, thus enriching the study on spillover paths in innovation diffusion research. In summary, we have provided theoretical support for the diffusion of innovation of key core technology and the construction of the technological ecosystem of the industrial chain, as well as a reference basis for industrial innovation practice and policy formulation.

在新一轮科技革命与百年未有之大变局下，我国企业正面临由贸易之争转变为科技实力之争带来的“卡脖子”技术困境。基于突破“卡脖子”技术的现实问题，以中国上市公司发明专利为数据集，分析企业知识开发模式对关键核心技术及其衍生技术的影响。结果表明，内部创新模式与外部创新模式均对企业关键核心技术及其衍生技术突破具有促进作用，但相比之下，外部模式产生的影响更加显著。进一步研究发现，市场竞争强度在知识开发与衍生技术之间起促进作用；选择外部知识开发模式不仅有利于衍生技术数量增长，而且有助于专利质量提高；衍生技术的成果转化会反馈新的关键核心技术突破。研究结论对我国企业高效选择创新路径，实现“卡脖子”技术突破具有重要参考价值。

Productivity across European regions is related to three types of networks that mediate R&D-related knowledge spillovers: trade, co-patenting and geographical proximity. Both our panel and instrumental variable estimations for European regions suggest that network relations are crucial sources of R&D spillovers, but with potentially different features. Both import and co-patenting relations affect local productivity directly, but spillovers from innovation-leading regions are effective only when they are import-mediated and when recipient regions have a solid knowledge base. From a policy perspective, this may frustrate recent European policy initiatives, such as Smart Specialization, which are designed to benefit all regions in Europe.

论文基于资源依赖理论和三螺旋理论，利用2002-2016年电子信息产业专利数据，考察了制度邻近、地理邻近和技术邻近对合作创新的影响以及技术多元化的调节作用。研究表明，（1）制度邻近和地理邻近均对合作创新绩效具有显著地正向影响，技术邻近与合作创新绩效之间存在倒U型关系；（2）技术多元化作为调节变量，增强了制度邻近与合作创新绩效之间的正向关系以及技术邻近与合作创新绩效之间存在倒U型关系；（3）地理邻近对政府-企业和企业-企业具有显著的促进作用，技术邻近与企业-企业合作创新之间存在倒U型关系，而对企业-高校和政府-企业的合作创新具有显著负向影响。本研究拓展了三螺旋理论的研究范围，为“官产研”合作创新提供了理论支持和决策基础。

新质生产力是推动企业高质量发展的强劲推动力和支撑力，研究其驱动因素对于企业发展至关重要。本研究基于动态资源基础观，利用2015-2022年中国A股上市公司数据，实证分析了数智化转型对企业新质生产力的影响及异质性特征，并对吸收能力的中介作用和市场竞争强度的调节作用进行了检验。研究发现：（1）数智化转型对企业新质生产力水平的提升有显著影响；（2）吸收能力在数智化转型与企业新质生产力关系间发挥中介作用；（3）市场竞争强度在数智化转型与企业新质生产力关系间发挥正向调节作用；（4）相较于国有、中西部地区、衰退期的企业，非国有、东部地区、成长期和成熟期的企业实施数智化转型更能促进新质生产力水平提升。研究结论为企业数智化转型和提升新质生产力提供了理论支持，并丰富了相关实证研究。

New quality productivity is a powerful driving force and supporting force to promote the high-quality development of enterprises. This view has been widely recognized by the community. Accelerating the development of new quality productivity will help enterprises enhance their competitive advantage and realize sustainable development. However, the existing literature focuses on exploring the connotation characteristics and value significance of new quality productivity, and there are few empirical research models to explore its driving forces. Some studies believe that the digital intelligence transformation is the core driving force to lead the innovation and development of enterprises, and whether the digital intelligence transformation can improve the new quality productivity level of enterprises is an urgent topic to be discussed.Based on the dynamic resource-based view, using the data of China A-share listed companies from 2015 to 2022, this paper empirically analyzes the influence and heterogeneity of digital intelligence transformation on the new quality productivity of enterprises, and tests the mediating role of absorptive capacity and the moderating role of competitive intensity. It is found that: (1) the digital intelligence transformation has a significant impact on the improvement of the new quality productivity level of enterprises, and this conclusion still holds after various robustness tests. (2) the digital intelligence transformation can improve the absorptive capacity and new quality productivity of enterprises, and the absorptive capacity plays a mediating role in the relationship between the digital intelligence transformation and new quality productivity of enterprises. (3) the competitive intensity plays a positive role in moderating the relationship between the digital intelligence transformation and the new quality productivity of enterprises. (4) heterogeneity analysis shows that, compared with state-owned enterprises, enterprises in the central and western regions and in recession, non-state-owned, eastern regions, growing and mature regions can promote the improvement of new quality productivity by implementing digital intelligence transformation. The theoretical contributions of this study are as follows: first, the existing literature focuses on the connotation characteristics and value significance of new quality productivity, while there are few empirical research models to explore its driving factors. This study examines the influence of digital intelligence transformation on the new quality productivity level of enterprises through empirical research, which not only provides theoretical reference for promoting the transformation of digital intelligence and improving the new quality productivity level of enterprises, but also enriches the empirical research on the relationship between digital intelligence transformation and new quality productivity of enterprises. Second, based on the dynamic resource-based view, the theoretical model of "digital intelligence transformation-absorptive capacity-new quality productivity of enterprises" is constructed, and the intermediate transmission mechanism of absorptive capacity is deeply analyzed, which opens the "black box" in the process of digital intelligence transformation and empowerment of new quality productivity of enterprises. Thirdly, by including the industry competitive intensity at the macro level as a moderating variable, the boundary conditions of the impact of digital intelligence transformation on the new quality productivity of enterprises are further clarified, which is helpful to clarify the complex and diverse relationship between them and enrich the relevant research on the dynamic resource-based view.

技术交易是创新成果转化的主要形式，研究多维邻近性对技术交易的影响可以发现目前技术交易关系形成的内在驱动力，为制定成果转化政策提供理论依据。文章以中国集成电路专利转让数据为基础，采用指数随机图模型（ERGM），分析交易主体的多维邻近性、内生结构依赖对技术交易关系形成的影响。结果表明：地理邻近性对技术交易无明显作用；技术和制度邻近性在最近三年才开始对技术交易产生影响；组织邻近性作用所占比重逐渐增加；社会邻近性一直发挥着较为稳定的促进作用。同时，对网络内生结构依赖研究发现：企业倾向与交易活跃的主体建立交易关系；具有直接交易关系的企业也很可能会通过间接联系完成二次交易，而只具有间接联系的企业则很难主动建立直接交易关系。该结论验证了技术交易的影响因素，有助于引导产业创新，提高科技成果转化率。

Technology transaction is the main form of the transformation of innovation achievements. Studying the impact of multidimensional proximity on technology transaction can reveal the internal driving force of the current technology transaction relationship, and provide a theoretical basis for fomulating achievement transformation policy. Based on the Chinese integrated circuit patent transfer data, this paper uses the exponential random graph model (ERGM) to analyze the influence of multidimensional proximity and endogenous structural dependence of transaction entities on the formation of technical transaction relationships.The results show that geographical proximity has no obvious effect on technology transactions; technology and institutional proximity have only begun to affect technology transactions in the last three years; the proportion of organizational proximity has gradually increased; Social proximity has been playing a more stable role in promoting technology transactions. At the same time, research on the endogenous structure dependence of the network finds that enterprises tend to establish links with entities which have active transaction behavior; enterprises with direct transaction relationships will complete secondary transactions through indirect contacts, while enterprises with indirect links will not establish a direct transaction relationship actively.This conclusion verifies the influencing factors of technology transaction, which is helpful to guide industrial innovation and improve the the rate of technology transfer.