科学与技术网络中的战略互动：替代品还是互补品？
Strategic Interactions in Science and Technology Networks: Substitutes or Complements?
AI总结：
本文研究科学与技术网络中个体生产力受合作网络影响的机制，发现科学生产力促进技术生产力，但反之不成立，揭示了科学驱动的创新模式。
摘要：
本文发展了一种关于科学和技术同行效应的理论，研究个体的生产力如何响应其合作者的行为和网络位置，涵盖科学和发明活动。基于同时方程网络框架，模型预测每个活动的生产力随着 Katz-Bonacich 中心性变化而增加，该中心性捕捉了活动内和跨活动的战略互补性。为了检验这些预测，我们构建了癌症相关出版物和专利的全宇宙，并构建了合著者和合发明者网络，共同映射在两个领域活跃的研究人员的协作结构。使用基于外生双方面特征预测链接形成的工具变量方法，并结合社区固定效应以解决内生网络形成问题，我们发现作者和发明者的产出随着其网络中心性而增加，与理论一致。此外，科学生产力显著增强技术生产力，而技术产出对科学生产的反向影响不可检测，突显了不对称联系，符合以科学驱动的创新模型。这些发现提供了关于科学和发明同行效应联合动态的首次实证证据，强调了科学和技术共演化的微观基础，并揭示了如何利用协作结构设计政策以增强集体知识创造和后续创新。
英文摘要：
This paper develops a theory of scientific and technological peer effects to study how individuals' productivity responds to the behavior and network positions of their collaborators across both scientific and inventive activities. Building on a simultaneous equation network framework, the model predicts that productivity in each activity increases in a variation of the Katz-Bonacich centrality that captures within-activity and cross-activity strategic complementarities. To test these predictions, we assemble the universe of cancer-related publications and patents and construct coauthorship and coinventorship networks that jointly map the collaboration structure of researchers active in both spheres. Using an instrumental-variables approach based on predicted link formation from exogenous dyadic characteristics, and incorporating community fixed effects to address endogenous network formation, we show that both authors' and inventors' outputs rise with their network centrality, consistent with the theory. Moreover, scientific productivity significantly enhances technological productivity, while technological output does not exert a detectable reciprocal effect on scientific production, highlighting an asymmetric linkage aligned with a science-driven model of innovation. These findings provide the first empirical evidence on the joint dynamics of scientific and inventive peer effects, underscore the micro-foundations of the co-evolution of science and technology, and reveal how collaboration structures can be leveraged to design policies that enhance collective knowledge creation and downstream innovation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
