In this study, we attempted to fill a gap that literature has yet to investigate: the impact of global innovation network on industry performance. Based on 3D printing patent data, this paper builds a cooperative innovation network of 34 economies for six years. It represents the network characteristics of each economy through 204 network attribute indicators. The panel data model is used to study the relationship between global innovation network characteristics and the R&D efficiency and the income of the main business of the 3D printing industry. The input and output data for the R&D efficiency of the 3D printing industry is derived from the Wohlers Report. R&D efficiency indicator values are measured by the Malmquist Productivity Index model based on DEA. The research results show that the global innovation network centrality indicators, structural hole indicators and clustering coefficient indicators have significant correlation with industrial performance. The research conclusions will provide theoretical support for various economies to formulate global innovation strategies and policies of 3D printing industry.

中文翻译：

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全球创新网络对3D打印行业绩效的影响研究

在这项研究中，我们试图填补文献尚未调查的空白：全球创新网络对行业绩效的影响。本文基于3D打印专利数据，历时6年构建34个经济体的合作创新网络。它通过204个网络属性指标来代表各个经济体的网络特征。面板数据模型用于研究全球创新网络特征与3D打印产业主业研发效率和收入的关系。3D打印行业研发效率的投入产出数据来源于Wohlers报告。研发效率指标值由基于 DEA 的 Malmquist Productivity Index 模型衡量。研究结果表明，全球创新网络中心性指标、结构洞性指标和集聚系数指标与产业绩效具有显着相关性。研究结论将为各经济体制定全球3D打印产业创新战略和政策提供理论支持。