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Identification of antitrust legal risk of patent pool by the method of structural equation model

机译:基于结构方程模型的专利池反托拉斯法律风险识别

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摘要

Antitrust legal risk of patent pool has important significance in theory and practice. This article applies mathematical statistics method and structural equation modeling to investigate patent pools in U.S., Europe, and China. This empirical research demonstrates that certain forms of constitution of patent pool generate positive impact on the outcome of antitrust legal risk against patent pool; certain restrictive licensing activities of patent pool generate positive impact on the occurrence of antitrust legal risk against patent pool.
机译:专利池的反托拉斯法律风险在理论和实践中具有重要意义。本文运用数学统计方法和结构方程模型来研究美国,欧洲和中国的专利池。这项实证研究表明,专利池的某些形式的构成会对针对专利池的反托拉斯法律风险的结果产生积极的影响。专利池的某些限制性许可活动对针对专利池的反托拉斯法律风险的发生产生积极影响。

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