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Innovation diffusion enabler or barrier: An investigation of international patenting based on temporal exponential random graph models

机译:创新扩散推动者或障碍:基于时间指数随机图模型的国际专利调查

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摘要

The past two decades have witnessed a rapid growth of foreign patenting, accounting for an average of 15.4% of all patents filed under the Patent Cooperation Treaty (PCT) in the critical technology domains. This study explores two hypotheses in explaining this worldwide phenomenon in the networked relationships, that is, market covering and competitive threat. International patenting networks (IPN) over the period 1999 to 2018 are established using the dataset of cross-border ownership patents from 89 countries released from OECD's Directorate for Science, Technology and Industry. The temporal exponential random graph models (TERGMs) are formulated to test the two hypotheses, proxied by import network and competitive import network, conditioning on country-specific, network self-organizing, and exogenous network characteristics. Results of this study lend support to market covering hypothesis, that is, higher exports lead to greater propensity to patent abroad. This finding identifies international patenting as an enabler of innovation diffusion rather than a barrier. Furthermore, results of controlling variables indicate technological distance exerts an inhibiting effect, whereas charges for intellectual property rights has a promoting influence on IPN evolution, thus shedding light on the catching up of developed economies.
机译:过去二十年目睹了外国专利的快速增长,占关键技术领域专利合作条约(PCT)根据专利合作条约提交的所有专利的15.4%。本研究探讨了两个假设在网络关系中解释全球现象,即市场覆盖和竞争威胁。在1999年至2018年期间的国际专利网络(IPN)是使用从经合组织科学,技术和工业总局发布的89个国家的跨境所有权专利的数据集建立。将时间指数随机图模型(Tergms)配制成测试由进口网络和竞争进口网络的代理,调节国家特定,网络自组织和外源网络特征的两个假设。该研究的结果借给市场覆盖假设的支持,即较高的出口导致国外专利的更大倾向。这一发现将国际专利识别为创新扩散的推动者而不是障碍。此外,控制变量的结果表明技术距离发挥了抑制作用,而知识产权的收费对IPN演变具有促进影响,因此阐明了发达经济体的阐明。

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