商标
情感(语言学)
业务
经济相互依存
经济地理学
专利分析
产业组织
经济
计算机科学
政治学
数据科学
社会学
沟通
法学
中国
操作系统
作者
Andrea Fronzetti Colladon,Barbara Guardabascio,F. Venturini
出处
期刊:Cornell University - arXiv
日期:2023-01-01
标识
DOI:10.48550/arxiv.2308.00014
摘要
How does technological interdependence affect a sector's ability to innovate? This paper answers this question by looking at knowledge interdependence (knowledge spillovers and technological complementarities) and structural interdependence (intersectoral network linkages). We examine these two dimensions of technological interdependence by applying novel methods of text mining and network analysis to the documents of 6.5 million patents granted by the United States Patent and Trademark Office (USPTO) between 1976 and 2021. We show that both dimensions positively affect sector innovation. While the impact of knowledge interdependence is slightly larger in the long-term horizon, positive shocks affecting the network linkages (structural interdependence) produce greater and more enduring effects on innovation performance in a relatively short run. Our analysis also highlights that patent text contains a wealth of information often not captured by traditional innovation metrics, such as patent citations.
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