竞赛(生物学)
基因复制
度量(数据仓库)
业务
外部性
实证研究
阻塞(统计)
考试(生物学)
重复数据消除
产业组织
工作(物理)
经济
计算机科学
微观经济学
计算机安全
数据挖掘
哲学
生态学
化学
古生物学
计算机网络
机械工程
工程类
认识论
基因
生物化学
生物
作者
Sonja Lück,Benjamin Balsmeier,Florian Seliger,Lee Fleming
出处
期刊:Management Science
[Institute for Operations Research and the Management Sciences]
日期:2020-03-13
卷期号:66 (6): 2677-2685
被引量:29
标识
DOI:10.1287/mnsc.2019.3521
摘要
Much work on innovation strategy assumes or theorizes that competition in innovation elicits duplication of research and that disclosure decreases such duplication. We validate this empirically using the American Inventors Protection Act (AIPA), three complementary identification strategies, and a new measure of blocked future patent applications. We show that AIPA—intended to reduce duplication, through default disclosure of patent applications 18 months after filing—reduced duplication in the U.S. and European patent systems. The blocking measure provides a clear and micro measure of technological competition that can be aggregated to facilitate the empirical investigation of innovation, firm strategy, and the positive and negative externalities of patenting. This paper was accepted by Joshua Gans, business strategy.
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