Extensive growth of inventions: Evidence from U.S. patenting

IF 12.9 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-08-10 DOI:10.1016/j.techfore.2024.123586
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Abstract

Despite the seemingly fast development and wide diffusion of technologies in recent decades, concerns have been raised as to whether invention is slowing down. A question has also arisen as to whether the vast accumulation of technical knowledge, instead of speeding up the productivity of subsequent knowledge creation, has, on the contrary, become a “burden of knowledge” that makes it harder to find new ideas. We engage with these concerns by examining nearly 7 million utility patents granted by the U.S. Patent Office and characterizing the growth process of patenting from 1976 to 2018. Although the rate of patenting has steadily increased, patenting productivity as measured as patents per distinct inventor has continuously declined in utility patents in general and for technological frontier fields of biotechnology, climate change mitigation and adaptation, and artificial intelligence. The rapid growth rate of new patents can be credited to an increase in the number of individuals engaged in inventive activity rather than improved productivity. In the U.S., the proportion of the population engaging in patenting has grown significantly. Nevertheless, the growth of the inventive labor force and new patents relies more heavily on experienced inventors than new inventors. As the size of patenting teams keeps growing, the typical inventor participates in a growing number of patents while representing a declining proportion of the inventive labor responsible for patented inventions. We find evidence that as the stock of accumulated patented inventions grows, patenting productivity declines, suggesting that past invention makes it harder for inventors to find new knowledge. In the language of economics, invention (as tracked by patenting) has experienced extensive growth driven by the increase of the inventive labor force with declining productivity and a growing division of labor.

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发明的广泛增长:美国专利申请的证据
尽管近几十年来技术的发展和广泛传播看似迅速,但人们还是担心发明是否正在放缓。还有一个问题是,大量技术知识的积累是否非但没有加快后续知识创造的生产力,反而成为了一种 "知识负担",使人们更难找到新创意。我们通过研究美国专利局授予的近700万项实用新型专利,并对1976年至2018年的专利增长过程进行分析,来探讨这些问题。虽然专利申请率稳步上升,但以每名独立发明人所获专利数衡量的专利生产率却在实用新型专利以及生物技术、减缓和适应气候变化以及人工智能等技术前沿领域持续下降。新专利的快速增长可以归功于从事发明活动的人数增加,而不是生产率的提高。在美国,从事专利申请的人口比例大幅增长。尽管如此,发明劳动力和新专利的增长在很大程度上依赖于有经验的发明人,而不是新的发明人。随着专利团队规模的不断扩大,典型发明人参与的专利数量越来越多,而在负责专利发明的发明劳动力中所占的比例却在下降。我们发现有证据表明,随着累积专利发明存量的增长,专利生产率也在下降,这表明过去的发明使发明者更难找到新知识。用经济学的语言来说,发明(通过专利申请跟踪)的增长是由发明劳动力的增加、生产率的下降和分工的不断扩大所驱动的。
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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