Patenting in 4IR technologies and firm performance

Robots and jobs: evidence from US labor markets

Mario Benassi, Elena Grinza, Francesco Rentocchini and Laura Rondi

Industrial and Corporate Change, 2022, vol. 31, issue 1, 112-136

Abstract: We investigate whether firm performance is related to the accumulated stock of technological knowledge associated with the Fourth Industrial Revolution (4IR) and, if so, whether the firm’s history in 4IR technology development affects such a relationship. We exploit a rich longitudinal matched patent-firm data set on the population of large firms that filed 4IR patents at the European Patent Office (EPO) between 2009 and 2014, while reconstructing their patent stocks from 1985 onward. To identify 4IR patents, we use a novel two-step procedure proposed by EPO (2020, Patents and the Fourth Industrial Revolution: The Global Technology Trends Enabling the Data-Driven Economy, European Patent Office), based on Cooperative Patent Classification codes and on a full-text patent search. Our results show a positive and significant relationship between firms’ stocks of 4IR patents and labor and total factor productivity. We also find that firms with a long history in 4IR patent filings benefit more from the development of 4IR technological capabilities than later applicants. Conversely, we find that firm profitability is not significantly related to the stock of 4IR patents, which suggests that the returns from 4IR technological developments may be slow to be cashed in. Finally, we find that the positive relationship with productivity is stronger for 4IR-related wireless technology and for artificial intelligence, cognitive computing, and big data analytics.

Date: 2022
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Citations: View citations in EconPapers (9)

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