Individual attributes and inventors matching: A study using data from the Brazilian co-patents network

Scientific Teams and Institutional Collaborations: Evidence from US Universities, 1981–1999

Alexandre Mejdalani and Eduardo Gonçalves

Science and Public Policy, 2022, vol. 49, issue 2, 302-312

Abstract: This paper uses a unique database that combines Brazilian patent data and personal microdata on formal employees from 2000 to 2011 to study the effect of inventor’s individual attributes on the propensity to cooperate. Our main contributions derive from (1) using a dominance coefficient decomposition to examine each individual’s returns based on the non-explicit hierarchy of the link and (2) finding what attributes inventors take into consideration when seeking working partnerships. The main results reveal that inventors tend to collaborate with others with similar educational background and centrality level, and there is a great likelihood of connectivity if educational and centrality levels are high. The dominance coefficient decomposition revealed that a type of social hierarchy emerges in the network.

Keywords: inventive partnerships; dominance coefficient decomposition; co-patents network; propensity to cooperate (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:oup:scippl:v:49:y:2022:i:2:p:302-312.

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