In knowledge we trust: Learning-by-interacting and the productivity of inventors

Autor: Matteo Tubiana, Ernest Miguelez, Rosina Moreno
Přispěvatelé: Bordeaux Sciences Economiques (BSE), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Groupe de Recherche en Economie Théorique et Appliquée (GREThA), Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB), Admin, Oskar, Miguelez, Ernest
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Research Policy
Research Policy, Elsevier, 2022, 51 (1), pp.104388. ⟨10.1016/j.respol.2021.104388⟩
Dipòsit Digital de la UB
Universidad de Barcelona
ISSN: 0048-7333
Popis: Innovation rarely happens through the actions of a single person. Innovators source their ideas while interacting with their peers, at different levels and with different intensities. In this paper, we exploit a dataset of disambiguated inventors in European cities to assess the influence of their interactions with co-workers, organizations’ colleagues, and geographically co-located peers, to understand if the different levels of interaction influence their productivity. Following inventors’ productivity over time and adding a large number of fixed effects to control for unobserved heterogeneity, we uncover critical facts, such as the importance of city knowledge stocks for inventors’ productivity, with firm knowledge stocks and network knowledge stocks being of smaller importance. However, when the complexity and quality of knowledge is accounted for, the picture changes upside down and closer interactions (individuals’ co-workers and firms’ colleagues) become way more important.
Databáze: OpenAIRE