Co-patenting: An Analytic Tool for Cooperative Research and Development

✍ Scribed by Hiroyasu Inoue

• Publisher: Springer Japan
• Year: 2020
• Tongue: English
• Leaves: 123
• Series: Evolutionary Economics and Social Complexity Science 21
• Edition: 1st ed. 2020
• Category: Library

✦ Synopsis

This is the first book that comprehensively analyses co-patenting in Japan and the U.S., which directly signifies collaborations between firms and inventors, using the methodology of network science. Network science approaches enable us to analyse the structures of co-patenting networks. In addition, generative models in network science estimate the probability of new connections between nodes, which enables us to discuss the temporal development of networks. On the other hand, regression analyses, which are broadly used in the field of economics, may be effective for determining what attributes are important for firms and inventors that are going to be connected, but such techniques cannot consider the complexity of networks. This book compiles a series of studies by the author on geographical location and co-patenting using data that were published in eight academic journal articles. This book gives the reader ideas about how we can utilize patent data to understand how firms and inventors collaborate under the effect of complex networks.

✦ Table of Contents

Front Matter ....Pages i-xii
Introduction (Hiroyasu Inoue)....Pages 1-8
Collaboration Networks on Inventors and Firms (Hiroyasu Inoue)....Pages 9-40
The Innovator’S Dilemma in Collaboration (Hiroyasu Inoue)....Pages 41-56
Agglomeration of Establishment Location (Hiroyasu Inoue)....Pages 57-69
Agglomeration of Establishment Co-patenting (Hiroyasu Inoue)....Pages 71-82
Community of Establishment Networks (Hiroyasu Inoue)....Pages 83-92
Generative Model: Distance and Past Connection (Hiroyasu Inoue)....Pages 93-101
Generative Model: Intertexture of Firm and Inventor (Hiroyasu Inoue)....Pages 103-114

✦ Subjects

Statistics; Statistics for Business/Economics/Mathematical Finance/Insurance; Innovation/Technology Management; Economic Theory/Quantitative Economics/Mathematical Methods; IT in Business