This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Investigating Collaborat ive R&D Using Patent Data: The Case Study of Robot Technology in Japan

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Sebast ien Lechevalier
Yukio Ikeda
Junichi Nishimura
Abstract

The growing trend of collaborative R&D has been well documented recently, both at a global level and through national and industry case studies. However, there is not yet any consensus regarding the following decisive questions: what are the exact level and evolution of R&D collaboration? What are the benefits of collaboration? What are the motives and determinants of firms engaging in R&D collaboration? In our opinion, these questions have not yet been answered due to the limitations of the data used in most empirical studies (large questionnaire surveys or very specific case studies). The main novelty of this paper is the use of patent data with a focus on information concerning inventors. These data are less biased than questionnaire surveys in terms of the size of the institutions; they are objective and are particularly appropriate for analyzing the benefits of collaboration. As the identification of the institutions to which individual inventors are affiliated is a particularly time consuming task, we focus on robot technology in Japan since the beginning of the 1990s. Our results are as follows. First, although the level of R&D collaboration in RT in Japan increased between 1991 and 2004, especially in the case of collaboration between firms and universities, it still remains low and is dominated by inter-firm collaborations. Second, we cannot definitively reject the conclusion that only the scale of the research has an impact on the quality of patents, when the unit of analysis is the patent; however, we show that there are significant spillover effects of collaboration, which imply an indirect effect on quality. Third, the determinants and motives which encourage firms to decide to engage in collaborative research differ depending on the partner they are collaborating with. In the case of collaboration with other firms, IO theories hold, as the existence of spillovers acts as an incentive. Regarding the collaboration with universities and public research institutes, the validity of capability theory, which emphasizes the quest for complementary knowledge and capability, is confirmed by our empirical investigation.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.ier.hit-u.ac.jp/Common/publication/DP/DP498.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Institute of Economic Research, Hitotsubashi University in its series Discussion Paper Series with number a498.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: Sep 2007
Date of revision:
Handle: RePEc:hit:hituec:a498

Contact details of provider:
Postal: 2-1 Naka, Kunitachi City, Tokyo 186
Phone: +81-42-580-8327
Fax: +81-42-580-8333
Email:
Web page: http://www.ier.hit-u.ac.jp/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Hiromichi Miyake).

Related research
Keywords: collaborative R&D; robot technology; patent data;

Find related papers by JEL classification:
O31 - Economic Development, Technological Change, and Growth - - Technological Change - - - Innovation and Invention: Processes and Incentives
O32 - Economic Development, Technological Change, and Growth - - Technological Change - - - Management of Technological Innovation and R&D
O34 - Economic Development, Technological Change, and Growth - - Technological Change - - - Intellectual Property Rights

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? IDEAS indexes over 800000 items of research in Economics alone.

This page was last updated on 2009-10-29.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.