Patent Statistics as Indicators of Competition an Analysis of Patenting in Biotechnology

Parthasarathi Banerjee, B. M. Gupta and K. C. Garg
Additional contact information
Parthasarathi Banerjee: National Institute of Science, Technology & Development Studies (NISTADS)
B. M. Gupta: National Institute of Science, Technology & Development Studies (NISTADS)
K. C. Garg: National Institute of Science, Technology & Development Studies (NISTADS)

Scientometrics, 2000, vol. 47, issue 1, No 7, 95-116

Abstract: Abstract Numbers of patents cannot indicate the state of research or the contents of patent documentation cannot indicate the true technological features achieved. Patent statistics though so used, is not a good indicator of the economic returns to investments in research. Use of this statistics for understanding the degree of competition and the competition-driven research strategy is attractive. A patent document is part of the public knowledge in such a way as to restrict the growth of the future public knowledge. This portent on the future content of research and on the number and areas of research, by a current application is a competition-defining aspect. This effect on the lagged future applications and accepting patent disclosure as an intentional strategic data — are the most significant characteristics of patent statistics. The present paper applied this understanding, and generated a number of indices derived from data bases on patenting. These are indicators on Competition, Technology Pool, Language Technology Pool, Modified Competition, Market Attractiveness and on the Strength of Patent Market. Values of these indicators for biotechnological research and for several countries have been derived as example.

Date: 2000
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://link.springer.com/10.1023/A:1005669810018 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:47:y:2000:i:1:d:10.1023_a:1005669810018

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1023/A:1005669810018

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().