Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28913
Title: Identification of technological structures using patent statistics
Authors: Fung , MK 
Chow  , WW
Keywords: Innovation
Technological Structure
Patent Citation
Issue Date: 2003
Publisher: Routledge, Taylor & Francis Group
Source: Economics of innovation and new technology, 2003, v. 12, no. 4, p. 293-313 How to cite?
Journal: Economics of innovation and new technology 
Abstract: This paper studies the use of patent statistics in identifying four aspects of technological structure, namely, the potential knowledge pool, cumulativeness, inter-firm homogeneity in technology levels, and the scope of innovations. The firms are sampled from the chemical (CHEM), the computer (COM) and the electrical and electronic (EE) industries worldwide. Using the proxies defined, we find that (i) the contributions of intra-industry spillover are low, at 12%, 10%, and 9% for the three industries respectively; (ii) they can internalize 15%, 19% and 13% of their previous research efforts respectively; and (iii) a positive relationship between knowledge spillover and technology overlap, and between scope of innovation and number of patents being cited in future.
URI: http://hdl.handle.net/10397/28913
ISSN: 1043-8599
EISSN: 1476-8364
DOI: 10.1080/1043859022000000826
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

49
Last Week
1
Last month
Checked on Sep 18, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.