Patent Quality and Value in Discrete and Cumulative Innovation

Abstract

This article compares the relationship between patent quality and patent value in discrete and cumulative innovation. Using factor analysis and a set of various commonly used patent quality indicators including claims, citations and family size, we build a quality factor jointly driving all indicators for 9255 patents. We then test the significance of this quality factor for predicting patent renewal after 4, 8 and 12 years in an ordered logistic regression. Whereas we establish a robust and significant link between patent quality and value in samples of discrete and complex technology patents, there is no significant link for patents that are essential to technological standards. Consistently, neither the quality factor nor any single indicator allows predicting litigation on an essential patent. We conclude that while there is a robust link between patent quality and value in discrete innovation, this link is much weaker in cumulative innovation. Nevertheless, this affects only narrow, yet highly relevant, technological fields. There is no evidence that cumulativeness affects the relationship between quality and value in whole technological classes classified as “complex” by the literature.