An empirical test for general purpose technology: An examination of the Cohen-Boyer rDNA technology

Abstract

General purpose technologies (GPTs) provide fundamental breakthroughs that transform industries and provide a platform for increased productivity. While a large theoretical literature describes GPT characteristics there has been little empirical work that measures the attributes of GPTs. Our analysis focuses on patents associated with the Cohen-Boyer rDNA patents, a credible GPT candidate. We empirically test our predictions about technological complementarity, applicability and discontinuity against a control group of patents with similar origins. Our results suggest that the characteristics of GPTs may be discernable through the analysis of patent data. © The Author 2011. Published by Oxford University Press on behalf of Associazione ICC. All rights reserved.