Thought for Food: A New Dataset on Innovation for Agricultural Use
Daniel K. N. Johnson
Colorado College - Department of Economics and Business
Christopher Ryan Hughes
University of Bergen; Colorado College - Department of Economics and Business
June 8, 2009
Colorado College Working Paper No. 2009-03
Agriculture, like many primary and service sectors, is a frequent recipient of innovation intended for its use, even if those innovations originate in industrial sectors. The challenge has been identifying them from patent data, which are recorded for administrative purposes using the International Patent Classification (IPC) system. We reprogram a well-tested tool, the OECD Technology Concordance (OTC), to identify 16 million patents granted between 1975 and 2006 worldwide which have potential application in agriculture. This paper presents the methodology of that dataset’s construction, introduces the data via summaries by nation and industrial sector over time, and suggests some potential avenues for future exploration of empirical issues using these data.
Number of Pages in PDF File: 9
Keywords: agriculture, patent, data, concordance
JEL Classification: O13, O30, O34, Q10, Q16
Date posted: June 10, 2009
© 2016 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollobot1 in 0.188 seconds