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Collection: Faculty Working Papers  
 
Title Thought for Food: A New Dataset on Innovation for Agricultural Use
Author Johnson, Daniel K. N.
Hughes, Christopher Ryan
Type of Resource text
Digital Origin born digital
Date Created 2009-06-08
Abstract 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.
Keywords agriculture
patent
data
concordance
Rights Statement Copyright restrictions apply. Contact the author for permission to publish.
Note (admin) Acquired as PDF from Colorado College Department of Economics and Business. Converted to PDF/A1.b using Adobe Acrobat Professional.
Publisher Colorado College
Place of Publication Colorado Springs, Colorado
Local Identifier 2009-03
Handle http://hdl.handle.net/10176/coccc:2164
 
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Name Description MIMEType Size Downloads
ThoughtforFood.pdf   master application/pdf 862.07KB 0

 
 
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Created: Tue, 12 Jan 2010, 08:42:43 MST by Christine Ashlock (admin) . Detailed History