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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
Colorado College - Department of Economics and Business


June 8, 2009

Colorado College Working Paper No. 2009-03

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

JEL Classifications: O13, O30, O34, Q10, Q16

Working Paper Series

Date posted: June 10, 2009 ; Last revised: June 10, 2009

Suggested Citation

Johnson, Daniel K. N. and Hughes, Christopher Ryan, Thought for Food: A New Dataset on Innovation for Agricultural Use (June 8, 2009). Colorado College Working Paper No. 2009-03. Available at SSRN: http://ssrn.com/abstract=1416462


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Contact Information

Daniel Kent Neil Johnson (Contact Author)
Colorado College - Department of Economics and Business ( email )
Colorado Springs, CO 80903
United States
719-389-6654 (Phone)
719-389-6927 (Fax)
HOME PAGE: http://faculty1.coloradocollege.edu/~djohnson
Christopher Ryan Hughes
Colorado College - Department of Economics and Business ( email )
Colorado Springs, CO 80903
United States
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