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