Patent Protection as a Tax on Competition and Innovation
Pedro Bento
No 13-13, Working Papers from Department of Economics, West Virginia University
Abstract:
I introduce patents into a general equilibrium model of innovation, where innovators choose between creating a new product market and competing in an existing market. Patent holders demand royalties from sequential innovators, but are constrained by the ability of innovators to work around patents. I show patent protection acts as a net tax on sequential innovators, reducing both competition and productivity growth. Calibrated to match moments from U.S. data, the model predicts that eliminating patent protection in the U.S. would generate a 23% increase in steady-state productivity growth as well as an increase in welfare equivalent to that from a 16% increase in annual consumption. I test several implications of the model using both U.S. and cross-country data. Consistent with the model, the data suggests an increase in the strength of patent protection reduces both productivity growth and the average quality of innovations.
Keywords: patent protection; competition; innovation; productivity; regulation; growth (search for similar items in EconPapers)
JEL-codes: O1 O4 (search for similar items in EconPapers)
Pages: 38 pages
Date: 2013-10
New Economics Papers: this item is included in nep-com, nep-dge, nep-gro, nep-ino, nep-ipr, nep-pr~ and nep-reg
References: Add references at CitEc
Citations:
Downloads: (external link)
https://researchrepository.wvu.edu/cgi/viewcontent ... =econ_working-papers (application/pdf)
Our link check indicates that this URL is bad, the error code is: 403 Forbidden
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wvu:wpaper:13-13
Access Statistics for this paper
More papers in Working Papers from Department of Economics, West Virginia University Contact information at EDIRC.
Bibliographic data for series maintained by Feng Yao ().