A public sector knowledge production function
Albert Link and
Martijn van Hasselt
Economics Letters, 2019, vol. 175, issue C, 64-66
Abstract:
There are no studies of the R&D-to-patenting relationship at the federal agency level. We estimate a public sector knowledge production function using federal agency patent application data over the years 2003 through 2014. We find that the patent application elasticity with respect to per capita R&D spending is about 1.06. This measure might be interpreted as one dimension of the social returns to public sector R&D generated through newly created knowledge.
Keywords: Patents; R&D; Knowledge production function; Technology transfer (search for similar items in EconPapers)
JEL-codes: H11 O31 O33 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176518305202
Full text for ScienceDirect subscribers only
Related works:
Working Paper: A Public Sector Knowledge Production Function (2019) 
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:eee:ecolet:v:175:y:2019:i:c:p:64-66
DOI: 10.1016/j.econlet.2018.12.025
Access Statistics for this article
Economics Letters is currently edited by Economics Letters Editorial Office
More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().