International protection of intellectual property rights: a stochastic frontier index

Jose Fernandez Donoso () and Fernando Hernandez

No 41, Serie Working Papers from Universidad del Desarrollo, School of Business and Economics

Abstract: This paper combines two bodies of work: the literature regarding the measurement of the strength of intellectual property rights (IPR) protection systems and stochastic production frontier efficiency analysis. We propose measuring the efficiency of IPR protection systems by comparing optimal production frontier of innovation to real results, through a measure based on the existing Stochastic Frontier Analysis of technical efficiency. Our results indicate that, despite imperfect datasets, this approach provides interesting results comparable to measures in Park (2008) and other IPR strength indicators. Some issues to be further explored longer datasets and richer information, and innovation measurements. This paper also adds some evidence to the idea of an inverted U relationship between innovation output and IPR protection system strength.

Keywords: Intellectual property; Innovation; Global Innovation Index; Patent applications; Economic development; Stochastic frontier analysis; Fixed effects (search for similar items in EconPapers)
Pages: 23 pages
Date: 2017-05
New Economics Papers: this item is included in nep-eff, nep-ino, nep-ipr, nep-knm and nep-sbm
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://repositorio.udd.cl/bitstream/handle/11447/1477/wp41.pdf?sequence=1 (application/pdf)

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:dsr:wpaper:41

Access Statistics for this paper

More papers in Serie Working Papers from Universidad del Desarrollo, School of Business and Economics Contact information at EDIRC.
Bibliographic data for series maintained by Jean Sepulveda ().