Cultural preference on fertility and the long-run growth effects of intellectual property rights
Angus Chu () and
Guido Cozzi ()
MPRA Paper from University Library of Munich, Germany
How does patent policy affect long-run economic growth through the population growth rate? To analyze this question, we develop an R&D-based growth model with endogenous fertility. In recent vintages of R&D-based growth models in which scale effects are absent, the long-run growth rate depends on the population growth rate that is assumed to be exogenous. In this study, we develop a semi-endogenous-growth version of the quality-ladder model with endogenous fertility and human-capital accumulation to analyze an unexplored interaction between intellectual property rights, endogenous fertility and economic growth. We find that strengthening patent protection has a surprisingly negative effect on technological progress in the long run through endogenous fertility. Furthermore, a stronger cultural preference on fertility tends to magnify this negative effect of patent policy on long-run growth.
Keywords: economic growth; endogenous fertility; patent policy (search for similar items in EconPapers)
JEL-codes: O34 O31 O40 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dev, nep-dge, nep-fdg, nep-ipr and nep-pr~
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/29059/1/MPRA_paper_29059.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/31283/1/MPRA_paper_31283.pdf revised version (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:29059
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Series data maintained by Joachim Winter ().