EconPapers    
Economics at your fingertips  
 

R&D intensity, economic growth and firm-size growth: theory and practice

Oscar Afonso

Applied Economics, 2016, vol. 48, issue 32, 2973-2993

Abstract: This article proposes a theoretical knowledge-driven horizontal research and development (R&D) endogenous-growth model to explain, for 10 innovative countries, the co-movement of the respective R&D intensity, economic growth and firm-size growth, by exploring short-medium-run and long-run growth effects. Bearing in mind some recent literature, we improve the R&D technology, by considering that R&D is more labour intensive through time as complexity increases, that the diffusion of designs is affected by coordination, organizational and transportation costs, and that a potential entrant will come up with the right idea is reduced because of the presence of a larger number of entrants. We show that when the economy is not initially in a steady state, it can take a saddle path towards the unique and locally saddle-path stable interior steady state. Both transitional-dynamics and steady-state behaviours of our theoretical model are then consistent with, respectively, the time-series and the cross-sectional evidence.

Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2015.1133896 (text/html)
Access to full text is restricted to subscribers.

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:taf:applec:v:48:y:2016:i:32:p:2973-2993

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036846.2015.1133896

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:applec:v:48:y:2016:i:32:p:2973-2993