Convergence: International comparisons based on a simultaneous equation model with regional effects
Bernard Fingleton ()
International Review of Applied Economics, 2000, vol. 14, issue 3, 285-305
Abstract:
A structural model incorporating regional effects is fitted to cross-sectional data for 60 countries. The model integrates various strands in the literature, including the dynamic Verdoorn Law linking productivity growth to output growth, and relationships between educational attainment, trade and innovativeness. Most notably, the structural model supports the thesis that a country's innovativeness and, consequently, capital stock growth, depend on the level of technology in the 'surrounding' region.The approach adopted is set within the context of the theoretical and empirical analysis of increasing returns and cumulative causation. However, the resulting parameter estimates lead to a reduced form that implies convergence to an equilibrium rather than divergent productivity levels. The equilibrium productivity level ratios (vis-a-vis the USA) indicate that countries are converging on different levels, although a group does attain the USA productivity level.
Date: 2000
References: Add references at CitEc
Citations: View citations in EconPapers (16)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/02692170050084042 (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:irapec:v:14:y:2000:i:3:p:285-305
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CIRA20
DOI: 10.1080/02692170050084042
Access Statistics for this article
International Review of Applied Economics is currently edited by Professor Malcolm Sawyer
More articles in International Review of Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().