EconPapers    
Economics at your fingertips  
 

Sectoral specialisation in an evolutionary growth model with a Kaldorian flavour

André Lorentz

International Journal of Computational Economics and Econometrics, 2015, vol. 5, issue 3, 319-344

Abstract: This paper analyses the emergence of sectoral specialisation and its effects on growth rate differences. First, we investigate the conditions allowing sectoral specialisation. Second, we investigate the relationship between specialisation patterns and growth patterns. The paper develops an agent-based growth that draws on both the Kaldorian growth literature and the Evolutionary literature on technical change. Following the Kaldorian tradition, economic growth is driven by the aggregate demand dynamics, constrained by the balance of payment. The micro-foundations of technical change are standard in the Evolutionary literature: firms develop their production capacities using R%D and are subject to selection mechanisms. Two regimes of specialisation emerge from the simulations, one driven by technological change dynamics, the second driven by the evolution of the demand structure. For each regime, the sectoral specialisation leads to growth rate differences. In the technology-driven regime these differences remain transitory, while in the demand-driven regime, they are permanent.

Keywords: sectoral specialisation; economic growth; technological change; cumulative causation; evolutionary modelling; growth rate; Nicholas Kaldor; aggregate demand dynamics; balance of payments; agent-based systems; multi-agent systems; MAS; simulation; R%D; research and development; demand structure. (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.inderscience.com/link.php?id=70617 (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:ids:ijcome:v:5:y:2015:i:3:p:319-344

Access Statistics for this article

More articles in International Journal of Computational Economics and Econometrics from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-22
Handle: RePEc:ids:ijcome:v:5:y:2015:i:3:p:319-344