Modeling economic growth fuelled by science and technology

Américo Tristão Bernardes, Ricardo Machado Ruiz, Leonardo Ribeiro and Eduardo Albuquerque
Additional contact information
Américo Tristão Bernardes: UFOP
Ricardo Machado Ruiz: Cedeplar-UFMG

Textos para Discussão Cedeplar-UFMG from Cedeplar, Universidade Federal de Minas Gerais

Abstract: This paper suggests a simulation model to investigate how science and technology fuel economic growth. This model is built upon a synthesis of technological capabilities represented by national innovation systems. This paper gathers data of papers and patents for 183 countries between 1999 and 2003, GDP and population for 2003. These data show a strong correlation between science, technology and income. Three simulation exercises are performed. Feeding our algorithm with data for population, patents and scientific papers, we obtain the world income distribution (R=0.99). These results support our conjecture on the role of science and technology as a source of the wealth of nations.

Keywords: simulation models; systems of innovation; economic growth (search for similar items in EconPapers)
JEL-codes: O10 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2006-08
New Economics Papers: this item is included in nep-ino
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.cedeplar.ufmg.br/pesquisas/td/TD%20294.pdf (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:cdp:texdis:td294

Ordering information: This working paper can be ordered from
Cedeplar-FACE-UFMG Av. Antonio Carlos, 6627 Belo Horizonte, MG 31270-901 Brazil

Access Statistics for this paper

More papers in Textos para Discussão Cedeplar-UFMG from Cedeplar, Universidade Federal de Minas Gerais Cedeplar-FACE-UFMG Av. Antonio Carlos, 6627 Belo Horizonte, MG 31270-901 Brazil. Contact information at EDIRC.
Bibliographic data for series maintained by Gustavo Britto ().