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Modeling economic growth fuelled by science and technology

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Author Info
Américo Tristão Bernardes (UFOP)
Ricardo Machado Ruiz (Cedeplar-UFMG)
Leonardo Costa Ribeiro (UFMG)
Eduardo da Motta e Albuquerque (Cedeplar-UFMG)

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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.

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Publisher Info
Paper provided by Cedeplar, Universidade Federal de Minas Gerais in its series Textos para Discussão Cedeplar-UFMG with number td294.

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Length: 15 pages
Date of creation: Aug 2006
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Handle: RePEc:cdp:texdis:td294

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Related research
Keywords: simulation models systems of innovation economic growth

Find related papers by JEL classification:
O10 - Economic Development, Technological Change, and Growth - - Economic Development - - - General

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Richard R. Nelson, 2006. "Economic Development from the Perspective of Evolutionary Economic Theory," The Other Canon Foundation and Tallinn University of Technology Working Papers in Technology Governance and Economic Dynamics 02, TTU Institute of Humanities and Social Sciences. [Downloadable!]
  2. Dosi, Giovanni, 1997. "Opportunities, Incentives and the Collective Patterns of Technological Change," Economic Journal, Royal Economic Society, vol. 107(444), pages 1530-47, September. [Downloadable!] (restricted)
  3. Silverberg, Gerald & Verspagen, Bart, 2005. "A percolation model of innovation in complex technology spaces," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 225-244, January. [Downloadable!] (restricted)
    Other versions:
  4. Silverberg, Gerald & Dosi, Giovanni & Orsenigo, Luigi, 1988. "Innovation, Diversity and Diffusion: A Self-organisation Model," Economic Journal, Royal Economic Society, vol. 98(393), pages 1032-54, December. [Downloadable!] (restricted)
  5. Nelson, Richard R, 1998. "The Agenda for Growth Theory: A Different Point of View," Cambridge Journal of Economics, Oxford University Press, vol. 22(4), pages 497-520, July.
  6. Winter, S. G. & Kaniovski, Y. M. & Dosi, G., 2000. "Modeling industrial dynamics with innovative entrants," Structural Change and Economic Dynamics, Elsevier, vol. 11(3), pages 255-293, September. [Downloadable!] (restricted)
    Other versions:
  7. Richard R. Nelson, 1995. "Recent Evolutionary Theorizing about Economic Change," Journal of Economic Literature, American Economic Association, vol. 33(1), pages 48-90, March. [Downloadable!] (restricted)
  8. Bernardes, Americo Tristao & Albuquerque, Eduardo da Motta e, 2003. "Cross-over, thresholds, and interactions between science and technology: lessons for less-developed countries," Research Policy, Elsevier, vol. 32(5), pages 865-885, May. [Downloadable!] (restricted)
  9. Dosi, Giovanni, 1988. "Sources, Procedures, and Microeconomic Effects of Innovation," Journal of Economic Literature, American Economic Association, vol. 26(3), pages 1120-71, September. [Downloadable!] (restricted)
  10. Richard R. Nelson & Sidney G. Winter, 2002. "Evolutionary Theorizing in Economics," Journal of Economic Perspectives, American Economic Association, vol. 16(2), pages 23-46, Spring. [Downloadable!] (restricted)
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