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Network effects in a human capital based economic growth model

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  • Vaz Martins, Teresa
  • Araújo, Tanya
  • Augusta Santos, Maria
  • St Aubyn, Miguel

Abstract

We revisit a recently introduced agent model [ACS, 11, 99 (2008)], where economic growth is a consequence of education (human capital formation) and innovation, and investigate the influence of the agents’ social network, both on an agent’s decision to pursue education and on the output of new ideas. Regular and random networks are considered. The results are compared with the predictions of a mean field (representative agent) model.

Suggested Citation

  • Vaz Martins, Teresa & Araújo, Tanya & Augusta Santos, Maria & St Aubyn, Miguel, 2009. "Network effects in a human capital based economic growth model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(11), pages 2207-2214.
    • Handle: RePEc:eee:phsmap:v:388:y:2009:i:11:p:2207-2214
    DOI: 10.1016/j.physa.2009.02.006
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    References listed on IDEAS

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    1. Fagiolo, Giorgio & Dosi, Giovanni, 2003. "Exploitation, exploration and innovation in a model of endogenous growth with locally interacting agents," Structural Change and Economic Dynamics, Elsevier, vol. 14(3), pages 237-273, September.
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    4. Quentin Michard & Jean-Philippe Bouchaud, 2005. "Theory of collective opinion shifts: from smooth trends to abrupt swings," Science & Finance (CFM) working paper archive 500060, Science & Finance, Capital Fund Management.
    5. Silverberg, Gerald & Verspagen, Bart, 1994. "Collective Learning, Innovation and Growth in a Boundedly Rational, Evolutionary World," Journal of Evolutionary Economics, Springer, vol. 4(3), pages 207-226, September.
    6. Dopfer,Kurt (ed.), 2005. "The Evolutionary Foundations of Economics," Cambridge Books, Cambridge University Press, number 9780521621991, November.
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    8. Q. Michard & J.-P. Bouchaud, 2005. "Theory of collective opinion shifts: from smooth trends to abrupt swings," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 47(1), pages 151-159, September.
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    Cited by:

    1. Dong, Feng & Li, Yangfan & Li, Kun & Zhu, Jiao & Zheng, Lu, 2022. "Can smart city construction improve urban ecological total factor energy efficiency in China? Fresh evidence from generalized synthetic control method," Energy, Elsevier, vol. 241(C).

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