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On endogenous growth and Increasing Returns: Modelling learning-by-doing and the division of Labor

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  • N. De Liso
  • G. Filatrella
  • N. Weaver

Abstract

This paper discusses those sources of endogenous growth arising from labor as labor. It uses a production function which models the returns to scale as a function of the division of labor and learning. Smithian analysis of the labor process constitutes the basis upon which we build our own approach. The dynamics, therefore, drawn upon are more classical in style than those suggested by Arrow`s (1962) article.

Suggested Citation

  • N. De Liso & G. Filatrella & N. Weaver, 1999. "On endogenous growth and Increasing Returns: Modelling learning-by-doing and the division of Labor," Working Papers 336, Dipartimento Scienze Economiche, Universita' di Bologna.
    • Handle: RePEc:bol:bodewp:336
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    Cited by:

    1. Nicola De Liso & Carmine Lubritto & Giovanni Filatrella, 2001. "Increasing Returns, Learning-By-Doing And Neural Networks," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 10(4), pages 325-337.
    2. Dosi, Giovanni & Grazzi, Marco & Mathew, Nanditha, 2017. "The cost-quantity relations and the diverse patterns of “learning by doing”: Evidence from India," Research Policy, Elsevier, vol. 46(10), pages 1873-1886.
    3. Humphries, Shoana & Holmes, Thomas & Andrade, Dárlison Fernandes Carvalho de & McGrath, David & Dantas, Jeremias Batista, 2020. "Searching for win-win forest outcomes: Learning-by-doing, financial viability, and income growth for a community-based forest management cooperative in the Brazilian Amazon," World Development, Elsevier, vol. 125(C).
    4. Lueger, Tim, 2019. "The Population Question in a Neoclassical Growth Model. A Brief Theory of Production per Capita," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 112079, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

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