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How Many Innovations Need to Be Produced in the Process of Endogenous Growth with Fluid Intelligence

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  • Harashima, Taiji

Abstract

In innovation-based endogenous (Schumpeterian) growth theory, the production of innovations is constrained basically by the finite nature of the labor supply. In this paper, I show that innovations are constrained because (1) the amount of fluid intelligence of researchers in an economy is limited and (2) the returns on investments in technologies and in capital are kept equal through arbitrage in markets. With these constraints, equilibrium values of the number of researchers and their average productivity in an economy exist, and the equilibrium value of average productivity determines the amount of innovation production in each period. Distributions of fluid intelligence among researchers are most likely heterogeneous across economies, but if economies are open to each other, an economy with a smaller number of researchers with a high level of fluid intelligence can grow at the same rate as an economy with more of them.

Suggested Citation

  • Harashima, Taiji, 2022. "How Many Innovations Need to Be Produced in the Process of Endogenous Growth with Fluid Intelligence," MPRA Paper 112813, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:112813
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    File URL: https://mpra.ub.uni-muenchen.de/112813/1/MPRA_paper_112813.pdf
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    References listed on IDEAS

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    1. Charles I. Jones, 1999. "Growth: With or Without Scale Effects?," American Economic Review, American Economic Association, vol. 89(2), pages 139-144, May.
    2. Charles I. Jones, 1995. "Time Series Tests of Endogenous Growth Models," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 495-525.
    3. Peretto, Pietro F, 1998. "Technological Change and Population Growth," Journal of Economic Growth, Springer, vol. 3(4), pages 283-311, December.
    4. Aghion, Philippe & Akcigit, Ufuk & Howitt, Peter, 2014. "What Do We Learn From Schumpeterian Growth Theory?," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 0, pages 515-563, Elsevier.
    5. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    6. Harashima, Taiji, 2010. "Sustainable Heterogeneity: Inequality, Growth, and Social Welfare in a Heterogeneous Population," MPRA Paper 22521, University Library of Munich, Germany.
    7. Alwyn Young, 1998. "Growth without Scale Effects," Journal of Political Economy, University of Chicago Press, vol. 106(1), pages 41-63, February.
    8. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    9. Dinopoulos, Elias & Thompson, Peter, 1998. "Schumpeterian Growth without Scale Effects," Journal of Economic Growth, Springer, vol. 3(4), pages 313-335, December.
    10. Harashima, Taiji, 2009. "A Theory of Total Factor Productivity and the Convergence Hypothesis: Workers’ Innovations as an Essential Element," MPRA Paper 15508, University Library of Munich, Germany.
    11. Harashima, Taiji, 2012. "A Theory of Intelligence and Total Factor Productivity: Value Added Reflects the Fruits of Fluid Intelligence," MPRA Paper 43151, University Library of Munich, Germany.
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    More about this item

    Keywords

    Endogenous growth; Fluid intelligence; Innovation; Production of innovation; Researchers;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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