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A Non-linear Development Dynamics of Capital Accumulation, Distribution and Technological Innovation

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  • Gilberto Tadeu Lima

    (FEA-USP)

Abstract

It is elaborated a development dynamic model of accumulation, growth and distribution in which endogenous technological innovation plays a significant role. Firms’ rate of labour-saving technological innovation is made to depend non-linearly on the distributive (wage and profit) shares, with the latter determining both the incentives to innovate and the availability of funding to carry it out. As it turns out, the direction and the intensity of the effect of a change in distribution on the rates of accumulation and growth depend on the prevailing distribution, with a similar dependence applying – alongside the relative bargaining power of capitalists and workers – to the dynamic stability properties of the system. Hence, the model does not rely on full capacity utilisation being reached for a change in the accumulation and growth regime to take place.

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Bibliographic Info

Paper provided by ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics] in its series Anais do XXXI Encontro Nacional de Economia [Proceedings of the 31th Brazilian Economics Meeting] with number b05.

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Date of creation: 2003
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Handle: RePEc:anp:en2003:b05

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Keywords: capital accumulation; distribution; technological innovation;

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  1. Rowthorn, R E, 1977. "Conflict, Inflation and Money," Cambridge Journal of Economics, Oxford University Press, vol. 1(3), pages 215-39, September.
  2. Dutt, Amitava Krishna, 1984. "Stagnation, Income Distribution and Monopoly Power," Cambridge Journal of Economics, Oxford University Press, vol. 8(1), pages 25-40, March.
  3. Roland Benabou, 1997. "Inequality and Growth," NBER Working Papers 5658, National Bureau of Economic Research, Inc.
  4. Burnside, Craig & Eichenbaum, Martin, 1996. "Factor-Hoarding and the Propagation of Business-Cycle Shocks," American Economic Review, American Economic Association, vol. 86(5), pages 1154-74, December.
  5. Perotti, Roberto, 1996. " Growth, Income Distribution, and Democracy: What the Data Say," Journal of Economic Growth, Springer, vol. 1(2), pages 149-87, June.
  6. Julio J. Rotemberg & Michael Woodford, 1989. "Oligopolistic Pricing and the Effects of Aggregate Demand on Economic Activity," NBER Working Papers 3206, National Bureau of Economic Research, Inc.
  7. Chevalier, Judith A & Scharfstein, David S, 1996. "Capital-Market Imperfections and Countercyclical Markups: Theory and Evidence," American Economic Review, American Economic Association, vol. 86(4), pages 703-25, September.
  8. Rotemberg, Julio J. & Woodford, Michael, 1999. "The cyclical behavior of prices and costs," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 16, pages 1051-1135 Elsevier.
  9. Atkinson, Anthony B & Stiglitz, Joseph E, 1969. "A New View of Technological Change," Economic Journal, Royal Economic Society, vol. 79(315), pages 573-78, September.
  10. Gilberto Tadeu Lima, 2000. "Market concentration and technological innovation in a dynamic model of growth and distribution," BNL Quarterly Review, Banca Nazionale del Lavoro, vol. 53(215), pages 447-475.
  11. Bils, Mark, 1987. "The Cyclical Behavior of Marginal Cost and Price," American Economic Review, American Economic Association, vol. 77(5), pages 838-55, December.
  12. You, Jong-Il, 1994. "Macroeconomic Structure, Endogenous Technical Change and Growth," Cambridge Journal of Economics, Oxford University Press, vol. 18(2), pages 213-34, April.
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