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Increasing returns to scale and international diffusion of technology: an empirical study for Brazil (1976-2000)

Author

Listed:
  • Francisco Horácio P. Oliveira
  • Frederico G. Jayme Jr.
  • Mauro B. Lemos

Abstract

This article aims at exploring the empirical evidence regarding the effects of increasing returns to scale and international technological diffusion on the Brazilian manufacturing industry. Our departure point is a Kaldorian-type theoretical model that provides not only the positive effects of scale but also of diffusion on industrial performance. We use Vector Auto Regressive (VAR) for testing the model. VAR will estimate the coefficients related to industrial output, labor productivity, exports and the technological gap between the United States and Brazil. This technique also provides simulations for the short-term and long-term trajectories under exogenous shocks. The observations are on a three-month period basis and the sampling period runs from the second half of 1976 to the second half of 2000. The conclusion highlights both evidences of increasing returns on the Brazilian industry that faces, however, some structural constraints. Besides, the model also reveals Brazil's difficulties to catch up

Suggested Citation

  • Francisco Horácio P. Oliveira & Frederico G. Jayme Jr. & Mauro B. Lemos, 2003. "Increasing returns to scale and international diffusion of technology: an empirical study for Brazil (1976-2000)," Textos para Discussão Cedeplar-UFMG td211, Cedeplar, Universidade Federal de Minas Gerais.
    • Handle: RePEc:cdp:texdis:td211
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    Cited by:

    1. Douglas Alencar & Frederico G. Jayme Jr & Gustavo Britto, 2021. "A post-Kaleckian model with productivity growth and real exchange rate applied to selected Latin American countries," PSL Quarterly Review, Economia civile, vol. 74(297), pages 127-146.
    2. Mario Cimoli & Wellington Pereira & Gabriel Porcile & Fábio Scatolin, 2011. "Structural change, technology, and economic growth: Brazil and the CIBS in a comparative perspective," Economic Change and Restructuring, Springer, vol. 44(1), pages 25-47, April.
    3. Douglas Alencar & Frederico G. Jayme & Gustavo Britto & Cláudio Puty, 2021. "Distribution and Productivity Growth: An Empirical Exercise Applied to Selected Latin American Countries," Review of Political Economy, Taylor & Francis Journals, vol. 33(3), pages 487-510, July.
    4. Marco Flávio da Cunha Resende & Daniela Almeida Raposo Torres, 2008. "National innovation system, competitiveness and economic growth," Textos para Discussão Cedeplar-UFMG td325, Cedeplar, Universidade Federal de Minas Gerais.
    5. Chao Chiung Ting, 2020. "Lucas Paradox, Declining Labor Share, Tendency of Rate of Profit to Fall of Karl Marx and Growth Theory of the Firm," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 12(9), pages 1-53, September.
    6. Marco Flávio da Cunha Resende & Daniela Almeida Raposo Torres, 2008. "National Innovation System, Trade Elasticities and Economic Growth," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807211110340, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    7. Gilberto Libânio & Sueli Moro, 2011. "Manufacturing Industryand Economic Growth in Latin America," Anais do XXXVII Encontro Nacional de Economia [Proceedings of the 37th Brazilian Economics Meeting] 86, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

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    More about this item

    Keywords

    technological gap; increasing returns to scale; economic growth; Brazil;
    All these keywords.

    JEL classification:

    • O0 - Economic Development, Innovation, Technological Change, and Growth - - General
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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