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O papel da produção de conhecimento tecnológico na internacionalização das empresas industriais brasileiras

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  • Luiz Alberto Esteves

    (Department of Economics, Universidade Federal do Paraná)

Abstract

The aim of this paper is to estimate the effect of manufacturing Brazilian firms´ knowledge production on their conditional probability of internationalization. In this way, an empirical study using (i) microdata from World Bank Investment Climate, Brazil 2003 and (ii) nonlinear instrumental variables regression method is provided. Our finding suggests that manufacturing firms´ conditional probability of starting to export can be increased from 23 until 70 percent points, depending from firms’ capacity to innovate.

Suggested Citation

  • Luiz Alberto Esteves, 2009. "O papel da produção de conhecimento tecnológico na internacionalização das empresas industriais brasileiras," Working Papers 0090, Universidade Federal do Paraná, Department of Economics.
    • Handle: RePEc:fup:wpaper:0090
    Note: Creation Date corresponds to the year in which the paper was published on the Department of Economics website. The paper may have been written a small number of months before its publication date.
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    References listed on IDEAS

    as
    1. Yatchew, Adonis & Griliches, Zvi, 1985. "Specification Error in Probit Models," The Review of Economics and Statistics, MIT Press, vol. 67(1), pages 134-139, February.
    2. Marc J. Melitz, 2003. "The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity," Econometrica, Econometric Society, vol. 71(6), pages 1695-1725, November.
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    Keywords

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    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
    • F10 - International Economics - - Trade - - - General
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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