IDEAS home Printed from https://ideas.repec.org/p/cdp/texdis/td598.html
   My bibliography  Save this paper

Atividade econômica e inovação na indústria brasileira: uma análise com dados em painel (2010-2016)

Author

Listed:
  • Gilberto Libânio

    (Cedeplar-UFMG)

  • Marco Flávio Resende

    (Cedeplar-UFMG)

  • Débora Freire

    (Cedeplar-UFMG)

  • Rosa Lívia Gonçalves Montenegro

    (UFSJ)

Abstract

The aim of the present work is to analyze the relationship between the level of economic activity and technological innovation in Brazilian industry from 2010 to 2016. The central hypothesis of the paper is that the greater the economic activity, the higher the positive impact on the innovation rate, through channels such as the increase in investments in fixed capital and the improvement in the financing conditions for innovation activities. The analysis is based on a database of the first six years of the survey called Innovation Survey in which it was possible to obtain a panel segmented by four blocks of industrial sectors. These data were analyzed by means of panel data regression model that reveals the temporal evolution of the relation between the level of industrial activity and the rate of innovation of firms. The main result suggests that the overcoming of the current crisis and the consequent recovery of economic activity are important elements for the increase of innovation rates in the Brazilian industry.

Suggested Citation

  • Gilberto Libânio & Marco Flávio Resende & Débora Freire & Rosa Lívia Gonçalves Montenegro, 2019. "Atividade econômica e inovação na indústria brasileira: uma análise com dados em painel (2010-2016)," Textos para Discussão Cedeplar-UFMG 598, Cedeplar, Universidade Federal de Minas Gerais.
    • Handle: RePEc:cdp:texdis:td598
    as

    Download full text from publisher

    File URL: https://www.cedeplar.ufmg.br/pesquisas/td/TD%20598.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Innovation; Financing; Economic activity; Panel data;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdp:texdis:td598. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Gustavo Britto (email available below). General contact details of provider: https://edirc.repec.org/data/pufmgbr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.