IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v51y2019i33p3632-3649.html
   My bibliography  Save this article

The missing link between innovation and performance in Brazilian firms: a panel data approach

Author

Listed:
  • Juliana Gonçalves Taveira
  • Eduardo Gonçalves
  • Ricardo Da Silva Freguglia

Abstract

This study aims to verify if there is a positive relationship between innovation and productivity and/or profit in Brazil using a recursive model in line with the Crépon, Duguet and Mairesse (CDM) model. Using a rich combination of three databases, this paper considers a sample of more than 10,000 Brazilian industrial firms and the period 2001–2008. Besides using R&D expenditure as a measure of innovation input, this study also tests the technical-scientific personnel stock as a more appropriate measure of innovative effort in emerging countries. This variable considers the tacit knowledge intrinsic to the worker and corrects a possible measurement error bias in the R&D expenditure variable. The empirical strategy uses a reduced form of the CDM model in a panel data structure to provide consistent estimates as it controls for selectivity, simultaneity and endogeneity due to unobserved firm effects. There are still few studies that apply the CDM model for panel data, especially regarding developing countries. The main results suggest that technical-scientific workers positively affect the firms’ probability to innovate while R&D expenditure has no effect. The results also highlight the absence of the effect of innovation on productivity and profit, suggesting a missing link between innovative efforts and Brazilian firms’ performance.

Suggested Citation

  • Juliana Gonçalves Taveira & Eduardo Gonçalves & Ricardo Da Silva Freguglia, 2019. "The missing link between innovation and performance in Brazilian firms: a panel data approach," Applied Economics, Taylor & Francis Journals, vol. 51(33), pages 3632-3649, July.
    • Handle: RePEc:taf:applec:v:51:y:2019:i:33:p:3632-3649
    DOI: 10.1080/00036846.2019.1584374
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2019.1584374
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2019.1584374?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cirera, Xavier & Martins-Neto, Antonio Soares, 2023. "Do innovative firms pay higher wages? Micro-level evidence from Brazil," Research Policy, Elsevier, vol. 52(1).
    2. Betarelli Junior, Admir Antonio & Faria, Weslem Rodrigues & Gonçalves Montenegro, Rosa Livia & Bahia, Domitila Santos & Gonçalves, Eduardo, 2020. "Research and development, productive structure and economic effects: Assessing the role of public financing in Brazil," Economic Modelling, Elsevier, vol. 90(C), pages 235-253.
    3. Marco Túlio Dinali Viglioni & Mozar José Brito & Cristina Lelis Leal Calegario, 2020. "Innovation and R&D in Latin America and the Caribbean countries: a systematic literature review," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2131-2167, December.
    4. Thiago Caliari & Philipe Scherer Mendes & Márcia Rapini & Camila Tolentino, 2021. "Technological Cumulativeness and Innovation in Brazilian Manufacturing Industry: Evidences from Brazilian Innovation Surveys 2008, 2011, and 2014," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 876-898, June.
    5. Tatyana Boychenko, 2021. "Structure of Personnel in Scientific Organisations of the Ministry of Science and Higher Education of the Russian Federation for Individual Regions: Analysis of Primary Statistical Information," Science Governance and Scientometrics Journal, Russian Research Institute of Economics, Politics and Law in Science and Technology (RIEPL), vol. 16(1), pages 79-106, March.

    More about this item

    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:taf:applec:v:51:y:2019:i:33:p:3632-3649. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.