IDEAS home Printed from https://ideas.repec.org/p/erg/wpaper/1672.html

GVC and Innovation: Evidence from MENA Firm-Level Data

Author

Listed:
  • Yasmine Eissa

    (Faculty of Economics and Political Science)

  • Chahir Zaki

    (University of Orleans)

Abstract

Despite the broad theoretical and empirical studies diagnosing reasons behind the upscaling global value chains (GVC) participation in recent decades, the latter’s learning effect is still not amply studied, especially for the Middle East and North Africa (MENA) region that is disadvantaged in technology production. Relying on the recent World Bank Enterprise Surveys comprehensive dataset, we conceptualize the learning effect of GVC participation in terms of firms’ innovation performance in developing countries. We contribute to the existing literature in two ways. First, we examine the effect of GVC participation on different types of innovation, namely technological vs. auxiliary services/online communication. Second, we take into consideration the sectoral heterogeneity at three levels: factor (labor vs. capital intensive sectors), skill level (sectors intensive in skilled vs. unskilled labor), and technology intensity (high vs. low technology). We find that the positive effect of GVC participation on technological innovation is not moderated with sectoral heterogeneity. Yet, the GVC positive effect on auxiliary services innovation is positively moderated with medium-low technology intensive activities. Our results are robust when employing propensity score matching and instrumental variables methods in addressing the reverse causality as well as when using alternative GVC measures.

Suggested Citation

  • Yasmine Eissa & Chahir Zaki, 2023. "GVC and Innovation: Evidence from MENA Firm-Level Data," Working Papers 1672, Economic Research Forum, revised 20 Nov 2023.
  • Handle: RePEc:erg:wpaper:1672
    as

    Download full text from publisher

    File URL: https://erf.org.eg/publications/gvc-and-innovation-evidence-from-mena-firm-level-data-2/
    Download Restriction: no

    File URL: https://erf.org.eg/app/uploads/2023/11/1701251465_370_1177441_1672.pdf
    Download Restriction: no
    ---><---

    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:erg:wpaper:1672. 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: Namees Nabeel (email available below). General contact details of provider: https://edirc.repec.org/data/erfaceg.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.