Global Value Chains and Technological Capabilities: A Framework to Study Learning and Innovation in Developing Countries

Andrea Morrison, Carlo Pietrobelli and Roberta Rabellotti

Oxford Development Studies, 2008, vol. 36, issue 1, 39-58

Abstract: This paper presents a critical review of the global value chain (GVC) literature in light of the “technological capabilities” approach to innovation in less-developed countries (LDCs). Participation in GVC is beneficial for firms in LDCs, which are bound to source technology internationally. However, the issues of learning and technological efforts at the firm level remain largely hidden in the GVC literature. We propose a shift in the empirical and theoretical agenda, arguing that research should integrate the analysis of the endogenous process of technological capability development, including specific firm-level efforts, and of the mechanisms allowing knowledge to flow within and between different global value chains into the GVC literature.

Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (155)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/13600810701848144 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Global Value Chains and Technological Capabilities: A Framework to Study Learning and Innovation in Developing Countries (2007)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:oxdevs:v:36:y:2008:i:1:p:39-58

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CODS20

DOI: 10.1080/13600810701848144

Access Statistics for this article

Oxford Development Studies is currently edited by Jo Boyce and Frances Stewart

More articles in Oxford Development Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().