EconPapers    
Economics at your fingertips  
 

What is driving robotisation in the automotive value chain? Empirical evidence on the role of FDIs and domestic capabilities in technology adoption

Guendalina Anzolin, Antonio Andreoni and Antonello Zanfei

Technovation, 2022, vol. 115, issue C

Abstract: With a focus on a key production technology of the fourth industrial revolution, we look at the measurable impact of inward foreign direct investments (FDIs) and other host-country-specific factors on the adoption of industrial robots along two main segments of the automotive value chain. We find that FDIs per se do not have a significant effect on the adoption of industrial robots in the host country, but they become significant when interacted with proxies of host countries’ innovation capabilities. Using disaggregated data on robotisation and controlling for endogeneity, we also find that the combination of FDIs and local innovation capacity only impact on robot adoption in the case of the automotive assembly segment. Instead, host-country-specific factors characterising the local industrial eco-system drive robotisation in the components supply segment of the automotive value chain more than in its assembly segment. This confirms the importance of domestic productive capabilities development in the process of manufacturing automation, but also reveals that remarkable heterogeneity exists within the automotive sectoral value chain in terms of drivers of technology adoption.

Keywords: Technology adoption; Automotive; Fourth industrial revolution; FDI and GVCs; Local ecosystems (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0166497222000232
Full text for ScienceDirect subscribers only

Related works:
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:eee:techno:v:115:y:2022:i:c:s0166497222000232

DOI: 10.1016/j.technovation.2022.102476

Access Statistics for this article

Technovation is currently edited by Jonathan Linton

More articles in Technovation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2024-02-12
Handle: RePEc:eee:techno:v:115:y:2022:i:c:s0166497222000232