UK trading patterns within and between regions in the automotive sector—A network analysis
Smith, Matthew ORCID: 0000-0002-3430-2176 and Sarabi, Yasaman (2020) UK trading patterns within and between regions in the automotive sector—A network analysis. The World Economy, 44 (2). pp. 510-529. ISSN 0378-5920 (Print), 1467-9701 (Online) (doi:https://doi.org/10.1111/twec.13006)
|
PDF (Author Accepted Manuscript)
29176 SMITH_UK_Trading_Patterns_Within_and_Between_Regions_(AAM)_2020.pdf - Accepted Version Download (1MB) | Preview |
Abstract
This study provides an analysis of the UK's role in the automotive sector, focusing on the trading relationship of the UK within and between regions. It additionally provides an examination of the countries that hold equivalent trading positions to the UK in various segments of the automotive sector. The results indicate a high level of integration with Europe & Central Asia; outside the region, there appears to be a trend towards sourcing inputs from East Asia & Pacific, along with the Middle East & North Africa acting as an export destination. The equivalence analysis results provide a set of nations that could reposition themselves to gain from the UK's departure from the European Union. Amongst them are traditional key European players in the sector, along with Eastern European nations, which have been developing key strengths within the sector in recent years.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | fragmentation of production, network analysis, regionalisation |
Subjects: | H Social Sciences > HB Economic Theory |
Faculty / School / Research Centre / Research Group: | Faculty of Business Faculty of Business > Department of International Business & Economics Faculty of Business > Networks and Urban Systems Centre (NUSC) Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA) |
Last Modified: | 18 Jul 2022 01:38 |
URI: | http://gala.gre.ac.uk/id/eprint/29176 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year