Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

The global assemblage of multi-centred stowaway governance

Senu, Amaha 2018. The global assemblage of multi-centred stowaway governance. PhD Thesis, Cardiff University.
Item availability restricted.

[img]
Preview
PDF - Accepted Post-Print Version
Download (2MB) | Preview
[img] PDF - Supplemental Material
Restricted to Repository staff only

Download (111kB)

Abstract

This thesis explores the global governance of stowaways in the shipping industry involving multiple actors, and the implications for the dynamics between seafarers and stowaways on board ships. The governance of stowaways has only been marginally explored in studies of migration governance with much of the limited empirical focus confined to analyses of the policies and practices of states and institutions. An empirical investigation into the maltreatment of stowaways has also been lacking. For the purpose of exploring the global governance of stowaways more holistically and explaining why some seafarers maltreat stowaways, including casting them off on makeshift rafts or throwing them into the sea, a multi-method qualitative research design was used underpinned by an adaptive approach to data collection and analysis. The findings offer insights into how governing efforts by a range of actors impinge upon seafarers and stowaways. The global governance of stowaways is conceptualised in this study as an assemblage involving multiple actors whose asymmetric interrelationships lead to the emergence of the causes for the maltreatment of stowaways.

Item Type: Thesis (PhD)
Status: Unpublished
Schools: Social Sciences (Includes Criminology and Education)
Subjects: H Social Sciences > H Social Sciences (General)
Funders: NIPPON
Date of First Compliant Deposit: 15 February 2018
Last Modified: 15 Feb 2018 15:09
URI: http://orca.cf.ac.uk/id/eprint/109156

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics