Determinants of labour exploitation: examples from Myanmar's migrant workers in Thailand

劳动力剥削的决定因素：泰国缅甸移民工人的例子

• 批准号: 2587758
• 金额: --
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2587758
• 关键词: Determinants; labour; exploitation; examples; Myanmar

Despite their key role within Thailand's economy, migrant workers from Myanmar often work in vulnerable conditions where they are exposed to varying degrees of problems and exploitation, which range from being paid below the minimum wage, illegal wage deductions, inadequate housing and living conditions, long-working hours, workplace injuries and other ill treatments (Bruni, 2020; Harkins, 2019). While it is acknowledged that in Thailand some sectors of employment, such as agriculture, fisheries or the sex industry, tend to be more exploitative than others, there is no common understanding of which conditions influence the migrant's vulnerability to exploitation in the workplace (Harkins, 2019). Since 2018, various primary data collection activities carried out by the International Organization for Migration (IOM) took an initial step in exploring such determinants (Bruni, 2020; Munstermann 2019, 2018a, 2018b). However, the research outputs of these exercises only provided summary statistics without displaying any regression analysis or exploring possible causal links. Hence, the aim of this DPhil study is to fill this gap and understand the degree to which different factors impact the migrant's (migrant workers in Thailand) vulnerability to exploitation in the workplace by answering the following research question and sub-questions:Research question: To what extent different factors impact migrant vulnerability to exploitation in the workplace in Thailand?Sub-question 1: What can be done and who should be targeted to reduce instances of exploitation in the workplace in Thailand?Sub-question 2: Which factors impact migrant vulnerability to exploitation in the workplace in Thailand?This DPhil study will follow a quantitative approach and will be based upon IOM Flow Monitoring survey data collected by the IOM Displacement Tracking Matrix (DTM) team under my supervision between January and March 2020 at selected border-crossing points at the Thai-Myanmar border. While this research has a limited geographical scope and external validity, the output of this study will still provide a unique evidence base for the Thai-Myanmar context and will add precious insights to the existing body of literature on migrant vulnerability on the workplace. In addition, it will be used to inform the policy response of IOM and its partners, both in Myanmar and Thailand. Ultimately, learning about the determinants of migrant's vulnerability on the workplace, especially when directly translated in operational actions, can help benefitting migrant workers and society as a whole.

尽管他们在泰国经济中发挥着关键作用，但来自缅甸的移民工人往往在脆弱的条件下工作，他们面临不同程度的问题和剥削，包括低于最低工资的工资，非法工资扣除，住房和生活条件不足，工作时间长，工伤和其他虐待（Bruni，2020; Harkins，2019）。虽然人们承认，在泰国，农业、渔业或性产业等某些就业部门往往比其他部门更具剥削性，但对于哪些条件会影响移民在工作场所易受剥削的程度，人们没有共识（Harkins，2019年）。自2018年以来，国际移民组织（IOM）开展的各种原始数据收集活动迈出了探索这些决定因素的第一步（Bruni，2020; Munstermann 2019，2018 a，2018 b）。然而，这些工作的研究成果只提供了汇总统计数据，没有显示任何回归分析或探讨可能的因果联系。因此，本博士研究的目的是填补这一空白，并了解不同因素影响移民（泰国移民工人）在工作场所易受剥削的程度，回答以下研究问题和子问题：研究问题：在何种程度上不同因素影响移民在泰国工作场所易受剥削？分问题1：为减少泰国工作场所的剥削事件，可以做些什么以及应该针对谁？分问题2：哪些因素影响移民在泰国工作场所易受剥削？这项研究将采用定量方法，并将基于IOM位移跟踪矩阵（DTM）团队在我的监督下于2020年1月至3月在泰缅边境选定的过境点收集的IOM流量监测调查数据。虽然这项研究的地理范围和外部有效性有限，但这项研究的结果仍将为泰缅背景提供独特的证据基础，并将为现有的有关工作场所移民脆弱性的文献增添宝贵的见解。此外，它还将用于为移徙组织及其在缅甸和泰国的合作伙伴的政策反应提供信息。最后，了解移徙者在工作场所易受伤害的决定因素，特别是在直接转化为业务行动时，有助于使移徙工人和整个社会受益。