A Spatial Analysis Approach to Estimate Child Labour Prevalence and Determinants

估算童工现象及其决定因素的空间分析方法

• 批准号: 2750788
• 金额: --
• 依托单位: University of Manchester
• 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-2750788
• 关键词: Spatial; Analysis; Approach; Estimate; Child

The main overall objective of this PhD is to develop a framework for utilising methods of spatial analysis to estimate child labour prevalence and better understand its drivers. In order to test and demonstrate the suitability of such methods, they will be applied to specific case studies. These case studies will usually focuson locales where the child labour rate is higher, due to better access to data, but the generalisability of these methods will also be considered. The PhD seeks to address the following research questions:To what extent can methods of spatial analysis be used as tools to estimate child labour prevalence?What are the drivers of child labour and how does their impact vary across geographical space?

该博士学位的主要总体目标是开发一个框架，利用空间分析方法来估计童工的普遍性并更好地了解其驱动因素。为了测试和证明这些方法的适用性，将把它们应用于具体的案例研究。这些案例研究通常侧重于童工率较高的地区，因为更容易获得数据，但也将考虑这些方法的普遍性。博士旨在解决以下研究问题：在多大程度上可以使用空间分析的方法作为工具来估计童工的流行？童工的驱动因素是什么，其影响在不同地理空间有何不同？