通过间接诱导方法估计可可产业中童工现象的普遍性:一项混合方法研究

Estimating the prevalence of child labour in the cocoa industry via indirect elicitation methods: a mixed-methods study

Journal of Population Economics · 2024
被引 5
人大 A-ABS 3

中文导读

研究通过间接调查方法(列表实验和彩色盒法)从1741名可可生产者收集数据,发现童工报告率高于直接询问但低于儿童自报,揭示父母少报的动机,指出间接方法不足以纠正少报,未来应优先直接收集儿童数据。

Abstract

Abstract Data from children suggest that the prevalence of child labour in the cocoa industry in Côte d’Ivoire is a worrying 38%. However, while surveying children has the potential to reduce sensitivity biases such as social desirability bias, it presents significant ethical dilemmas and may also be associated with other reporting biases, making accurate estimates of child labour difficult. To address this, we collected data from 1741 cocoa producers to assess whether parents could provide more accurate estimates using indirect survey methods. We compared direct questioning with a list experiment and a novel non-verbal method (‘colorbox’). We found higher prevalence rates of child labour using indirect elicitation methods, but lower than those obtained from children’s surveys. Qualitative in-depth interviews revealed motivations for underreporting, including fear of legal consequences and mistrust of stakeholders. Indirect methods alone are not sufficient to correct for underreporting when child labour is collected from parents. Future research should prioritise direct data collection from children and address ethical concerns to obtain more accurate estimates of child labour.

儿童劳动可可产业间接诱导法科特迪瓦