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

Author

Listed:
  • Aurelia Lepine

    (University College London)

  • Ariane Ndiore

    (Université Félix Houphouët-Boigny)

  • Carole Treibich

    (Univ. Grenoble Alpes, CNRS, INRAE, Grenoble INP, GAEL)

  • Henry Cust

    (University College London)

  • Laurent Foubert

    (International Cocoa Initiative)

  • Megan Passey

    (International Cocoa Initiative)

  • Selina Binder

    (Barry Callebaut)

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.

Suggested Citation

  • Aurelia Lepine & Ariane Ndiore & Carole Treibich & Henry Cust & Laurent Foubert & Megan Passey & Selina Binder, 2024. "Estimating the prevalence of child labour in the cocoa industry via indirect elicitation methods: a mixed-methods study," Journal of Population Economics, Springer;European Society for Population Economics, vol. 37(4), pages 1-29, December.
  • Handle: RePEc:spr:jopoec:v:37:y:2024:i:4:d:10.1007_s00148-024-01054-3
    DOI: 10.1007/s00148-024-01054-3
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    More about this item

    Keywords

    Child labour; Sensitive bias; Measurement error; Cocoa; Sustainable development goals;
    All these keywords.

    JEL classification:

    • J80 - Labor and Demographic Economics - - Labor Standards - - - General
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development

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