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Poverty and Child Farm Labor in Africa: Wealth Paradox or bad Orthodoxy

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  • Nkamleu, Guy Blaise

Abstract

The link between poverty and child labor has traditionally been regarded as well established but recent researches have questioned its validity, suggesting that child labor is more important in the richest households (wealth paradox). The present study revisits the link between poverty and farm child labor in Africa and aims at testing the paradoxical wealth effect. Using different modeling techniques, the analysis focuses on family-controlled child labor taking place in the cocoa sector of Côte d’Ivoire. The results reveal that the effect of different commonly used wealth proxies have opposite effects on child labor participation and are sometimes sensitive to the modeling technique. This mixed result is the root of the apparent wealth paradox found in the literature. However, relevant and robust wealth proxies clearly indicate a positive relationship between poverty and child labor. The study therefore sustains that the apparent wealth paradox found in the literature is the end result of a bad orthodoxy.

Suggested Citation

  • Nkamleu, Guy Blaise, 2006. "Poverty and Child Farm Labor in Africa: Wealth Paradox or bad Orthodoxy," MPRA Paper 15105, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:15105
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    References listed on IDEAS

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    1. Heady, Christopher, 2003. "The Effect of Child Labor on Learning Achievement," World Development, Elsevier, vol. 31(2), pages 385-398, February.
    2. Guy B. Nkamleu & Anne Kielland, 2006. "Modeling farmers' decisions on child labor and schooling in the cocoa sector: a multinomial logit analysis in Côte d'Ivoire," Agricultural Economics, International Association of Agricultural Economists, vol. 35(3), pages 319-333, November.
    3. Sonia Bhalotra & Christopher Heady, 2003. "Child Farm Labor: The Wealth Paradox," The World Bank Economic Review, World Bank, vol. 17(2), pages 197-227, December.
    4. Kebede, Yohannes & Gunjal, Kisan & Coffin, Garth, 1990. "Adoption of new technologies in Ethiopian agriculture: The case of Tegulet-Bulga district Shoa province," Agricultural Economics, Blackwell, vol. 4(1), pages 27-43, April.
    5. Andvig, Jen Christopher, 2001. "Family - controlled child labor in Sub-Saharan Africa - a survey of research," Social Protection Discussion Papers and Notes 24086, The World Bank.
    6. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
    7. Anne Case & Christina Paxson & Joseph Ableidinger, 2002. "Orphans in Africa," NBER Working Papers 9213, National Bureau of Economic Research, Inc.
    8. Blunch,Niels-Hugo & Verner,Dorte, 2000. "Revisiting the link between poverty and child labor - the Ghanaian experience," Policy Research Working Paper Series 2488, The World Bank.
    9. Yohannes Kebede & Kisan Gunjal & Garth Coffin, 1990. "Adoption of New Technologies in Ethiopian Agriculture: The Case of Tegulet‐Bulga District, Shoa Province," Agricultural Economics, International Association of Agricultural Economists, vol. 4(1), pages 27-43, April.
    10. Nkamleu, G. B. & Adesina, A. A., 2000. "Determinants of chemical input use in peri-urban lowland systems: bivariate probit analysis in Cameroon," Agricultural Systems, Elsevier, vol. 63(2), pages 111-121, February.
    11. Canagarajah, Sudharshan & Coulombe, Harold, 1997. "Child labor and schooling in Ghana," Policy Research Working Paper Series 1844, The World Bank.
    12. Grootaert, Christiaan & Kanbur, Ravi, 1995. "Child labor : a review," Policy Research Working Paper Series 1454, The World Bank.
    13. B. Wade Brorsen & Michael R. Dicks & W. Bryan Just, 1996. "Regional and Farm Structure Effects of Planting Flexibility," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 18(3), pages 341-351.
    14. Kaushik Basu, 2003. "Analytical Development Economics: The Less Developed Economy Revisited," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262523442, April.
    15. Polson, Rudulph A. & Spencer, Dunstan S. C., 1991. "The technology adoption process in subsistence agriculture: The case of cassava in Southwestern Nigeria," Agricultural Systems, Elsevier, vol. 36(1), pages 65-78.
    16. Guy BlaiseNkamleu & Ousmane Coulibaly, 2000. "Le choix des méthodes de lutte contre les pestes dans les plantations de cacao et de café au Cameroun," Économie rurale, Programme National Persée, vol. 259(1), pages 75-85.
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    Cited by:

    1. Sandrine A. Koissy-Kpein, 2015. "Gender-based violence and gender bias in schooling decision: Evidence from sub-Saharan Africa," WIDER Working Paper Series 107, World Institute for Development Economic Research (UNU-WIDER).
    2. Abou, Pokou Edouard, 2015. "Incidence du travail domestique, des caractéristiques de l’école et du ménage sur les résultats scolaires des filles en Côte d’Ivoire [Incidence of domestic work, school and household characteristi," MPRA Paper 43976, University Library of Munich, Germany.
    3. Abou Pokou Edouard, 2019. "A Re-Examination of the Determinants of Child Labour in Côte d’Ivoire," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 5(2), pages 26-35, 02-2019.
    4. Abou, Pokou Edouard, 2016. "Does Domestic Work Affect the Academic Performance of Girls in Primary School in Côte d’Ivoire? Empirical Evidence from Probit Model," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 12(35), pages 368-381.
    5. Beyene, Abebe D. & Mekonnen, Alemu & Gebreegziabher, Zenebe, 2014. "Natural Resource Collection and Children’s Literacy: Empirical Evidence from Panel Data in Rural Ethiopia," RFF Working Paper Series dp-14-18-efd, Resources for the Future.
    6. Nkamleu, Guy Blaise & Keho, Yaya & Gockowski, James & David, Soniia, 2007. "Investing in agrochemicals in the cocoa sector of Côte d’Ivoire: Hypotheses, evidence and policy implications," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 1(2), pages 1-22, September.
    7. Idris Isyaku Abdullahi & Zaleha Mohd Noor & Rusmawati Said & Ahmad Zubaidi Baharumshah, 2016. "Does Poverty Influence Prevalence of Child Labor in Developing Countries?," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 7-12.
    8. Sandrine A. Koissy-Kpein, 2015. "Gender-based violence and gender bias in schooling decision: Evidence from sub-Saharan Africa," WIDER Working Paper Series wp-2015-107, World Institute for Development Economic Research (UNU-WIDER).

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    More about this item

    Keywords

    Child labor; Poverty; Cocoa sector; Econometric modeling; Côte d’Ivoire;
    All these keywords.

    JEL classification:

    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • D10 - Microeconomics - - Household Behavior - - - General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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