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




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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.



Item Type: MPRA Paper -

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

Language: English-

Keywords: Child labor; Poverty; Cocoa sector; Econometric modeling; Côte d’Ivoire-

Subjects: O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O15 - Human Resources ; Human Development ; Income Distribution ; MigrationI - Health, Education, and Welfare > I2 - Education and Research Institutions > I21 - Analysis of EducationJ - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J24 - Human Capital ; Skills ; Occupational Choice ; Labor ProductivityD - Microeconomics > D1 - Household Behavior and Family Economics > D10 - GeneralC - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C25 - Discrete Regression and Qualitative Choice Models ; Discrete Regressors ; Proportions ; Probabilities-





Author: Nkamleu, Guy Blaise

Source: https://mpra.ub.uni-muenchen.de/15105/







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