Peer-reviewed article
AN EMPIRICAL STUDY OF DETERMINANTS OF CHILD LABOUR IN ODISHA
Ipsita Priyadarsini Pattanaik ·
Summary
Written by AI, not yet AICS's view · claude-haiku-4-5-20251001This study examines the factors that drive child labour in Odisha, India, focusing on Khurdha district. Using regression analysis of primary data, the researchers found that family income, family size, children's desire to work, and age all significantly influence whether children work and how many hours they work. Children from poor, larger families are most likely to enter the workforce early to help support their families.
Key points
- Family income has a significant negative impact on working hours—higher family income correlates with fewer hours worked by children
- Family size is a significant non-economic factor affecting child labour
- Children's own desire to work has a positive and significant influence on employment
- Children from poor and larger families are forced to join the labour force to supplement family income
- Higher age at entry into child labour correlates with higher income earned
Limitations
The study is descriptive and focuses only on Khurdha district in Odisha, so findings may not generalise to other regions of India or globally. The document does not specify the sample size, data collection methods, or year of data collection, limiting assessment of study quality.
Abstract
The objective of the study is to analyse the child labour in Odisha-A conceptual and descriptive, income determinants of child labour and their participation in the workforce at an early age in Khurdha district of Odisha on the basis of primary data. The regression results reveal that family income has significant negative impact on the working hour of the child labour. Family size is a non-economic factor which affect the working hour of child labour significantly. Children’s desire to work has a positive and significant influence on employment of working Children. Child labours are from poor and larger families who are forced to join labour force to supplement the family income. The regression coefficients of physical condition are negative and coefficient of all other variables is positive. Age of becoming child labour is a significant variable. Higher the age of child labour, higher is the income of child labour. KEYWORDS: Age, Child Labour, Family Size, Income, Poverty, Work, Wage.