3 resultados para gender wage differentials
em Academic Research Repository at Institute of Developing Economies
Resumo:
This paper examines how the decline of communication costs between management and production facilities within firms and the decrease in trade costs of manufactured goods affect the spatial organization of a two-region economy with multi-unit/multi-plant firms. The development of information technology decreases the costs of communication and trade costs. Thus, the fragmentation of firms is promoted. Our result indicates that, with decreasing communication costs, firms producing low trade-cost products (such as consumer electronics) tend to concentrate their manufacturing plants in low wage countries. In contrast, firms producing high trade-cost products (such as automobiles) tend to have multiple plants serving to segmented markets, even in the absence of wage differentials.
Resumo:
This study proposes a new mechanism that explains skill-sorting patterns and skill wage differentials across industries based on the length of the industry's production chain. A simple simultaneous production model shows that when the quality of intermediate inputs deteriorates rapidly along the production chains, high-skilled individuals choose to work in industries with shorter production chains because of higher returns to skill. I empirically confirm this skill-sorting pattern and these inter-industry skill wage differentials in India, where the quality of intermediate inputs is likely to degrade rapidly because of the high number of unskilled laborers, poor infrastructure, and less-advantaged technology. The results remain robust even when considering selection bias, alternative reasons for inter-industry skill wage differentials, and a different period. The results of this study have important implications when considering countries' industrial development patterns.
Resumo:
Child labour in several low income households is rather pursued for gaining experience and at times for meagre incomes, which are possibly spent on household food expenditure. Though the contribution made by the child labour to the overall wellbeing does not turn out to be substantial, without child labour these households would have been much worse off than the households which can afford not to have child labour. The probability of working is higher for a male child compared to a girl child. This is because the girl children are often engaged in household activities and even when they are engaged in income earning jobs they are shown as helpers. Parents' income as such may not be having a positive impact on child's education rather it is the educational level of the parents which matters in determining whether the child would go to school and continue her/his education. To substantiate the gender bias, the probability of falling ill among the girl children is found to be higher compared to the boys. Parents' educational attainments beyond a certain level again tend to reduce the probability of falling ill.