Prioritization of Policies: A Prototype Model of a Flowchart Method

This paper builds a prototype model of how to prioritize policies by using a flowchart. We presented the following six steps to decide priorities of policies: Step 1 is to attain the social subsistence level (primary education, health care, and food sufficiency); Step 2 is to attain macroeconomic stability; Step 3 is to liberalize the economy by structural adjustment programs; Step 4 is capacity building specific to a growth strategy by facilitating sufficient infrastructure (physical infrastructure and institutions); Step 5 is to initiate a growth strategy; and Step 6 is to narrow income inequalities. We illustrated the effectiveness of our "flowchart method" in case studies of Morocco, Laos, Vietnam, and China. The first priority of reforms in Morocco was given to social sectors of primary education and health care, particularly in the rural areas at Step 1. Laos should not put much emphasis on growth strategy before educational reform, attainment of macroeconomic stability, and institutional capacity building at Steps 1, 2, and 3. Vietnam can focus on reforming the state-run enterprises and developing the stock markets at Step 5 of growth strategies. We found that we should apply our flowchart method to China not nation-wide but province-wide.

Toiling children in India : the gender dimension

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.