2 resultados para intellectual capital measurement benchmark IT IC indicator
em Academic Research Repository at Institute of Developing Economies
Poverty Analysis of Ethiopian Females in the Amhara Region: Utilizing BMI as an Indicator of Poverty
Resumo:
This paper analyzes poverty-affected females in the Amhara region of Ethiopia. As the measurement of poverty, the paper uses body mass index (BMI) because it is one of the effective tools for measuring individual poverty level. The results of the BMI analysis show that the most poverty-affected female group is the female household heads in urban areas. The results, however, should be treated carefully considering the different social and economic structure of urban and rural areas, and the interdependent relationship between these two areas. In rural areas, access to land is the biggest issue affecting the BMI, while in urban areas, the occupation of husbands or partners is more important. These differences by area do not mean that there is no intersection between the urban and rural female groups because the majority of females in urban areas migrated from rural areas to urban areas due to various reasons such as divorce, marriage, and job opportunities.
Resumo:
This paper attempts to identify a pathway out of poverty over generations in the rural Philippines, based on long-term panel data spanning for nearly a quarter of a century. Specifically, it sequentially examines the determinants of schooling, subsequent occupational choices, and current non-farm earnings for the same individuals. We found that an initial rise in parental income, brought about by the land reform and the Green Revolution, among other things, improves the schooling of children, which later allows them to obtain remunerative non-farm jobs. These results suggest that the increased agricultural income, improved human capital through schooling and the development of non-farm sectors are the keys to reducing poverty in the long run. It must be also pointed out that the recent development of the rural non-farm sector offers ample employment opportunities for the less educated, which also significantly contributed to the poverty reduction.