Poverty Analysis of Ethiopian Females in the Amhara Region: Utilizing BMI as an Indicator of Poverty

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.

Vertical specialisation indicator based on supply-driven input-output model

“Import content of exports”, based on Leontief’s demand-driven input-output model, has been widely used as an indicator to measure a country’s degree of participation in vertical specialisation trade. At a sectoral level, this indicator represents the share of inter-mediates imported by all sectors embodied in a given sector’s exported output. However, this indicator only reflects one aspect of vertical specialisation – the demand side. This paper discusses the possibility of using the input-output model developed by Ghosh to measure the vertical specialisation from the perspective of the supply side. At a sector level, the Ghosh type indicator measures the share of imported intermediates used in a sector’s production that are subsequently embodied in exports by all sectors. We estimate these two indicators of vertical specialisation for 47 selected economies for 1995, 2000, 2005 using the OECD’s harmonized input-output database. In addition, the potential biases of both indicators due to the treatment of net withdrawals in inventories, are also discussed.