Households Multidimensional Poverty Analysis in Case of Urban Productive Safetynet Program Beneficeries in Addis Ababa City
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Date
2021-12
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Addis Ababa University
Abstract
Poverty alleviation is a priority area of intervention for government and non-government
organizations including Sustainable development goal agenda. Although there is a difference
in the characteristics and dimension of the problem, it can be found in both urban and rural
areas. Establishing effective tools for indicators and poverty measurements are also
important for a decision making. In addition to the traditional income poverty indicator,
multidimensional poverty measurement became the new way of measuring poverty. This study
covered the multidimensional poverty status of urban productive safety net beneficiaries in
Addis Ketema and Kolfe Keraniyo subcities. The study employed cross-sectional method of
research design and Mixed research method of data gathering and analysis methods.
Explanatory sequential design method was utilised to collect & analysed the data. Household
Survey, Key informant interview and observation were conducted to collect the relevant
primary data and secondary data from the relevant organizations & respondents. A total of
270 respondents were randomly selected from the six woredas in the study area. Descriptive
methods and binary logistic regression method was conducted to analyse the data. Alkire and
foster method of Multidimensional poverty measurement method were deployed to assess the
severity and deprivation status of the respondents. Hence, the severity level of poverty is
around 25% and observed that the existence of high number of vulnerable households. And it
also confirmed the result of OPHI on the existence of high number of vulnerabilities
compared with other regions of the country. The MPI of the addis ketema and kolfe keraniyo
found 14% and 12.7% respectively. On the other hand, although the program contributed on
the improvement of income poverty status households, its impact on education, health and
living standard of the beneficiaries were insignificant. On the deprivation status of the
households education (36.4%) and Health (25.3%) were major contributors for
multidimensional poverty of households. Economic factors such as unemployment and income
variability including inflation were major determinant factors besides to multidimensional
indicators. Therefore, from regression result it was noted that, household size, unemployed
size, health status, housing ownership status, and person per room of the households were
significant positive determinant and contributor while educational status is negative
determinant for poverty status of the households respectively. The study recommends revising
scale of program support of households which considers the economic context of the country
and promoting similar poverty alleviation programs which works on human capital, health,
improvement of living standard of household’s & job creation activities.
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Keywords
urban poverty, Multidimensional poverty, urban safety net program