Abstract:
Poverty is one of the core issues and the most widespread social problems in the world. It has
no geographical boundary. It is found in all direction and corners. Despite world exceptional
advance in science, technology and wealth creation, poverty in all its manifestations remain
deep and persistent. Rural households’ multidimensional poverty is still widespread and severe
everywhere. For instance, worldwide a total of 1.3 billion people 23.1% are multidimensional
poor from 101 countries and from the above figure two-thirds of multidimensional poor people
live-in middle-income countries. In East Africa, 559 million (42%) people are multidimensional
poor. In Ethiopia, the new global 2018 multidimensional poverty index revealed that 49% of the
Ethiopian population is multidimensional poor. So that analysis of the nature and determinants
of multidimensional poverty is a key input for interventions to reduce this enemy of mankind.
Thus, the general objective of this study is an analysis of the status and the main determinants of
rural households’ multidimensional poverty in wogera woreda (Ethiopia). Primary data are
collected from 196 household heads by using multi stage sampling technique from rural
households using survey questionnaires. In the analysis of the data, both descriptive and
econometrics methods of analysis are used. Binary logistic regression model is used to
investigate the determinants of multidimensional poverty. Result of the descriptive analysis that
is AF methods counting approach show that the incidence (H) of the household 80 %, the
intensity of poverty (A) 50 % and multidimensional poverty index (MPI) 40.1%. Dimensionally
the living standard is the highest contributor to the overall multidimensional poor of the
households (52.6%) following by the education dimension (33.1%) and health dimension
(14.3%). Among eleven multidimensional poverty indicators, improved sanitation (9.3%) and
cooking fuel indicator (9.2%) have the highest relative contribution to the overall
multidimensional poverty index of the study woreda. Furthermore, the result of the regression
analysis indicated that, family size, educational level of the household, health problem and room
density are significant determinants of multidimensional poverty of the household of the study
area. Policy recommendation that give top priority to living standard, education and health
dimension respectively that give due consideration to significant variables in poverty reduction
efforts required.
