ABSTRACT
This study analyzed poverty and living conditions in Nigeria
using the fuzzy set, a multidimensional analytical approach. The essence is to
fill the gap in knowledge that was created by the traditional uni-diinensional
measures of deprivation which is based on poverty lines, estimated exclusively
on the basis of monetary variables such as income/consumption. The study
combines monetary and non-monetary, qualitative and quantitative
variables/indicators including housing condition, possession of durable goods,
equivalent disposable income and expenditure, together with a number of welfare
measures in its' deprivation estimates The objectives of the study examined
household and living conditions with respect to quality of housing, sources of
energy for cooking, lighting, sanitation and water supply. Others were to
analyse multidimensional deprivation and construct a composite index for the
country as well as compare poverty distribution across the geopolitical zones,
and between rural and urban dwellers using fuzzy set. The study used micro data
obtained from the Nigerian living standard survey of 2004/05 which was
published in 2007 with technical assistance of the DFID and World Bank. The
results of the estimates of the membership functions (MFs) depicting the levels
of deprivation for the various categories of deprivation indicators show a
composite deprivation degree of 0.2028 for the whole country and thus, the
poverty level for the country could be said to be 20.28 percent. This value is
considerably lower than that of the head count index of 0.547 or 54.7 percent
which is purely monetary and unidimensional. This trend of results is
consistent with the fuzzy set results showing deprivation indices for all the
geopolitical zones/regions as being smaller than the indices from the result of
the head count index which was based only on income. This goes to say that; in
view of the attributes so considered, Nigerians are less deprived than was
shown by the head count index. Considering the various deprivation characteristics,
the results show high deprivation degrees in seemingly
"non-essential" items such as TV, Refrigerator, Video, Sewing
Machine, etc and other household durables compared with other essential
household items such as shelter, education, health, food, etc. Along
urban-rural divide, the rural dwellers were more deprived, for all the
attributes considered, to the tune of 23.97°/h as against the urban with a
deprivation level of 19.47%, and the difference in their poverty levels was
significant when tested at 5% probability level using Z-statistic. This implies
that for any antipoverty intervention programme or policy, greater emphasis
should be placed on the rural than the urban areas. The geopolitical zones of
Nigeria/regions show different deprivation levels for the varying attributes so
considered. The South East zone was the least with an index of 0.1619, followed
by the South-West zone (0.1789), South —South zone (0.1877), NorthCentral zone
(0.2447), North-west zone (0.2765) and North-East zone (0.2609) respectively.
In order to strengthen this result of varying deprivation indices across the
zones, we went further to test the existence of significant differences between
the geopolitical zones' poverty level. This we did after double decomposition of
the subattributes of poverty. The essence of double decomposition is to make
for more specific and effective antipoverty policies. These results call for
specific policies that are peculiar to the respective regions given their
varying degrees of poverty. Furthermore, the results showed that the South East
zone, though least deprived for the all the attributes taken together, is not
the least deprived when the attributes are examined individually, this was
exemplified when health and education are considered separately as attributes.
Here the South-Wes zone was the least deprived. Results of this nature portray
the beauty of fuzzy set analytical approach. This is derivable from the fact
that Nigerians (people) may not only be relatively income poor, but also more
relatively deprived in other indices of social welfare as the study has shown.
This evidence negates the one-size fits-all income based poverty reduction
programme that is often applied because of the use of a single indicator
(income),but emphasises on-target, arid specific poverty reduction programmes
given the deprivation level and indicators.
EMENYONU, A (2021). Multi Dimensional Poverty Analysis In Nigeria: A Fuzzy Set Approach. Mouau.afribary.org: Retrieved Nov 24, 2024, from https://repository.mouau.edu.ng/work/view/multi-dimensional-poverty-analysis-in-nigeria-a-fuzzy-set-approach-7-2
AKUJUOBI, EMENYONU. "Multi Dimensional Poverty Analysis In Nigeria: A Fuzzy Set Approach" Mouau.afribary.org. Mouau.afribary.org, 08 Nov. 2021, https://repository.mouau.edu.ng/work/view/multi-dimensional-poverty-analysis-in-nigeria-a-fuzzy-set-approach-7-2. Accessed 24 Nov. 2024.
AKUJUOBI, EMENYONU. "Multi Dimensional Poverty Analysis In Nigeria: A Fuzzy Set Approach". Mouau.afribary.org, Mouau.afribary.org, 08 Nov. 2021. Web. 24 Nov. 2024. < https://repository.mouau.edu.ng/work/view/multi-dimensional-poverty-analysis-in-nigeria-a-fuzzy-set-approach-7-2 >.
AKUJUOBI, EMENYONU. "Multi Dimensional Poverty Analysis In Nigeria: A Fuzzy Set Approach" Mouau.afribary.org (2021). Accessed 24 Nov. 2024. https://repository.mouau.edu.ng/work/view/multi-dimensional-poverty-analysis-in-nigeria-a-fuzzy-set-approach-7-2