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Citation Information

Type Thesis or Dissertation - Master of Arts in Economics
Title Fertility as a Determinant of Household Poverty in Kenya: a Comparative Analysis of Central, Nyanza, Western, and Eastern Regions
Author(s)
Publication (Day/Month/Year) 2016
URL http://erepository.uonbi.ac.ke/bitstream/handle/11295/99931/Onyango_Fertility as a Determinant of​Household Poverty in Kenya a Comparative Analysis of Central, Nyanza, Western, and Eastern​Regions.pdf?sequence=1&isAllowed=y
Abstract
The study used 2014 Kenya Demographic and Health Survey data to provide a detailed analysis
of fertility and poverty rates in Kenya. Poverty rates were calculated using Multidimensional
Poverty Index in order to compute groups of population who are poor and non poor as measured
by deprivation rates. The overall objective of the study was to investigate the relationship
between fertility and household poverty while the specific objectives of the study are; to
investigate the effect of fertility on household poverty and probability of households with high
fertility entering into poverty. These objectives were achieved through critical analysis of various
indicators at the household level.
Some parts of the country have recorded increase or stalled rates of poverty and it is important to
understand regional poverty dynamics and its determinants. In regional comparison,
multidimesional calculations of poverty showed that many households were still deprived of
education, health and standards of living at different degree. In health deprivation, Central
region was least deprived at 17%, followed by Western region at 20% and Nyanza region at
30%. Eastern region was mostly deprived at 33%. In education deprivation, Central region was
least deprived at 4% while Eastern region was mostly deprived at 11%. Nyanza and Western
regions had deprivations of 10% and 8% respectively. In standards of living deprivation, Central
was least deprived while Eastern region had the highest deprivation levels. The result also
showed that fertility is positively related with household deprivations whereby giving birth to
one more child will increase the household deprivations in the three components. Households
with high fertility are more likely to enter into poverty at 1.024%.
From the analysis, the positive relationship of fertility and household poverty shows that many
households still live in poverty; hence fertility is still a challenge to the country‟s economic
development. Therefore argent intervention policies should be enhanced to reduce fertility. The
study shows that majority of deprived households were in Nyanza, Eastern and Western regions,
therefore intervention measures are required in these regions. The government should improve
education system so that households can acquire quality education for economic development.
The government should also enhance health provisions and strongly advocate for modern
contraceptive use to reduce fertility.

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