Proximate Determinants of Fertility in Ethiopia: Comparative Analysis of the 2005 and 2011 DHS

Author:

Lailulo Yishak Abraham1,Sathiya Susuman A.1

Affiliation:

1. Department of Statistics and Population Studies, Faculty of Natural Sciences, University of the Western Cape, South Africa

Abstract

Fertility is one of the elements in population dynamics that makes a significant contribution towards changing population size and structure over time. In Ethiopia, for the last 10 years the total fertility rate (TFR) has declined slightly from 5.5 to 4.8 children in 2011. But, the TFR in urban areas has increased from 2.4 to 2.6 per 1000 live births. The Bongaarts model was applied to estimate the indices of the four main proximate determinants of fertility. Bongaarts defines the TFR of a population as a function of the total fecundity rate (TF), index of marriage (Cm), index of contraception (Cc), index of postpartum infecundability (Ci), and index of abortion (Ca); this can be written as TFR = Cm × Cc × Ci × Ca × TF. In 2005, the index of married women in urban areas was lower than rural, but it was unfortunately the same in urban and rural areas in 2011. For the last decade, the index of postpartum infecundability had a great fertility reduction effect compared with the contraception index and marriage index in rural Ethiopia. The lower the four indices of proximate determinants, the more fertility will be reduced. As such, the Ethiopian government, international non-governmental organizations and policy-makers must pay attention to increase the prevalence of contraceptive use and educate society to fight against child marriage. Permanent contraceptive use, such as female sterilization, should be promoted; moreover, legal organizations and the community must work together to raise the legal age of marriage to 18 years.

Publisher

SAGE Publications

Subject

Development,Geography, Planning and Development

Reference12 articles.

1. Anyara EL, Hinde A (2006) Fertility transition in Kenya: A regional analysis of the proximate determinants. Southampton, UK: Southampton Statistical Sciences Research Institute, 55pp. (S3RI Applications and Policy Working Papers, A06/03).

2. A Framework for Analyzing the Proximate Determinants of Fertility

3. The Fertility-Inhibiting Effects of the Intermediate Fertility Variables

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