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Stylized Facts and Review of the Relation between Contraceptive Use, Delinquency and Age Structure in Nigeria, and It’s Implications for Demographic Dividend

DOI: 10.4236/oalib.1104321, PP. 1-13

Subject Areas: Demography

Keywords: Contraceptive Methods, Age Structure, Demographic Dividend, Delinquency Rate

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Abstract

The young population structure of most African countries will serve as a driving force behind economic buoyancy in years to come, only if strategies are put in place to encourage smaller families. Forty percent of the Nigerian population is below 15 years, while 3 percent are 65 years and above. A large workforce with fewer children to support creates a window of opportunity to save money on health care and other social services. This study seeks to examine the association between contraceptive use, delinquency and age structure of Nigeria population; to identify ways of achieving the demographic dividend. Data were extracted from the Nigeria Demographic and Health Survey Report in 2008, United Nations World Population Prospects Report (2008) and World Population Data Sheets (2009-2016). Uses of trends (tables and charts) were adopted in presenting data in this study. Findings show that contraceptive prevalence level in the country is very low, it ranged from 11%-15% within the selected periods. The desire to limit childbearing as the number of living children increases was reported to be common among women with three or more children in both urban and rural areas. Mothers with post-secondary education on the average had 4 children, while those without education had 8 children. Education is that best contraceptive to achieve the age structure that would result in demographic dividend; hence more investments in women education are needed. Also, job opportunities for different levels of skill are required as this encourages dual role among women apart from rearing children.

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Ajibola, A. , Jacob, O. A. and Omotosho, E. (2018). Stylized Facts and Review of the Relation between Contraceptive Use, Delinquency and Age Structure in Nigeria, and It’s Implications for Demographic Dividend. Open Access Library Journal, 5, e4321. doi: http://dx.doi.org/10.4236/oalib.1104321.

References

[1]  Aspen (2011) Family Planning Promotes the Demographic Dividend. Global Leaders Council for Reproductive Health, Aspen Institute, Washington DC.
[2]  Population Action International (2013) Healthy Families, Healthy Planet. Population Action International, Washington DC.
[3]  Sippel, L., Kiziak, T., Woellert, F. and Klingholz, R. (2011) Africa’s Demographic Challenges: How a Young Population Can Make Development Possible. Institute for Population and Development, Berlin.
[4]  Cleland, J., Bernstein, S., Ezeh, A., Faundes, A., Glasier, A. and Innis, J. (2006). Family Planning: The Unfinished Agenda. Lancet, 368, 1810-1827.
https://doi.org/10.1016/S0140-6736(06)69480-4
[5]  National Population Commission (NPC), Nigeria and ICF Macro (2009) Nigeria Demographic and Health Survey 2008. National Population Commission and ICF Macro, Abuja.
[6]  Leahy, E. (2007) The Shape of Things to Come; Why Age Structure Matters to a Safer and More Equitable World. The Fifth African Population Conference, Arusha, 10-14 December 2007.
[7]  United Nations Population Division (2011) World Population Prospects: The 2010 Revision. United Nations, New York.
[8]  Bloom, D.E. and Canning, D. (2008) Global Demographic Change: Dimensions and Economic Significance. Population and Development Review, 34, 17-51.
[9]  Bongaarts, J. and Sinding, S. (2011) Population Policy in Transition in the Developing World. Science, 333, 574-576.
https://doi.org/10.1126/science.1207558
[10]  Pritchett, L.H. (1994) Desired Fertility and the Impact of Population Policies. Population and Devel-opment Review, 20, 1-55.
https://doi.org/10.2307/2137629
[11]  Lutz, W. and Samir, K.C. (2011) Global Human Capital: Integrating Education and Population. Science, 333, 587-592.
https://doi.org/10.1126/science.1206964
[12]  Bloom, D.E. and Williamson, J.G. (1998) Demographic Transitions and Economic Miracles in Emerging Asia. World Bank Economic Review, 12, 419-455.
https://doi.org/10.1093/wber/12.3.419
[13]  Canning, D. and Malaney, P.N. (2000) Population Dynamics and Economic Growth in Asia. Population and Development Review, 26, 257-290.
[14]  Kirk, D. and Pillet, B. (1998) Fertility Levels, Trends and Differentials in Sub-Saharan Africa in Sub-Saharan Africa in the 1980s and 1990. Studies in Family Planning, 29, 1-22.
https://doi.org/10.2307/172178
[15]  Carr, D.L. and Pan, W. (2002) Fertility Determinants on the Frontier: Longitudinal Evidence from the Ecuadorian Amazon.
[16]  Shapiro, D. and Gebreselassie, T. (2007) Fertility Transition in Sub-Saharan Africa: Falling and Stalling.
[17]  de Carvalho, J. and Wong, L. (1998) Demographic and Socioeconomic Implications of Rapid Fertility Decline in Brazil: A Window of Opportunity. In: Martine, G., Das Gupta, M. and Chen, L., Eds., Reproductive Change in India and Brazil, Oxford University Press, Oxford, 208-240.
[18]  Chesnais, J.-C. (1990) Demographic Transition Patterns and Their Impact on the Age-Structure. Population and Development Review, 16, 327-336.
https://doi.org/10.2307/1971593
[19]  Coale, A. and Hoover, E. (1958) Population Growth and Economic Development in Low Income Countries. Princeton University Press, Princeton.
[20]  Jones, G. (2005) Why Are Population and Development Issues Not Given Priority? Asia-Pacific Population Journal, 20, 5-9.
[21]  Rindfuss, R. (1991) The Young Adult Years: Diversity, Structural Change and Fertility. Demography, 28, 493-512.
https://doi.org/10.2307/2061419
[22]  Olaniyan, O., et al. (2009) Population and Economic Progress in Nigeria. Department of Economics, University of Ibadan, Ibadan.
[23]  United Nations (2011) World Population Prospects: The 2011 Revision. United Nations, New York.
[24]  Phillips, J.A. (2006) Explaining Discrepant Findings in Cross-Sectional and Longitudinal Analyses: An Application to U.S. Homicide Rates.
https://doi.org/10.1016/j.ssresearch.2005.07.002
[25]  Steffensmeier, D. and Harer, M. (1987) Is the Crime Rate Really Falling? An “Aging” U.S. Population and Its Impact on the Nation’s Crime Rate, 1980-1984. Journal of Research in Crime and Delinquency, 24, 23-48.
https://doi.org/10.1177/0022427887024001003
[26]  Cohen, L.E. and Land, K.C. (1987) Age Structure and Crime: Symmetry versus Asymmetry and the Projection of Crime Rates through the 1990s. American Sociological Review, 52, 180-183.
https://doi.org/10.2307/2095446
[27]  Gartner, R. (1990) The Victims of Homicide: A Temporal and Cross-National Comparison. American Sociological Review, 53, 92-106.
https://doi.org/10.2307/2095705
[28]  Pampel, F.C. and Gartner, R. (1995) Age Structure, Socio-Political Institutions, and National Homicide Rates. European Sociological Review, 11, 243-260.
https://doi.org/10.1093/oxfordjournals.esr.a036362
[29]  Gartner, R. and Parker, R.N. (1990) Cross-National Evidence on Homicide and the Age Structure of the Population. Social Forces, 69, 351-371.
https://doi.org/10.1093/sf/69.2.351

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