Home / Economics / Determinants of fertility rate among women and the implications for population growth- a comparative study of nigeria and ghana

Determinants of fertility rate among women and the implications for population growth- a comparative study of nigeria and ghana

 

Table Of Contents


Chapter ONE

1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Research
1.9 Definition of Terms

Chapter TWO

2.1 Overview of Fertility Rates
2.2 Factors Influencing Fertility Rates
2.3 Socio-Economic Factors and Fertility
2.4 Cultural Influences on Fertility
2.5 Educational Attainment and Fertility
2.6 Healthcare Access and Fertility
2.7 Government Policies and Fertility
2.8 Comparative Study of Nigeria
2.9 Comparative Study of Ghana
2.10 Summary of Literature Review

Chapter THREE

3.1 Research Design
3.2 Population and Sample Selection
3.3 Data Collection Methods
3.4 Data Analysis Techniques
3.5 Ethical Considerations
3.6 Validity and Reliability
3.7 Pilot Study
3.8 Limitations of Methodology

Chapter FOUR

4.1 Overview of Research Findings
4.2 Demographic Profile of Participants
4.3 Comparison of Fertility Rates
4.4 Factors Contributing to Fertility Differences
4.5 Implications for Population Growth
4.6 Regional Disparities in Fertility
4.7 Policy Recommendations
4.8 Future Research Directions

Chapter FIVE

5.1 Summary of Findings
5.2 Conclusions
5.3 Implications for Policy
5.4 Recommendations for Practice
5.5 Contributions to Knowledge
5.6 Areas for Future Research
5.7 Reflection on the Research Process
5.8 Conclusion and Final Remarks

Project Abstract

The paper examines the determinants of fertility in Nigeria and Ghana using the Ordinary Least square econometric model. The determinants of fertility that are subjected to empirical scrutiny include income of household, rural-urban concentration of population, age composition of women in the total population, education or literacy rate among women, and prevalence use of contraceptives among women in childbearing age. The result shows that the use of contraceptives, income, education attainment among Ghana women and rate of urbanization are significant determinants of fertility in Ghana; while age composition, income, education attainment and rate of urbanization are determinants of fertility in Nigeria. The paper also revealed that age composition and use of contraceptives are not associated with fertility in Ghana and Nigeria, respectively. Generally, the determinants of fertility in both countries are mixed. In Ghana, high fertility is associated with high income, while education attainment and composition of female population is associated with high fertility in Nigeria. On the other hand, education attainment, prevalence use of contraceptives, and rate of urbanization are responsible for decline in fertility in Ghana; while rate of urbanization and income are responsible for decline in fertility in Nigeria. Furthermore, the poor in Nigeria are more likely to have more children unlike in Ghana where affluence is associated with high fertility. On the strength of the findings, the study recommended that there is the need to increase the momentum in the sensitization of women on the use of family planning as means controlling fertility in Nigeria. Also, more sensitization about birth control should be focused and intensified in the rural area to reduce the fertility rate.

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