ABSTRACT
This study examines the effect of overpopulation on standard in Nigeria. Thus, Malthusian theory of population is relevant to Nigeria as a developing economy but this theory is not used in this research due to lack of empirical and scientific evidence. The study used trend analysis of the study with the scope spanning between 1985 and 2014. The study adopted ordinary least square method of analysis in examining the time series properties using the Augmented Dickey-Fuller unit root test. The analysis showed that only population has no unit root at all level but both GDP per capita and life expectancy at birth has unit root. The study revealed that population growth has negative on standard of living proxied as GDP Per Capita. The study later proffers various policies options which government can implement for better economic development as a result of continuous population growth.
TABLE OF CONTENT
TITLE PAGE
CERTIFICATION
DEDICATION
ACKNOWLEDGEMENT
ABSTRACT
TABLE OF CONTENTS
CHAPTER ONE
1.0 Introduction
1.1 Background of study
1.2 Statement of problem
1.3 Objectives of the study
1.4 Hypothesis of the study
1.5 Scope and limitation of the study
1.6 Significance of the study
1.7 Plan or organization of the study
CHAPTER TWO
2.0 Literature Review
2.1 Conceptual issues
2.1.1 Definitions of standard of living
2.1.2 General factors affecting standard of living
2.1.3 Definitions of population
2.1.4 Definition of population growth
2.15 Definitions of overpopulation
2.1.6 Rapid population growth and economic development
2.1.7 The effects of overpopulation
2.18 Causes of overpopulation
2.1.9 Effect of overpopulation on standard of living
2.2 Theoretical review
2.2.1 The Malthusian theory
2.2.2 Demographic transition theory
2.2.3 The kremerian theory
2.2.4 Theoretical framework
2.2.5 Nigeria and demographic transition theory
2.2.6 Standard of living
2.2.7 Ways of measuring standard of living
2.3 Empirical literature
2.3.1 Empirical overview of Nigeria’s population growth
CHAPTER THREE
RESEARCH METHODOLOGY
3.0 Introduction
3.1 Model specification
3.1.1 Dependent variable
3.1.2 Explanatory or independent variable
3.2 Structural presentation of the model
3.3 Mathematical representation of the model
3.4 Nature and source of data
3.5 Method of data analysis and estimation
3.6 Methods of data evaluation
CHAPTER FOUR
PRESENTATION AND ANALYSIS OF RESULTS
4.1 Introduction
4.2 Presentation and evaluation of regression result
4.2.1 The Test for the Unit Root (Augmented Dickey-Fuller Test)
4.22 The regression analysis
4.2.3 Economic criteria
4.3 Presentation of result
4.3.1 The model
4.3.1 The interpretation of the model
4.3.3 Evaluation base on statistical test (first order test)
4.4 Econometric criteria (second order test)
4.4.1 Test for autocorrelation
4.2 Test for heteroscedacity
CHAPTER FIVE
5.1 Summary
5.2 Conclusion
5.3 Policy recommendations
REFERENCE
APPENDIX
