The aim of this paper is to investigate the mediating factors of fertility levels and trends in Sub-Saharan African CSSA） countries. The major sources of data of the study are the 2001 and 2002 UNDP （United Nations ...The aim of this paper is to investigate the mediating factors of fertility levels and trends in Sub-Saharan African CSSA） countries. The major sources of data of the study are the 2001 and 2002 UNDP （United Nations Development Program）, covering 42 SSA countries. The selected antecedent variables of fertility levels and trends include： GDP per capita; female adult literacy rate; infant mortality rate; contraceptive prevalence rate; breastfeeding; access to health services; undernutrition; and level of urbanization. The main analytical techniques of the study include simple central tendency descriptive statistics and advanced multiple regression models. The outputs of the correlation matrix and regression models are shown to influence the levels and trends of fertility positively or negatively, increasing or decreasing fertility levels among the countries. But, contraceptive prevalence level appears to be relatively powerful at 5% significance level, relatively more decline with the level of urbanization and positively related with poverty level, which cumulatively gives rise to 5.9 total fertility rate per woman. Accordingly, with declining mortality and high fertility level, the era of rapid population growth in SSA countries has not yet been over with all its implications on sustainable development.展开更多
文摘The aim of this paper is to investigate the mediating factors of fertility levels and trends in Sub-Saharan African CSSA） countries. The major sources of data of the study are the 2001 and 2002 UNDP （United Nations Development Program）, covering 42 SSA countries. The selected antecedent variables of fertility levels and trends include： GDP per capita; female adult literacy rate; infant mortality rate; contraceptive prevalence rate; breastfeeding; access to health services; undernutrition; and level of urbanization. The main analytical techniques of the study include simple central tendency descriptive statistics and advanced multiple regression models. The outputs of the correlation matrix and regression models are shown to influence the levels and trends of fertility positively or negatively, increasing or decreasing fertility levels among the countries. But, contraceptive prevalence level appears to be relatively powerful at 5% significance level, relatively more decline with the level of urbanization and positively related with poverty level, which cumulatively gives rise to 5.9 total fertility rate per woman. Accordingly, with declining mortality and high fertility level, the era of rapid population growth in SSA countries has not yet been over with all its implications on sustainable development.
