Fertility transition status in Sub Saharan Africa

Abstract

Fertility transition has been identi ed to be a¤ected by numerous factors. This research aimed at investigation of the most e¤ective factors a¤ecting fertility transition in Kenya. These factors were rstly extracted from literature, convened into demographic features, social economic features, social cultural features, reproductive features and moderniza- tion features. All these factors had 23 parameters identi ed for this study. Principal component analysis (PCA) was utilized using 23 parameters; Principal component analy- sis conveyed religion, region, education and marital status as the factors. PC scores were calculated for every point. The identi ed principal components were utilized as forecast- ers the multiple regression model with the fertility level as the response variable. The four components were found to be a¤ecting fertility transition di¤erently. It was found that fertility is a¤ected positively by factors region and marital status and negatively by factors religion and education. These four factors can be considered in the planning policy in Kenya.