Student Bio
Wangui Ngina is a 24-year-old established digital marketer currently working with Afrologyx, a fast-rising digital marketing agency. Ngina maintains professionalism in everything she does and has made an outstanding record that has earned her quite a demanding position, Vice-president of projects. She has exemplary inter-personal skills that have enabled her to achieve a lot working with both the top management and fellow colleagues within the agency. She has preceded her track record working at the agency by combining her talents and creative abilities to assure the successful accomplishment of organizational goals thus far. Besides the awesome work she is doing in the marketing agency, Ngina holds a Bachelor's in Actuarial Science from JKUAT and recently concluded her masters in the same at the University of Nairobi. Ngina has made a name for herself working at Kenya Orient Insurance under the Credit Control Department within which the organization was able to meet its goals for the period. Ngina desires to be on top of her game, something she achieves by being an avid reader of articles and publications of industry changes, trends, and developments. When not working or reading, she enjoys interacting with nature, sessions that allow her to unwind and enjoy the moment as she prepares to forge ahead.
Project Summary
Project Title: Modelling Efficacy of Demographic Changes on Capital Investment Returns: A Case of Kenya between 1965 and 2015
Abstract
Demographic changes have long been assumed to affect investment decisions. Little is known about the efficacy of demographic variables on capital investment despite the rising concerns in unemployment. Capital investment has been identified as important in solving the problems associated with demographic changes. There exists a huge gap in the literature between demographic changes and capital investment. Therefore, in this study, the focus is to establish the efficacy of demographics changes on capital investment returns using a case study of Kenya between for data collected between 1965 and 2015. The study specifically sorts to estimate mathematical model explaining the relationship between average age increase and capital investment, model population growth rate and capital investment returns, determine the relationship between life expectancy and capital investment returns and model dependency ratio, and capital investment returns. The study used secondary data sourced from the public website. Data analysis via SPSS, excel, and R establish that average age increase, population growth rate, life expectancy, and dependency ratio all have a positive correlation with capital investment returns since the Pearson’s correlation values obtained are 0:252; 0:492; 0:305 and 0:269 respectively. Regression analysis established that average age increase, dependency ratio, and life expectancy positively influence capital investment returns while population growth rate negatively impacts capital investment returns. Model analysis suggests that the average age increase positively impacts capital investment. The model equation for population growth rate and capital investment return have logarithmic relationships. The model analysis determines that life expectancy and capital investment return has direct proportionality. Dependency ratio and capital investment return have direct proportionality. The study concludes that demographic variables used are useful in predicting capital investment in Kenya. The study recommends an extension of the period under review and the addition of other demographic variables to add knowledge to the area.