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Factorial Study of Youth Unemployment Problem Using Principal Component Analysis


O. Ongbali Samson, A. Afolalu Sunday and Y. Salawu Enesi
Abstract

Youth unemployment problem is a prevalent situation in developing economies especially in African and Asian countries. Amid myriad of variables constituting the problem, it is difficult to pinpoint the key variables causing the problem owing to lack of evidence and thus makes the situation complex for intervention by stakeholder. Consequently, this study seeks to establish mathematical prove of the primary variables causing youth unemployment problem to chart direction for intervention by stakeholders for sustainable economy. Over sixty variables causing youth unemployment problems were abstracted from literature and used to construct a structured questionnaires that were administered to respondents whose scores were collated into (n x m) data matrix that served as input variable to the Principal Component Analysis (PCA). Statisti Xl software was employed to compute the data matrix and the variables with high factor loading where identified and extracted as the main cause for youth unemployment problems which include, Poor governance = 0.828, Rapid expansion of educational system = 0.827, Influencing available jobs by VIPs = -0.803, Concentration of social amenities in the urban centers = -0.784 and Infrastructural deficit to promote job creation = 0.780 among others. The pathway to intervention by stakeholder for sustainable society is charted by the finding of this paper to focus on addressing the primary variables while not neglecting the secondary factors.

Volume 12 | 07-Special Issue

Pages: 931-937

DOI: 10.5373/JARDCS/V12SP7/20202185