This study analyses the determinants of crime in South Africa using economic, social and demographic variables. The model is estimated using an unbalanced panel of 1044 observations for 15 crimes across the 9 provinces of South Africa over 8 years. A comprehensive analysis of the crime situation is achieved using this data, since it combines the benefits of macroeconomic time series with microeconomic cross sectional series. The statistical results identify significant effects for the income per capita, drug use, ratio of woman to men, the economically active population, degree of urbanisation, unemployment rate and age structure variables. Only one third of all crimes are sensitive to changes in quantity of expenditure on total protection services. Education and change in gross domestic product variables yielded insignificant results.
Patel, N.; Leusink, A.; Singh, N.; Koto, Modise Zacharia; Luvhengo, T.(Health and Medical Publishing Group, 2018-06)
BACKGROUND : Surgical training varies significantly amongst universities within the same country. This trend is reflected in
South Africa and provides an opportunity for innovation to improve the quality of general surgical ...
Wilkins, A.L.; Miles, Christopher O.; De Kock, W.T.; Erasmus, G.L.; Basson, A.T.; Kellerman, T. Stephanus; Verwoerd, Daniel Wynand(Published by the Agricultural Research Council, Onderstepoort Veterinary Institute, 1996)
Saponin C, a β-glucosidase-treated saponin isolated from ethanol-water extracts of a South African
collection of Tribulus terrestris, was shown by one- and two-dimensional NMR spectroscopy to be
ruscogenin 1-O-α-L- ...
Pendock, Catherine(University of Pretoria, 2011-07-04)
This study examines the effect of migration and emotions on knowledge transfer with the intention of identifying the emotions influencing the willingness of South African emigrants to transfer knowledge to South Africans ...