Like in most Sub-Sahara Africa, State-Owned Enterprises (SOEs) in Cameroon have a complex, overlapping and unclear management model that impacts its performance. The purpose of this study is to evaluate the effect of managerial skills on the performance of SOEs in Cameroon. Survey research design was used to collect data from top and middle level managers. The sample was drawn form 10 of the 14 SOEs that are wholly or partially owned by the state. By using purposive sampling, likert scale data was collected using questionnaires. The explanatory variables were managerial skills (conceptual, technical, interpersonal, budgeting and planning, cost control and ability to secure capital) and the outcome variable was performance. Managers were asked to rate their abilities in possessing some skills. Their opinions were also asked about the performance of the enterprises they manage. By analyzing the data using Ordinal logistic regression it was found that conceptual, technical, interpersonal, budgeting and planning skills had significant and positive effect on performance while cost control and skills to secure capital had insignificant and positive effects on performance. To improve performance, the study recommended that the government should organize skill-based training seminars for the three management levels (supervisors, middle and top managers).

The objective of this study is to investigate in to the drivers of private equity penetration in Cameroon, Nigeria, Ghana, Kenya and South Africa. Secondary data was collected from private equity and venture capital data bases (CapitalIQ, Preqin, Burgiss and Mergermarket), World Bank development indicators, regional private equity and venture capital associations and country specific stock market websites. The Panel Two-Stage Least Squares Instrumental Variables (2SLS IV), Panel Corrected Standard Errors (PCSE) and Feasible Generalised Least Squares (FGLS) estimation techniques were used. This was due to potential problems of endogeneity and spherical errors of serial correlation, heteroskedasticity, cross sectional dependence and multicollinearity. The results using the 2SLS IV estimation technique show that stock market capitalisation, GDP per capita, banking credit to private sector, real exchange rate and private investments are key macroeconomic drivers of private equity penetration in the selected Sub-Saharan African countries. Inflation had negative and insignificant effect on private equity penetration in the selected countries. The results using the PCSE and FGLS estimation techniques show that the signs of all the variables remain the same as was the case in the 2SLS IV estimation technique though the magnitudes were different. However, the results of PCSE and FGLS estimation techniques show that banking credit to private sector is significant in the FGLS model while private investments is significant in the PCSE model. GDP per capita, real exchange rate, stock market capitalisation and inflation are significant in both the PCSE and FGLS estimation techniques.