This paper applied the concept of survival analysis to estimate productivity duration among A1 farmers in Zimbabwe and to identify the main factors influencing the probability of productivity. The Cox hazard model and the Weibull parametric model were applied in this study to analyse farmer productivity and a sample of 176 randomly selected farmers and a questionnaire was administered to solicit information on the wages, education level and the level of government support in terms of input subsidies. The results showed that educated farmers are more likely to be productive and take lesser time to increase their productivity levels compared to less educated farmers. This then pointed to the fact that the government of Zimbabwe should have targeted the education of farmers first before embarking on resettling the A1 smallholder farmers and this can also be considered in future land reforms. The study recommended that there be farmer education initiatives to speed up their graduation from survivor to hazard farmers.

The study investigates the relationship between stock market development and economic growth in the Southern African Development Community (SADC) region for the period 1993-2017. The controversy around the stock market development and economic growth nexus is of concern to the SADC which has been experiencing retarded growth while their stock markets are at different levels of development. To establish the relationship among variables of interest, the study used the Auto Regressive Distributive Lag (ARDL) model. The results revealed that there is bi-directional causality both in the short and long run between stock market development and economic growth. The findings further show that trade openness and investment significantly determine stock market development and economic growth in the long run. The result calls for SADC member countries to develop policies that enhance economic growth as well as improving stock market development.