Households are tremendously affected by changes in food prices. The extent of the impact depends on the income of households. This study is undertaken to analyse the impact of food price changes on food insecurity and economic welfare in selected southern African countries (Lesotho, Malawi, South Africa, Mozambique and Botswana). The Panel Auto Regressive Distributed Lag (PARDL) model is estimated using time series data from the period of 1980 to 2016. The findings of this study showed that food price changes positively affect economic welfare in the long run for the countries. Households that are net food sellers generate a higher income when prices go up. Therefore, food price changes are a gain for these households, especially producers and net sellers. Furthermore, the study revealed that inflation and net trade affect economic welfare for the countries in the short run. As a policy recommendation, the governments of these countries can subsidise food producers, most especially producers of staple foods that are seasonal; this can stabilize food price changes. As a result, both net sellers and net buyers of food can benefit from food prices. In other words, the benefit of food price can spread across to net buyers, not only net sellers. Also the governments of these countries can use monetary policy such as increase in interest rate to combat inflation.

Brazil, Russia, India, China, and South Africa (BRICS) have made a tremendous economic impact on the world. Through the New Development Bank (NDB) and the Trade Facilitation Agreement (TFA) by the World Trade Organization, they have become stronger. This article made use of different views to discuss the implication of the NDB and TFA on BRICS. No empirical analysis was carried out. From the viewpoints of other scholars, the Trade Ministers of the BRICS and the World Trade Organization, the NDB and TFA can enhance intellectual and economic growth in the BRICS countries.

Tax plays an important role in the redistribution of income, and property tax is no exception. One key area that income redistribution curbs is the area of income inequality, and, statistically, most African countries have a high level of income inequality due to their high Gini coefficient. This study examines the effect of property tax on income redistribution in seven Africa countries from 1990 to 2019. The variables used in the study are property tax, Gini coefficient (proxy for income redistribution), income tax, employment rate, GDP per capita growth, and corruption. The panel autoregressive distributed lag (PARDL) was employed as the econometric technique approach. The findings of the study reveal that property taxes have a positive and significant relationship with income redistribution in the long run in the seven African countries studied. This study recommends the effective administration of property tax. If property tax is effectively administered, it can fulfil its redistributive role.