Shaking Out or Shaking In: The Impact of Zimbabwe's Economic Crisis on the Country's Manufacturing Sector Allocative Efficiency

Zimbabwe had one of the world's worst economic crises from the late 1990s to 2009. The crisis encompassed a nancial sector crisis, severe adverse investment and demand shocks and idiosyncratic rm and industry interventions by government. On the basis of the resource misallocation hypothesis, the study investigates the effects of the shocks on within industry resource allocation effciency for the country.

Effects of Wildlife Resources on Community Welfare: Income, Poverty and Inequality

This paper demonstrates the importance of wildlife in the portfolio of environmental income in the livelihoods of poor rural communities living adjacent to a national park. The results show that wealthier households consumed more wildlife products in total than relatively poor households. However, poorer households derive greater benefit from the consumption of wildlife resources than wealthier households. Excluding wildlife compromised the relative contribution of environmental resources while at the same time increasing the relative contribution of farm and wage income.

An Evaluation of the Cost and Revenue Efficiency of the Banking Sector in Zimbabwe

The study was meant to evaluate the cost and revenue efficiency of the Zimbabwean banking sector during the period 2009-2014. The study employed the Data Envelopment Analysis and the Tobit Regression methods. The estimation of cost and revenue efficiency shows that revenue and cost efficiency increased during the period 2009-2012. This coincided with high positive growth rates and economic stability. Efficiency declined in 2013-14 as a result of government controls on banking sector pricing and general decline in economic activity.

Assessing Banking Sector Competition in Zimbabwe Using a Panzar-Rosse Approach

This paper assesses the level of competition in Zimbabwe’s banking sector using the Panzar-Rosse H-statistic. The H-Statistic has been assessed, using the total revenues regression equation, and applying the panel least square regression model with fixed effects. The H-statistics is estimated at 0.56, which result is confirmed, using bank random effects and the General methods of moments, yield similar results.

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