Using a dynamic Computable General Equilibrium (CGE) model of Uganda, we simulate the effects of water shortages and their impact on agricultural production and the broader Ugandan economy. It is expected that Ugandan crop production will be hit hard over the next forty years by increasing temperatures and decreasing precipitation associated with climate change. We use forecasts from the literature for ten specific crop outputs to simulate the effects of weather-related agricultural disruption on the rest of the economy.

The purpose of this paper is to estimate both direct and indirect channels through which imported inputs spur exporting in the African manufacturing sector.

Design/methodology/approach

The authors estimated models for all exporters, direct exporters and indirect exporters using a probit model. The authors circumvented the endogeneity of imported inputs and productivity in the export status models by using their lagged values. The authors employed the World Bank Enterprise Survey data for a set of 26 African countries.

This paper estimates the association between innovation and employment growth among manufacturing firms in Africa. The paper uses a cross-sectional World Bank Enterprise Survey dataset in which innovation is categorised as product innovation and process innovation. Results from the pooled ordinary least squares (OLS) estimation are more efficient compared to IV 2SLS.

One of the principal goals of monetary policy pursued by Central Banks worldwide is virtually price stability. Understanding inflationary dispositions and its determinants is therefore a critical issue from the monetary authorities, scholars and the policy makers viewpoint. The purpose of this paper is to investigate the budget deficit and inflation nexus for Uganda for the period 1980–2016. This is because budget deficit in Uganda has been one of the top topical issues of concern in the country’s historical economic problems.

We study the welfare and energy poverty implications of energy price change scenarios in Indonesia. Our analysis extends previous analyses of energy price impacts at the household level in three ways. First, by employing a household energy demand system (QUAIDS), we are able to distinguish between first- and second-order welfare effects over the income distribution. Second, our results point to the ownership of energy-processing durables as another source of impact heterogeneity.