Climate change has brought renewed and increasing attention to the productivity and efficiency of the water sector. This has stimulated interest, which has manifested itself in the increased application of statistical tools to measure the productivity and efficiency of water utilities. Policymakers in developed countries are already making use of statistical analyses of water systems for determining productivity and efficiency.
Renewable Resources and Conservation: Water
It is publically acknowledged that South Africa has recently met is Millennium Development Goal of halving water and sanitation services (WSS) backlogs. However, significant deficits remain, especially in the case of sanitation. These shortfalls are unevenly distributed across provinces and can be tracked by socio-economic status. This paper seeks to examine and identify those socio-economic factors that may affect poor WSS provision in South Africa. Using the 2014 South African General Household Survey (GHS), socio-economic indicators and access to WSS were analysed.
Climate variability can affect economies directly through its impact on agricultural output, and indirectly, through its effect on the activities of down-stream industries and household welfare. This paper uses a Computable General Equilibrium model with a disaggregated agricultural sector to analyse the impact of a drought on the Ugandan economy. The losses were assessed with respect to GDP, agricultural output, employment, the trade balance and household consumption. The drought effects were shown to vary by sector.
Water resource intensity measures the intensity of water use in terms of volume of water per unit of value added. It is an internationally accepted environmental indicator of the pressure of economic activity on a country's water resources and therefore a reliable indicator of sustainable economic development.
This study argues that the adaptation measures farmers take to reduce the negative impacts of climate change do affect farmers’ efficiency of production. To support this argument, two steps were followed to understand how climatic factors especially long term average seasonal rainfall and temperature; and agro-ecological settings affect production efficiency in Ethiopian agriculture. In the first step, the stochastic frontier approach was employed to analyze the farm level technical efficiency.