We use three rounds of a rich panel data set to investigate the determinants of household fuel choice and energy transition in urban Ethiopia. We observe that energy transition did not occur following economic growth in Ethiopia during the past decade.
Previous studies on improved cookstove adoption in developing countries use cross-sectional data, which makes it difficult to control for unobserved heterogeneity and investigate what happens to adoption over time.
This paper investigates the opportunities for reducing the pressure of urban centers on rural forest areas, using a dataset of 350 urban households in Tigrai in northern Ethiopia.
We applied an almost‐ideal demand system to fuels. The results suggest that reducing the pressure of urban centers on local forests cannot be seen in isolation from broader development policies aimed at raising the level of education and income of the population. Higher income also stimulates the demand for fuel.
This study undertakes a decomposition analysis to identify the drivers of carbon emissions change in the Swedish business and industry sectors 1993 - 2006. On aggregate, energy intensity decreased, but this does not seem to have been very important for reducing emissions. Rather, fuel substitution seems to have been more important, which is in line with findings from the decomposition literature on Sweden.
It is estimated that approximately 2.5 billion people in developing countries rely on biomass fuels to meet their cooking needs. Biomass fuels are derived from living, or recently living organisms, such as wood and leaves, animal waste and other types of waste. Urban centers have long been dependent on the rural hinterlands for about 90% of their biomass fuel needs in Ethiopia. This is one of the causes of deforestation and has resulted in growing fuel scarcity and higher firewood prices.
This paper examines the multiple fuel choices of urban households in major Ethiopian cities, using panel data collected in 2000 and 2004. The results suggest that as urban and rural households’ total expenditures rise, they use more types of fuels (including wood) and spend more on the fuels consumed. The results also support arguments that multiple fuel use better describes the fuel-choices of households in developing countries, as opposed to the idea that households switch to more expensive but cleaner fuels as incomes rise.
India has been running large-scale interventions in the energy sector over the last decades. Still, there is a dearth of reliable and readily available price and income elasticities of demand to base these on, especially for domestic use of traditional fuels.
This paper describes an integrated modeling approach to combine a top-down, recursive CGE model with a bottom-up, electricity-sector model to simulate two categories of policies.
Fertilizer use (including dung) in Ethiopia is low, particularly in the northern highlands, where dung is a significant source of household fuel.