CLEAN FUEL SAVING TECHNOLOGY ADOPTION IN URBAN ETHIOPIA
158 citations recorded by the source corpus.
The heavy dependence and inefficient utilization of biomass resources have contributed to the depletion of forest resources in Ethiopia, while the use of traditional cooking technology has also been linked to indoor air pollution and poor health. In response, the government and other institutions have pushed for the adoption of new cooking technologies, with limited success. This research examines the reasons underpinning the lack of widespread adoption, via duration analysis, correlating the speed of adoption of Mirte and Lakech cook stoves – two examples of new cooking technologies – in urban Ethiopia to socioeconomic factors. According to the duration analysis, adoption rates have steadily increased over time, while economic factors, such as product price, household income and household wealth, are, for the most part, important determinants of adoption behavior. There is also evidence that the availability of substitute technologies tends to hinder adoption, and that there are large regional differences in adoption rates, suggesting the need for a more detailed regional analysis of adoption decisions.
Subfields: Nutrition and Dietetics, Pollution, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/e01ba0325af3ea7122a8b7725939dfea543759ec
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In Nutrition and Dietetics
In Pollution
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Modeling household cooking fuel choice: A panel multinomial logit approach (2015, background): “Beyene and Koch (2013) also find that the adoption of improved stoves increases with household’s income.”
- Does Improvement in Trade Openness Facilitate Renewable Energy Transition? Evidence from Selected South Asian Economies (2018, background): “In a study by Beyene and Koch (2013) on Ethiopia, the factors attributing to the acceptance of environment-friendly energy resources for cooking purposes were empirically analysed.”