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| Srl | Item |
| 1 |
ID:
116737
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| Publication |
2012.
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| Summary/Abstract |
It is well known that poor rural households in low-income economies are reliant on traditional fuels to meet basic domestic energy needs, but little is known about the specific underlying socio-economic drivers of residential fuel choices in Ethiopia. I used the linear approximation almost ideal demand system (LAAIDS) with normalized prices to compute expenditure elasticity and a multinomial logit model (MLM) to examine household fuel use. The LAAIDS model result showed that expenditure was elastic for modern fuels, but inelastic for traditional fuels. Regression results from the MLM indicated that fuel choice behaviour of rural households could be more accurately described as 'fuel stacking' behaviour as opposed to the 'energy ladder' hypothesis. In rural areas household fuel choice may be constrained by limited access to commercial fuels and efficient cook stoves, supply dependency and affordability, consumer preferences and a web of other intricate factors. Rural households had less incentive for fuel switching due to underlying factors and the availability of fuel wood without direct financial cost. With continued deforestation and receding forests, households are expected to develop inter fuel substitution and switching behaviour conditional on access to modern energy technologies.
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| 2 |
ID:
191198
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| Summary/Abstract |
In this study, we investigate how households' choice of energy source is influenced by the status of the local forest resource. We assume that households choose between clean fuels (e.g., kerosene, LPG, solar, and electricity), dirty biobased fuels (e.g., firewood, animal dung, crop residues, and charcoal), and mixed fuels. We integrate socioeconomic data with high-resolution satellite data on forest conditions from the Uganda National Panel Survey. The findings from a random-effects multinomial logit model indicate that households in vegetated areas are 6–7% less likely to rely solely on dirty biobased fuels, and 6–8% more likely to use mixed fuels, compared to those in non-vegetated areas. A larger forest stock is more strongly associated with lower use of firewood than charcoal. A possible explanation for the findings is the presence of policies for forest conservation and enhanced forest property rights, which improve forest conditions and limit opportunities to collect firewood. Given households' dependence on forest-based fuels, such policies could need to be modified to secure households’ access to these fuels.
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| 3 |
ID:
186455
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| Summary/Abstract |
Understanding the dynamic behaviour of Sub-Saharan African households as they move along the energy ladder is essential for the energy transition in developing countries. This study applies Fixed and Random effect panel data models to analyse the drivers of rural and urban households' energy transition in Nigeria from 2010 to 2018. The estimation results from the panel models with robust standard errors show that rural households tend to increase their expenses on fuel sources that potentially substitute the energy source whose prices have increased. However, there is no significant relationship between the price and expenditure on different fuels in urban households. Irrespective of spatiality, we find that aside from income – education, household size, and internet access are essential drivers of household fuel choices. More importantly, we find evidence of reverse energy transition. We argue that this reverse energy transition limits the shift to cleaner fuels and increases the economic vulnerabilities of rural households. Our analysis also reveals that Nigerians’ preference for fuels is shifting to be price inelastic. We make a strong case for policies and interventions that raise household income, empower women, reduce the cost of living, and improve clean and affordable energy access to encourage energy transition.
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