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ID:
175231
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| Summary/Abstract |
Based on the household-level dataset of 1472 rural households in China in 2015, this paper provides detailed patterns of electric appliance usage in rural China and examines the factors affecting it by using a multinomial logit model. Results reveal that rural households with higher per capita incomes, with large household size and dwelling areas, are more likely to purchase energy-efficient-labeled appliances than families with lower incomes, with small household size and dwelling areas. Rural households with higher education but relatively low incomes may be hampered in their purchase of energy-efficient appliances. Households using biomass are less likely to purchase appliances in general and energy-efficient labeled washing machine and TVs in particular. Findings suggest that providing subsidies to rural households for energy-saving appliances in rural China may encourage the choice of energy-efficient appliances.
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| 2 |
ID:
094661
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| Publication |
2010.
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| Summary/Abstract |
This article uses multivariate regression and decomposition analyses to assess household income mobility determinants and their contributions to income mobility in rural China from 1989 to 2006. The findings indicate that households with lower initial income level, higher share of wage income, higher educational level of household members, larger number of non-agricultural employed household members and younger heads are more mobile. Moreover, besides initial income, change in the share of wage income, change in the share of non-agricultural employed household members, and change in average year of education of household members are the most important factors that account for income mobility. These findings necessitate more emphasis on policies that promote non-agricultural employment and education to enhance household income mobility in rural China.
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| 3 |
ID:
136232
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| Summary/Abstract |
In Ethiopia biomass is predominantly utilized for household energy needs often using inefficient rudimentary stoves which cause adverse environmental and welfare effects. This paper examined the contribution of biomass resources to rural household energy use and energy substitution. The analysis applied the ordinary least square in the final stage estimation of fuelwood and overall biomass energy consumption by using predicted shadow prices. The paper used Tobit model to estimate charcoal and agricultural fuel consumption due to the presence of censoring. An increase in fuelwood shadow price was associated with reduced household fuelwood consumption with price elasticity of −0.38. The cross price elasticity between fuelwood and agricultural fuels revealed no evidence of energy substitution, which conforms to the findings of previous studies. Household access to electricity was associated with lower household biomass energy utilization but kerosene was not fuelwood substitute. Household energy use conformed to the ‘fuel stacking’ or ‘multiple fuel use’ concept, but households preferred modern energy options as welfare increased in areas where modern energy is available. This suggests that there is a promising prospect for fuel-transition, but access to modern energy and economic growth have key roles. The findings suggest that a concerted policy effort is required that would help diversify rural livelihoods, improve living standards and encourage economic growth, encourage inter-fuel substitution through improved modern energy access and afforestation to increase biomass supply.
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