Does purchase price matter for the waiting time to start using energy efficient technologies: Experimental evidence from rural Ethiopia?

Submitted by Anonymous (not verified) on

this study uses a randomized experiment in rural Ethiopia to test on how quickly energy efficient technology (an improved stove) is put in use after the technologies is disseminated. We evaluate two concepts that may affect usage of a product: screening (related to valuation of a product) and sunk cost effects (based on the price the potential user paid for the product). A standard Tobit and IV-Tobit methods of estimations are used for testing sunk cost and screening effects, respectively.

Energy, Forestry

Technological Innovation and Dispersion: Environmental Benefits and the Adoption of Improved Biomass Cookstoves in Tigrai, Northern Ethiopia

Submitted by Anonymous (not verified) on

This paper empirically analyzes adoption and fuel savings efficiency of improved biomass cookstove technology using survey data from a cross-section of 200 farm households from the highlands of Tigrai, northern Ethiopia. Results indicate that these farm households are willing to adopt improved biomass cookstove innovations if this leads to economic savings. Moreover, results suggest significant positive environmental externalities. On a per household basis, we found that adopters collect about 70 kg less wood and about 20 kg less dung each month.

Energy, Forestry

Determinants of Adoption and Impacts of Sustainable Land Management and Climate Smart Agricultural Practices (SLM-CSA): Panel Data Evidence from the Ethiopian Highlands

Submitted by Eugenia Leon on

This paper analyzes the factors affecting adoption of sustainable land management and climate smart agricultural (SLM-CSA) practices (in particular tree planting, soil conservation and intercropping) and the effects of adoption on crop net revenue. We use two rounds of household and parcel level survey data collected from the East Gojjam and South Wollo Zones in the Amhara region of Ethiopia, in combination with spatially explicit climate data (rainfall and temperature).

Agriculture, Climate Change, Forestry