Determinants of Adoption of Sustainable Land Management (SLM) Practices among Smallholder Farmersa in Jeldu District, West Shewa Zone, Oromia Region, Ethiopia.
Land degradation in form of soil erosion and fertility loss are ruthless problems in developing countries including Ethiopian Highlands, which have serious implications for food security and livelihoods of local farmers in particular and the nation in general. Low land productivity due to land degradation in form of soil erosion is one of the leading challenges to improving the performance of the smallholder farming system sector in Ethiopia. In this context, the adoption of Sustainable Land Management practices/ technologies is quite crucial to increase agricultural productivity, ensure food security and improve the livelihoods of smallholder farmers. Farmers recommend various SLM practices/technologies for sustainable implementation, but adoption of such agricultural land management practices/ technologies is still very low. There is no clear understanding of the problems encountered by farmers in the adoption of recommended SLM practices/ technologies. Therefore, the main purpose of this study was to assess the socio-economic, institutional, psychological and biophysical determinant factors that influence adoption of SLM practices/technologies among smallholder farmers in Jeldu district in West Shewa zone. Primary data were collected through household questionnaires surveys, focus group discussions, key informants interviews and personal observations while secondary data were collected from relevant local authority reports and records. A total of 224 households were interviewed. Both Descriptive statistics, binary logistic regression model were used to analyze the data. The computed independent T-test for the mean income difference was statistically highly significance between adopters and non-adopters, suggesting that adopters were in better-off position to improve their livelihood. From the 18 explanatory variables entered into the model, 14 variables were found to be statistically significant at less than 5 to 10% probability levels. These are education level
