Assessment of Factors Influencing the Adoption of Sustainable Land Management Practices at the Farm Level in Wondo Genet District, Sidama Regional State, Ethiopia
Tadege Teshome Gebremariam
*
Dilla University, Dilla, Ethiopia.
*Author to whom correspondence should be addressed.
Abstract
The advancing threat of land degradation continues to put sustainable livelihoods at risk in the study area. Diverse array of farm level Sustainable Land Management technologies was recommended as a potential solution for combating land degradation. However, sustained use of these practices is far below the expectation. The current study was conducted with the objective of identifying the determinants of farm level implementation of sustainable land management practices among smallholder farmers in 2023. Systematic random sampling technique was employed for quantitative and qualitative data collection and data analysis were conducted using binary logit model and descriptive statistics.
The results off descriptive and inferential statistics and Binary logistic model result indicate that the determinants of SLM such as sex of the household, family size, and distance negatively influencing the farmers’ decision to implement sustainable land management practices. While resource total livestock unit, extension services, access to credit, information landform are positively impelling the decision of farmers to implement sustainable land management practices. In addition, the key informant interview and focus group discussion revealed that there is a gap between the implementation of SLMP and land policy because of lack of well-organized institutional arrangements for the better implementation of SLM at farm plots. In general, the institutional linkage, strong follow-up and evaluation as well as bottom-up approach on building institutional capacities and strengthening and partnerships between the local, regional and national levels are should be needed for sustained implementation of SLM practices in the study area.
Keywords: Land degradation, sustainable land management, logit model