Determinants of land management technology adoptions by rural households in the Goyrie watershed of southern Ethiopia: Multivariate probit modeling estimation.

Land management technology (LMT) adoption is one of Ethiopia's crucial strategies to combat soil depletion and promote agricultural production. However, there is scant information concerning the intensity, interdependent nature, and households' decision to adopt multiple LMTs. Thus, the purpose of this study is to identify factors influencing households' decisions to adopt multiple LMTs and the intensity and interdependency of the technologies in the Goyrie watershed of southern Ethiopia. The data was collected from 291 randomly selected household heads, focus group discussion participants, and key informant interview respondents. The quantitative data was analyzed using descriptive statistics and econometric methods like multivariate probit and ordered probit modeling, while the qualitative data was presented through content analysis. The result indicated that more than half of respondents (67 %) applied one or two LMTs. The highest complementary effects were observed in mixed soil bunds with grasses and manure applications. However, soil bunds and fanya-juu, manure application and agroforestry showed interchangeability with one another. Sex, education, family size, landholding size, access to development agents and credit institutions, training, and village membership increased the probability of adopting multiple LMTs, whereas age, land rent, and crop sharing discouraged the likelihood of households' decisions to adopt LMT. The results of the ordered probit model revealed that village membership and contact with extension agents highly encouraged the intensity of LMT adoptions. Thus, policymakers and planners should consider social, institutional, human asset, and technological related factors to increase adoption rates and intensity of land management technologies.