Abstract:
The adoption of sustainable land management practices (SLMP) is pivotal to handling land
degradation and ensuring the sustainable use of limited land resources. Despite decades of research
and development efforts, land degradation remains a serious environmental problem in many parts
of the world. Farmers in Ethiopia and other Sub-Saharan African countries employ a variety of
agricultural land management (SLM) practices to mitigate the negative impacts of land degradation.
The SLM practices were intended to increase income and crop production further ensuring food
security. Despite the widespread use of these (SLM) practices, little research has been done on how
it affects crop production and related income, particularly linked to the viewpoints of interdependence
between SLMP adoption and perceptions of land degradation. Ethiopia has long been regarded as a
hotspot for land degradation one of the major threats to agricultural productivity, long-term food
shortages, rural poverty, and the dimensional vulnerability of the people. So, it is crucial to
understand farmers' perceptions of land degradation and determine the impacts of SLMP on crop
production and income responses that differ in temporal and regional dimensions. Hence, the
objectives of this study were to identify the determinants of farmers' perceptions of land degradation,
their adoption of SLMP, the impacts of SLMP on crop production and income, and their
interrelationships in Oromia, Ethiopia's west Wollega zone. The researcher used cross-sectional data
collected from 426 farm household heads (225 participants and 201 nonparticipants), randomly
selected from five districts of the west Wollega zone of Oromia Regional State, Ethiopia. Both
descriptive statistics and econometric models were used to analyze the data. The descriptive result
revealed that 58.4 %, 11.4%, 15.2%, 12.1%, and 2.91 %, of the sampled farm households,
respectively, perceived negligible, minor, moderate, severe, and extreme degradation in the study
area. The results also showed that the sampled household had a very low perception of land
degradation in sampled districts of the study area: with 44.2%, 59.5%, 43.9%, 41%, and 51.2% of
Najo, Boji, Gimbi, Mana-Sibu, and Ganji, respectively. An ordered logit was used to identify factors
influencing households' perception of land degradation. The results confirmed that household
education level, household size, total farmland size, experience, extension contact, access to NGOs,
farmland slop type, and off/non-farm participation affected households' perception of land
degradation in the study area. As a trivariate probit model shows, the likelihood that framers in the
study area would choose fertilizer, area closure, SWC, crop rotation, and compost, respectively, was
37.2%, 35.3%, 40.5%, 38.2%, and 38.5%. The simulated maximum likelihood predicted joint probability of success or failure of the five SLMPs from the MVP model has shown 23% and 49.6%
of the joint probability of success and failure of all SLMPs by the households in the study area. A
multivariate (trivariate) probit model's findings also showed that cooperative member, off-farm
participation, model farmer contact, perception of land degradation, the perceived cost of inputs,
credit access, farming experiences, livestock holding, farm slopes, access to information, and the
NGOS interventions had a significant positive influence on the SLMP participation decisions, while household age had a negative impact. The outcome of the impact analysis using PSM demonstrates
that participation in the SLMP boosts household income and crop production while lowering land
degradation risks for participant households in the study area. The significance of Breusch- Pagan's
test of independence and the correlation of seemingly unrelated error factors in a trivalent. probit
regression model revealed strong links between farmers' perceptions of farmland degradation, SLMP
decisions, and SLMP impacts on crop and income improvement. The interdependence relationships
in the study area have been positively affected by household education, access to information, total
farmland size, cooperative members, farmland slop, the NGOs’ interventions, and access to
irrigation, while negatively affected by age, the distance of farmland from household residence and
distance to the closest market. Therefore, the study suggests that policymakers and local development
experts should improve farmers' understanding of land degradation by addressing the various factors
that influence farmers' perceptions of land degradation, which are distinct significantly among farm
households. Moreover, the study recommended that the regional and local governments should design
various specific programs to resolve the constraints for scaling up policymakers' focus on SLMP
campaigning. This can be addressed by expanding the use of SLM practices by supporting more
sources of income, promoting the use of labor-saving technologies, encouraging the establishment of
local irrigation systems, strengthening farmers' cooperative groups, raising farmers' literacy levels,
encouraging soil conservation methods, expanding the scope of rural microfinance intuition services,
and establishing local information provision center in the study area