Maize Farmers’ Perceptions of Climate Change and Determinants of Adaptation Decisions in Northern Ethiopia


  •  Alem Redda    
  •  Tamado Tana    
  •  Yibekal Alemayehu    
  •  Gebre Hadgu    
  •  Bisrat Elias    
  •  Atkilt Girma    

Abstract

Rain-based agriculture is highly vulnerable to climate variability and change. Farmers’ decisions about how to adapt to climate change are influenced by socioeconomic setups and local institutions. The objectives of this study were to evaluate farmers' perceptions of climate change, identify the local adaptation techniques they used, and pinpoint the major socio-economic challenges they faced when putting those strategies into practice. 250 maize farmers were used as samples for the collection of primary data. Descriptive statistics were used to evaluate the data on socioeconomic characteristics, and the multinomial logistic model was used to identify the factors influencing farmers' decisions to adapt. The majority of households (91.2%) believed that climate change is occurring, and its main symptoms include unpredictable rainfall (88.4%), warming temperatures (83.2%), and more frequent droughts (79.2%). The findings show that farmers' perceptions of rising temperatures and weather data matched; however, there was a discrepancy between perception and rainfall records. Reduced maize yields (78%) and declining soil fertility (83%) were the two biggest effects of climate change perceived by the farmers. Accordingly, 92.8% of farmers have developed their best adaptation, primarily through the combination of crops and livestock (24%) and the adoption of enhanced maize varieties (20.8%). The econometric model's findings showed that the primary variables influencing farmers' decisions were age, gender, education, farm size, animal ownership, and poverty. The study recommends supporting the indigenous adaptation techniques of maize farmers from a variety of institutional, policy, and technological angles, both at the farmer and farm levels.



This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1927-050X
  • ISSN(Online): 1927-0518
  • Started: 2012
  • Frequency: quarterly

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