Statistical Analysis of Crop Production Risks of Households in Jimma Rare District, Horro Guduru Wollega Zone, Ethiopia

Abstract

Background: This study aims at assessing the factors influencing households’ crop production risks due to hail or heavy rainfall in Jimma Rare District. Methods: The data was generated from primary source and 196 households were selected from Jimma Rare District using Multistage sampling techniques. Both descriptive statistics and econometric model (Poisson or Negative Binomial regression) were applied in this study to analyze the data collected from the selected sample households. Results: The survey result shows that, the average number of crop production risks due to hail or heavy rainfall was 1.62 with variance equal to 2.04. The result of Negative binomial regression model shows that, age of household heads and total land size have positively and significantly influenced the number of crop production risks due to hail or heavy rainfall faced by households, but negatively affected by livestock size, access to extension service, and access to training. Conclusion: This study revealed that rural households are affected by different demographic and socio-economic factors, farm characteristics, institutional factors, and environmental factors. Specifically, the finding revealed that, an increase in age of household heads and total land size increases number of crop production risks faced by farmers due to hail or heavy rainfall in the area whereas an increase in livestock size, access to extension service, and access to training decreases the number of crop production risks due to hail or heavy rainfall by farmers in the study area. Therefore, the study recommends that, improving access to training, availability of agricultural inputs at planting time, and preparing experience sharing among farmers should be promoted to decrease number of crop production risks due to hail or heavy rainfall and increase the productivity of farmers by appropriate decision of crop production in the study area.

Keywords: Households, Crop Production Risks, Jimma Rare, Poisson regression, Negative binomial regression, Oromiya, Ethiopia

DOI: 10.7176/JBAH/10-10-04

Publication date:May 31^st 2020