FACTORS AFFECTING MARKETING PERFORMANCE OF ONION PRODUCT IN MISRAK SILTI DISTRICT, SILTIE ZONE, CENTRAL ETHIOPIA.

Abstract Onion is one of the important commercial vegetable crops grown in Ethiopia, with significant economic and health benefits. It also occupies an economically important place among vegetables in the country. This study aims to assess factor affecting of marketing performance of onion product, in the case of Misrak silti district. Misrak Silti district was selected purposefully with a multi-stage sampling method on the bases of product potential. The descriptive statistic, inferential statistic, and econometrics model were used to analyze the collected data. The researcher used simple random sampling for respondent selection from the selected Kebeles 565 total small holder and 234 sample HH heads was selected as sample size and researcher used descriptive and econometric model. To analyze data in Descriptive statistics was used in the method of frequency, mean, percentage, standard deviation. From the independent variable sex, age, marital status, education level, farm income ,off farm, land fertility rate, credit, extension service are categorical variable. And also land in hectare, distance from the market, family size, and farm experience are continuous variable. Econometric model, multiple linear regression models was used to analyze determinant variables for market participation and product of the onion. The analysis was made econometric model using STATA 15 software. The results of the study also indicated Mean square residual can be obtained by sum square residual divided by its degree of freedom if the model is said to good the F statistics obtained from the model is at least greater than one. In general the result shows a strong relationship between the dependent and independent variables of the study with F-statistic or F-ratio of 0.85 for the overall analysis. Generally, inferential statistical method like correlation analysis was used to assess the relationship between independent variables and marketing performance, multiple linear regression analysis also employed to examine the influence of independent variables on marketing performance by using primary data collected through a five - point Likert scale questions. The governmental and nongovernmental organization access to road and transport facilities and educational opportunities