An Analysis of Key Determinants Shaping Potato Production and Market Supply in the South West Shoa Zone of Ethiopia

Abstract

Potatoes hold a significant role in domestic consumption, contributing to increased food security and serving as a source of income for smallholder farmers. The objective of this paper is to analyze the key determinants of potato production and market supply in the Woliso and Wonchi districts of the South West Shoa Zone in Ethiopia. Drawing data from 368 purposefully and proportionately sampled farmers across four kebeles, the study employs a multiple linear regression model to identify key determinants of potato production. Factors such as the education level of the household head, land allocation for potato cultivation, oxen per hour, usage of improved seed, and fertilizer application significantly and positively influence potato production. Additionally, a two-stage least square regression model reveals that the quantity of potatoes produced, family size, education of the household head, and distance to the nearest market significantly impact the quantity of potatoes supplied to the market. The findings underscore the need for targeted interventions, suggesting that government and stakeholders focus on initiatives promoting education, improved land management, and the provision of essential inputs to enhance both potato production and marketing in the region.

Abstract
Potatoes hold a significant role in domestic consumption, contributing to increased food security and serving as a source of income for smallholder farmers. The objective of this paper is to analyze the key determinants of potato production and market supply in the Woliso and Wonchi districts of the South West Shoa Zone in Ethiopia. Drawing data from 368 purposefully and proportionately sampled farmers across four kebeles, the study employs a multiple linear regression model to identify key determinants of potato production. Factors such as the education level of the household head, land allocation for potato cultivation, oxen per hour, usage of improved seed, and fertilizer application significantly and positively influence potato production. Additionally, a two-stage least square regression model reveals that the quantity of potatoes produced, family size, education of the household head, and distance to the nearest market significantly impact the quantity of potatoes supplied to the market. The findings underscore the need for targeted interventions, suggesting that government and stakeholders focus on initiatives promoting education, improved land management, and the provision of essential inputs to enhance both potato production and marketing in the region. Read More