Department of Economics, College of Business and Economics, Samara University, Samara, Ethiopia.
PLoS One. 2021 Sep 23;16(9):e0257366. doi: 10.1371/journal.pone.0257366. eCollection 2021.
The tomato had nutritional, economic and health benefits to the societies, however, its production and productivity were low in developing countries and particularly in Ethiopia. This might be due to technical inefficiency caused by institutional, governmental, and farmers related factors. Therefore this study tried to investigate the factors that affecting technical efficiency and estimating the mean level of technical efficiency of tomato producers in Asaita district, Afar Regional State, Ethiopia. Both primary and secondary data sources were used; the primary data was collected from 267 tomato producers from the study area cross-sectional by using a multistage sampling technique. The single-stage stochastic frontier model and Cobb Douglas production function were applied and statistical significance was declared at 0.05. The maximum likelihood estimates of the stochastic frontier model showed that land, labor, tomato seed, and oxen have a significant effect on tomato output; and education, extension contact, training, and access to credit have a positive and significant effect on technical efficiency, whereas household size, off-farm income, livestock ownership, distance to market, and pesticides have a worthy and significant effect on technical efficiency; and also estimated mean technical efficiency of tomato producer in a study area was 80.9%. In a line with this, the responsible body should prioritize rural infrastructure development in areas such as education, marketplace, and farmer training centers; demonstrate access to credit and extension services; use the recommended amount of pesticides per hectare, and give more intension to mixed farming rather than animal husbandry exclusively.
番茄对社会具有营养、经济和健康益处，然而，在发展中国家，尤其是在埃塞俄比亚，其生产和生产力都很低。这可能是由于制度、政府和农民相关因素造成的技术效率低下。因此，本研究试图调查影响技术效率的因素，并估计埃塞俄比亚阿法尔州阿赛塔地区番茄生产者的平均技术效率水平。本研究同时使用了原始数据和二手数据；原始数据是通过多阶段抽样技术从研究区的 267 名番茄生产者中收集的。应用了单阶段随机前沿模型和柯布-道格拉斯生产函数，并在 0.05 水平上宣布了统计显著性。随机前沿模型的最大似然估计表明，土地、劳动力、番茄种子和耕牛对番茄产量有显著影响；而教育、推广联系、培训和获得信贷对技术效率有积极和显著的影响，而家庭规模、非农收入、牲畜所有权、到市场的距离和农药对技术效率有显著影响；研究区番茄生产者的平均技术效率估计为 80.9%。与此一致的是，责任机构应优先考虑农村基础设施发展，如教育、市场和农民培训中心；展示获得信贷和推广服务的机会；按每公顷推荐的农药用量使用，并更加注重混合农业，而不是单纯的畜牧业。
