This study aims to determine the efficiency levels of hair goat farms and to investigate the effect of socio-economic factors on efficiency. The data were collected from 110 hair goat farmers operating in Mersin province of Turkey, in the year 2019. An input-oriented data envelopment analysis (DEA) was used to estimate technical efficiency scores and Tobit regression was employed to determine effective factors on technical efficiency. DEA results showed under the constant and variable returns to scale assumptions that the mean efficiency scores were estimated as 0.67 and 0.76, respectively. The present results indicated that farmers were overusing inputs and they can reduce the inputs by 33% and 24% in order to produce the same level of output. The results further show that farmers’ education (p < 0.05), the number of goats (p < 0.01), income (p < 0.05) and cooperative membership (p < 0.10) are statistically significant factors influencing the technical efficiency of hair goat farms. Technical efficiency of farms should be improved by focusing on the education and extension services for optimum input use, adopting new technologies by encouraging farmers to join cooperatives.

这项研究旨在确定毛山羊场的效率水平，并调查社会经济因素对效率的影响。这些数据是从2019年在土耳其梅尔辛省经营的110个毛山羊农户收集的。采用面向输入的数据包络分析（DEA）估计技术效率得分，并使用Tobit回归确定影响技术效率的有效因素。DEA结果显示，在规模收益为常数和可变的假设下，平均效率得分分别估计为0.67和0.76。目前的结果表明，农民过度使用投入物，为了产生相同水平的产出，他们可以减少33％和24％的投入物。结果进一步表明，农民的教育（p <0.05），山羊数量（p  <0.01），收入（p <0.05）和合作社成员身份（p  <0.10）是影响毛山羊养殖场技术效率的统计学显着因素。应着重于为最佳投入使用而提供的教育和推广服务，并通过鼓励农民加入合作社采用新技术来提高农场的技术效率。