This study measures and explains technical efficiency (TE), economic efficiency and allocative efficiency of 110 small-scale vegetable farmers practicing various irrigation technologies for increased productivity. We employed the two-stage approach to estimate efficiency scores under constant returns to scale (CRS) and variable returns to scale (VRS) specifications. First, using a linear programming method, efficiency scores of the irrigated vegetable farmers were measured using the data envelopment analysis approach. The results show that about 27.3 per cent of the farmers currently operate on the production possibility frontier and are technically efficient, while 3.6 per cent were found to be both economically and allocatively efficient. The mean TE score for CRS was 50.6 per cent, compared with 78.1 per cent under the VRS. A Tobit regression at the second-stage analysis revealed that gender, experience, health and credit utilization have significant effects on TE. These results are valuable for stakeholders interested in promoting efficiency in smallholder irrigated production.

JEL Classification: C14, C61, D24, D61, Q12

这项研究测量并解释了110位从事各种灌溉技术以提高生产率的小菜农的技术效率（TE），经济效率和分配效率。我们采用了两阶段方法来估算恒定规模收益（CRS）和可变规模收益（VRS）规格下的效率得分。首先，使用线性规划方法，使用数据包络分析方法测量灌溉蔬菜农户的效率得分。结果表明，目前约有27.3％的农民在生产可能性边界上经营，并且在技术上是有效的，而3.6％的农民在经济上和分配上都是有效的。CRS的平均TE得分为50.6％，而VRS的平均得分为78.1％。第二阶段的Tobit回归显示，性别，经验，健康状况和信用使用情况对TE有重要影响。这些结果对于有兴趣在小农灌溉生产中提高效率的利益相关者来说是有价值的。

JEL分类： C14，C61，D24，D61，Q12