英文文献：Technical efficiency of Kansas arable crop farms: a local maximum likelihood approach-堪萨斯州耕地作物农场的技术效率:当地最大可能性方法
英文文献作者：Guesmi, Bouali,Serra, Teresa,Featherstone, Allen M.
英文文献摘要：
The present study uses local maximum likelihood (LML) methods recently proposed by Kumbhakar et al. (2007) to assess the technical efficiency of arable crop Kansas farms. LML techniques overcome the most relevant limitations associated to mainstream parametric stochastic frontier models. Results suggest that Kansas farms reach technical efficiency levels on the order of 90%. These results are compared with another flexible efficiency assessment alternative: the deterministic data envelopment analysis (DEA).

本研究使用Kumbhakar等人(2007)最近提出的局部最大似然(LML)方法来评估堪萨斯州农场可耕地作物的技术效率。LML技术克服了主流参数随机前沿模型最相关的限制。结果表明，堪萨斯州农场的技术效率水平达到90%左右。这些结果与另一种灵活的效率评估方法:确定性数据包络分析(DEA)进行了比较。