文章基本信息

标题：An empirical study on measuring technical performance of industry based on ISIC classification ,
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作者：Arezo Khosravani ; Younos Vakil Alroaia
期刊名称：Management Science Letters
印刷版ISSN：1923-9335
电子版ISSN：1923-9343
出版年度：2012
卷号：2
期号：5
页码：1571-1578
DOI：10.5267/j.msl.2012.05.010
出版社：Growing Science
摘要：Measuring technical efficiency of different industries plays an important role on making managerial decisions. In this paper, we present an empirical study to measure technical efficiencies of various industries based on two-digit ISIC classification method in Iran. The proposed model uses stochastic frontier analysis (SFA) and implements maximum likelihood estimation (MLE) to estimate the parameters. The proposed study gathers the necessary data from year 2001 to year 2008 and implemented two methods where the second method is an extended model by using energy as part of efficiency estimation. The results of the survey indicate that auto industry was the most productive sector followed by equipments and the paper industry was among inefficient sectors
关键词：Technical efficiency; Stochastic frontier analysis; SFA; Efficiency