...
首页> 外文期刊>Indian Journal of Science and Technology >Efficiency analysis of select state universities and colleges in Southern Philippines using data envelopment analysis
【24h】

Efficiency analysis of select state universities and colleges in Southern Philippines using data envelopment analysis

机译:利用数据包络分析,菲律宾南部选择国家大学与高校的效率分析

获取原文
           

摘要

Objectives: This study aims to evaluate the relative efficiency of select state universities and colleges (SUCs) in Southern Philippines using the inputoriented constant returns to scale (CRS) model and input-oriented variables returns to scale (VRS) model of data envelopment analysis (DEA). Methods: The input-oriented CRS and VRS model of the DEA is applied to analyze efficiency of selected state universities and colleges in Southern Philippines using four inputs (namely, Number of faculty members, personnel services and maintenance and other operating expenses (PS MOOE), estimated cost per student, and tuition fee) and three outputs (namely, number of students enrolled, PRC rating, and number of graduates) as parameters. DEA works by comparing each decision-making unit (DMU) and classifies them as either efficient or less efficient. It also provides information on how these less efficient DMUs can be improved. Findings: Results of the study show how each unit perform when compared to other units. It showed that among the 26 SUCs considered in this study, only ten (10) SUCs are identified efficient and the remaining sixteen (16) SUCs are less efficient under the input-oriented CRS model. On the other hand, only thirteen (13) SUCs are identified efficient while the remaining thirteen (13) are less efficient under the input-oriented VRS model. These difference in the results from the two DEA models used may be due to the fact that CRS tends to lower the efficiency score while the VRS tends to raise the efficiency score. Application: DEA provides insights on how the less efficient SUCs can be improved by adopting the efficiency reference set (ERS) weights of the identified efficient SUCs against the less efficient SUCs in order to improve efficiency. In this way, results of this study provide insights on how the less efficient SUCs in Southern Mindanao can be helped for them to become efficient units.
机译:目的:本研究旨在评估菲律宾南部南部南部的学院(SUCS)的相对效率,使用磅秤(CRS)模型和输入导向的变量返回到数据包络分析的比例(VRS)模型(数据包络分析)。方法:使用四个投入(即,教师数量,人员服务和维护等营业费用,应用了DEA的输入型CRS和VRS模型,分析了菲律宾南部所选国家大学和学院的效率(即人员服务和维护等营业费用(PS Mooe) ,每名学生的估计成本和学费)和三个产出(即注册,中国学生的数量,毕业生和毕业人数)作为参数。 DEA通过比较每个决策单位(DMU)并将它们分类为有效或更少的效率。它还提供有关如何提高这些较低的DMU的信息。结果:研究结果显示,与其他单位相比,每个单位如何执行。目前据认为,在本研究中考虑的26个成功中,只确定了十(10)个Sucs有效,并且在输入导向的CRS模型下,剩余的十六(16)件Suc在较低的效率下。另一方面,在剩余的十三(13)在取向的VRS模型下剩余的十三(13)效率较低,仅识别13(13)个SUC。所使用的两个DEA模型的结果中的这些差异可能是由于CRS倾向于降低效率得分,而VRS倾向于提高效率得分。应用:DEA通过采用所识别的高效成功的效率参考集(ERS)对较低的效率,以提高效率,提供有关如何改进效率的效率参考集(ERS)的洞察。通过这种方式,本研究的结果提供了关于如何帮助他们成为有效单位的思维思慕义的效率较低的成功的见解。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号