Efficiency analysis of engineering colleges in India: Decomposition into parallel sub-processes systems

IF 6.2 2区经济学 Q1 ECONOMICS Socio-economic Planning Sciences Pub Date : 2023-10-01 DOI:10.1016/j.seps.2023.101708

Neelesh Kumar Mishra , Abhishek Chakraborty , Sanjeet Singh , Prabhat Ranjan

{"title":"Efficiency analysis of engineering colleges in India: Decomposition into parallel sub-processes systems","authors":"Neelesh Kumar Mishra , Abhishek Chakraborty , Sanjeet Singh , Prabhat Ranjan","doi":"10.1016/j.seps.2023.101708","DOIUrl":null,"url":null,"abstract":"<div><p>Analyzing engineering colleges in India with Data Envelopment Analysis (DEA) is the focus of this study. Engineering colleges pioneer in teaching and research, creating two sub-processes within engineering education. Thus, our study considers each engineering college to comprise two parallel non-homogenous sub-processes, such as teaching and researching. Unlike the conventional DEA models, where the system is treated as a black box, this work attempts to independently assess the impact of each parallel sub-process so that it is possible to identify specific changes in the respective processes to improve the overall efficiency. In particular, our study analyzed the efficiency of engineering colleges based on the National Institute Ranking Framework (NIRF) data. Further, the comparison of the efficiency scores from teaching and research indicates that, on average, the institutes are more efficient in teaching than researching. The current study helps policymakers set priorities and course corrections for performance improvement programs of engineering colleges in India.</p></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"89 ","pages":"Article 101708"},"PeriodicalIF":6.2000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Socio-economic Planning Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038012123002203","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}

引用次数: 0

Abstract

Analyzing engineering colleges in India with Data Envelopment Analysis (DEA) is the focus of this study. Engineering colleges pioneer in teaching and research, creating two sub-processes within engineering education. Thus, our study considers each engineering college to comprise two parallel non-homogenous sub-processes, such as teaching and researching. Unlike the conventional DEA models, where the system is treated as a black box, this work attempts to independently assess the impact of each parallel sub-process so that it is possible to identify specific changes in the respective processes to improve the overall efficiency. In particular, our study analyzed the efficiency of engineering colleges based on the National Institute Ranking Framework (NIRF) data. Further, the comparison of the efficiency scores from teaching and research indicates that, on average, the institutes are more efficient in teaching than researching. The current study helps policymakers set priorities and course corrections for performance improvement programs of engineering colleges in India.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

印度工程学院效率分析:分解成并行子流程系统

本文以数据包络分析法(DEA)对印度工程院校进行分析。工程学院在教学和研究方面处于领先地位，在工程教育中创造了两个子过程。因此，我们的研究认为每个工程学院都包含两个平行的非同质子过程，如教学和研究。与传统的DEA模型不同，在传统的DEA模型中，系统被视为一个黑箱，这项工作试图独立评估每个并行子过程的影响，以便有可能识别各自过程中的具体变化，以提高整体效率。特别是，我们的研究基于国家大学排名框架(NIRF)数据分析了工程学院的效率。此外，教学效率与科研效率的比较表明，平均而言，高校的教学效率高于科研效率。目前的研究有助于决策者为印度工程学院的绩效改进项目确定优先事项和方向修正。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Socio-economic Planning Sciences OPERATIONS RESEARCH & MANAGEMENT SCIENCE-

CiteScore

9.40

自引率

13.10%

发文量

294

审稿时长

58 days

期刊介绍： Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry. Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution. Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.