Hongtao Sun, Dongxue Liu, Luoying Huang, Huiyao Pan
{"title":"Efficiency Evaluation of University Disciplines Based on Data Envelopment Analysis Method","authors":"Hongtao Sun, Dongxue Liu, Luoying Huang, Huiyao Pan","doi":"10.1109/ICNISC57059.2022.00073","DOIUrl":null,"url":null,"abstract":"Scientific and reasonable evaluation of the outcomes of discipline construction and promotion of the development of disciplines are essential in constructing “Double First-Class” plan universities in China. Evaluating the input-output efficiency of the established disciplines and rationally allocating human, financial, material, and other resources to improve the overall efficiency of discipline construction is urgent to be solved in universities. Based on the input and output data of disciplines in a university, this research uses the Data Envelopment Analysis (DEA) classic model and the super-efficiency model to evaluate the input-output efficiency of each discipline, analyzes the influencing factors for the disciplines in non-optimal state, and provides corresponding suggestions for scientific decision making to improve.","PeriodicalId":286467,"journal":{"name":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNISC57059.2022.00073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Scientific and reasonable evaluation of the outcomes of discipline construction and promotion of the development of disciplines are essential in constructing “Double First-Class” plan universities in China. Evaluating the input-output efficiency of the established disciplines and rationally allocating human, financial, material, and other resources to improve the overall efficiency of discipline construction is urgent to be solved in universities. Based on the input and output data of disciplines in a university, this research uses the Data Envelopment Analysis (DEA) classic model and the super-efficiency model to evaluate the input-output efficiency of each discipline, analyzes the influencing factors for the disciplines in non-optimal state, and provides corresponding suggestions for scientific decision making to improve.