Performance Evaluation of Scientific Research in China's First-class Universities from the Perspective of Multi-agent Based on Malmquist index, SE-DEA and SFA Respectively
{"title":"Performance Evaluation of Scientific Research in China's First-class Universities from the Perspective of Multi-agent Based on Malmquist index, SE-DEA and SFA Respectively","authors":"Xueqian Zhang, Yalin Qian, QiangQiang Zhao","doi":"10.2991/ICOEME-19.2019.64","DOIUrl":null,"url":null,"abstract":"The research performance of 42 universities is measured based on the perspectives of society, universities and the country. From the perspective of society, the productivity of scientific research in first-class universities is declining, mainly due to the decline of technology; the universities with rising productivity and decline can be attributed to horizontal catch-up drive and vertical regression. From the perspective of colleges and universities, the overall efficiency of the first-class universities is effective; the comprehensive and effective colleges and universities can be called the insufficient inputdriven and the insufficient output constraints. From the perspective of the state, the technical efficiency of first-class universities is low and mainly caused by management factors; the universities with effective technical efficiency are driven by low management and the ineffective universities are comprehensively restricted by technical regression and management. It is suggested that in terms of project cooperation and resource allocation, society and the state should give priority to universities with high productivity, high efficiency and effective management; low-efficiency universities should pay attention to technological improvement, strengthen output orientation and improve management capabilities. Keywords—first-class university; research performance; ultra-efficient data envelopment analysis; Malmquist index; stochastic frontier analysis","PeriodicalId":133507,"journal":{"name":"Proceedings of the 2nd International Conference on Economy, Management and Entrepreneurship (ICOEME 2019)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Economy, Management and Entrepreneurship (ICOEME 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/ICOEME-19.2019.64","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
The research performance of 42 universities is measured based on the perspectives of society, universities and the country. From the perspective of society, the productivity of scientific research in first-class universities is declining, mainly due to the decline of technology; the universities with rising productivity and decline can be attributed to horizontal catch-up drive and vertical regression. From the perspective of colleges and universities, the overall efficiency of the first-class universities is effective; the comprehensive and effective colleges and universities can be called the insufficient inputdriven and the insufficient output constraints. From the perspective of the state, the technical efficiency of first-class universities is low and mainly caused by management factors; the universities with effective technical efficiency are driven by low management and the ineffective universities are comprehensively restricted by technical regression and management. It is suggested that in terms of project cooperation and resource allocation, society and the state should give priority to universities with high productivity, high efficiency and effective management; low-efficiency universities should pay attention to technological improvement, strengthen output orientation and improve management capabilities. Keywords—first-class university; research performance; ultra-efficient data envelopment analysis; Malmquist index; stochastic frontier analysis