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

Xueqian Zhang, Yalin Qian, QiangQiang Zhao
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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
基于Malmquist指数、SE-DEA和SFA的多智能体视角下中国一流大学科研绩效评价
42所大学的研究表现是根据社会、大学和国家的角度来衡量的。从社会角度看,一流大学的科研生产力在下降,主要原因是技术水平的下降;高校生产力的上升和下降可以归结为横向追赶驱动和纵向回归驱动。从高校的角度看,一流大学的整体效率是有效的;全面有效的高校可以称为投入驱动不足和产出约束不足的高校。从国家层面看,一流大学技术效率低,主要由管理因素造成;技术效率高的大学受到低管理的驱动,低效的大学受到技术回归和管理的综合制约。建议在项目合作和资源配置方面,社会和国家应优先选择生产率高、效率高、管理有效的高校;低效率高校应注重技术改进,加强产出导向,提高管理能力。Keywords-first-class大学;研究性能;超高效的数据包络分析;Malmquist指数;随机前沿分析
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