基于多期数据包络模型的广东省高校科研资源优化问题

Optimizing Research Resource Allocation in Guangdong Province's Higher Education Institutions through a Multi-Period Data Envelopment Analysis Model

摘要:

科研评价结果可为高校和科研管理部门提供决策参考，推动科研工作全面、均衡发展。为探究高校科研经费利用效率以及在集中决策模式下政府如何合理分配科研经费的问题，本文基于多期数据包络法（DEA），将决策单元的单个时期投入-产出视为并行系统，兼顾分配的公平性和高校可接受性，围绕交叉效率建立模型。对2017—2022年广东省71所高校科研数据进行评估，并对政府资助资源进行了再分配，研究发现：2017—2022年间高校科研效率在不断提升；科研经费在不同高校间的分配需要适当增减。

Abstract:

The results of scientific research evaluation can provide decision-making reference for universities and scientific research management departments, and promote the comprehensive and balanced development of scientific research. In order to explore the utilization efficiency of scientific research funding in universities and how the government rationally allocates scientific research funding under the centralized decision-making mode, this paper is based on the multi-period Data Envelopment Approach (DEA), which treats the inputs-outputs of the decision-making unit in a single period as a parallel system, takes into account the fairness of the allocation and the acceptability of universities, and builds a model around the crossover efficiency. Evaluating the research data of 71 universities in Guangdong Province from 2017 to 2022, and redistributing the government-funded resources, the study shows that: the research efficiency of universities is improving during 2017 to 2022; the distribution of research funds among different universities needs to be appropriately increased or decreased.