基于宏观绩效角度的人文社会科学学术创新力测度研究
发布时间:2018-03-25 10:35
本文选题:宏观绩效 切入点:学术创新力 出处:《西南民族大学学报(人文社科版)》2017年05期
【摘要】:本文从宏观绩效角度对学术创新力进行测度,避免单纯用产出来衡量学术创新力,而是基于投入来分析产出的效率,反映创新主体真正的创新素质和力度。借助于数据包络分析法,结合创新系统中的多投入和多产出的特点,基于BCC模型构建了学术创新力宏观测度指标体系。以图书情报学科领域的10个院系机构为例,进行样本数据获取后并模型运行后,得出同一学科领域不同创新主体的投入产出绩效。通过综合效率、技术效率、规模效率来描述创新主体的创新效率,通过规模报酬、投入不足、投入冗余以及产出不足、产出冗余来分析创新效率所表现的状态。
[Abstract]:In this paper, the author measures the academic innovation ability from the macro performance angle, avoids measuring the academic innovation ability by the production, but analyzes the efficiency of the output based on the input. It reflects the real innovation quality and strength of the innovation subject. With the aid of data envelopment analysis, it combines the characteristics of multi-input and multi-output in the innovation system. Based on the BCC model, a macro index system of academic innovation ability is constructed. Taking 10 departments and departments in the field of library and information science as an example, the sample data are obtained and the model is run. Through comprehensive efficiency, technical efficiency, scale efficiency to describe innovation efficiency, through scale reward, input insufficiency, input redundancy and output insufficiency, we can get the input-output performance of different innovation agents in the same subject field, and describe the innovation efficiency by comprehensive efficiency, technical efficiency and scale efficiency. Output redundancy is used to analyze the state of innovation efficiency.
【作者单位】: 南京财经大学信息工程学院信息管理系;
【基金】:教育部人文社会科学项目“大数据环境下人文社会科学学术创新力多层次的研究”(2014SK670001) 江苏省高校“人文社会科学学术创新测度研究”(201393D890002)阶段性成果
【分类号】:C12
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本文编号:1662746
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