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首页> 外文期刊>Journal of informetrics >Are there any frontiers of research performance? Efficiency measurement of funded research projects with the Bayesian stochastic frontier analysis for count data
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Are there any frontiers of research performance? Efficiency measurement of funded research projects with the Bayesian stochastic frontier analysis for count data

机译：研究绩效有哪些前沿领域？贝叶斯随机前沿分析对计数数据的资助研究项目效率评估

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摘要

In recent years, scientometrics has devoted increasing attention to the question of measurement of productivity and efficiency in research. In econometrics, the question is usually examined using data envelopment analysis. Alternatively, in this paper we propose using a statistical approach, Bayesian stochastic frontier analysis (B-SFA), that explicitly considers the stochastic nature of (count) data. The Austrian Science Fund (FWF) made data available to us from their peer review process (ex-ante peer evaluation of proposals, final research product reports) and bibliometric data. The data analysis was done for a subsample of N = 1,046 FWF-funded projects (in Life Science and Medicine, Formal and Physical Sciences). For two outcome variables, a general latent research product dimension (CFACTOR) and the total number of publications (P), technical efficiency values (TE) were estimated for each project using the SFA production functions. The TE values for CFACTOR and P were on average 0.86 and 0.27, as compared with a maximum TE value of 1.0. With regard to CFACTOR, female PIs, younger PIs, and projects with longer durations have slightly higher TE than male PIs, older PIs, and projects with shorter durations. A simulation study showed the statistical behavior of the procedure under different sampling conditions. (C) 2017 The Authors. Published by Elsevier Ltd.
机译：近年来，科学计量学越来越重视研究中生产率和效率的度量问题。在计量经济学中，通常使用数据包络分析来研究该问题。另外，在本文中，我们建议使用统计方法贝叶斯随机前沿分析（B-SFA），该方法明确考虑了（计数）数据的随机性。奥地利科学基金（FWF）通过同行评审过程（提案的事前同行评估，最终研究产品报告）和文献计量数据向我们提供了数据。数据分析是由N = 1,046 FWF资助的项目（生命科学与医学，形式与物理科学）的子样本完成的。对于两个结果变量，使用SFA生产函数估算了每个项目的总体潜在研究产品规模（CFACTOR）和出版物总数（P），技术效率值（TE）。 CFACTOR和P的TE值平均为0.86和0.27，而最大TE值为1.0。关于CFACTOR，女性PI，较年轻的PI和持续时间较长的项目的TE略高于男性PI，较老的PI和持续时间较短的项目。仿真研究显示了该程序在不同采样条件下的统计行为。 （C）2017作者。由Elsevier Ltd.发布

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