Assessing the effect of high performance computing capabilities on academic research output

Amy Apon (), Linh Ngo (), Michael Payne () and Paul Wilson

Empirical Economics, 2015, vol. 48, issue 1, 283-312

Abstract: This paper uses nonparametric methods and some new results on hypothesis testing with nonparametric efficiency estimators and applies these to analyze the effect of locally available high performance computing (HPC) resources on universities’ efficiency in producing research and other outputs. We find that locally available HPC resources enhance the technical efficiency of research output in Chemistry, Civil Engineering, Physics, and History, but not in Computer Science, Economics, nor English; we find mixed results for Biology. Our research results provide a critical first step in a quantitative economic model for investments in HPC. Copyright Springer-Verlag Berlin Heidelberg 2015

Keywords: Efficiency; Frontier; Nonparametric; Inference; C12; C14; C44; H52 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s00181-014-0833-7

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