Efficiency of universities and research-focused institutions worldwide: The introduction of a new input indicator reflecting institutional staff numbers

被引:6
作者
Bornmann, Lutz [1 ]
Gralka, Sabine [2 ]
Anegon, Felix de Moya [3 ]
Wohlrabe, Klaus [4 ]
机构
[1] Max Planck Gesell, Sci Policy & Strategy Dept, Adm Headquarters, Hofgartenstr 8, D-80539 Munich, Germany
[2] Tech Univ Dresden, CEPIE Ctr Publ & Int Econ, Munchner Pl 2-3, D-01069 Dresden, Germany
[3] CSIC, Inst Publ Goods & Policies IPP, Consejo Super Invest Cient, C Albasanz 26-28, Madrid 28037, Spain
[4] Ifo Inst, Poschingerstr 5, D-81679 Munich, Germany
关键词
Bibliometrics; Efficiency; Data Envelopment Analysis; Universities; Research-focused Institutions; World; Partial frontier analysis; NONPARAMETRIC FRONTIER ESTIMATION; SCORES; PRODUCTIVITY; PERFORMANCE;
D O I
10.1016/j.joi.2023.101400
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
One of the core indicators in the field of scientometrics is the number of papers published by a unit within a given period. However, such indicators can only be assessed properly by consider-ing the unit's available resources. When evaluating the efficiency of institutions worldwide, the problem concerning the availability of internationally standardized data arises. While on the out-put side consistent publication indicators are available, these data are frequently not available on the input side. We therefore introduce a new input indicator reflecting the number of unique authors mentioned on the institutions' papers. To demonstrate the new input indicator, we cal-culate efficiency scores for more than 3100 institutions from the higher education sector using output and the new indicator. It is the first time that an efficiency analysis is being performed for a multitude of institutions worldwide using a standardized input indicator. We present the results of two analyses: (1) Correlations of the new indicator with available staff numbers for institutions in single countries demonstrate that the numbers are closely related. (2) We utilize the standard data envelopment analysis (DEA) approach and variants. The DEA shows that the Harvard University is the best performing institution (in all years) followed by other institutions from Northern America or Europe. The institutional results correspond to what one knows from international university rankings. The results of both analyses reveal that the new input indicator based on co-authors is suitable for reflecting institutional staff numbers.
引用
收藏
页数:17
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