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Abstract  

This paper proposes a novel methodological framework for effectively measuring the production frontier performance (PFP) of macro-scale (regional or national) R&D activities themselves associated with two improved models: a non-radial data envelopment analysis (DEA) model and a nonradial Malmquist index. In particular, the framework can provide multidimensional information to benchmark various R&D efficiency indexes (i.e., technical efficiency, pure technical efficiency and scale efficiency) as well as the total factor R&D productivity change (determined by three components: “catch-up” of R&D efficiency, “frontier shift” of R&D technology as well as “exploitation” of R&D scale economics effect) at a comparable production frontier. It can be used to not only investigate the potential and sustainable capacity of innovation but also screen and finance R&D projects at the regional or national level. We have applied the framework to a province-level panel dataset on R&D activities of 30 selected Chinese provinces.

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. — Cooper , W. W. ( 1984 ): Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis . Management Science, 30 : 1078 – 1092 . Banker , R. D. — Morey

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Abstract  

This paper presents a methodology to aggregate multidimensional research output. Using a tailored version of the non-parametric Data Envelopment Analysis model, we account for the large heterogeneity in research output and the individual researcher preferences by endogenously weighting the various output dimensions. The approach offers three important advantages compared to the traditional approaches: (1) flexibility in the aggregation of different research outputs into an overall evaluation score; (2) a reduction of the impact of measurement errors and a-typical observations; and (3) a correction for the influences of a wide variety of factors outside the evaluated researcher’s control. As a result, research evaluations are more effective representations of actual research performance. The methodology is illustrated on a data set of all faculty members at a large polytechnic university in Belgium. The sample includes questionnaire items on the motivation and perception of the researcher. This allows us to explore whether motivation and background characteristics (such as age, gender, retention, etc.,) of the researchers explain variations in measured research performance.

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. Rousseau , S. Rousseau , R. 1997 Data envelopment analysis as a tool for constructing scientometric indicators Scientometrics 40 45 – 56

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( 2004 ). The Application of Spss Statistics in Education [M]. Beijing: Higher Education Press. Zbranek , P. ( 2013 ). Data envelopment analysis as a tool for evaluation of

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A magyar, német és belga felsőoktatási intézmények eredményessége

The Effectiveness of the Hungarian, German and Belgian Higher Institutions

Educatio
Authors:
Zsolt Tibor Kosztyán
,
Vivien Valéria Csányi
,
Zsuzsanna Banász
, and
András Telcs

Irodalom/References 1 Agasisti, T. & Dal Bianco, A. (2006) Data Envelopment Analysis to the Italian University System: Theoretical Issues and Policy

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). New life style determinants of women’s food shopping behavior . Journal of Marketing , 43 , 28 – 29 . Zbranek , P. ( 2013 ). Data envelopment analysis as a tool for

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planned. The nonparametric method of data envelopment analysis (DEA), developed by Charnes et al. ( 1978 ), which produces the most favorable performance measures for the units being evaluated, is a popular technique used in scientometric studies for this

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Risks of agricultural water management and opportunities to reduce them in V4 countries

Mezőgazdasági vízgazdálkodás kockázatai és azok csökkentési lehetőségei a V4-ek országaiban

Scientia et Securitas
Authors:
János Tamás
,
Attila Nagy
, and
Tamás Németh

Crops. Blackwell Publishing. 15 Lilienfeld, A., & Asmild, M. (2007) Estimation of excess water use in irrigated agriculture: a data envelopment

Open access

Introduction The development of nonparametric methods such as Data Envelopment Analysis (DEA), Free Disposal Hull (FDH) and others (e.g. Malmquist indices) have resulted in burgeoning literature on efficiency assessments of

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