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A robust nonparametric approach to the analysis of scientific productivity

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  • Andrea Bonaccorsi
  • Cinzia Daraio

Abstract

Data on scientific productivity at institutes of the French INSERM and at biomedical research institutes of the Italian CNR for 1997 were analysed. Available data on human capital input and geographical agglomeration allowed the estimation and comparison of efficiency measures. Nonparametric envelopment techniques were used, and robust nonparametric techniques were applied in this work for the first time for evaluating scientific productivity. They are shown to be useful tools to compute scientific productivity indicators and make institutional comparative analyses. Taking into account a large number of methodological problems, a meaningful and rigorous indirect comparison is made possible. Several possible explanations of the observed differences in productivity are commented on. Copyright , Beech Tree Publishing.

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Bibliographic Info

Article provided by Oxford University Press in its journal Research Evaluation.

Volume (Year): 12 (2003)
Issue (Month): 1 (April)
Pages: 47-69

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Handle: RePEc:oup:rseval:v:12:y:2003:i:1:p:47-69

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Cited by:
  1. Daniel Chudnovsky & Andrés López & Martín Rossi & Diego Ubfal, 2006. "Evaluating a Program of Public Funding of Scientific Activity. A Case Study of FONCYT in Argentina," OVE Working Papers 1206, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
  2. Bronwyn H. Hall & Jacques Mairesse & Laure Turner, 2005. "Identifying Age, Cohort and Period Effects in Scientific Research Productivity: Discussion and Illustration Using Simulated and Actual Data on French Physicists," NBER Working Papers 11739, National Bureau of Economic Research, Inc.
  3. Gustavo Crespi & Aldo Geuna, 2005. "Modelling and Measuring Scientific Production: Results for a Panel of OECD Countries," SPRU Working Paper Series 133, SPRU - Science and Technology Policy Research, University of Sussex.
  4. Crespi, Gustavo A. & Geuna, Aldo, 2008. "An empirical study of scientific production: A cross country analysis, 1981-2002," Research Policy, Elsevier, vol. 37(4), pages 565-579, May.
  5. Chen Kaihua & Kou Mingting, 2014. "Staged efficiency and its determinants of regional innovation systems: a two-step analytical procedure," The Annals of Regional Science, Springer, vol. 52(2), pages 627-657, March.

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