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On research efficiency: A micro-analysis of Dutch university research in Economics and Business Management

  • Cherchye, L.
  • Abeele, P. Vanden

We argue that efficiency assessments of academic research should focus on micro-units of research production rather than on conventionally employed (aggregated) macro-units, and show that such a detailed analysis of research performance provides interesting insights. In addition, we propose a non-parametric methodology that is specially tailored for analyzing the productive efficiency of research: it starts from a specification of the managerial objectives of research activities while imposing minimal structure on the (typically unknown) production technology. We illustrate our points by assessing the productive efficiency of research in Economics and Business Management faculties at Dutch universities. Next to measuring productive efficiency, we look for specific patterns in efficiency distributions over universities, years and areas of specialization. In addition, we investigate the impact of external funding and of the size of research programs on academic research efficiency.

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Article provided by Elsevier in its journal Research Policy.

Volume (Year): 34 (2005)
Issue (Month): 4 (May)
Pages: 495-516

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Handle: RePEc:eee:respol:v:34:y:2005:i:4:p:495-516
Contact details of provider: Web page: http://www.elsevier.com/locate/respol

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  1. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
  2. Cordero, Rene, 1990. "The measurement of innovation performance in the firm: An overview," Research Policy, Elsevier, vol. 19(2), pages 185-192, April.
  3. Kalaitzidakis, Pantelis & Mamuneas, Theofanis P. & Savvides, Andreas & Stengos, Thanasis, 2004. "Research spillovers among European and North-American economics departments," Economics of Education Review, Elsevier, vol. 23(2), pages 191-202, April.
  4. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
  5. Korhonen, Pekka & Tainio, Risto & Wallenius, Jyrki, 2001. "Value efficiency analysis of academic research," European Journal of Operational Research, Elsevier, vol. 130(1), pages 121-132, April.
  6. Martin G. Kocher & Mikulas Luptacik & Matthias Sutter, 2001. "Measuring Productivity of Research in Economics. A Cross-Country Study Using DEA," Department of Economics Working Papers wuwp077, Vienna University of Economics and Business, Department of Economics.
  7. Varian, Hal R., 1990. "Goodness-of-fit in optimizing models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 125-140.
  8. Graves, Philip E & Marchand, James R & Thompson, Randal, 1982. "Economics Departmental Rankings: Research Incentives, Constraints, and Efficiency," American Economic Review, American Economic Association, vol. 72(5), pages 1131-41, December.
  9. John R. Hauser, 1998. "Research, Development, and Engineering Metrics," Management Science, INFORMS, vol. 44(12-Part-1), pages 1670-1689, December.
  10. Afriat, Sidney N, 1972. "Efficiency Estimation of Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 568-98, October.
  11. Rajiv D. Banker, 1993. "Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation," Management Science, INFORMS, vol. 39(10), pages 1265-1273, October.
  12. Peter Bogetoft, 1996. "DEA on Relaxed Convexity Assumptions," Management Science, INFORMS, vol. 42(3), pages 457-465, March.
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