Skip to main content
Log in

Measurement of returns to scale in radial DEA models

  • Published:
Computational Mathematics and Mathematical Physics Aims and scope Submit manuscript

Abstract

A general approach is proposed in order to measure returns to scale and scale elasticity at projections points in the radial data envelopment analysis (DEA) models. In the first stage, a relative interior point belonging to the optimal face is found using a special, elaborated method. In previous work it was proved that any relative interior point of a face has the same returns to scale as any other interior point of this face. In the second stage, we propose to determine the returns to scale at the relative interior point found in the first stage.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. R. D. Banker and R. M. Thrall, “Estimation of returns to scale using data envelopment analysis,” Eur. J. Operat. Res. 62 (1), 74–84 (1992).

    Article  MATH  Google Scholar 

  2. R. D. Banker, A. Charnes, and W. W. Cooper, “Some models for estimating technical and scale inefficiency in data envelopment analysis,” Management Sci. 30 (9), 1078–1092 (1984).

    Article  MATH  Google Scholar 

  3. R. D. Banker, W. W. Cooper, L. M. Seiford, R. M. Thrall, J. Zhu, “Returns to scale in different DEA models,” Eur. J. Operat. Res. 154 (2), 345–362 (2004).

    Article  MathSciNet  MATH  Google Scholar 

  4. F. R. Førsund and L. Hjalmarsson, “Calculating scale elasticities in DEA models,” J. Operat. Res. Soc. 55 (10), 1023–1038 (2004).

    Article  MATH  Google Scholar 

  5. W. W. Cooper, L. M. Seiford, and K. Tone, Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software, 2nd ed. (Springer Science & Business Media, New York, 2007).

    MATH  Google Scholar 

  6. R. D. Banker, W. W. Cooper, L. M. Seiford, and J. Zhu, “Returns to scale in data envelopment analysis,” in Handbook on Data Envelopment Analysis, Ed. by W. W. Cooper, L. M. Seiford, and J. Zhu, 2nd ed. (Springer, New York, 2011), Chapter 2, pp. 41–70.

    Chapter  Google Scholar 

  7. V. E. Krivonozhko, O. B. Utkin, A. V. Volodin, I. A. Sablin, M. Patrin, “Constructions of economic functions and calculations of marginal rates in DEA using parametric optimization methods,” J. Operat. Res. Soc. 55 (10), 1049–1058 (2004).

    Article  MATH  Google Scholar 

  8. F. R. Førsund, L. Hjalmarsson, V. E. Krivonozhko, and O. B. Utkin, “Calculation of scale elasticities in DEA models: Direct and indirect approaches,” J. Productivity Anal. 28 (1), 45–56 (2007).

    Article  Google Scholar 

  9. F. R. Førsund, S. A. C. Kittelsen, and V. E. Krivonozhko, “Farrell revisited—visualizing properties of DEA production frontiers,” J. Operat. Res. Soc. 60 (11), 1535–1545 (2009).

    Article  MATH  Google Scholar 

  10. V. V. Podinovski, F. R. Førsund, and V. E. Krivonozhko, “A simple derivation of scale elasticity in data envelopment analysis,” Eur. J. Operat. Res. 197 (1), 149–153 (2009).

    Article  MathSciNet  MATH  Google Scholar 

  11. V. V. Podinovski and F. R. Førsund, “Differential characteristics of efficient frontiers in data envelopment analysis,” Operat. Res. 58 (6), 1743–1754 (2010).

    Article  MathSciNet  MATH  Google Scholar 

  12. K. B. Atici and V. V. Podinovski, “Mixed partial elasticities in constant returns-to-scale production technologies,” Eur. J. Operat. Res. 220 (1), 262–269 (2012).

    Article  MathSciNet  MATH  Google Scholar 

  13. T. Sueyoshi and K. Sekitani, “Measurement of returns to scale using a non-radial DEA model: A range-adjusted measure approach,” Eur. J. Operat. Res. 176, 1918–1946 (2007).

    Article  MATH  Google Scholar 

  14. T. Sueyoshi and K. Sekitani, “The measurement of returns to scale under a simultaneous occurrence of multiple solutions in a reference set and a supporting hyperplane,” Eur. J. Operat. Res. 181 (2), 549–570 (2007).

    Article  MathSciNet  MATH  Google Scholar 

  15. T. Sueyoshi and K. Sekitani, “An occurrence of multiple projections in DEA-based measurement of technical efficiency: Theoretical comparison among DEA models from desirable properties,” Eur. J. Operat. Res. 196 (2), 764–794 (2009).

    Article  MathSciNet  MATH  Google Scholar 

  16. V. E. Krivonozhko, F. R. Førsund, and A. V. Lychev, “A note on imposing strong complementary slackness conditions in DEA,” Eur. J. Operat. Res. 220 (3), 716–721 (2012).

    Article  MathSciNet  MATH  Google Scholar 

  17. V. E. Krivonozhko, F. R. Førsund, and A. V. Lychev, “Returns-to-scale properties in DEA models: The fundamental role of interior points,” J. Productivity Anal. 38 (2), 121–130 (2012).

    Article  MATH  Google Scholar 

  18. V. E. Krivonozhko, F. R. Førsund, and A. V. Lychev, “Measurement of returns to scale using non-radial DEA models,” Eur. J. Operat. Res. 232 (3), 664–670 (2014).

    Article  MathSciNet  MATH  Google Scholar 

  19. V. V. Podinovski, R. G. Chambers, K. B. Atici, and I. D. Deineko, “Marginal values and returns to scale for nonparametric production frontiers,” Operat. Res. 64 (1), 236–250 (2016).

    Article  MathSciNet  MATH  Google Scholar 

  20. G. B. Dantzig and M. N. Thapa, Linear Programming, 2: Theory and Extensions (Springer-Verlag, New York, 2003).

    MATH  Google Scholar 

  21. A. V. Volodin, V. E. Krivonozhko, I. A. Sablin, and O. B. Utkin, “Investigation of boundary points and the design of parametric optimization methods in data envelopment analysis,” Comput. Math. Math. Phys. 43 (4), 600–612 (2003).

    MathSciNet  MATH  Google Scholar 

  22. V. E. Berezkin, G. K. Kamenev, and A. V. Lotov, “Hybrid adaptive methods for approximating a nonconvex multidimensional Pareto frontier,” Comput. Math. Math. Phys. 46 (11), 1918–1931 (2006).

    Article  MathSciNet  Google Scholar 

  23. A. V. Lotov and I. I. Pospelova, Multiobjective Decision Making Problems (MAKS, Moscow, 2008) [in Russian].

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to V. E. Krivonozhko, A. V. Lychev or F. R. Førsund.

Additional information

Original Russian Text © V.E. Krivonozhko, A.V. Lychev, F.R. Førsund, 2017, published in Zhurnal Vychislitel’noi Matematiki i Matematicheskoi Fiziki, 2017, Vol. 57, No. 1, pp. 69–80.

The article was translated by the authors.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Krivonozhko, V.E., Lychev, A.V. & Førsund, F.R. Measurement of returns to scale in radial DEA models. Comput. Math. and Math. Phys. 57, 83–93 (2017). https://doi.org/10.1134/S0965542517010080

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0965542517010080

Keywords

Navigation