Open Access
Issue
RAIRO-Oper. Res.
Volume 56, Number 2, March-April 2022
Page(s) 795 - 812
DOI https://doi.org/10.1051/ro/2022038
Published online 14 April 2022
  • M. Afsharian, Metafrontier efficiency analysis with convex and non-convex metatechnologies by stochastic nonparametric envelopment of data. Econ. Lett. 160 (2017) 1–3. [CrossRef] [Google Scholar]
  • J. Aparicio, M. Kapelko and J.L. Zofo, The measurement of environmental economic inefficiency with pollution-generating technologies. Res. Energy Econ. 62 (2020) 101185. [CrossRef] [Google Scholar]
  • R.D. Banker, Estimating most productive scale size using data envelopment analysis. Eur. J. Oper. Res. 17 (1984) 35–44. [Google Scholar]
  • R.D. Banker, A. Charnes and W.W. Cooper, Some models for estimating technical and scale inefficiences in data envelopment analysis. Manage. Sci. 30 (1984) 1078–1091. [CrossRef] [Google Scholar]
  • A. Charnes, W.W. Cooper and E. Rhodes, Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2 (1978) 429–444. [Google Scholar]
  • A. Dellnitz and W. Rödder, Returns to scale as an established scaling indicator: always a good advisor?. Jahrbücher für Nationalökonomie und Statistik 241 (2021) 173–186. [CrossRef] [Google Scholar]
  • A. Dellnitz, A. Kleine and W. Rödder, CCR or BCC: What if we are in the wrong model?. J. Bus. Econ. 88 (2018) 831–850. [Google Scholar]
  • D.K. Despotis, Improving the discriminating power of DEA: focus on globally efficient units. J. Oper. Res. Soc. 53 (2002) 314–323. [CrossRef] [Google Scholar]
  • B. Ebrahimi, M. Tavana, A. Kleine and A. Dellnitz, An epsilon-based data envelopment analysis approach for solving performance measurement problems with interval and ordinal dual-role factors. OR Spect. 43 (2021) 1103–1124. [CrossRef] [Google Scholar]
  • A. Emrouznejad and G. Yang, A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016. Soc.-Econ. Planning Sci. 61 (2018) 4–8. [CrossRef] [Google Scholar]
  • F.R. Førsund, On the calculation of the scale elasticity in DEA models. J. Prod. Anal. 7 (1996) 283–302. [CrossRef] [Google Scholar]
  • F.R. Førsund and L. Hjalmarsson, Calculating scale elasticity in DEA models. J. Oper. Res. Soc. 55 (2004) 1023–1038. [CrossRef] [Google Scholar]
  • H. Fukuyama, Returns to scale and scale elasticity in data envelopment analysis. Eur. J. Oper. Res. 125 (2000) 93–112. [CrossRef] [Google Scholar]
  • A. Hatami-Marbini, J. Pourmahmoud and E. Babazadeh, A modified super-efficiency in the range directional model. Comput. Ind. Eng. 120 (2018) 442–449. [CrossRef] [Google Scholar]
  • I.C. Henriques, V.A. Sobreiro, H. Kimura and E.B. Mariano, Efficiency in the Brazilian banking system using data envelopment analysis. Future Bus. J. 4 (2018) 157–178. [CrossRef] [Google Scholar]
  • A. Kleine, W. Rödder and A. Dellnitz, Returns to scale revisited – towards Cross-RTS. In: Nachhaltiges Entscheiden: Beiträge zum multiperspektivischen Performancemanagement von Wertschöpfungsprozessen, edited by H. Ahn, M. Clermont and R. Souren. Springer (2016) 85–404. [Google Scholar]
  • T.C. Koopmans, An analysis of production as an efficient combination of activities. In: Activity Analysis of Production and Allocation, edited by T.C. Koopmans. John-Wiley and Sons Inc., New York, London (1951) 33–97. [Google Scholar]
  • H.-S. Lee and J. Zhu, Super-efficiency infeasibility and zero data in DEA. Eur. J. Oper. Res. 216 (2012) 429–433. [CrossRef] [Google Scholar]
  • V. Podinovski, F.R. Førsund and V.E. Krivonozhko, A simple derivation of scale elasticity in data envelopment analysis. Eur. J. Oper. Res. 197 (2009) 149–153. [CrossRef] [Google Scholar]
  • A. Pop, The new banking sector. Towards reforming the too big to fail banks. Proc. Econ. Finance 23 (2015) 1485–1491. [CrossRef] [Google Scholar]
  • W. Rödder, A. Kleine and A. Dellnitz, Scaling production and improving efficiency in DEA: an interactive approach. J. Ind. Eng. Int. 14 (2018) 501–510. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.