Open Access
| Issue |
RAIRO-Oper. Res.
Volume 56, Number 6, November-December 2022
|
|
|---|---|---|
| Page(s) | 4113 - 4127 | |
| DOI | https://doi.org/10.1051/ro/2022181 | |
| Published online | 29 November 2022 | |
- S. Abolghasem, M. Toloo and S. Amézquita, Cross-efficiency evaluation in the presence of flexible measures with an application to healthcare systems. Health Care Manag. Sci. 22 (2019) 512–533. [CrossRef] [PubMed] [Google Scholar]
- A. Amirteimoori and A. Emrouznejad, Flexible measures in production process: A DEA-based approach. RAIRO:RO 45 (2011) 63–74. [CrossRef] [EDP Sciences] [Google Scholar]
- A. Amirteimoori, A. Emrouznejad and L. Khoshandam, Classifying flexible measures in data envelopment analysis: a slack-based measure. Measurement 46 (2013) 4100–4107. [CrossRef] [Google Scholar]
- C. Bento Vaz and A. Paula Ferreira, Efficiency and productivity assessment of wind farms. Oper. Res. (2015) 407–424. [Google Scholar]
- D.H. Bernstein, An updated assessment of technical efficiency and returns to scale for U.S. electric power plants. Energy Policy 147 (2020) 111896. [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]
- T. Cho and Y. Chen, The impact of financial technology on China’s banking industry: An application of the metafrontier cost Malmquist productivity index. North Am. J. Econ. Finance 57 (2021) 101414. [CrossRef] [Google Scholar]
- W.D. Cook and J. Zhu, Classifying inputs and outputs in data envelopment analysis. Eur. J. Oper. Res. 180 (2007) 692–699. [Google Scholar]
- Y. Cui, W. Xu, Y. Wang, J. Lin and L. Lu, Performance bounds of compressive classification under perturbation. Signal Process. 180 (2021) 107855. [CrossRef] [Google Scholar]
- R. Färe and S. Grosskopf, Malmquist indexes and Fisher ideal indexes. Econ. J. 102 (1992) 158–160. [CrossRef] [Google Scholar]
- R. Färe, S. Grosskopf and M. Norris, Productivity growth, technical progress and efficiency change in industrialized countries. Am. Econ. Rev. 84 (1994) 66–83. [Google Scholar]
- M.J. Farrell, The measurement of productive efficiency. J. Royal Stat. Soc. Ser. A (General) 120 (1957) 253–290. [CrossRef] [Google Scholar]
- K. Gangopadhyay and D. Mondal, Productivity relative sectoral prices, and total factor productivity: Theory and evidence. Econ. Model. 100 (2021) 105509. [CrossRef] [Google Scholar]
- M. Ghiyasi, Inverse DEA based on cost and revenue efficiency. Comput. Ind. Eng. 114 (2017) 258–263. [Google Scholar]
- A. Hatami-Marbini and A. Arabmaldar, Robustness of Farrell cost efficiency measurement under data perturbations: Evidence from a US manufacturing application. Eur. J. Oper. Res. 295 (2021) 604–620. [CrossRef] [Google Scholar]
- F. Hosseinzadeh Lotfi, G.R. Jahanshahloo, R. Shahverdi and M. Rostamy Malkhalife, Cost Efficiency and Cost Malmquist Productivity Index with Interval data. Int. Math. Forum 2 (2007) 441–453. [CrossRef] [MathSciNet] [Google Scholar]
- F. Hosseinzadeh Lotfi, A. Amirteimoori, Z. Moghaddas and M. Vaez-Ghasemi, Cost efficiency measurement with price uncertainty: a data envelopment analysis. Math. Sci. 14 (2020) 387–396. [CrossRef] [MathSciNet] [Google Scholar]
- A. Kneip, L. Simar and P.W. Wilson, Testing Hypotheses in Nonparametric Models of Production. J. Bus. Econ. Stat. 34 (2016) 435–456. [CrossRef] [Google Scholar]
- F. Li, Q. Zhu and L. Liang, Allocating a fixed cost based on a DEA-game cross efficiency approach. Expert Syst. Appl. 96 (2018) 196–207. [CrossRef] [Google Scholar]
- S. Malmquist, Index numbers and indifference surfaces. Trabajos de Estadistica 4 (1953) 209–242. [CrossRef] [Google Scholar]
- F. Matroud and Gh Tohidi, The proposed cost and profit models in presence of flexible measures. J. New Res. Math. 2 (2016) 43–50. [Google Scholar]
- B. Martin, Classifying flexible measures in data envelopment analysis: A slacks-based measure – A comment. Measurement 150 (2020) 107045. [CrossRef] [Google Scholar]
- L.P. Navas, F. Montes, S. Abolghasem, R.J. Salas, M. Toloo and R. Zarama, Colombian higher education institutions evaluation. Socio-Econ. Plan. Sci. 71 (2020) 100801. [CrossRef] [Google Scholar]
- J.C. Paradi and H. Zhu, A survey on bank branch efficiency and performance research with data envelopment analysis. Omega 41 (2013) 61–79. [Google Scholar]
- A. Qingxian, W. Ping, A. Emrouznejad and H. Junhuaa, Fixed cost allocation based on the principle of efficiency invariance in two-stage systems. Eur. J. Oper. Res. 283 (2020) 662–675. [CrossRef] [Google Scholar]
- X. Qu and Z. Wang, Evaluation of green total factor productivity of China’s tobacco manufacturing industry based on DEA-malmquist index method. E3S Web Conf. 261 (2021) 03027. [CrossRef] [EDP Sciences] [Google Scholar]
- S. Rungsuriyawiboon and H. Hockmann, Adjustment costs and efficiency in Polish agriculture: A dynamic efficiency approach. J. Product. Anal. 44 (2015) 51–68. [CrossRef] [Google Scholar]
- C.K. Subal and G.T. Mike, On the estimation of technical and allocative efficiency in a panel stochastic production frontier system model: Some new formulations and generalizations. Eur. J. Oper. Res. 287 (2020) 762–775. [CrossRef] [Google Scholar]
- M. Tavallaaee and M.R. Alirezaee, Applied decompositions of Malmquist, cost Malmquist, and allocation Malmquist indices by considering changes in cost efficiency and technology. J. Ind. Syst. Eng. 13 (2021) 41–60. [Google Scholar]
- E. Thanassoulis, R. Khanjani Shiraz and N. Maniadakis, A cost Malmquist productivity index capturing group performance. Eur. J. Oper. Res. 241 (2015) 796–805. [CrossRef] [Google Scholar]
- M. Toloo, Alternative solutions for classifying inputs and outputs in data envelopment analysis. Comput. Math. Appl. 63 (2012) 1104–1110. [CrossRef] [MathSciNet] [Google Scholar]
- M. Toloo, M. Allahyar and J. Hančlová, A non-radial directional distance method on classifying inputs and outputs in DEA: Application to banking industry. Expert Syst. Appl. 92 (2018) 495–506. [CrossRef] [Google Scholar]
- M. Toloo, B. Ebrahimi and Gh Amin, New data envelopment analysis models for classifying flexible measures: The role of non-Archimedean epsilon. Eur. J. Oper. Res. 292 (2021) 1037–1050. [CrossRef] [Google Scholar]
- B. Walheer, Disaggregation of the cost malmquist productivity index with joint and output-specific inputs. Omega 75 (2017) 1–12. [Google Scholar]
- P.W. Wilson, U.S. Banking in the Post-Crisis Era: New Results from New Methods, A chapter in Advances in Efficiency and Productivity Analysis, 2021. Springer (2021) 233–264. [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.