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Efficiency aggregation with enhanced Russell measures in data envelopment analysis

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Cited by:

  1. Premachandra, I.M. & Bhabra, Gurmeet Singh & Sueyoshi, Toshiyuki, 2009. "DEA as a tool for bankruptcy assessment: A comparative study with logistic regression technique," European Journal of Operational Research, Elsevier, vol. 193(2), pages 412-424, March.
  2. Valentin Zelenyuk & Valentyn Panchenko, 2024. "Generalized theory for measuring efficiency of individuals and groups," Annals of Operations Research, Springer, vol. 332(1), pages 781-806, January.
  3. Shwu-Huei Huang & Ming-Miin Yu & Ming-Shenq Hwang & Yu-Shan Wei & Ming-Huei Chen, 2017. "Efficiency of Tax Collection and Tax Management in Taiwan's Local Tax Offices," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 620-648, October.
  4. Yagi, Michiyuki & Managi, Shunsuke & Kaneko, Shinji, 2014. "Water Use and Wastewater Discharge of Industrial Sector in China," MPRA Paper 96425, University Library of Munich, Germany.
  5. Tsionas, Mike & Parmeter, Christopher F. & Zelenyuk, Valentin, 2023. "Bayesian Artificial Neural Networks for frontier efficiency analysis," Journal of Econometrics, Elsevier, vol. 236(2).
  6. Valentin Zelenyuk, 2024. "Aggregation in efficiency and productivity analysis: a brief review with new insights and justifications for constant returns to scale," Journal of Productivity Analysis, Springer, vol. 62(3), pages 321-334, December.
  7. Rolf Färe & Giannis Karagiannis, 2024. "The denominator rule with unit ratio difference," Journal of Productivity Analysis, Springer, vol. 61(2), pages 183-190, April.
  8. Wei, Chu & Ni, Jinlan & Du, Limin, 2012. "Regional allocation of carbon dioxide abatement in China," China Economic Review, Elsevier, vol. 23(3), pages 552-565.
  9. Glover, Fred & Sueyoshi, Toshiyuki, 2009. "Contributions of Professor William W. Cooper in Operations Research and Management Science," European Journal of Operational Research, Elsevier, vol. 197(1), pages 1-16, August.
  10. Po-Chi Chen, 2012. "Measurement of technical efficiency in farrow-to-finish swine production using multi-activity network data envelopment analysis: evidence from Taiwan," Journal of Productivity Analysis, Springer, vol. 38(3), pages 319-331, December.
  11. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
  12. Sueyoshi, Toshiyuki & Sekitani, Kazuyuki, 2009. "An occurrence of multiple projections in DEA-based measurement of technical efficiency: Theoretical comparison among DEA models from desirable properties," European Journal of Operational Research, Elsevier, vol. 196(2), pages 764-794, July.
  13. Halická, Margaréta & Trnovská, Mária, 2018. "The Russell measure model: Computational aspects, duality, and profit efficiency," European Journal of Operational Research, Elsevier, vol. 268(1), pages 386-397.
  14. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Hsu, Shih-Hsun & Managi, Shunsuke, 2015. "The enhanced Russell-based directional distance measure with undesirable outputs: Numerical example considering CO2 emissions," Omega, Elsevier, vol. 53(C), pages 30-40.
  15. Robert John Kolesar & Peter Bogetoft & Vanara Chea & Guido Erreygers & Sambo Pheakdey, 2022. "Advancing universal health coverage in the COVID-19 era: an assessment of public health services technical efficiency and applied cost allocation in Cambodia," Health Economics Review, Springer, vol. 12(1), pages 1-20, December.
  16. Valentin Zelenyuk, 2022. "Aggregation of Efficiency and Productivity: From Firm to Sector and Higher Levels," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 25, pages 1039-1079, Springer.
  17. W. Cooper & L. Seiford & K. Tone & J. Zhu, 2007. "Some models and measures for evaluating performances with DEA: past accomplishments and future prospects," Journal of Productivity Analysis, Springer, vol. 28(3), pages 151-163, December.
  18. Shiu-Wan Hung & Kai-Chu Yang & Wen-Min Lu & Minh-Hieu Le, 2025. "A chance-constrained network DEA approach for evaluating medical service and quality efficiency: a case study of Taiwan," Health Care Management Science, Springer, vol. 28(1), pages 99-118, March.
  19. Valentin Zelenyuk, 2018. "Some Mathematical and Historical Clarifications on Aggregation in Efficiency and Productivity Analysis and Connection to Economic Theory," CEPA Working Papers Series WP032018, School of Economics, University of Queensland, Australia.
  20. Lei, Ming & Yin, Zihan & Yu, Xiaowen & Deng, Shijie, 2017. "Carbon-weighted economic development performance and driving force analysis: Evidence from China," Energy Policy, Elsevier, vol. 111(C), pages 179-192.
  21. Halická, Margaréta & Trnovská, Mária, 2021. "A unified approach to non-radial graph models in data envelopment analysis: common features, geometry, and duality," European Journal of Operational Research, Elsevier, vol. 289(2), pages 611-627.
  22. Ali Homayoni & Reza Fallahnejad & Farhad Hosseinzadeh Lotfi, 2022. "Cross Malmquist Productivity Index in Data Envelopment Analysis," 4OR, Springer, vol. 20(4), pages 567-602, December.
  23. Rajasulochana, Subramania Raju & Chen, Po-Chi, 2019. "Efficiency and Productivity changes in the presence of undesirable outcomes in Emergency Obstetric and Newborn Care," Journal of Policy Modeling, Elsevier, vol. 41(5), pages 905-925.
  24. Azadi, Majid & Farzipoor Saen, Reza, 2013. "A combination of QFD and imprecise DEA with enhanced Russell graph measure: A case study in healthcare," Socio-Economic Planning Sciences, Elsevier, vol. 47(4), pages 281-291.
  25. Wanfang Shen & Guoliang Yang & Zhongbao Zhou & Wenbin Liu, 2019. "DEA models with Russell measures," Annals of Operations Research, Springer, vol. 278(1), pages 337-359, July.
  26. Chen, Kun & Zhu, Joe, 2020. "Additive slacks-based measure: Computational strategy and extension to network DEA," Omega, Elsevier, vol. 91(C).
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