- . امانی، ناصر و باقرزاده ولمی، هادی. (1397). ارزیابی کارایی شرکتهای برق منطقه‌ای ایران با تحلیل پوششی داده‌های شبکه‌ای: بر اساس تبدیل ساختارها به یک ساختار یکنواخت تصمیم‍گیری و تحقیق در عملیات، 3(3)، 249-280.
- پورعلیزاده، مژگان، امیرتیموری، علیرضا، و واعظ قاسمی، محسن. (1400). یک مدل DEA برای ارزیابی اجرای زنجیره تأمین پایدار با حضور خروجی‌های نامطلوب و شاخص‌های دو نقش ورودی و خروجی: کاربردی از صنعت برق. مطالعات مدیریت صنعتی، 19(62)، -139- 192.
- خسروی، محمدرضا، شاهرودی، کامبیز، امیرتیموری، علیرضا، و دل افروز، نرگس. (1401). طراحی مدل تحلیلی ـ ریاضی به منظور سنجش کارایی زنجیره تولید، انتقال و توزیع صنعت برق ایران: رویکرد تحلیل پوششی داده‌های شبکه‌ای با خروجی نامطلوب. مدیریت صنعتی، 14(2)، 220-249.
- فلاحی، محمدعلی واحمدی، وحیده. (1384). ارزیابی کارایی شرکتهای توزیع برق درایران. تحقیقات اقتصادی، (71)، 297-320.
- Amirteimoori, A., Despotis, D., Kordrostami, S., Azizi. H. (2016). Additive models for network data Envelopment analysis in the presence of shared resources. Transportation Research part D: Transport and Environment, 48, 411-424. https://doi.org/10.1016/j.trd.2015.12.016
- Amirteimoori, A., Kordrostami, S., & Sarparast, M. (2006). Modeling undesirable factors in data envelopment analysis. Applied Mathematics Computation, 180(2), 444-452. https://doi.org/10.1016/j.amc.2005.12.029
- Amirteimoori, A., Charles, V., Mehdizadeh, S. (2024). Stochastic data envelopment analysis in the presence of undesirable outputs: An application to the power industry. OR Spectrum. https://doi.org/10.1007/s00291-024-00794-8
- Amirteimoori, A., Kou, G. (2024). Technical efficiency and managerial ability in two-stage production processes with undesirable products: A case on Asian banks. Socio-Economic Planning Sciences (96), 102081. https://doi.org/10.1016/j.seps.2024.102081
- An, Y., Zhai, X., (2020). SVR-DEA model of carbon tax pricing for China's thermal power industry. Science of The Total Environment 734, 139438. https://doi.org/10.1016/j.scitotenv.2020.139438
- An, Q., Chen, s., Wang, P. (2025). Fixed-sum data envelopment analysis efficiency evaluation with network parallel structure under decentralized and centralized scenarios. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2024.125904
- Asmild, M., Paradi, J. C., & Reese, D. N. (2006). Theoretical perspectives of trade-off analysis using DEA. Omega, 34(4), 337-343. https://doi.org/10.1016/j.omega.2004.11.002
- Banker, R.D., Charnes, A., Cooper, W.W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science 30, 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078
- Charnes, A., Cooper, W.W., Rhodes, E., 1978. "Measuring the Efficiency of DecisionMaking Units. European Journal of Operational Research 2, 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
- Cooper, W.W., Park, K.S., Ciurana, JTP. (2000). Marginal rates and elasticities of substitution with additive models in DEA. Journal of Productivity Analysis, 13:105-23.https://doi.org/10.1023/A:1007896629828
- Dar, K. H., & Raina, S. H. (2024). Public healthcare efficiency in India: Estimates and determinants using two stage DEA approach. Evaluation and Program Planning, 106, 102472. https://doi.org/10.1016/j.evalprogplan.2024.102472
- Färe, R., Grosskopf., 2009. “A Comment on weak disposability in nonparametric production analysis”. American Journal of Agricultural Economic, 91,535-8. https://doi.org/10.1111/j.1467-8276.2008.01237.x
- Färe, R., Grosskopf, S. (2003). Non-parametric productivity analysis with undesirable outputs: Comment. American Journal of Agricultural Economics, 85, 1070-1074. https://www.jstor.org/stable/1244786 https://doi.org/10.1111/1467-8276.00510
- Faozen, F., Sandy, S. R. O. (2024). Performance management: A new approach in performance management. In Human Resource Management-An Update. IntechOpen. https:// doi.org/10.5772/intechopen.1002501
- Farrell, M.J. (1957), The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, Series A 120, 253-290. https://doi.org/10.2307/2343100
- Fukuyama, H., Weber, W. L., (2010). A slacks-based inefficiency measure for a two-stage system with bad outputs. Omega, 38, 398–409. https://doi.org/10.1016/j.omega.2009.10.006
- Gao, X., Ye, Y., Su, W., Chen, L., (2023). Assessing the comprehensive importance of power grid nodes based on DEA. International journal of critical infrastructure protection 42, 100614. https://doi.org/10.1016/j.ijcip.2023.100614
- Hailu, A., & Veeman TS. (2001). Non-parametric productivity analysis with undesirable outputs: An application to the Canadian pulp and paper industry. American Journal of Agricultural Economics, 83(3), 605-616. https://doi.org/10.1111/0002-9092.00181
- Hadi, A., Amirteimoori, A., Kordrostami, S., Mehrabian, S. (2024). An efficiency score unification method in data envelopment analysis using slack-based models with application in banking. Decision Analytic Journal, (14), 100541. https://doi.org/10.1016/j.dajour.2024.100541
- Huang, Z., Li, S.X., Rousseau, J.J. (1997). Determining rates of change in data envelopment analysis. Journal of the operational Research Society 48,591-593. https://doi.org/10.1057/palgrave.jors.2600393
- Jahani Sayyad Noveiri, M., Kordrostami, S. (2024). Efficiency Appraisal and Classification of Flexible Random Factors. In Analytical Decision Making and Data Envelopment Analysis: Advances and Challenges. Springer Nature Singapore, pp. 103-123. https:// doi.org/10.1007/978-981-97-6972-8-5
- Jahanshahloo, G., Hadi Vencheh, A., Foroughi, A., & Kazemi Matin, R. (2004). Inputs/outputs estimation in DEA when some factors are undesirable. Applied Mathematics and Computation, 156(1), 19-32. https://doi.org/10.1016/S0096-3003(03)00814-2
- Kao, C. (2009). Efficiency decomposition in network data envelopment analysis: A relational model. European Journal of Operational Research, 192, 949-962. https://doi.org/10.1016/j.ejor.2007.10.008
- Kao, Ch. (2014). Network data envelopment analysis: A review. European Journal of Operational Research, 239, 1-16. https://doi.org/10.1016/j.ejor.2014.02.039
- Kao, C., Hwang, S-N. (2008). Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan. European Journal of Operational Research, 185(1), 418-429. https://doi.org/10.1016/j.ejor.2006.11.041
- Kao, Ch. (2024). Maximum slacks-based measure of efficiency in network data envelopment analysis: A case of garment manufacturing, Omega. https://doi.org/10.1016/j.omega.2023.102989
- Khoshandam, L., Amirteimoori, A., Kazemi Matin, R., 2014. Marginal rates of Substitution in the Presence of non-discretionary factors: A data envelopment analysis approach. Measurement, 58,409-415. https://doi.org/10.1016/j.measurement.2014.09.019
- Khoshandam, L., Kazemi Matin, R., & Amirteimoori, A. (2015). Marginal rates of substitution in data envelopment analysis with undesirable outputs: A directional approach. Measurement, 68, 49-57. https://doi.org/10.1016/j.measurement.2015.02.020
- Kordrostami, S., Amirteimoori, A. (2005). Undesirable factors in multi-component performance measurement. Applied Mathematics and Computation, 171,721-729. https://doi.org/10.1016/j.amc.2005.01.081
- Kuosmanen, T., (2005). Weak disposability in nonparametric production analysis with undesirable outputs. American Journal of Agricultural Economics, 87, 1077-1082. https://doi.org/10.1111/j.1467-8276.2005.00788.x
- Li, L., Liu, J., Yang, J., Ma, X., Yu, H. (2024). Investigating the efficiency of container terminals through a network DEA cross efficiency approach. Research in Transportation Business & Management Volume 53, 101107. https://doi.org/10.1016/j.rtbm.2024.101107
- Liu, Y., Mai, L., Huang, F., Zeng, Z. (2024). Regional healthcare resource allocation and decision-making: Evaluating the effectiveness of the three-stage super-efficiency DEA model. Hilyon, Volume 10, Issue 23e40312. https://doi.org/10.1016/j.heliyon.2024.e40312
- Lozano, S., Gutiérrez, E., & Moreno, P. (2013). Network DEA approach to airports performance assessment considering undesirable outputs. Applied Mathematical Modelling, 37(4), 1665-1676. https://doi.org/10.1016/j.apm.2012.04.041
- Maghbouli, M., Amirteimoori, A., & Kordrostami, S. (2014). Two-stage network structures with undesirable outputs: A DEA based approach. Measurement, 48, 109-118. https://doi.org/10.1016/j.measurement.2013.10.032
- Mahboubi, M., Kordrostami, S., Amirteimoori, A., Chane kanafi, A. (2021). Estimating Marginal Rate of Substitution in two-stage processes with undesirable factors. Iranian Journal of Management Studies (IJMS), 14(2): 419-436. 10.22059/ijms.2020.298251.673968
- Meng, M., Pang, T., Li, X., (2023). Assessing the total factor productivity of China’s thermal power industry using a network DEA approach with cross-efficiency. Energy Reports Pages 5196-5205. https://doi.org/10.1016/j.egyr.2023.04.050
- Omrani, H., Yang, Z., Karbasian, A., Teplova, T., (2023). Combination of top-down and bottom-up DEA models using PCA: A two-stage network DEA with shared input and undesirable output for evaluation of the road transport sector. Socio-Economic Planning Sciences 89, 101706. https://doi.org/10.1016/j.seps.2023.101706
- Rosen, D., Schaffnit, C., Paradi, JC. (1998). Marginal rates and two- dimensional level curves in DEA. Journal of Productivity Analysis. 9:205-32. https://doi.org/10.1023/A:1018382904489
- Seiford, L.M., & Zhu, J. (2002). Modeling undesirable factors in efficiency evaluation. European Journal of Operational Research, 142(1), 16-20. https://doi.org/10.1016/S0377-2217(01)00293-4
- Shephard, R.W. 1970. Theory of cost Production Function. Princeton University Press.
- Shi, X., Emrouznejad, A., Yu, w. (2021). Overall efficiency of operational process with undesirable outputs containing both series and parallel processes: A SBM network DEA model. Expert Systems with Applications 178, 115062. https://doi.org/10.1016/j.eswa.2021.115062
- Sueyoshi, T., Goto, M. (2012). Returns to Scale, damages to Scale, marginal rate of transformation and rate of Substitution in DEA environmental assessment. Energy Econ 34,905-917. https://doi.org/10.1016/j.eneco.2012.04.003
- Wei, X., Zhao, R., (2024). Evaluation and spatial convergence of carbon emission reduction efficiency in China's power industry: Based on a three-stage DEA model with game cross-efficiency. Science of The Total Environment 906, 167851. https://doi.org/10.1016/j.scitotenv.2023.167851
- Yang, Z., Omrani, H., Imanira, R. (2024). Assessing airline efficiency with a network DEA model: A Z-number approach with shared resources, undesirable outputs, and negative data. Socio-Economic Planning Sciences. https://doi.org/10.1016/j.seps.2024.102044
- Yeh, L.T. (2025). Measuring the effects of sediment variation and evaporation loss on the overall operational efficiency of hydropower systems: A robust network data envelopment analysis model, Renewable Energy. https://doi.org/10.1016/j.renene.2025.122488
- Zhang, Ch., Wang, Z., Su, W., Dalia, S., (2024). Differentiated power rationing or seasonal power price? Optimal power allocation solution for Chinese industrial enterprises based on the CSW-DEA model. Applied Energy 353, 122150. https://doi.org/10.1016/j.apenergy.2023.122150
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