Energy & Environment:

Li, F., A. Emrouznejad, G. Yang, Y. Li (20xx) Carbon emission abatement quota allocation in Chinese manufacturing industries: An integrated cooperative game data envelopment analysis approach, Journal of the Operational Research Society, Accepted (doi)
Emrouznejad A., G. L. Yang and G. R. Amin (20xx) A novel inverse DEA model with application to allocate the CO2 emissions quota to different regions in Chinese manufacturing industries,  Journal of the Operational Research Society, Accepted (doi)
Mahmoudi, R., A. Emrouznejad, H. Khosroshahi, M. Khashei, and P. Rajabi (2019), Performance evaluation of thermal power plants considering CO2 emission: A multistage PCA, Clustering, Game theory and Data Envelopment Analysis, International Journal of Cleaner Production, 23 (20): 641-650. (doi)
Li, Y., Shi, X., Emrouznejad, A., & Liang, L. (2018). Environmental performance evaluation of Chinese industrial systems: a network SBM approach, Journal of the Operational Research Society, 69 (6): 825-839. (doi)
Jin, M., X. Shi, A. Emrouznejad, F. Yang (2018), Determining the optimal carbon tax rate based on data envelopment analysis, International Journal of Cleaner Production. 172: 900-908. (doi)
Khoshroo, A., M. Izadikhah, A. Emrouznejad (2018) Improving energy efficiency considering reduction of CO2 emission of turnip production: A novel data envelopment analysis model with undesirable output approach, Journal of Cleaner Production, 187 (20): 605-615. (doi)
Khoshroo, A., A. Emrouznejad, A. Ghaffarizadeh, M. Kasraei and M. Omid (2018) Sensitivity analysis of energy inputs in crop production using artificial neural networks, Journal of Cleaner Production, 197 (1): 992-998. (doi)
Omrani, H., A. Alizadeh and A. Emrouznejad (2018) Finding the optimal combination of power plants alternatives: a multi response Taguchi-neural network using TOPSIS and fuzzy best-worst method, Journal of Cleaner Production, (203): 210-223. (doi)
Zarei, M., A. Azar, A. Emrouznejad (2018), A novel multilevel network slacks-based measure with an application in electric utility companies, Energy, 158: 1120-1129. (doi)
Arabi, B., S. M. Munisamy, A. Emrouznejad and A. Khoshroo (2017) Eco-Efficiency Measurement and Material Balance Principle: an Application in Power Plants Malmquist Luenberger Index, Annals of Operations Research, 255 (1-2): 221–239. (doi)
Emrouznejad, A., G. L. Yang (2016) CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index, Energy Policy 96: 397–410. (doi)
Arabi B., S. Munisamy, A. Emrouznejad, M. Toloo, M. S. Ghazizadeh (2016) Eco-Efficiency considering the issue of Heterogeneity among Power Plants, Energy 111 (15): 722–735. (doi)
Emrouznejad, A., ­G. L. Yang (2016) A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries, Energy 115 (1): 840-856. (doi)
Ignatius, J., M. Ghasemi, F. Zhang, A. Emrouznejad, A. Hatami-Marbini (2016) “Carbon Efficiency Evaluation: An Analytical Framework Using Fuzzy DEA”, European Journal of Operational Research 253(2): 428–440. (doi)
Arabi, B., S. Munisamy, A. Emrouznejad and F. Shadman (2014), Power Industry Restructuring and Eco-Efficiency Changes: A New Slacks-Based Model in Malmquist-Luenberger Index Measurement, Energy Policy, 68: 132–145. (doi)
Khoshroo, A., R. Mulwa, A. Emrouznejad and B. Arabi (2013), A Non-Parametric Data Envelopment Analysis Approach for Improving Energy Efficiency of Grape Production, Energy, 63 (15): 189–194. (doi)
Mulwa, R., A. Emrouznejad and E.A. Nuppenau (2012). An overview of Total Factor Productivity estimations adjusted for pollutant outputs: an application to sugarcane farming. International Journal of Environmental Technology and Management, 15(1): 1-15. (doi)
Rahimi I., A. Ahmadi, A. F. Zobaa, A. Emrouznejad, S. H. E. Abdel Aleem (2018) Big data optimization in electric power systems, in Zobaa et al. (eds) Classical and Recent Aspects of Power System Optimization, Elsevier (doi)