Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends
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Khalil Md Nor | Muhamad Zameri Mat Saman | Abbas Mardani | Seyed Meysam Khoshnava | Dalia Streimikiene | Tomas Balezentis | D. Štreimikienė | T. Baležentis | A. Mardani | K. Nor | M. Saman | S. M. Khoshnava
[1] Peter Nijkamp,et al. Tracing high-sustainability performers among world cities - design and application of a multi-temporal data envelopment analysis , 2017 .
[2] Ya Zhou,et al. Analysis on provincial industrial energy efficiency and its influencing factors in China based on DEA-RS-FANN , 2018 .
[3] Edmundas Kazimieras Zavadskas,et al. VIKOR Technique: A Systematic Review of the State of the Art Literature on Methodologies and Applications , 2016 .
[4] Jaeho Shin,et al. The Effect of Sustainability as Innovation Objectives on Innovation Efficiency , 2018, Sustainability.
[5] Gento Mogi,et al. A fuzzy analytic hierarchy process (AHP)/data envelopment analysis (DEA) hybrid model for efficiently allocating energy R&D resources: In the case of energy technologies against high oil prices , 2013 .
[6] Mir Saman Pishvaee,et al. An integrated data envelopment analysis–mathematical programming approach to strategic biodiesel supply chain network design problem , 2017 .
[7] Jie Wu,et al. Evaluating the environmental efficiency of a two-stage system with undesired outputs by a DEA approach: An interest preference perspective , 2016, Eur. J. Oper. Res..
[8] Peng Zhou,et al. Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis , 2016 .
[9] Ning Zhang,et al. Chinese Airline Efficiency under CO2 Emissions and Flight Delays: A Stochastic Network DEA Model , 2017 .
[10] Wen-Shing Lee,et al. Benchmarking the performance of building energy management using data envelopment analysis , 2009 .
[11] Yue-Jun Zhang,et al. Evaluating the dynamic performance of energy portfolios: Empirical evidence from the DEA directional distance function , 2017, Eur. J. Oper. Res..
[12] Edmundas Kazimieras Zavadskas,et al. Using fuzzy multiple criteria decision making approaches for evaluating energy saving technologies and solutions in five star hotels: a new hierarchical framework , 2016 .
[13] Semida Silveira,et al. Analysis of energy use and CO2 emission in service industries: Evidence from Sweden , 2012 .
[14] Y. Hao,et al. The driving forces of the change in China's energy intensity: An empirical research using DEA-Malmquist and spatial panel estimations , 2017 .
[15] Joanicjusz Nazarko,et al. Measuring Productivity of Construction Industry in Europe with Data Envelopment Analysis , 2015 .
[16] MardaniAbbas,et al. Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014 , 2015 .
[17] Chunlu Liu,et al. Slacks-based data envelopment analysis for eco-efficiency assessment in the Australian construction industry , 2017 .
[18] Wen-Hsien Tsai,et al. Input-Output Analysis for Sustainability by Using DEA Method: A Comparison Study between European and Asian Countries , 2016 .
[19] Jin-Li Hu,et al. Total-factor Energy Efficiency for Regions in Taiwan , 2012 .
[20] Siqin Xiong,et al. Allocation of Energy Consumption among Provinces in China: A Weighted ZSG-DEA Model , 2017 .
[21] Dong-Shang Chang,et al. Incorporating the carbon footprint to measure industry context and energy consumption effect on environmental performance of business operations , 2015, Clean Technologies and Environmental Policy.
[22] Xu Wang,et al. Environmental Efficiency and Its Determinants for Manufacturing in China , 2016 .
[23] Mohammad Alauddin,et al. Input-Orientated Data Envelopment Analysis Framework for Measuring and Decomposing Economic, Environmental and Ecological Efficiency: An Application to OECD Agriculture , 2012 .
[24] Jie Wu,et al. Environmental efficiency evaluation based on data envelopment analysis: A review , 2012 .
[25] Yi-Ming Wei,et al. Evaluating energy efficiency for airlines: An application of Virtual Frontier Dynamic Slacks Based Measure , 2016 .
[26] Peter Grösche,et al. Measuring residential energy efficiency improvements with DEA , 2007 .
[27] Adnan Sözen,et al. Assessment of operational and environmental performance of the thermal power plants in Turkey by using data envelopment analysis , 2010 .
[28] Jiang Wu,et al. Identification of key energy efficiency drivers through global city benchmarking: A data driven approach , 2017 .
[29] Lu Gan,et al. Economic Feasibility Analysis for Renewable Energy Project Using an Integrated TFN–AHP–DEA Approach on the Basis of Consumer Utility , 2017 .
[30] Zhenshan Yang,et al. Efficiency evaluation of material and energy flows, a case study of Chinese cities , 2016 .
[31] Panos M. Pardalos,et al. Testing for Environmental Kuznets Curve in the EU Agricultural Sector through an Eco-(in)Efficiency Index , 2017 .
[32] Markus Lips,et al. On the link between economic and environmental performance of Swiss dairy farms of the alpine area , 2012, The International Journal of Life Cycle Assessment.
[33] Jie Wu,et al. An SBM-DEA model with parallel computing design for environmental efficiency evaluation in the big data context: a transportation system application , 2016, Annals of Operations Research.
[34] Dora Marinova,et al. Evaluation of the green technology innovation efficiency of China's manufacturing industries: DEA window analysis with ideal window width , 2018, Technol. Anal. Strateg. Manag..
[35] Zilla Sinuany-Stern,et al. Review of ranking methods in the data envelopment analysis context , 2002, Eur. J. Oper. Res..
[36] Malin Song,et al. Computational analysis of thermoelectric enterprises’ environmental efficiency and Bayesian estimation of influence factors , 2016 .
[37] Qunxiong Zhu,et al. Energy and environment efficiency analysis based on an improved environment DEA cross-model: Case study of complex chemical processes , 2017 .
[38] Yongming Han,et al. Carbon emission analysis and evaluation of industrial departments in China: An improved environmental DEA cross model based on information entropy. , 2018, Journal of environmental management.
[39] Jie Wu,et al. Measuring slacks-based efficiency for commercial banks in China by using a two-stage DEA model with undesirable output , 2015, Ann. Oper. Res..
[40] Jie Wu,et al. Energy and environmental efficiency analysis of China’s regional transportation sectors: a slack-based DEA approach , 2017 .
[41] Ching-Cheng Lu,et al. Applying the dynamic DEA model to evaluate the energy efficiency of OECD countries and China , 2017 .
[42] D. Štreimikienė,et al. The role of process innovation between firm-specific capabilities and sustainable innovation in SMEs: empirical evidence from Indonesia , 2018 .
[43] Rolf Färe,et al. Environmental Investment and Firm Performance: A Network Approach , 2015 .
[44] G. Pérez-López,et al. Temporal scale efficiency in DEA panel data estimations. An application to the solid waste disposal service in Spain , 2018 .
[45] Yong Zha,et al. Measuring regional efficiency of energy and carbon dioxide emissions in China: A chance constrained DEA approach , 2016, Comput. Oper. Res..
[46] Yi-Ming Wei,et al. China’s regional industrial energy efficiency and carbon emissions abatement costs , 2014 .
[47] Guijun Li,et al. China’s Input-Output Efficiency of Water-Energy-Food Nexus Based on the Data Envelopment Analysis (DEA) Model , 2016 .
[48] Edmundas Kazimieras Zavadskas,et al. Application of multiple criteria decision making techniques in tourism and hospitality industry: a systematic review , 2016 .
[49] Xueqing Wang,et al. The energy efficiency of China’s regional construction industry based on the three-stage DEA model and the DEA-DA model , 2016 .
[50] Kuan Yew Wong,et al. A Review on Data Envelopment Analysis (DEA) , 2010, 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation.
[51] Lawrence M. Seiford,et al. Data envelopment analysis (DEA) - Thirty years on , 2009, Eur. J. Oper. Res..
[52] So Young Sohn,et al. Comparison of technology efficiency for CO2 emissions reduction among European countries based on DEA with decomposed factors , 2017 .
[53] A. Vaninsky. Energy-environmental efficiency and optimal restructuring of the global economy , 2018, Energy.
[54] Giulia Romano,et al. Energy Efficiency Drivers in Wastewater Treatment Plants: A Double Bootstrap DEA Analysis , 2017 .
[55] Junjie Wu,et al. Comparative study on efficiency performance of listed coal mining companies in China and the US , 2009 .
[56] Chiang Kao,et al. Network data envelopment analysis: A review , 2014, Eur. J. Oper. Res..
[57] Qunxiong Zhu,et al. Energy and environmental efficiency evaluation based on a novel data envelopment analysis: An application in petrochemical industries , 2017 .
[58] Yun Long,et al. A Study on the Conduction Mechanism and Evaluation of the Comprehensive Efficiency of Photovoltaic Power Generation in China , 2017 .
[59] Dequn Zhou,et al. Energy efficiency and congestion assessment with energy mix effect: The case of APEC countries , 2017 .
[60] D. Zha,et al. Performance evaluation of Chinese photovoltaic companies with the input-oriented dynamic SBM model , 2016 .
[61] S. Mandal,et al. Energy use efficiency of Indian cement companies: a data envelopment analysis , 2011 .
[62] Jin-Li Hu,et al. Clean energy use and total-factor efficiencies: An international comparison , 2015 .
[63] Luis C. Dias,et al. Assessing the performance of biogas plants with multi-criteria and data envelopment analysis , 2009, Eur. J. Oper. Res..
[64] Adel Hatami-Marbini,et al. A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making , 2011, Eur. J. Oper. Res..
[65] Boqiang Lin,et al. Impact of energy conservation policies on the green productivity in China's manufacturing sector: Evidence from a three-stage DEA model , 2016 .
[66] John S. Liu,et al. Data envelopment analysis 1978-2010: A citation-based literature survey , 2013 .
[67] Tao Zhao,et al. Environmental assessment and investment strategies of provincial industrial sector in China — Analysis based on DEA model , 2016 .
[68] M. Omid,et al. Greenhouse strawberry production in Iran, efficient or inefficient in energy , 2012 .
[69] Boqiang Lin,et al. Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter? , 2015 .
[70] Wade D. Cook,et al. Measuring efficiency with products, by-products and parent-offspring relations: A conditional two-stage DEA model , 2017 .
[71] Lidia Angulo Meza,et al. A multiobjective DEA model to assess the eco-efficiency of agricultural practices within the CF + DEA method , 2019, Comput. Electron. Agric..
[72] Giovanni Zurlini,et al. A non-parametric bootstrap-data envelopment analysis approach for environmental policy planning and management of agricultural efficiency in EU countries , 2017 .
[73] Edmundas Kazimieras Zavadskas,et al. A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015 , 2017 .
[74] M. H. Alavidoost,et al. A novel fuzzy network SBM model for data envelopment analysis: A case study in Iran regional power companies , 2016 .
[75] Prasanta Kumar Dey,et al. Optimal design of the renewable energy map of Greece using weighted goal-programming and data envelopment analysis , 2016, Comput. Oper. Res..
[76] Khalil Md Nor,et al. Development of TOPSIS Method to Solve Complicated Decision-Making Problems - An Overview on Developments from 2000 to 2015 , 2016, Int. J. Inf. Technol. Decis. Mak..
[77] R. J. Kuo,et al. Integration of artificial neural network and MADA methods for green supplier selection , 2010 .
[78] Edmundas Kazimieras Zavadskas,et al. Sustainable and Renewable Energy: An Overview of the Application of Multiple Criteria Decision Making Techniques and Approaches , 2015 .
[79] S. Rafiee,et al. Improving energy use efficiency of canola production using data envelopment analysis (DEA) approach , 2011 .
[80] Wen-Shing Lee,et al. Benchmarking the energy efficiency of government buildings with data envelopment analysis , 2008 .
[81] Rahim Ebrahimi,et al. Investigation of CO2 emission reduction and improving energy use efficiency of button mushroom production using Data Envelopment Analysis , 2015 .
[82] Toshiyuki Sueyoshi,et al. Measuring scale efficiency and returns to scale on large commercial rooftop photovoltaic systems in California , 2017 .
[83] Wei Zhou,et al. A synthesized data envelopment analysis model and its application in resource efficiency evaluation and dynamic trend analysis , 2017 .
[84] Jingzheng Ren,et al. Determining the life cycle energy efficiency of six biofuel systems in China: a Data Envelopment Analysis. , 2014, Bioresource technology.
[85] Cheng Shao,et al. Ethylene cracking furnace TOPSIS energy efficiency evaluation method based on dynamic energy efficiency baselines , 2018 .
[86] Reza Farzipoor Saen,et al. A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context , 2015, Comput. Oper. Res..
[87] P. He,et al. Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach , 2013 .
[88] Q. Cui,et al. Airline energy efficiency measures considering carbon abatement: A new strategic framework , 2016 .
[89] X. Xue,et al. A Dynamic Analysis to Evaluate the Environmental Performance of Cities in China , 2018 .
[90] Boqiang Lin,et al. An application of a double bootstrap to investigate the effects of technological progress on total-factor energy consumption performance in China , 2017 .
[91] Endong Wang,et al. Benchmarking energy performance of residential buildings using two-stage multifactor data envelopment analysis with degree-day based simple-normalization approach , 2015 .
[92] Hana Moon,et al. Assessing energy efficiency and the related policy implications for energy-intensive firms in Korea: DEA approach , 2017 .
[93] Mehdi Toloo,et al. A non-radial directional distance method on classifying inputs and outputs in DEA: Application to banking industry , 2018, Expert Syst. Appl..
[94] Alireza Keyhani,et al. Joint Life Cycle Assessment and Data Envelopment Analysis for the benchmarking of environmental impacts in rice paddy production , 2015 .
[95] Duk Hee Lee,et al. Energy and environment efficiency of industry and its productivity effect , 2016 .
[96] Yi-Ming Wei,et al. Exploring the impacts of the EU ETS emission limits on airline performance via the Dynamic Environmental DEA approach , 2016 .
[97] William W. Cooper,et al. Data Envelopment Analysis: History, Models, and Interpretations , 2011 .
[98] Dr. Sam C. M. Hui,et al. Study of hotel energy performance using data envelopment analysis , 2013 .
[99] A. Makui,et al. Operational and non-operational performance evaluation of thermal power plants in Iran: A game theory approach , 2012 .
[100] Ke Wang,et al. A comparative analysis of China’s regional energy and emission performance: Which is the better way to deal with undesirable outputs? , 2012 .
[101] Jin-peng Liu,et al. Analysis, Evaluation and Optimization Strategy of China Thermal Power Enterprises’ Business Performance Considering Environmental Costs under the Background of Carbon Trading , 2018, Sustainability.
[102] Clara Inés Pardo Martínez,et al. Regional analysis across Colombian departments: a non-parametric study of energy use , 2016 .
[103] Edmundas Kazimieras Zavadskas,et al. Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014 , 2015, Expert Syst. Appl..
[104] Qunxiong Zhu,et al. Energy efficiency analysis method based on fuzzy DEA cross-model for ethylene production systems in chemical industry , 2015 .
[105] Kiyotaka Masuda. Energy Efficiency of Intensive Rice Production in Japan: An Application of Data Envelopment Analysis , 2018 .
[106] J. Nazarko,et al. Labour efficiency in construction industry in Europe based on frontier methods: data envelopment analysis and stochastic frontier analysis , 2017 .
[107] Peng Zhou,et al. A survey of data envelopment analysis in energy and environmental studies , 2008, Eur. J. Oper. Res..
[108] Jie Wu,et al. A comprehensive analysis of China's regional energy saving and emission reduction efficiency: From production and treatment perspectives , 2015 .
[109] Ali Emrouznejad,et al. A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016 , 2018 .
[110] Panos M. Pardalos,et al. Assess and prognosticate green house gas emissions from agricultural production of EU countries, by implementing, DEA Window analysis and artificial neural networks , 2017 .
[111] Zaiwu Gong,et al. DEA Efficiency of Energy Consumption in China’s Manufacturing Sectors with Environmental Regulation Policy Constraints , 2017 .
[112] Zhaohua Wang,et al. Energy and CO2 emissions efficiency of major economies: A non-parametric analysis , 2016 .
[113] Abraham Charnes,et al. Measuring the efficiency of decision making units , 1978 .
[114] M. Farrell. The Measurement of Productive Efficiency , 1957 .
[115] Reza Farzipoor Saen,et al. Forecasting efficiency of green suppliers by dynamic data envelopment analysis and artificial neural networks , 2017 .
[116] Hui Li,et al. Sustainability Assessment of Refining Enterprises Using a DEA-Based Model , 2017 .
[117] E. Jeon,et al. The Promotion of Environmental Management in the South Korean Health Sector—Case Study , 2018, Sustainability.
[118] Li Yang,et al. Energy saving in China: Analysis on the energy efficiency via bootstrap-DEA approach , 2013 .
[119] O. A. Olanrewaju,et al. Integrated IDA–ANN–DEA for assessment and optimization of energy consumption in industrial sectors , 2012 .
[120] Abbas Mardani,et al. Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014 , 2015 .
[121] Tser-yieth Chen,et al. A comparative study of energy utilization efficiency between Taiwan and China , 2010 .
[122] Qingyuan Zhu,et al. Efficiency evaluation of regional energy saving and emission reduction in China: A modified slacks-based measure approach , 2017 .
[123] J. Johnes. Data Envelopment Analysis and Its Application to the Measurement of Efficiency in Higher Education. , 2006 .
[124] Bai-Chen Xie,et al. Is there a difference between the energy and CO2 emission performance for China’s thermal power industry? A bootstrapped directional distance function approach , 2016 .
[125] S. Rafiee,et al. Optimization of energy required and greenhouse gas emissions analysis for orange producers using data envelopment analysis approach , 2014 .
[126] Zongyun Song,et al. Analysis of wind turbine micrositing efficiency: An application of two-subprocess data envelopment analysis method , 2018 .
[127] Qunxiong Zhu,et al. Energy efficiency analysis based on DEA integrated ISM: A case study for Chinese ethylene industries , 2015, Eng. Appl. Artif. Intell..
[128] Yih-Chearng Shiue,et al. A Comprehensive Evaluation of Sustainable Development Ability and Pathway for Major Cities in China , 2017 .
[129] Jie Wu,et al. Using a hybrid heterogeneous DEA method to benchmark China’s sustainable urbanization: an empirical study , 2018, Annals of Operations Research.
[130] Muhamad Zameri Mat Saman,et al. A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments , 2017, Appl. Soft Comput..
[131] Edmundas Kazimieras Zavadskas,et al. Application of Structural Equation Modeling (SEM) to Solve Environmental Sustainability Problems: A Comprehensive Review and Meta-Analysis , 2017 .
[132] Ali Emrouznejad,et al. Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years , 2008 .
[133] Feng Yang,et al. Resource and environment efficiency analysis of provinces in China: A DEA approach based on Shannon’s entropy , 2010 .
[134] Eric W. Welch,et al. Joint Environmental and Cost Efficiency Analysis of Electricity Generation , 2009 .
[135] Mara Madaleno,et al. The economic and environmental efficiency assessment in EU cross-country: Evidence from DEA and quantile regression approach , 2017 .
[136] Qingyou Yan,et al. Economic and Technical Efficiency of the Biomass Industry in China: A Network Data Envelopment Analysis Model Involving Externalities , 2017 .
[137] Weidong Chen,et al. Fossil energy saving and CO2 emissions reduction performance, and dynamic change in performance considering renewable energy input , 2017 .
[138] Qian-Ru Yang,et al. Total-Factor Energy Efficiency (TFEE) Evaluation on Thermal Power Industry with DEA, Malmquist and Multiple Regression Techniques , 2017 .
[139] Semih Önüt,et al. Energy efficiency assessment for the Antalya Region hotels in Turkey , 2006 .
[140] D. Štreimikienė,et al. A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency , 2017 .
[141] Mahmoud Omid,et al. Reduction of CO2 emission by improving energy use efficiency of greenhouse cucumber production using DEA approach , 2013 .
[142] Mehrbakhsh Nilashi,et al. Multi-criteria decision making approach in E-learning: A systematic review and classification , 2016, Appl. Soft Comput..
[143] A. Bryman,et al. The SAGE handbook of organizational research methods , 2009 .
[144] D. Tranfield,et al. Producing a systematic review. , 2009 .
[145] Kwok-wing Chau,et al. Energy consumption enhancement and environmental life cycle assessment in paddy production using optimization techniques , 2017 .
[146] Jin-Li Hu,et al. Efficient energy-saving targets for APEC economies , 2007 .
[147] Ângela Carrancho da Silva,et al. Performance assessment of Alternative Energy Resources in Brazilian power sector using Data Envelopment Analysis , 2012 .
[148] Kaoru Tone,et al. Dynamic DEA with network structure: A slacks-based measure approach , 2013 .
[149] T. Sueyoshi,et al. Social sustainability measured by intermediate approach for DEA environmental assessment: Chinese regional planning for economic development and pollution prevention , 2017 .
[150] Yongmei Bentley,et al. The debate on flexibility of environmental regulations, innovation capabilities and financial performance : a novel use of DEA , 2018 .
[151] Edmundas Kazimieras Zavadskas,et al. Application of data envelopment analysis models in supply chain management: a systematic review and meta-analysis , 2017, Annals of Operations Research.
[152] Rodney H. Green,et al. Efficiency and Cross-efficiency in DEA: Derivations, Meanings and Uses , 1994 .
[153] Maghsoud Amiri,et al. A dynamic network efficiency measurement of airports performance considering sustainable development concept: A fuzzy dynamic network-DEA approach , 2016 .
[154] A. Charnes,et al. Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .
[155] Jin-Li Hu,et al. Efficient saving targets of electricity and energy for regions in China , 2011 .
[156] Jie Wu,et al. Total-factor energy efficiency evaluation of Chinese industry by using two-stage DEA model with shared inputs , 2017, Ann. Oper. Res..
[157] Jun Bi,et al. Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs , 2010 .
[158] Tao Zhao,et al. Regional energy-environmental performance and investment strategy for China's non-ferrous metals industry: a non-radial DEA based analysis , 2017 .
[159] Liang Chen,et al. Environmental efficiency analysis of China's regional industry: a data envelopment analysis (DEA) based approach , 2017 .
[161] Yuanxin Liu,et al. The industrial performance of wind power industry in China , 2015 .
[162] Chao Feng,et al. A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis , 2015 .
[163] Edmundas Kazimieras Zavadskas,et al. An overview of renewable energy companies in stock exchange: Evidence from minimal spanning tree approach , 2017 .
[164] Qingxian An,et al. Energy efficiency measurement of Chinese Yangtze River Delta’s cities transportation: a DEA window analysis approach , 2018 .
[165] B. Rugani,et al. On the feasibility of using emergy analysis as a source of benchmarking criteria through data envelopment analysis: A case study for wind energy , 2014 .
[166] Shixiong Cheng,et al. Economic Growth Effect and Optimal Carbon Emissions under China’s Carbon Emissions Reduction Policy: A Time Substitution DEA Approach , 2018 .
[167] Aijun Li,et al. Social Sustainability Assessment across Provinces in China: An Analysis of Combining Intermediate Approach with Data Envelopment Analysis (DEA) Window Analysis , 2018 .