{"id":5914,"date":"2023-04-30T21:08:30","date_gmt":"2023-04-30T21:08:30","guid":{"rendered":"http:\/\/emrouznejad.com\/ali\/?page_id=5914"},"modified":"2023-05-08T05:54:59","modified_gmt":"2023-05-08T05:54:59","slug":"dea-netzero-review","status":"publish","type":"page","link":"https:\/\/emrouznejad.com\/ali\/survey\/dea-netzero-review\/","title":{"rendered":"Eco-efficiency considering NetZero and Data Envelopment Analysis: A critical literature review"},"content":{"rendered":"<table>\n<tbody>\n<tr>\n<td width=\"553\"><strong><u>Emrouznejad, A.<\/u><\/strong>, M. Marra, G. L. Yang, M. Michali (2023) Eco-efficiency considering NetZero and Data Envelopment Analysis: A critical literature review,\u00a0<em>IMA Journal of Management Mathematics,<\/em> <a href=\"https:\/\/doi.org\/10.1093\/imaman\/dpad002\">https:\/\/doi.org\/10.1093\/imaman\/dpad002<\/a><em>. <\/em><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div class=\"_df_book df-lite\" id=\"df_5916\"  _slug=\"dea-netzero-2023\" data-title=\"dea-netzero-review-2023\" wpoptions=\"true\" thumbtype=\"\" ><\/div><script class=\"df-shortcode-script\" nowprocket type=\"application\/javascript\">window.option_df_5916 = {\"outline\":[],\"autoEnableOutline\":\"false\",\"autoEnableThumbnail\":\"false\",\"overwritePDFOutline\":\"false\",\"direction\":\"1\",\"pageSize\":\"0\",\"source\":\"http:\\\/\\\/emrouznejad.com\\\/ali\\\/wp-content\\\/uploads\\\/sites\\\/3\\\/2023\\\/04\\\/IMAMAN-EcoEfficiency-Web.pdf\",\"wpOptions\":\"true\"}; if(window.DFLIP && window.DFLIP.parseBooks){window.DFLIP.parseBooks();}<\/script>\n<p>&nbsp;<\/p>\n<h3><span style=\"color: #333300;\">List of papers on Data Envelopment Analysis for CO2 reduction (NetZero)<\/span><\/h3>\n<ul>\n<li style=\"font-weight: 400;\">Ali, A., &amp; Seiford, L.M. (1990).\u00a0Translation invariance in data envelopment analysis. Operations Research Letter 10, 403-405.<\/li>\n<li style=\"font-weight: 400;\">Alizadeh, R., Behiragh, R., Soltanisehat, L., Soltanzadeh, E., Lund, P., (2020). Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach. Energy Economics, 91.<\/li>\n<li style=\"font-weight: 400;\">Allen, R., Athanassopoulos, A., Dyson, R. G., &amp; Thanassoulis, E. (1997). Weights restrictions and value judgements in Data Envelopment Analysis: Evolution, development and future directions. Annals of Operations Research 73(1), 13-34.<\/li>\n<li style=\"font-weight: 400;\">An, Q., Wu, Q., Li, J., Xiong, B., Chen, X., (2019) Environmental efficiency evaluation for Xiangjiang River basin cities based on an improved SBM model and Global Malmquist index. Energy Economics, 81, 95-103.<\/li>\n<li style=\"font-weight: 400;\">Aparicio, J., Pastor, J.T., &amp; Zofio, J. L. (2013). On the inconsistency of the Malmquist\u2013Luenberger index. European Journal of Operational Research 229(3), 738-742.<\/li>\n<li style=\"font-weight: 400;\">Arabi, B. Munisamy S., &amp; Emrouznejad A. (2015).\u00a0A new Slacks-Based Measure of Malmquist-Luenberger Index in the Presence of Undesirable Outputs. OMEGA, 51, 29-37.<\/li>\n<li style=\"font-weight: 400;\">Arabi, B., Munisamy, S., Emrouznejad, A., &amp; Shadman, F. (2014). Power industry restructuring and eco-efficiency changes: A new slacks-based model in Malmquist-Luenberger Index measurement. Energy Policy, 68, 132-145.<\/li>\n<li style=\"font-weight: 400;\">Azadi, M., R, Kazemi Matin, A. Emrouznejad, and W. Ho (2022) Evaluating Sustainably Resilient Supply Chains: A Stochastic Double Frontier Analytic Model Considering NetZero. Annals of Operations Research, https:\/\/doi.org\/10.1007\/s10479-022-04813-1.<\/li>\n<li style=\"font-weight: 400;\">Bampatsou, C., Halkos, G., &amp; Beneki, C. (2021).\u00a0Energy and material flow management to improve EU productivity. Economic Analysis and Policy, 70, 83-93.<\/li>\n<li style=\"font-weight: 400;\">Banker, R. D. (1984). Estimating the Most Productive Scale Size using Data Envelopment Analysis. European Journal of Operational Research, 17(1), 35-44.<\/li>\n<li style=\"font-weight: 400;\">Banker, R. D., Charnes, A, &amp; Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078-1092.<\/li>\n<li style=\"font-weight: 400;\">Banker, R. D., &amp; Maindiratta, A. (1986). Piecewise Loglinear Estimation of Efficient Production Surfaces. Management Science, 32(1), 126-135.<\/li>\n<li style=\"font-weight: 400;\">Banker, R. D., &amp; Morey, R. C. (1986a). Efficiency analysis for exogenously fixed inputs and outputs. Operations Research, 34(4), 513-521.<\/li>\n<li style=\"font-weight: 400;\">Banker, R. D., &amp; Morey, R. C. (1986b). The use of categorical variables in data envelopment analysis. Management Science, 32(12), 1613-1627.<\/li>\n<li style=\"font-weight: 400;\">Bolin, B., D\u00f6\u00f6s, B.R., J\u00e4ger, J., &amp; Warrick, R.A. (editors) (1986). The greenhouse effect, climatic change, and ecosystems. SCOPE 29. Chichester: John Wiley.<\/li>\n<li style=\"font-weight: 400;\">Boyd, G. A, Tolley, G., &amp; Pang, J. (2002). Plant level productivity, efficiency, and environmental performance of the container glass industry. Environmental Resource Economics, 23(1), 29\u201343.<\/li>\n<li style=\"font-weight: 400;\">Boussemart, J.P, Leleu, H., Shen, Z., (2017) Worldwide carbon shadow prices during 1990\u20132011. Energy Policy, 288-296.<\/li>\n<li style=\"font-weight: 400;\">Calero-Medina, C., &amp; Noyons, E.C.M. (2008). Combining mapping and citation network analysis for a better understanding of the scientific development: The case of the absorptive capacity field. Journal of Informetrics, 2(4), 272\u2013279.<\/li>\n<li style=\"font-weight: 400;\">Caves, D. W., Christensen L. R. &amp; Diewert, W. E. (1982). The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity. Econometrica, 50 (6), 1393\u20131414.<\/li>\n<li style=\"font-weight: 400;\">Chambers, R., Chung, Y., &amp; F\u00e4re, R. (1996).\u00a0Benefit and distance functions. Journal of Economic Theory 70, 407\u2013419.<\/li>\n<li style=\"font-weight: 400;\">Chang, T. P., &amp; Hu J. L. (2010).\u00a0Total-factor energy productivity growth, technical progress, and efficiency change: An empirical study of China. Applied Energy, 87(10), 3262-3270.<\/li>\n<li style=\"font-weight: 400;\">Charnes, A., Cooper, W. W., &amp; Rhodes, E. L. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444.<\/li>\n<li style=\"font-weight: 400;\">Charnes, A., Cooper, W. W., Wei, Q. L., &amp; Huang, Z. M. (1989).\u00a0Cone ratio Data Envelopment Analysis and multi-objective programming. International Journal of Systems Science, 20(7), 1099-1118.<\/li>\n<li style=\"font-weight: 400;\">Charnes, A., Cooper, W. W., Wei, Q. L., &amp; Huang, Z. M. (1990).\u00a0Fundamental theorems of non-dominated solutions associated with cones in normed linear spaces. Journal of Mathematical Analysis and Applications, 150(1), 54-78.<\/li>\n<li style=\"font-weight: 400;\">Chen, Y., Liang, L., &amp; Zhu, J. (2009).\u00a0Equivalence in two-stage DEA approaches. European Journal of Operational Research, 193(2), 600-604.<\/li>\n<li style=\"font-weight: 400;\">Chen, P. C., Yu, M. M., Chang, C. C., Hsu, S. H., &amp; Managi, S. (2015).\u00a0The enhanced Russell-based directional distance measure with undesirable outputs: Numerical example considering CO2 emissions.\u00a0Omega, 53(1), 30-40.<\/li>\n<li style=\"font-weight: 400;\">Chiu, C. R., Liou, J. L., Wu, P. I., Fang, C. L., (2012).\u00a0Decomposition of the environmental inefficiency of the meta-frontier with undesirable output. Energy Economics, 34(5), 1392\u20131399.<\/li>\n<li style=\"font-weight: 400;\">Chung, Y.H., F\u00e4re, R., &amp; Grosskopf, S., (1997).\u00a0Productivity and undesirable outputs: A directional distance function approach. Journal of Environmental Management, 51(3), 229\u2013240.<\/li>\n<li style=\"font-weight: 400;\">Cook, W. D., Kress, M., &amp; Seiford, L. M. (1993). On the use of ordinal data in data envelopment analysis. Journal of the Operational Research Society, 44(2), 133-140.<\/li>\n<li style=\"font-weight: 400;\">Cook, W. D., Kress, M., &amp; Seiford, L. M. (1996). Data Envelopment Analysis in the presence of both quantitative and qualitative factors. Journal of the Operational Research Society, 47(7), 945-953.<\/li>\n<li style=\"font-weight: 400;\">Cook, W. D., &amp; Seiford, L. M. (2009). Data envelopment analysis (DEA)-Thirty years on. European Journal of Operational Research, 192(1), 1-17.<\/li>\n<li style=\"font-weight: 400;\">Cook, W. D., &amp; Zhu, J. (2006). Rank order data in DEA: A general framework. European Journal of Operational Research, 174(2), 1021-1038.<\/li>\n<li style=\"font-weight: 400;\">Cook, W. D., &amp; Zhu, J. (2007). Classifying inputs and outputs in data envelopment analysis. European Journal of Operational Research, 180(2), 692-699.<\/li>\n<li style=\"font-weight: 400;\">Cook, W. D., &amp; Zhu, J. (2008). CAR-DEA: Context dependent assurance regions in DEA. Operations Research, 56(1), 69-78.<\/li>\n<li style=\"font-weight: 400;\">Cook, W. D., Zhu, J., Bi, G. B., &amp; Yang F. (2010). Network DEA: Additive efficiency decomposition. European Journal of Operational Research, 207(2), 1122-1129.<\/li>\n<li style=\"font-weight: 400;\">Cooper, W. W., Huang, Z., Li, S., &amp; Olesen, O. B. (1998). Chance constrained programming formulations for stochastic characterizations of efficiency and dominance in DEA. Journal of Productivity Analysis, 9(1), 53-79.<\/li>\n<li style=\"font-weight: 400;\">Cooper, W. W., Huang, Z., &amp; Li, S. (1996). Satisficing DEA models under chance constraints. Annals of Operations Research, 66(4), 279-295.<\/li>\n<li style=\"font-weight: 400;\">Cooper, W. W., Huang, Z., &amp; Li, S. (2004). Chance constraint DEA. In: Cooper, W.W., Seiford, L.M., Zhu, J. (Eds.), Handbook on Data Envelopment Analysis. Norwell, MA: Kluwer Academic Publishers.<\/li>\n<li style=\"font-weight: 400;\">Cooper, W. W., Park, K. S., &amp; Pastor, J. T. (1999). RAM: A Range Adjusted Measure of Inefficiency for Use with Additive Models, and Relations to Other Models and Measures in DEA. Journal of Productivity Analysis, 11(1), 5\u201342.<\/li>\n<li style=\"font-weight: 400;\">Cooper, W. W., Pastor, J. T., Borras, F., Aparicio, J., &amp; Pastor, D. (2011). BAM: a bounded adjusted measure of efficiency for use with bounded additive models. Journal of Productivity Analysis, 35(2), 85-94.<\/li>\n<li style=\"font-weight: 400;\">Cooper, W. W., Seiford, L. M., &amp; Tone, K. (2000). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Boston: Kluwer Acaemic.<\/li>\n<li style=\"font-weight: 400;\">Cooper, W. W., Seiford, L. M., &amp; Tone, K. (2006). Introduction to Data Envelopment Analysis and its Uses. NewYork: Springer Science and Business Media.<\/li>\n<li style=\"font-weight: 400;\">Cooper, W.W., Seiford, L.M., &amp;Tone, K. (2007). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software (Second Edition). New York: Springer.<\/li>\n<li style=\"font-weight: 400;\">Cooper, W., Seiford, L. &amp; Zhu, J. (2011).\u00a0Data envelopment analysis: History, models, and interpretations, in W.W. Cooper, L. Seiford &amp; J. Zhu, eds, \u2018Handbook on Data Envelopment Analysis. International Series in Operations Research &amp; Management Science\u2019, Vol. 164, Springer, Boston, MA.<\/li>\n<li style=\"font-weight: 400;\">Deprins, D., Simar, L.,\u00a0&amp;\u00a0Tulkens, H. (1984).\u00a0Measuring Labor Efficiency in Post Offices. In M. Marchand, P. Pestieau and H. Tulkens (eds.) The Performance of Public Enterprises: Concepts and Measurement. Amsterdam: North Holland, 243-267.<\/li>\n<li style=\"font-weight: 400;\">Demiral, E. E., &amp; Saglam, U. (2021). Eco-efficiency and Eco-productivity assessments of the states in the United States: A two-stage Non-parametric analysis. Applied Energy, 303, 117649.<\/li>\n<li style=\"font-weight: 400;\">Despotis, D. K., &amp; Smirlis, Y. G. (2002).\u00a0Data envelopment analysis with imprecise data. European Journal of Operational Research, 140(1), 24-36.<\/li>\n<li style=\"font-weight: 400;\">Despotis, D. K. (2005a). Measuring human development via data envelopment analysis: the case of Asia and the Pacific. Omega, 33(5), 385-390.<\/li>\n<li style=\"font-weight: 400;\">Despotis, D. K. (2005b). A reassessment of the human development index via data envelopment analysis. Journal of the Operational Research Society 56(8), 969-980.<\/li>\n<li style=\"font-weight: 400;\">Ding, Y., Liu, X., Guo, C., &amp; Cronin, B. (2013). The distribution of references across texts: Some implications for citation analysis. Journal of Informetrics, 7(3), 583\u2013592.<\/li>\n<li style=\"font-weight: 400;\">Doyle, J., &amp; Green, R. (1994). Efficiency and cross-efficiency in DEA: Derivations, meanings and uses. Journal of the Operations Research Society, 45(5), 567-578.<\/li>\n<li style=\"font-weight: 400;\">Dyckhoff, H., &amp; Allen, K. (2001). Measuring ecological efficiency with data envelopment analysis (DEA). European Journal of Operational Research, 132(2), 312\u2013325.<\/li>\n<li style=\"font-weight: 400;\">Dyson, R. G., &amp; Thanassoulis, E. (1998). Reducing weight flexibility in Data Envelopment Analysis. Journal of the Operational Research Society, 39(6), 563-576.<\/li>\n<li style=\"font-weight: 400;\">Du, M., Wang, B., &amp; Wu, Y.R. (2014).\u00a0Sources of China&#8217;s Economic Growth: An Empirical Analysis Based on the BML Index with Green Growth Accounting. Sustainability, 6(9): 5983-6004.<\/li>\n<li style=\"font-weight: 400;\">Emrouznejad, A., &amp; Marra, M. (2014). Ordered weighted averaging operators 1988-2014: A citation-based literature survey. International Journal of Intelligent Systems, 29(11), 994\u20131014.<\/li>\n<li style=\"font-weight: 400;\">Emrouznejad, A., &amp; Tavana, M. (2014). Performance Measurement with Fuzzy Data Envelopment Analysis. In the series of \u201cStudies in Fuzziness and Soft Computing\u201d, Springer-Verlag, ISBN 978-3-642-41371-1.<\/li>\n<li style=\"font-weight: 400;\">Emrouznejad, A., Yang, G., &amp; Amin, G. (2019).\u00a0A novel inverse DEA model with application to allocate the CO2 emissions quota to different regions in Chinese manufacturing industries. Journal of Operational Research Society, 70(7), 1079-1090.<\/li>\n<li style=\"font-weight: 400;\">Fan, M., Shao, S., &amp; Yang, L.L. (2015). Combining global Malmquist-Luenberger index and generalized method of moments to investigate industrial total factor CO2 emission performance: A case of Shanghai (China). Energy Policy, 79: 189-201.<\/li>\n<li style=\"font-weight: 400;\">F\u00e4re, R., Grosskopf, S., Lindgren, B., &amp; Roos, P. (1992).\u00a0Productivity Changes in Swedish Pharmacies 1980\u20131989: A Nonparametric Malmquist Approach. Journal of Productivity Analysis, 3 (1\/2), 85\u2013 101.<\/li>\n<li style=\"font-weight: 400;\">F\u00e4re, R., Grosskopf, S., Lovell, C. A. K., &amp; Pasurka, C. (1989). Multilateral productivity comparisons when some outputs are undesirable: a nonparametric approach. Review of Economic and Statistics, 71(1), 90\u201398.<\/li>\n<li style=\"font-weight: 400;\">F\u00e4re, R., Grosskopf, S., &amp; Lovell, C. A. K. (1985). The Measurement of Efficiency of Production. Boston: Kluwer Nijhoff. Publishing Co.<\/li>\n<li style=\"font-weight: 400;\">F\u00e4re, R., Grosskopf, S., Lovell, C. A. K., &amp; Yaisawarng, S. (1993). Derivation of Shadow Prices for Undesirable Outputs: A Distance Function Approach. Review of Economic and Statistics, 75(2), 374\u2013380.<\/li>\n<li style=\"font-weight: 400;\">F\u00e4re, R., Grosskopf, S., &amp; Lovell, C. A. K. (1994). Production Frontiers. Cambridge: Cambridge University Press.<\/li>\n<li style=\"font-weight: 400;\">F\u00e4re, R., &amp; Grosskopf, S. (2000). Network DEA.\u00a0Socio-Economic Planning Sciences, 34(1), 35-49.<\/li>\n<li style=\"font-weight: 400;\">F\u00e4re, R., &amp; Grosskopf, S. (2004). Modeling undesirable factors in efficiency evaluation: Comment. European Journal of Operational Research, 157(1), 242-245.<\/li>\n<li style=\"font-weight: 400;\">F\u00e4re, R., &amp; Grosskopf, S. (2010). Directional distance functions and slacks-based measures of efficiency: Some clarifications. European Journal of Operational Research, 206(3), 702-722.<\/li>\n<li style=\"font-weight: 400;\">F\u00e4re, R., Grosskopf, S., &amp; Pasurka, Jr., C. A. (2001). Accounting for air pollution emissions in measures of state manufacturing productivity growth. Journal of Regional Science, 41(3), 381\u2013409.<\/li>\n<li style=\"font-weight: 400;\">F\u00e4re, R., Grosskopf, S., Noh, D. W., &amp; Weber, W. (2005).\u00a0Characteristics of a polluting technology: Theory and practice. Journal of Econometrics, 126(2), 469\u2013492.<\/li>\n<li style=\"font-weight: 400;\">F\u00e4re, R., Grosskopf, S., &amp; Pasurka, C. A. (2007).\u00a0Environmental production functions and environmental directional distance functions. Energy, 32(7), 1055-1066.<\/li>\n<li style=\"font-weight: 400;\">Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, Series A (General), 120(3), 253-290.<\/li>\n<li style=\"font-weight: 400;\">Feng, C., Chu, F., Ding, J., Bi, G., Liang, L. (2015).\u00a0Carbon emission abatement (CEA) allocation and compensation schemes based on DEA. Omega, 53, 78-89.<\/li>\n<li style=\"font-weight: 400;\">Fukuyama, H., &amp; Weber, W. L. (2009). A directional slacks-based measure of technical inefficiency. Socioeconomic Planning Science, 43(4), 274\u2013287.<\/li>\n<li style=\"font-weight: 400;\">Gai, Y. X., Qiao, Y. B., Deng, H. J., &amp; Wang, Y. T. (2022).\u00a0Investigating the eco-efficiency of China\u2019s textile industry based on a firm-level analysis. Science of The Total Environment, 833, 155075.<\/li>\n<li style=\"font-weight: 400;\">Garfield, E., &amp; Sher, I. H. (1963). New factors in the evaluation of scientific literature through citation indexing. American Documentation, 14, 195-201.<\/li>\n<li style=\"font-weight: 400;\">Golany, G., &amp; Roll, M. (1989). An application procedure for DEA. Omega, 17, 237-250.<\/li>\n<li style=\"font-weight: 400;\">Goto, M., Otsuka, A., &amp; Sueyoshi, T. (2014). DEA (Data Envelopment Analysis) assessment of operational and environmental efficiencies on Japanese regional industries. Energy, 66, 535-549.<\/li>\n<li style=\"font-weight: 400;\">Halkos, G. E., &amp; Tzeremes, N. G. (2013). A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from UK regions. European Journal of Operational Research, 227(1), 182\u2013189.<\/li>\n<li style=\"font-weight: 400;\">He, F., Zhang, Q., Lei, J., Fu, W.H., &amp; Xu, X.N. (2013). Energy efficiency and productivity change of China\u2019s iron and steel industry: Accounting for undesirable outputs. Energy Policy, 54, 204-213.<\/li>\n<li style=\"font-weight: 400;\">Henriques, C.\u00a0O., Gouveia, C. M., Tenente, M., &amp; da Silva, P. P. (2022).\u00a0Employing Value-Based DEA in the eco-efficiency assessment of the electricity sector. Economic Analysis and Policy, 73, 826-844.<\/li>\n<li style=\"font-weight: 400;\">Hsieh, L. F., &amp; Lin, L. H. (2010).\u00a0A performance evaluation model for international tourist hotels in Taiwan-An application of the relational network DEA. International Journal of Hospitality Management, 29(1), 14-24.<\/li>\n<li style=\"font-weight: 400;\">Hua, Z., &amp; Bin, Y. (2007). DEA with undesirable factors. In: Zhu, J., Cook, W.D.(Eds.). Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis. Springer Science Series (Chapter 6).<\/li>\n<li style=\"font-weight: 400;\">Huang, J. P., Poh, K. L., &amp; Ang, B. W. (1995). Decision analysis in energy and environmental modeling. Energy, 20(9), 843\u2013855.<\/li>\n<li style=\"font-weight: 400;\">Jabbour, C. J. C. (2013). Environmental training in organisations: From a literature review to a framework for future research. Resources Conservation and Recycling, 74(1), 144\u2013155.<\/li>\n<li style=\"font-weight: 400;\">Jebaraj, S., &amp; Iniyan, S. (2006). A review of energy models. Renew. Sustain. Energy Rev., 10, 281\u2013311.<\/li>\n<li style=\"font-weight: 400;\">Kaneko, S., &amp; Fujii, H. (2010). Financial allocation strategy for the regional pollution abatement cost of reducing sulfur dioxide emissions in the thermal power sector in China. Energy Policy, 38(5): 2131-2141.<\/li>\n<li style=\"font-weight: 400;\">Kao, C., &amp; Huang, S. N. (2008).\u00a0Efficiency 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.<\/li>\n<li style=\"font-weight: 400;\">Kazemi, A., D. U. A Galagedera (2023) , An inverse DEA model for intermediate and output target setting in serially linked general two-stage processes, IMA Journal of Management Mathematics, ,\u00a0<a href=\"https:\/\/doi.org\/10.1093\/imaman\/dpab041\">https:\/\/doi.org\/10.1093\/imaman\/dpab041<\/a>.<\/li>\n<li style=\"font-weight: 400;\">Konar, S., &amp; Cohen, M. (1997). Information as Regulation: The effect of Community Right to Know Laws on Toxic Emissions, Journal of Environmental Economics and Management, 32, 109-124.<\/li>\n<li style=\"font-weight: 400;\">Koopmans, T. C. (1951). Analysis of production as an efficient combination of activities. In: Koopmans, T.C. (Ed.), Activity Analysis of Production and Allocation. New York: Wiley, 33-97.<\/li>\n<li style=\"font-weight: 400;\">Krautzberger, L., &amp; Wetzel, H. (2012). Transport and CO2: Productivity Growth and Carbon Dioxide Emissions in the European Commercial Transport Industry. Environmental Resource Economics, 53(3), 435\u2013454.<\/li>\n<li style=\"font-weight: 400;\">Koopmans, T.C. (1951). Analysis of production as an efficient combination of activities. In T.C. Koopmans (Ed.), Activity analysis of production and allocation, Cowles Commission (pp.33-97). New York: Wiley.<\/li>\n<li style=\"font-weight: 400;\">Kumar S. (2006). Environmentally sensitive productivity growth: A global analysis using Malmquist-Luenberger index. Ecological Economics, 56(2), 280\u2013293.<\/li>\n<li style=\"font-weight: 400;\">Kumar, S., &amp; Managi, S. (2010). Environment and productivities in developed and developing countries: the case of carbon dioxide and sulfur dioxide. Journal of Environmental Management, 91(7), 1580-92.<\/li>\n<li style=\"font-weight: 400;\">Kumar, A., Mangla Kumar S. &amp; Kumar, P. (2022) An integrated literature review on sustainable food supply chains: Exploring research themes and future directions. Science of the Total Environment, 821.<\/li>\n<li style=\"font-weight: 400;\">Lage Junior, M., &amp; Godinho Filho, M. (2010).\u00a0Variations of the kanban system: Literature review and classification. International Journal of Production Economics, 125(1), 13\u201321.<\/li>\n<li style=\"font-weight: 400;\">Lall, P., Featherstone, A.M., &amp; Norman, D.W. (2002). Productivity growth in the Western Hemisphere (1978-1994): the Caribbean in perspective. Journal of Productivity Analysis, 17, 213-231.<\/li>\n<li style=\"font-weight: 400;\">Lampe, H. W., &amp; Hilgers, D. (2014).\u00a0Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA. European Journal Operational Research, 240(1), 1\u201321.<\/li>\n<li style=\"font-weight: 400;\">Land, K. C., Lovell, C. A. K., &amp; Thore, S. (1992). Productive efficiency under capitalism and state socialism: The chance constrained programming approach. Public Finance in a World of Transition 47(s): 109-121.<\/li>\n<li style=\"font-weight: 400;\">Land, K. C., Lovell, C. A. K., &amp; Thore, S. (1994). Production efficiency under capitalism and state socialism: An empirical inquiry using chance-constrained data envelopment analysis. Technological Forecasting and Social Change, 46(2): 139-152.<\/li>\n<li style=\"font-weight: 400;\">Lee, J. D., Baek, C., Kim, H. S., &amp; Lee, J. S. (2014).\u00a0Development pattern of the DEA research field: a social network analysis approach. Journal of Productivity Analysis, 41(1), 175\u2013186.<\/li>\n<li style=\"font-weight: 400;\">Lee, J. D., Park, J. B., &amp; Kim, T. Y. (2002).\u00a0Estimation of the shadow prices of pollutants with production\/environment inefficiency taken into account: a nonparametric directional distance function approach. Journal of Environmental Management, 64, 365\u2013375.<\/li>\n<li style=\"font-weight: 400;\">Lee, J. D., Baek, C., Kim, H. S., &amp; Lee, J. S. (2014).\u00a0Development pattern of the DEA research field: a social network analysis approach. Journal of Productivity Analysis, 41(2), 175\u2013186.<\/li>\n<li style=\"font-weight: 400;\">Liang, L., Wu, J., Cook, W. D., &amp; Zhu, J. (2008). The DEA game cross efficiency model and its Nash equilibrium. Operations Research, 56 (5), 1278-1288.<\/li>\n<li style=\"font-weight: 400;\">Li, K., &amp; Lin, B. (2015). The improvement gap in energy intensity: Analysis of China\u2019s thirty provincial regions using the improved DEA (data envelopment analysis) model. Energy, 84(1), 589\u2013599.<\/li>\n<li style=\"font-weight: 400;\">Lin, B., &amp; Du, K. (2015). Energy CO2 emissions performance in China\u2019s regional economies: Do market-oriented reforms matter? Energy Policy, 78(1), 113-124.<\/li>\n<li style=\"font-weight: 400;\">Liou, J. L., Chiu, C. R., Huang, F. M., &amp; Liu, W. Y. (2015). Analyzing the Relationship between CO2 Emission and Economic Efficiency by a Relaxed Two-Stage DEA Model. Aerosolo and Air Quality Research, 15(2), 694-701.<\/li>\n<li style=\"font-weight: 400;\">Liu, J. S., Lu, L. Y. Y., &amp; Lu, W. M. (2016).\u00a0Research fronts in data envelopment analysis.\u00a0Omega, 58(1), 33\u201345.<\/li>\n<li style=\"font-weight: 400;\">Liu, J. S., Lu, L. Y. Y., Lu, W. M., &amp; Lin, B. J. Y. (2013).\u00a0Data envelopment analysis 1978\u20132010: A citation-based literature survey. Omega, 41(1), 3\u201315.<\/li>\n<li style=\"font-weight: 400;\">Lober, G., &amp; Staat, M. (2010). Integrating categorical variables in Data Envelopment Analysis models: A simple solution technique. European Journal of Operational Research, 202(3), 810-818.<\/li>\n<li style=\"font-weight: 400;\">Long, X., Zhao, X., &amp; Cheng F. (2015). The comparison analysis of total factor productivity and eco-efficiency in China\u2019s cement manufactures. Energy Policy, 81(1), 61-66.<\/li>\n<li style=\"font-weight: 400;\">Lovell, C. A. K., Pastor, J. T., &amp; Turner, J. A. (1995). Measuring macroeconomic performance in the OECD: a comparison of European and non-European countries. European Journal of Operational Research, 87, 507\u2013518.<\/li>\n<li style=\"font-weight: 400;\">Lozano, S., Guti\u00e9rrez, E., &amp; Moreno, P. (2013). Network DEA approach to airports performance assessment considering undesirable outputs. Applied Mathematical Modelling, 37(4), 1665-1676.<\/li>\n<li style=\"font-weight: 400;\">Lozano, S., S. Khezri (2023), A new interval efficiency measure in data envelopment analysis based on efficiency potential, IMA Journal of Management Mathematics, 34 (1): 123\u2013142.<\/li>\n<li style=\"font-weight: 400;\">Lu, L. Y. Y., &amp; Liu, J. S. (2013). An innovative approach to identify the knowledge diffusion path: the case of resource-based theory. Scientometrics, 94(1), 225\u2013246.<\/li>\n<li style=\"font-weight: 400;\">Luenberger, D. G. (1992). Benefit functions and duality. Journal of Mathematical Economics, 21(5): 461-481.<\/li>\n<li style=\"font-weight: 400;\">Luenberger, D. G. (1995). Microeconomic Theory. Boston: McGraw-Hill.<\/li>\n<li style=\"font-weight: 400;\">Mahlberg, B., &amp; Sahoo, B. K. (2011).\u00a0Radial and non-radial decompositions of Luenberger productivity indicator with an illustrative application. International Journal of Production economics, 131(2), 721\u2013726.<\/li>\n<li style=\"font-weight: 400;\">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, Journal of Cleaner Production, 223 (20): 641-650.<\/li>\n<li style=\"font-weight: 400;\">Malmquist, S. (1953). Index numbers and indifference surfaces.\u00a0Trabajos de Estatistica, 4:209-242.<\/li>\n<li style=\"font-weight: 400;\">Mandal, S. K., &amp; Madheswaran, S. (2010).\u00a0Environmental efficiency of the Indian cement industry: An interstate analysis. Energy Policy, 38(2), 1108-1118.<\/li>\n<li style=\"font-weight: 400;\">Mariano, E. B., Sobreiro, V. A., &amp; Rebelatto, D. A. D. N. (2015).\u00a0Human development and data envelopment analysis: A structured literature review. Omega, 54(1), 33\u201349.<\/li>\n<li style=\"font-weight: 400;\">Monastyrenko, E. (2017) Eco-efficiency outcomes of mergers and acquisitions in the European electricity industry. Energy Policy, 107, 258-277.<\/li>\n<li style=\"font-weight: 400;\">Moutinho, V., &amp; Madaleno, M. (2021). A two-stage DEA model to evaluate the technical eco-efficiency indicator in the EU countries. International Journal of Environmental Research and Public Health, 18(6), 3038.<\/li>\n<li style=\"font-weight: 400;\">NRC (2010). Advancing the Science of Climate Change.<a href=\"http:\/\/www3.epa.gov\/climatechange\/ghgemissions\/gases\/%20http:\/www.epa.gov\/epahome\/exitepa.htm%20\">\u00a0<\/a>National Research Council. The National Academies Press, Washington, DC, USA.<\/li>\n<li style=\"font-weight: 400;\">Oh, D. (2010a). A meta frontier approach for measuring an environmentally sensitive productivity growth index. Energy Economics, 32, 146\u2013157.<\/li>\n<li style=\"font-weight: 400;\">Oh, D. (2010b). A global Malmquist-Luenberger productivity index. Journal of Productivity Analysis, 34(1), 183\u2013197.<\/li>\n<li style=\"font-weight: 400;\">Oh, D, Heshmati A. (2010). A sequential Malmquist\u2013Luenberger productivity index: Environmentally sensitive productivity growth considering the progressive nature of technology. Energy Economics, 32(6), 1345\u20131355.<\/li>\n<li style=\"font-weight: 400;\">Oukil, A. (2023), Investigating prospective gains from mergers in the agricultural sector through Inverse DEA, IMA Journal of Management Mathematics, https:\/\/doi.org\/10.1093\/imaman\/dpac004<\/li>\n<li style=\"font-weight: 400;\">Olesen, O. B., Petersen N C. (1995). Chance constrained efficiency evaluation. Management science, 41(3), 442-457.<\/li>\n<li style=\"font-weight: 400;\">Pastor, J. T. (1996). Translation invariance in data envelopment analysis. Annals of Operations Research, 66, 93-102.<\/li>\n<li style=\"font-weight: 400;\">Pastor, J.T., Lovell, C.A.K. (2005). A global Malmquist productivity index. Economic Letter, 88, 266-271.<\/li>\n<li style=\"font-weight: 400;\">Pastor, J. T., Ruiz, J. L., Sirvent, I. (1999).\u00a0An enhanced DEA Russell graph efficiency measure. European Journal of Operational Research, 115(3), 596\u2013607.<\/li>\n<li style=\"font-weight: 400;\">Ramli, N. A., &amp; Munisamy, S. (2015).\u00a0Eco-efficiency in greenhouse emissions among manufacturing industries: A range adjusted measure. Economic Modelling, 47(1), 219\u2013227.<\/li>\n<li style=\"font-weight: 400;\">Ray, S.C., &amp; Desli, E. (1997). Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Comment. American Economic Association, 87(5), 1033-1039.<\/li>\n<li style=\"font-weight: 400;\">Riccardi, R., Oggioni, G., &amp; Toninelli, R. (2012).\u00a0Efficiency analysis of world cement industry in presence of undesirable output: Application of data envelopment analysis and directional distance function. Energy Policy, 44(1), 140\u2013152.<\/li>\n<li style=\"font-weight: 400;\">Roll, Y., Cook, W. D., &amp; Golany B. (1991). Controlling factor weights in Data Envelopment Analysis. IIE Transactions, 23(1), 2-9.<\/li>\n<li style=\"font-weight: 400;\">Rousseau, J. J., &amp; Semple, J. H. (1995).\u00a0Two-person ratio efficiency games. Management Science, 41(3), 435-441.<\/li>\n<li style=\"font-weight: 400;\">Russell, R. R. (1988). On the Axiomatic Approach to the Measurement of Technical Efficiency. In W. Eichorn (ed.), Measurement in Economics. Heidelberg: Physica-Verlag.<\/li>\n<li style=\"font-weight: 400;\">Russell, R. R. (1990). Continuity of Measures of Technical Efficiency. Journal of Economic Theory, 51(2), 255\u2013267.<\/li>\n<li style=\"font-weight: 400;\">Scheel, H. (2001). Undesirable outputs in efficiency evaluation. European Journal of Operational Research, 132, 400-410.<\/li>\n<li style=\"font-weight: 400;\">Seiford, L. M, &amp; Zhu J. (1999).\u00a0Profitability and marketability of the top 55 U.S. commercial banks. Management Science, 45(9): 1270\u20131288<\/li>\n<li style=\"font-weight: 400;\">Seiford, L. M., Zhu, J. (1998).\u00a0An acceptance system decision rule with Data Envelopment Analysis. Computers and Operations Research, 25(4), 329-332.<\/li>\n<li style=\"font-weight: 400;\">Seiford, L. M., Zhu, J. (2002).\u00a0Modeling undesirable factors in efficiency evaluation. European Journal of Operational Research, 142(1), 16-20.<\/li>\n<li style=\"font-weight: 400;\">Sexton, T. R., Silkman, R. H., &amp; Hogan, A. J. (1986). Data Envelopment Analysis: Critique and extensions. In Silkman, R.H. (Ed.), Measuring efficiency: An assessment of Data Envelopment Analysis. San Francisco, CA: Jossey-Bass.<\/li>\n<li style=\"font-weight: 400;\">Shephard, R.W., &amp; F\u00e4re, R. (1974). The law of diminishing returns. Zeitschrift f\u00fcr National\u00f6konomie, 34, 69\u201390.<\/li>\n<li style=\"font-weight: 400;\">Syrjanen, M J. (2004). Non-discretionary and discretionary factors and scale in data envelopment analysis. European Journal of Operational Research, 158(1), 20-33.<\/li>\n<li style=\"font-weight: 400;\">Song, M., An, Q., Zhang, W., Wang, Z., &amp; Wu, J. (2012).\u00a0Environmental efficiency evaluation based on data envelopment analysis: A review. Renewable and Sustainable Energy Reviews, 16(7), 4465\u20134469.<\/li>\n<li style=\"font-weight: 400;\">Sueyoshi, T., &amp; Yuan, Y. (2016). Marginal rate of transformation and rate of substitution measured by DEA environmental assessment: Comparison among European and North American nations. Energy Economics, 56, 270-287.<\/li>\n<li style=\"font-weight: 400;\">Sueyoshi, T., &amp; Yuan, Y. (2017). Social sustainability measured by intermediate approach for DEA environmental assessment: Chinese regional planning for economic development and pollution prevention. Energy Economics, 66, 154-166.<\/li>\n<li style=\"font-weight: 400;\">Sueyoshi, T., &amp; Goto, M., (2015) DEA environmental assessment in time horizon: Radial approach for Malmquist index measurement on petroleum companies. Energy Economics, 15, 329-345.<\/li>\n<li style=\"font-weight: 400;\">Taleb, M., , R. Khalid, A. Emrouznejad, R. Ramli (2022). Environmental efficiency under weak disposability: an improved super efficiency data envelopment analysis model with application for assessment of port operations considering NetZero. Environment, Development and Sustainability, https:\/\/doi.org\/10.1007\/s10668-022-02320-8.<\/li>\n<li style=\"font-weight: 400;\">Thanassoulis, E. (2001), Introduction to the Theory and Application of Data Envelopment Analysis: A Foundation Text with Integrated Software, NewYork: Springer.<\/li>\n<li style=\"font-weight: 400;\">Thanassoulis, E., Boussofiane, A., Dyson, R. G. (1996).\u00a0A comparison of data envelopment analysis and ratio analysis as tools for performance assessment. Omega, 24(3), 229-244.<\/li>\n<li style=\"font-weight: 400;\">Thompson, R. G., Jr Singleton, F. D., Thrall, R. M., &amp; Smith, B. A. (1986). Comparative site evaluation for locating a high-energy physics lab in Texas. Interfaces, 16(6), 35-49.<\/li>\n<li style=\"font-weight: 400;\">Thompson, R. G., Langemeier, L. N., Lee, C. T., Lee, E., &amp; Thrall, R. M. (1990).\u00a0The role of multiplier bounds in efficiency analysis with application to Kansas farming. Journal of Econometrics, 46(1), 93-108.<\/li>\n<li style=\"font-weight: 400;\">Thore, S. (1987). Chance-constrained activity analysis. European Journal of Operational Research, 30(3), 267-269.<\/li>\n<li style=\"font-weight: 400;\">Tohidi, G., Razavyan, S., &amp; Tohidnia, S. (2012). A global cost Malmquist productivity index using data envelopment analysis. Journal of the Operational Research Society, 63, 72\u201378.<\/li>\n<li style=\"font-weight: 400;\">Tone, K., &amp; Tsutsui, M. (2009). Network DEA: A Slacks-based Measure Approach. European Journal of Operational Research, 197(1), 243-252.<\/li>\n<li style=\"font-weight: 400;\">Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498-509.<\/li>\n<li style=\"font-weight: 400;\">Wang, Y. M., &amp; Chin, K. S. (2010). Some alternative DEA models for two-stage process. Expert Systems with Applications, 37 (12), 8799-8808.<\/li>\n<li style=\"font-weight: 400;\">Wang, K., &amp; Wei, Y. (2014). China\u2019s regional industrial energy efficiency and carbon emissions abatement costs. Applied Energy, 130, 617-631.<\/li>\n<li style=\"font-weight: 400;\">Wang, Q. W., Zhou, P., Shen, N., &amp; Wang, S. S. (2013).\u00a0Measuring carbon dioxide emission performance in Chinese provinces: A parametric approach. Renewable and Sustainable Energy Reviews, 21, 324-330.<\/li>\n<li style=\"font-weight: 400;\">Watanabe, M., &amp; Tanaka, K. (2007). Efficiency analysis of Chinese industry: A directional distance function approach. Energy Policy, 35(12), 6323-6331.<\/li>\n<li style=\"font-weight: 400;\">Weber, W. L., &amp; Domazlicky, B. (2001).\u00a0Productivity growth and pollution in state manufacturing. Review of Economic and Statistics, 83(1), 195\u2013199.<\/li>\n<li style=\"font-weight: 400;\">Xia, B., Dong, S. C., Li, Z. H., Zhao, M. Y., Sun, D. Q., Zhang, W. B., &amp; Li, Y. (2022).\u00a0Eco-efficiency and its drivers in tourism sectors with respect to carbon emissions from the supply chain: An Integrated EEIO and DEA Approach. International Journal of Environmental Research and Public Health, 19(11), 6951.<\/li>\n<li style=\"font-weight: 400;\">Xiao, H. J., Wang, D. P., Qi, Y., Shao, S., Zhou, Y., &amp; Shan, Y. L. (2021). The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach. Energy Economics, 101, 105408.<\/li>\n<li style=\"font-weight: 400;\">Xu, B., &amp; Lin, B. (2015). Factors affecting CO2 emissions in China\u2019s transport sector: a dynamic nonparametric additive regression model. Journal of Cleaner Production, 101, 311\u2013322.<\/li>\n<li style=\"font-weight: 400;\">Wang, H., Zhou, P., Bai-Chen, X., Zang, N. (2019).\u00a0Assessing drivers of CO2 emissions in China\u2019s electricity sector: A meta frontier production-theoretical decomposition analysis. European Journal of Operational Research, 275(3), 1096-1107.<\/li>\n<li style=\"font-weight: 400;\">Wu, F., Fan, L.W., Zhou, P., &amp; Zhou, D.Q. (2012). Industrial energy efficiency with CO2 emissions in China: a nonparametric analysis. Energy Policy, 49(1) 164-172.<\/li>\n<li style=\"font-weight: 400;\">Yang, G. L., Shen, W. F., Zhang, D. Q., &amp; Liu, W. B. (2014).\u00a0Extended Utility and DEA Models without Explicit Input. Journal of the Operational Research Society, 65, 1212\u20131220.<\/li>\n<li style=\"font-weight: 400;\">Y\u00f6r\u00fck, B. K., &amp; Zaim, O. (2005).\u00a0Productivity growth in OECD countries: A comparison with Malmquist indices. Journal of Comparative Economics, 33(2), 401\u2013420.<\/li>\n<li style=\"font-weight: 400;\">Yuan, P., Cheng, S., Sun, J., &amp; Liang, W. (2013). Measuring the environmental efficiency of the Chinese industrial sector: A directional distance function approach. Mathematical and Computer Modelling, 58(5-6), 936\u2013947.<\/li>\n<li style=\"font-weight: 400;\">Zhang, C. H., Liu, H. Y., Bressers, H. T. A., &amp; Buchanan, K. S. (2011).\u00a0Productivity growth and environmental regulations &#8211; accounting for undesirable outputs: Analysis of China&#8217;s thirty provincial regions using the Malmquist-Luenberger index. Ecological Economics, 70(12), 2369-2379.<\/li>\n<li style=\"font-weight: 400;\">Zhang, N., &amp; Choi, Y. (2014). A note on the evolution of directional distance function and its development in energy and environmental studies 1997\u20132013. Renew. Sustain. Energy Rev., 33, 50\u201359.<\/li>\n<li style=\"font-weight: 400;\">Zhang, N., &amp; Choi, Y. (2013a.) Total-factor carbon emission performance of fossil fuel power plants in China: A meta frontier non-radial Malmquist index analysis. Energy Economics, 40, 549\u2013559.<\/li>\n<li style=\"font-weight: 400;\">Zhang, N., &amp; Choi, Y. (2013b).\u00a0A comparative study of dynamic changes in CO2 emission performance of fossil fuel power plants in China and Korea. Energy Policy 62, 324\u2013332.<\/li>\n<li style=\"font-weight: 400;\">Zhang, N., Kong, F., &amp; Choi, Y. (2014). Measuring sustainability performance for China: A sequential generalized directional distance function approach. Economic Modelling, 41, 392\u2013397.<\/li>\n<li style=\"font-weight: 400;\">Zhang, N., Zhou, P., &amp; Choi, Y. (2013).\u00a0Energy efficiency, CO<sub>2<\/sub>\u00a0emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance function analysis. Energy Policy, 56, 653\u2013662.<\/li>\n<li style=\"font-weight: 400;\">Zhang, N., Zhou, P., &amp; Kung, C. C. (2015).\u00a0Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis. Renew. Sustain. Energy Rev., 41, 584\u2013593.<\/li>\n<li style=\"font-weight: 400;\">Zhou, P., Ang, B. W., Han, J. Y. (2010).\u00a0Total factor carbon emission performance: A Malmquist index analysis. Energy Economics, 32(1) 194\u2013201.<\/li>\n<li style=\"font-weight: 400;\">Zhou, P., Ang, B. W., Poh, K. L. (2008).\u00a0A survey of data envelopment analysis in energy and environmental studies. European Journal of Operational Research, 189(1), 1\u201318.<\/li>\n<li style=\"font-weight: 400;\">Zhou, P., Ang, B. W., &amp; Wang, H. (2012).\u00a0Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach. European Journal of Operational Research, 221(3), 625\u2013635.<\/li>\n<li style=\"font-weight: 400;\">Zhu, C, N. Zhu (2023), Assessing the eco-efficiency of industrial investment in China: a DEA approach, IMA Journal of Management Mathematics, 34 (1): 143\u2013163,\u00a0<a href=\"https:\/\/doi.org\/10.1093\/imaman\/dpab044\">https:\/\/doi.org\/10.1093\/imaman\/dpab044<\/a>.<\/li>\n<li style=\"font-weight: 400;\">Zieschang, K. O. (1984). An Extended Farrell Technical Efficiency Measure. Journal of Economic Theory, 33(2), 387\u2013396.<\/li>\n<\/ul>\n<p style=\"font-weight: 400;\">\n","protected":false},"excerpt":{"rendered":"<p>Emrouznejad, A., M. Marra, G. L. Yang, M. Michali (2023) Eco-efficiency considering NetZero and Data Envelopment Analysis: A critical literature review,\u00a0IMA Journal of Management Mathematics, https:\/\/doi.org\/10.1093\/imaman\/dpad002. &nbsp; List of papers on Data Envelopment Analysis for CO2 reduction (NetZero) Ali, A., &amp; Seiford, L.M. (1990).\u00a0Translation invariance in data envelopment analysis. Operations Research Letter 10, 403-405. Alizadeh, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":5941,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-5914","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/emrouznejad.com\/ali\/wp-json\/wp\/v2\/pages\/5914","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/emrouznejad.com\/ali\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/emrouznejad.com\/ali\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/emrouznejad.com\/ali\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/emrouznejad.com\/ali\/wp-json\/wp\/v2\/comments?post=5914"}],"version-history":[{"count":8,"href":"https:\/\/emrouznejad.com\/ali\/wp-json\/wp\/v2\/pages\/5914\/revisions"}],"predecessor-version":[{"id":6005,"href":"https:\/\/emrouznejad.com\/ali\/wp-json\/wp\/v2\/pages\/5914\/revisions\/6005"}],"up":[{"embeddable":true,"href":"https:\/\/emrouznejad.com\/ali\/wp-json\/wp\/v2\/pages\/5941"}],"wp:attachment":[{"href":"https:\/\/emrouznejad.com\/ali\/wp-json\/wp\/v2\/media?parent=5914"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}