{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T04:13:35Z","timestamp":1777868015931,"version":"3.51.4"},"reference-count":113,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T00:00:00Z","timestamp":1727913600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T00:00:00Z","timestamp":1727913600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100004837","name":"Ministerio de Ciencia e Innovaci\u00f3n","doi-asserted-by":"publisher","award":["PID2021-123515NB-I00"],"award-info":[{"award-number":["PID2021-123515NB-I00"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004837","name":"Ministerio de Ciencia e Innovaci\u00f3n","doi-asserted-by":"publisher","award":["PID2021-123515NB-I00"],"award-info":[{"award-number":["PID2021-123515NB-I00"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003329","name":"Ministerio de Econom\u00eda y Competitividad","doi-asserted-by":"publisher","award":["IJC2019-040699-I"],"award-info":[{"award-number":["IJC2019-040699-I"]}],"id":[{"id":"10.13039\/501100003329","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["RYC2022037863-I"],"award-info":[{"award-number":["RYC2022037863-I"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009042","name":"Universidad de Sevilla","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100009042","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["OR Spectrum"],"published-print":{"date-parts":[[2026,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    This paper studies the environmental efficiency of wheat crops in the different regions of Spain where it is grown. Both rainfed and irrigated wheat cropping systems are considered. Excepting irrigation water consumption, the two groups of observations share the same inputs (namely, N Fertilizers and Non-renewable energy) and outputs (namely, Yield, soil organic carbon, NH\n                    <jats:sub>3<\/jats:sub>\n                    emissions, NO\n                    <jats:sub>3<\/jats:sub>\n                    <jats:sup>\u2212<\/jats:sup>\n                    leaching and Global Warming Potential). The three undesirable outputs considered are handled using the transformation method. Given the stochastic character of the variables, a Chance Constrained DEA approach is proposed. A non-radial directional distance function (DDF) model is used. The proposed approach provides deterministic efficiency, stochastic targets and reference units. The two groups of observations are compared using a metafrontier approach and the corresponding technology gap ratios are computed. For each group of observations, the results have identified the best practice regions and those where environmental efficiency improvements are needed.\n                  <\/jats:p>","DOI":"10.1007\/s00291-024-00791-x","type":"journal-article","created":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T13:02:07Z","timestamp":1727960527000},"page":"35-73","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Environmental efficiency of rainfed and irrigated wheat crops in Spain. A stochastic DEA metafrontier approach"],"prefix":"10.1007","volume":"48","author":[{"given":"Sebasti\u00e1n","family":"Lozano","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9642-3195","authenticated-orcid":false,"given":"Ester","family":"Guti\u00e9rrez","sequence":"additional","affiliation":[]},{"given":"Eduardo","family":"Aguilera","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,3]]},"reference":[{"key":"791_CR1","unstructured":"Aguilera E et al (2015) Embodied energy in agricultural inputs. Incorporating a historical perspective, Sociedad Espa\u00f1ola de Historia Agraria, DT-SEHA 1507 https:\/\/repositori.uji.es\/xmlui\/handle\/10234\/141278"},{"key":"791_CR2","doi-asserted-by":"publisher","first-page":"634","DOI":"10.1016\/j.scitotenv.2017.11.243","volume":"621","author":"E Aguilera","year":"2018","unstructured":"Aguilera E et al (2018) A historical perspective on soil organic carbon in Mediterranean cropland (Spain, 1900\u20132008). Sci Total Environ 621:634\u2013648. https:\/\/doi.org\/10.1016\/j.scitotenv.2017.11.243","journal-title":"Sci Total Environ"},{"key":"791_CR3","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1016\/j.jclepro.2019.02.247","volume":"221","author":"E Aguilera","year":"2019","unstructured":"Aguilera E, Guzm\u00e1n GI, Gonz\u00e1lez de Molina M, Soto D, Infante-Amate J (2019a) From animals to machines. The impact of mechanization on the carbon footprint of traction in Spanish agriculture: 1900\u20132014. J Clean Prod 221:295\u2013305. https:\/\/doi.org\/10.1016\/j.jclepro.2019.02.247","journal-title":"J Clean Prod"},{"key":"791_CR4","doi-asserted-by":"publisher","first-page":"5091","DOI":"10.1021\/acs.est.9b00177","volume":"53","author":"E Aguilera","year":"2019","unstructured":"Aguilera E et al (2019b) Methane emissions from artificial waterbodies dominate the carbon footprint of irrigation: a study of transitions in the food\u2013energy\u2013water\u2013climate Nexus (Spain, 1900\u20132014). Environ Sci Technol 53:5091\u20135101. https:\/\/doi.org\/10.1021\/acs.est.9b00177","journal-title":"Environ Sci Technol"},{"key":"791_CR5","doi-asserted-by":"publisher","first-page":"102809","DOI":"10.1016\/j.agsy.2020.102809","volume":"181","author":"E Aguilera","year":"2020","unstructured":"Aguilera E et al (2020) Agroecology for adaptation to climate change and resource depletion in the Mediterranean region. Rev Agric Syst 181:102809. https:\/\/doi.org\/10.1016\/j.agsy.2020.102809","journal-title":"Rev Agric Syst"},{"key":"791_CR6","doi-asserted-by":"publisher","first-page":"102319","DOI":"10.1016\/j.gloenvcha.2021.102319","volume":"69","author":"E Aguilera","year":"2021","unstructured":"Aguilera E et al (2021a) Greenhouse gas emissions from Mediterranean agriculture: evidence of unbalanced research efforts and knowledge gaps. Glob Environ Chang 69:102319. https:\/\/doi.org\/10.1016\/j.gloenvcha.2021.102319","journal-title":"Glob Environ Chang"},{"key":"791_CR7","doi-asserted-by":"publisher","first-page":"085010","DOI":"10.1088\/1748-9326\/ac17b7","volume":"16","author":"E Aguilera","year":"2021","unstructured":"Aguilera E et al (2021b) Long-term trajectories of the C footprint of N fertilization in Mediterranean agriculture (Spain, 1860\u20132018). Environ Res Lett 16:085010. https:\/\/doi.org\/10.1088\/1748-9326\/ac17b7","journal-title":"Environ Res Lett"},{"key":"791_CR8","doi-asserted-by":"publisher","first-page":"1890","DOI":"10.1039\/C8EE03423K","volume":"12","author":"IM Algunaibet","year":"2019","unstructured":"Algunaibet IM et al (2019) Powering sustainable development within planetary boundaries. Energy Environ Sci 12:1890\u20131900. https:\/\/doi.org\/10.1039\/C8EE03423K","journal-title":"Energy Environ Sci"},{"key":"791_CR9","doi-asserted-by":"publisher","first-page":"312","DOI":"10.1080\/10440041003613362","volume":"34","author":"AM Alonso","year":"2010","unstructured":"Alonso AM, Guzm\u00e1n GI (2010) Comparison of the efficiency and use of energy in organic and conventional farming in Spanish agricultural systems. J Sustain Agric 34:312\u2013338. https:\/\/doi.org\/10.1080\/10440041003613362","journal-title":"J Sustain Agric"},{"key":"791_CR10","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1186\/s40854-023-00578-z","volume":"10","author":"A Amirteimoori","year":"2024","unstructured":"Amirteimoori A, Allahviranloo T, Arabmaldar A (2024a) Scale elasticity and technical efficiency measures in two-stage network production processes: an application to the insurance sector. Financ Innov 10:43. https:\/\/doi.org\/10.1186\/s40854-023-00578-z","journal-title":"Financ Innov"},{"key":"791_CR11","doi-asserted-by":"publisher","first-page":"121722","DOI":"10.1016\/j.eswa.2023.121722","volume":"237","author":"A Amirteimoori","year":"2024","unstructured":"Amirteimoori A, Allahviranloo T, Khoshandam L (2024) Marginal rates of technical changes and impact in stochastic data envelopment analysis: an application in power industry. Expert Syst Appl 237:121722. https:\/\/doi.org\/10.1016\/j.eswa.2023.121722","journal-title":"Expert Syst Appl"},{"key":"791_CR12","doi-asserted-by":"publisher","first-page":"1293","DOI":"10.1007\/s10342-023-01589-2","volume":"142","author":"A Amirteimoori","year":"2023","unstructured":"Amirteimoori A, Allahviranloo T, Zadmirzaei M (2023a) Scale elasticity and technical efficiency analysis in the European forest sector: a stochastic value-based approach. Eur J Forest Res 142:1293\u20131311. https:\/\/doi.org\/10.1007\/s10342-023-01589-2","journal-title":"Eur J Forest Res"},{"key":"791_CR13","doi-asserted-by":"publisher","first-page":"2619","DOI":"10.1080\/01605682.2023.2172366","volume":"74","author":"A Amirteimoori","year":"2023","unstructured":"Amirteimoori A, Charles V, Mehdizadeh S (2023b) Stochastic data envelopment analysis in the presence of undesirable outputs. J Oper Res Soc 74:2619\u20132632. https:\/\/doi.org\/10.1080\/01605682.2023.2172366","journal-title":"J Oper Res Soc"},{"key":"791_CR14","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1093\/imaman\/dpab018","volume":"33","author":"A Amirteimoori","year":"2022","unstructured":"Amirteimoori A, Khoshandam L, Kordrostami S, Jahani Noveiri M, Kazemi Matin R (2022) Performance analysis in a stochastic supply chain with reverse flows: a DEA-based approach. IMA J Manage Math 33:433\u2013456. https:\/\/doi.org\/10.1093\/imaman\/dpab018","journal-title":"IMA J Manage Math"},{"key":"791_CR15","doi-asserted-by":"publisher","unstructured":"Amirteimoori, A., Mehdizadeh, S., Kordrostami, S. (2022b). Stochastic performance measurement in two-stage network processes: A data envelopment analysis approach, Kybernetika, 58, 200\u2013217 https:\/\/doi.org\/10.14736\/kyb-2022-2-0200","DOI":"10.14736\/kyb-2022-2-0200"},{"key":"791_CR16","doi-asserted-by":"publisher","unstructured":"Amirteimoori, A., Sahoo, B.K., Charles, V., Mehdizadeh, S. (2022c). Chapter 4: Stochastic Data Envelopment Analysis. In: Stochastic Benchmarking. Theory and Applications, International Series in Operations Research & Management Science, vol. 317, pp. 55\u201376, Springer, Cham https:\/\/doi.org\/10.1007\/978-3-030-89869-4_4","DOI":"10.1007\/978-3-030-89869-4_4"},{"key":"791_CR17","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1186\/s40854-022-00447-1","volume":"9","author":"A Amirteimoori","year":"2023","unstructured":"Amirteimoori A, Sahoo BK, Mehdizadeh S (2023c) Data envelopment analysis for scale elasticity measurement in the stochastic case: with an application to Indian banking. Financial Innovation 9:31. https:\/\/doi.org\/10.1186\/s40854-022-00447-1","journal-title":"Financial Innovation"},{"key":"791_CR18","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/s11123-023-00670-7","volume":"60","author":"K Ayouba","year":"2023","unstructured":"Ayouba K (2023) Spatial dependence in production frontier models. J Prod Anal 60:21\u201336. https:\/\/doi.org\/10.1007\/s11123-023-00670-7","journal-title":"J Prod Anal"},{"key":"791_CR19","doi-asserted-by":"publisher","first-page":"12231","DOI":"10.1016\/j.eswa.2011.04.001","volume":"38","author":"M Azadi","year":"2011","unstructured":"Azadi M, Farzipoor Saen R (2011) A new chance-constrained data envelopment analysis for selecting third-party reverse logistics providers in the existence of dual-role factors. Expert Syst Appl 38:12231\u201312236. https:\/\/doi.org\/10.1016\/j.eswa.2011.04.001","journal-title":"Expert Syst Appl"},{"key":"791_CR20","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-022-04813-1","author":"M Azadi","year":"2022","unstructured":"Azadi M, Kazemi Matin R, Emrouznejad A, Ho W (2022) Evaluating sustainably resilient supply chains: a stochastic double frontier analytic model considering Netzero. Ann Oper Res. https:\/\/doi.org\/10.1007\/s10479-022-04813-1","journal-title":"Ann Oper Res"},{"key":"791_CR21","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.3390\/agronomy10101499","volume":"10","author":"JA Aznar-S\u00e1nchez","year":"2020","unstructured":"Aznar-S\u00e1nchez JA, Velasco-Mu\u00f1oz JF, Garc\u00eda-Arca D, L\u00f3pez-Felices B (2020) Identification of Opportunities for Applying the Circular Economy to Intensive Agriculture in Almer\u00eda (South-East Spain). Agronomy 10:1499. https:\/\/doi.org\/10.3390\/agronomy10101499","journal-title":"Agronomy"},{"key":"791_CR22","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1007\/s40096-021-00416-2","volume":"16","author":"H Babaie Asil","year":"2022","unstructured":"Babaie Asil H, Kazemi Matin R, Khounsiavash M, Moghadas Z (2022) A modified semi-oriented radial measure to deal with negative and stochastic data: an application in banking industry. Mathematical Sciences 16:237\u2013249. https:\/\/doi.org\/10.1007\/s40096-021-00416-2","journal-title":"Mathematical Sciences"},{"key":"791_CR23","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.eiar.2017.01.001","volume":"41","author":"M Beltr\u00e1n-Esteve","year":"2014","unstructured":"Beltr\u00e1n-Esteve M, G\u00f3mez-Lim\u00f3n JA, Picazo-Tadeo AJ, Reig-Mart\u00ednez E (2014) A metafrontier directional distance function approach to assessing eco-efficiency. J Prod Anal 41:69\u201383. https:\/\/doi.org\/10.1016\/j.eiar.2017.01.001","journal-title":"J Prod Anal"},{"key":"791_CR24","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1016\/j.eiar.2017.01.001","volume":"63","author":"M Beltran-Esteve","year":"2017","unstructured":"Beltran-Esteve M, Reig-Martinez E, Estruch-Guitart V (2017) Assessing eco-efficiency: A metafrontier directional distance function approach using life cycle analysis. Environ Impact Assess Rev 63:116\u2013127. https:\/\/doi.org\/10.1016\/j.eiar.2017.01.001","journal-title":"Environ Impact Assess Rev"},{"key":"791_CR25","doi-asserted-by":"publisher","first-page":"2111","DOI":"10.3390\/agriculture13112111","volume":"13","author":"P Benito-Verdugo","year":"2023","unstructured":"Benito-Verdugo P et al (2023) Impact of Agricultural Drought on Barley and Wheat Yield: A Comparative Case Study of Spain and Germany. Agriculture 13:2111. https:\/\/doi.org\/10.3390\/agriculture13112111","journal-title":"Agriculture"},{"key":"791_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.agee.2020.106964","volume":"298","author":"L Biernat","year":"2020","unstructured":"Biernat L et al (2020) Is organic agriculture in line with the EU-Nitrate directive? On-farm nitrate leaching from organic and conventional arable crop rotations, Agriculture. Ecosystems & Environment 298:106964. https:\/\/doi.org\/10.1016\/j.agee.2020.106964","journal-title":"Ecosystems & Environment"},{"key":"791_CR27","doi-asserted-by":"publisher","first-page":"839","DOI":"10.1016\/j.oneear.2021.05.008","volume":"4","author":"G Billen","year":"2021","unstructured":"Billen G et al (2021) Reshaping the European agro-food system and closing its nitrogen cycle: The potential of combining dietary change, agroecology, and circularity. One Earth 4:839\u2013850. https:\/\/doi.org\/10.1016\/j.oneear.2021.05.008","journal-title":"One Earth"},{"issue":"4","key":"791_CR28","doi-asserted-by":"publisher","first-page":"8","DOI":"10.5751\/ES-09595-220408","volume":"22","author":"BM Campbell","year":"2017","unstructured":"Campbell BM et al (2017) Agriculture production as a major driver of the Earth system exceeding planetary boundaries. Ecol Soc 22(4):8. https:\/\/doi.org\/10.5751\/ES-09595-220408","journal-title":"Ecol Soc"},{"key":"791_CR29","doi-asserted-by":"publisher","first-page":"3724","DOI":"10.3390\/su10103724","volume":"10","author":"G Carranza-Gallego","year":"2018","unstructured":"Carranza-Gallego G et al (2018) Modern Wheat Varieties as a Driver of the Degradation of Spanish Rainfed Mediterranean Agroecosystems throughout the 20th Century. Sustainability 10:3724. https:\/\/doi.org\/10.3390\/su10103724","journal-title":"Sustainability"},{"key":"791_CR30","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.agee.2016.10.006","volume":"238","author":"ML Cayuela","year":"2017","unstructured":"Cayuela ML et al (2017) Direct nitrous oxide emissions in Mediterranean climate cropping systems: emission factors based on a meta-analysis of available measurement data. Agr Ecosyst Environ 238:25\u201335. https:\/\/doi.org\/10.1016\/j.agee.2016.10.006","journal-title":"Agr Ecosyst Environ"},{"key":"791_CR31","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1016\/j.eswa.2017.03.061","volume":"81","author":"V Charles","year":"2017","unstructured":"Charles V, Cornillier F (2017) Value of the stochastic efficiency in data envelopment analysis. Expert Syst Appl 81:349\u2013357. https:\/\/doi.org\/10.1016\/j.eswa.2017.03.061","journal-title":"Expert Syst Appl"},{"key":"791_CR32","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1007\/s10479-017-2552-x","volume":"269","author":"V Charles","year":"2018","unstructured":"Charles V, Tsolas IE, Gherman T (2018) Satisficing data envelopment analysis: a Bayesian approach for peer mining in the banking sector. Ann Oper Res 269:81\u2013102. https:\/\/doi.org\/10.1007\/s10479-017-2552-x","journal-title":"Ann Oper Res"},{"key":"791_CR33","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1016\/j.agee.2017.06.001","volume":"251","author":"JG Conijn","year":"2018","unstructured":"Conijn JG, Bindraban PS, Schroder JJ, Jongschaap REE (2018) Can our global food system meet food demand within planetary boundaries? Agr Ecosyst Environ 251:244\u2013256. https:\/\/doi.org\/10.1016\/j.agee.2017.06.001","journal-title":"Agr Ecosyst Environ"},{"key":"791_CR34","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1023\/A:1018320430249","volume":"9","author":"WW Cooper","year":"1998","unstructured":"Cooper WW, Huang Z, Lelas V, Li SX, Olesen OB (1998) Chance constrained programming formulations for stochastic characterizations of efficiency and dominance in DEA. J Prod Anal 9:53\u201379. https:\/\/doi.org\/10.1023\/A:1018320430249","journal-title":"J Prod Anal"},{"issue":"4","key":"791_CR35","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1007\/BF02187302","volume":"66","author":"WW Cooper","year":"1996","unstructured":"Cooper WW, Huang Z, Li SX (1996) Chapter 13 satisficing DEA models under chance constraints. Annal Oper Res 66(4):279\u2013295. https:\/\/doi.org\/10.1007\/BF02187302","journal-title":"Annal Oper Res"},{"key":"791_CR36","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/978-1-4419-6151-8_9","volume-title":"Handbook on data envelopment analysis","author":"WW Cooper","year":"2011","unstructured":"Cooper WW, Huang Z, Li SX (2011) Chance-Constrained DEA. In: Cooper William W, Seiford Lawrence M, Zhu Joe (eds) Handbook on data envelopment analysis. Springer, Boston, pp 211\u2013240. https:\/\/doi.org\/10.1007\/978-1-4419-6151-8_9"},{"key":"791_CR37","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-45283-8","volume-title":"Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software","author":"WW Cooper","year":"2007","unstructured":"Cooper WW, Seiford LM, Tone K (2007) Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software. Springer, New York"},{"key":"791_CR38","doi-asserted-by":"publisher","unstructured":"Cooper, W.W., Seiford, L.M., Zhu, J. (2011). Handbook on Data Envelopment Analysis, 2nd edition, Springer, New York https:\/\/doi.org\/10.1007\/978-1-4419-6151-8","DOI":"10.1007\/978-1-4419-6151-8"},{"key":"791_CR39","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1142\/S0219622018500396","volume":"18","author":"A Ebrahimnejad","year":"2019","unstructured":"Ebrahimnejad A, Tavana M, Nasseri SH, Gholami O (2019) A new method for solving dual DEA problems with fuzzy stochastic data. Int J Inf Technol Decis Mak 18:147\u2013170. https:\/\/doi.org\/10.1142\/S0219622018500396","journal-title":"Int J Inf Technol Decis Mak"},{"key":"791_CR40","doi-asserted-by":"publisher","first-page":"875","DOI":"10.1016\/j.renene.2021.06.117","volume":"178","author":"B Elhami","year":"2021","unstructured":"Elhami B, Raini MGN, Taki M, Marzban A, Heidarisoltanabadi M (2021) Analysis and comparison of energy-economic-environmental cycle in two cultivation methods (seeding and transplanting) for onion production (case study: central parts of Iran). Renew Energy 178:875\u2013890. https:\/\/doi.org\/10.1016\/j.renene.2021.06.117","journal-title":"Renew Energy"},{"key":"791_CR41","unstructured":"FAO, 2023. FAOSTAT\u2014FAO database for food and agriculture. Rome: Food and agriculture organisation of United Nations (FAO). Available: http:\/\/faostat3.fao.org\/"},{"key":"791_CR42","doi-asserted-by":"publisher","first-page":"2739","DOI":"10.1051\/ro\/2021135","volume":"55","author":"A Ghomi","year":"2021","unstructured":"Ghomi A, Ghobadi S, Behzadi MH, Rostamy-Malkhalifeh M (2021) Inverse data envelopment analysis with stochastic data. RAIRO-Oper Res 55:2739\u20132762. https:\/\/doi.org\/10.1051\/ro\/2021135","journal-title":"RAIRO-Oper Res"},{"key":"791_CR43","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1016\/j.cosust.2013.11.001","volume":"5","author":"D Gerten","year":"2013","unstructured":"Gerten D et al (2013) Towards a revised planetary boundary for consumptive freshwater use: role of environmental flow requirements. Curr Opin Environ Sustain 5:551\u2013558. https:\/\/doi.org\/10.1016\/j.cosust.2013.11.001","journal-title":"Curr Opin Environ Sustain"},{"key":"791_CR44","doi-asserted-by":"publisher","first-page":"929","DOI":"10.1007\/s10113-018-1322-x","volume":"18","author":"S Gingrich","year":"2018","unstructured":"Gingrich S, Cunfer G, Aguilera E (2018) Agroecosystem energy transitions: exploring the energy-land nexus in the course of industrialization. Reg Environ Change 18:929\u2013936. https:\/\/doi.org\/10.1007\/s10113-018-1322-x","journal-title":"Reg Environ Change"},{"key":"791_CR45","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1016\/j.jclepro.2017.02.104","volume":"149","author":"E Guti\u00e9rrez","year":"2017","unstructured":"Guti\u00e9rrez E, Aguilera E, Lozano S, Guzm\u00e1n GI (2017) A two-stage DEA approach for quantifying and analysing the inefficiency of conventional and organic rain-fed cereals in Spain. J Clean Prod 149:335\u2013348. https:\/\/doi.org\/10.1016\/j.jclepro.2017.02.104","journal-title":"J Clean Prod"},{"key":"791_CR46","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1038\/s41597-020-0453-3","volume":"7","author":"I Harris","year":"2020","unstructured":"Harris I, Osborn TJ, Jones P, Lister D (2020) Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci Data 7:109. https:\/\/doi.org\/10.1038\/s41597-020-0453-3","journal-title":"Sci Data"},{"key":"791_CR47","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1023\/A:1007874304917","volume":"15","author":"Z Huang","year":"2001","unstructured":"Huang Z, Li SX (2001) Stochastic DEA models with different types of input-output disturbances. J Prod Anal 15:95\u2013113. https:\/\/doi.org\/10.1023\/A:1007874304917","journal-title":"J Prod Anal"},{"key":"791_CR48","unstructured":"IPCC (2006). Guidelines for National Greenhouse Gas Inventories vol. 4. Agriculture, Forestry and Other Land Use. Intergovernmental Panel on Climate Change, Japan"},{"key":"791_CR49","volume-title":"Intergovernmental panel on climate change","author":"IPCC","year":"2019","unstructured":"IPCC (2019) Refinement of the 2006 guidelines for national greenhouse gas inventories. In: Calvo Buendia E, Tanabe K, Kranjc A, Baasansuren J, Fukuda M, Ngarize S, Osako A, Pyrozhenko Y, Shermanau P, Federici S (eds) Intergovernmental panel on climate change. Switzerland"},{"key":"791_CR50","doi-asserted-by":"publisher","first-page":"1319","DOI":"10.1007\/s10479-020-03765-8","volume":"316","author":"M Izadikhah","year":"2022","unstructured":"Izadikhah M, Azadi E, Azadi M, Farzipoor Saen R, Toloo M (2022) Developing a new chance constrained NDEA model to measure performance of sustainable supply chains. Ann Oper Res 316:1319\u20131347. https:\/\/doi.org\/10.1007\/s10479-020-03765-8","journal-title":"Ann Oper Res"},{"key":"791_CR51","doi-asserted-by":"publisher","first-page":"662","DOI":"10.1080\/00207543.2018.1480840","volume":"57","author":"M Izadikhah","year":"2019","unstructured":"Izadikhah M, Azadi M, Shokri Kahi V, Farzipoor Saen R (2019) Developing a new chance constrained NDEA model to measure the performance of humanitarian supply chains. Int J Prod Res 57:662\u2013682. https:\/\/doi.org\/10.1080\/00207543.2018.1480840","journal-title":"Int J Prod Res"},{"key":"791_CR52","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1016\/j.cor.2017.10.002","volume":"100","author":"M Izadikhah","year":"2018","unstructured":"Izadikhah M, Farzipoor Saen R (2018) Assessing sustainability of supply chains by chance-constrained two-stage DEA model in the presence of undesirable factors. Comput Oper Res 100:343\u2013367. https:\/\/doi.org\/10.1016\/j.cor.2017.10.002","journal-title":"Comput Oper Res"},{"key":"791_CR53","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1007\/s10479-021-04160-7","volume":"322","author":"M Izadikhah","year":"2023","unstructured":"Izadikhah M, Farzipoor Saen R (2023) Developing a linear stochastic two-stage data envelopment analysis model for evaluating sustainability of supply chains: a case study in welding industry. Ann Oper Res 322:195\u2013215. https:\/\/doi.org\/10.1007\/s10479-021-04160-7","journal-title":"Ann Oper Res"},{"key":"791_CR54","doi-asserted-by":"publisher","first-page":"1879","DOI":"10.1142\/S0219622022500377","volume":"21","author":"M Jahani Sayyad Noveiri","year":"2022","unstructured":"Jahani Sayyad Noveiri M, Kordrostami S (2022) Meta-frontier stochastic cost and revenue efficiency analysis: an application to bank branches. Intern J Inf Technology Decis Mak 21:1879\u20131903. https:\/\/doi.org\/10.1142\/S0219622022500377","journal-title":"Intern J Inf Technology Decis Mak"},{"key":"791_CR55","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1007\/s10666-021-09793-3","volume":"26","author":"M Jahani Sayyad Noveiri","year":"2021","unstructured":"Jahani Sayyad Noveiri M, Kordrostami S, Amirteimoori A (2021) Sustainability assessment and most productive scale size: a stochastic DEA approach with dual frontiers. Environ Model Assess 26:723\u2013735. https:\/\/doi.org\/10.1007\/s10666-021-09793-3","journal-title":"Environ Model Assess"},{"key":"791_CR56","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.econmod.2013.12.017","volume":"38","author":"J Jin","year":"2014","unstructured":"Jin J, Zhou D, Zhou P (2014) Measuring environmental performance with stochastic environmental DEA: the case of APEC economies. Econ Model 38:80\u201386. https:\/\/doi.org\/10.1016\/j.econmod.2013.12.017","journal-title":"Econ Model"},{"key":"791_CR57","doi-asserted-by":"publisher","first-page":"92","DOI":"10.30430\/gjae.2022.0222","volume":"71","author":"A Kaiser","year":"2022","unstructured":"Kaiser A, Schaffer A (2022) Considering environmental factors in technical efficiency analysis of European crop production. German J Agric Econ 71:92\u2013106. https:\/\/doi.org\/10.30430\/gjae.2022.0222","journal-title":"German J Agric Econ"},{"key":"791_CR58","doi-asserted-by":"publisher","first-page":"1151","DOI":"10.1007\/s10479-020-03879-z","volume":"315","author":"C Kao","year":"2022","unstructured":"Kao C, Liu ST (2022) Stochastic efficiencies of network production systems with correlated stochastic data: the case of Taiwanese commercial banks. Ann Oper Res 315:1151\u20131174. https:\/\/doi.org\/10.1007\/s10479-020-03879-z","journal-title":"Ann Oper Res"},{"key":"791_CR59","doi-asserted-by":"publisher","first-page":"1424","DOI":"10.1007\/s42729-024-01647-7","volume":"24","author":"G Kaur","year":"2024","unstructured":"Kaur G, Rajni, Sivia JS (2024) Integrating data envelopment analysis and machine learning approaches for energy optimization, decreased carbon footprints, and wheat yield prediction across North-Western India. J Soil Sci Plant Nutr 24:1424\u20131447. https:\/\/doi.org\/10.1007\/s42729-024-01647-7","journal-title":"J Soil Sci Plant Nutr"},{"key":"791_CR60","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1016\/j.measurement.2014.04.018","volume":"54","author":"R Kazemi Matin","year":"2014","unstructured":"Kazemi Matin R, Amin GR, Emrouznejad A (2014) A modified semi-oriented radial measure for target setting with negative data. Measurement 54:152\u2013158. https:\/\/doi.org\/10.1016\/j.measurement.2014.04.018","journal-title":"Measurement"},{"key":"791_CR61","doi-asserted-by":"publisher","first-page":"1413","DOI":"10.1057\/jors.2010.108","volume":"62","author":"K Kerstens","year":"2011","unstructured":"Kerstens K, Van de Woestyne I (2011) Negative data in DEA: a simple proportional distance function approach. J Oper Res Soc 62:1413\u20131419. https:\/\/doi.org\/10.1057\/jors.2010.108","journal-title":"J Oper Res Soc"},{"key":"791_CR62","doi-asserted-by":"publisher","first-page":"968","DOI":"10.1016\/j.econmod.2009.03.002","volume":"26","author":"M Khodabakhshi","year":"2009","unstructured":"Khodabakhshi M (2009) Estimating most productive scale size with stochastic data in data envelopment analysis. Econ Model 26:968\u2013973. https:\/\/doi.org\/10.1016\/j.econmod.2009.03.002","journal-title":"Econ Model"},{"key":"791_CR63","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1016\/j.cie.2010.01.009","volume":"58","author":"M Khodabakhshi","year":"2010","unstructured":"Khodabakhshi M (2010) An output oriented super-efficiency measure in stochastic data envelopment analysis: considering Iranian electricity distribution companies. Comput Ind Eng 58:663\u2013671. https:\/\/doi.org\/10.1016\/j.cie.2010.01.009","journal-title":"Comput Ind Eng"},{"key":"791_CR64","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1016\/j.eap.2021.01.013","volume":"69","author":"M Khodadadipour","year":"2021","unstructured":"Khodadadipour M, Hadi-Vencheh A, Behzadi MH, Rostamy-malkhalifeh M (2021) Undesirable factors in stochastic DEA cross-efficiency evaluation: an application to thermal power plant energy efficiency. Econ Anal Policy 69:613\u2013628. https:\/\/doi.org\/10.1016\/j.eap.2021.01.013","journal-title":"Econ Anal Policy"},{"issue":"22","key":"791_CR65","doi-asserted-by":"publisher","first-page":"7691","DOI":"10.1080\/03610926.2021.1879859","volume":"51","author":"M Khodadadipour","year":"2022","unstructured":"Khodadadipour M, Hadi-Vencheh A, Behzadi MH, Rostamymalkhalifeh M (2022) Efficiency evaluation with cross-efficiency in the presence of undesirable outputs in stochastic environment. Commun Stat Theory Method 51(22):7691\u20137712. https:\/\/doi.org\/10.1080\/03610926.2021.1879859","journal-title":"Commun Stat Theory Method"},{"issue":"6","key":"791_CR66","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1002\/mde.4090140607","volume":"14","author":"KC Land","year":"1993","unstructured":"Land KC, Lovell CK, Thore S (1993) Chance-constrained data envelopment analysis. Manag Decis Econ 14(6):541\u2013554. https:\/\/doi.org\/10.1002\/mde.4090140607","journal-title":"Manag Decis Econ"},{"key":"791_CR67","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-023-05337-y","author":"SW Lin","year":"2023","unstructured":"Lin SW, Lu WM (2023) A chance-constrained network DEA approach based on enhanced Russell-based directional distance measure to evaluate public sector performance: a case study of OECD countries. Ann Oper Res. https:\/\/doi.org\/10.1007\/s10479-023-05337-y","journal-title":"Ann Oper Res"},{"key":"791_CR68","unstructured":"MAPA (2018). Encuesta sobre superficies y rendimientos de cultivo. Informe sobre regad\u00edos en Espa\u00f1a 2018. Ministerio de Agricultura Pesca y Alimentaci\u00f3n, Madrid, Spain"},{"key":"791_CR69","unstructured":"MAPA (2019). Balance de nitr\u00f3geno de la agricultura espa\u00f1ola. Ministerio de Agricultura, Pesca y Alimentaci\u00f3n, Madrid, Spain"},{"key":"791_CR70","unstructured":"MAPA (2023). Anuario de Estad\u00edstica Agraria 1904\u20132021. MAPA (Ministerio de Agricultura Pesca y Alimentaci\u00f3n), Madrid, Spain"},{"key":"791_CR71","doi-asserted-by":"publisher","first-page":"101444","DOI":"10.1016\/j.ejrh.2023.101444","volume":"47","author":"J Martinez-Dalmau","year":"2023","unstructured":"Martinez-Dalmau J, Gutierrez-Martin C, Kahil T, Berbel J (2023) Impact of alternative water policies for drought adaptation in the Guadalquivir Mediterranean river basin, southern Spain. J Hydrol Reg Stud 47:101444. https:\/\/doi.org\/10.1016\/j.ejrh.2023.101444","journal-title":"J Hydrol Reg Stud"},{"key":"791_CR72","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/s11269-023-03663-1","volume":"38","author":"J Martinez-Valderrama","year":"2024","unstructured":"Martinez-Valderrama J et al (2024) Uberizing agriculture in drylands: a few enriched. Everyone Endanger Water Res Manage 38:193\u2013214. https:\/\/doi.org\/10.1007\/s11269-023-03663-1","journal-title":"Everyone Endanger Water Res Manage"},{"key":"791_CR73","doi-asserted-by":"publisher","first-page":"396","DOI":"10.2166\/wp.2020.191","volume":"22","author":"VJPD Martinho","year":"2020","unstructured":"Martinho VJPD (2020) Efficient water management: an analysis for the agricultural sector. Water Policy 22:396\u2013416. https:\/\/doi.org\/10.2166\/wp.2020.191","journal-title":"Water Policy"},{"issue":"2","key":"791_CR74","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1080\/01605682.2019.1671151","volume":"72","author":"S Mehdizadeh","year":"2021","unstructured":"Mehdizadeh S, Amirteimoori A, Charles V, Behzadi MH, Kordrostami S (2021) Measuring the efficiency of two-stage network processes: a satisficing DEA approach. J Oper Res Soc 72(2):354\u2013366. https:\/\/doi.org\/10.1080\/01605682.2019.1671151","journal-title":"J Oper Res Soc"},{"key":"791_CR75","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1016\/j.ejor.2014.11.012","volume":"243","author":"P Mitropoulos","year":"2015","unstructured":"Mitropoulos P, Talias MA, Mitropoulos I (2015) Combining stochastic DEA with Bayesian analysis to obtain statistical properties of the efficiency scores: an application to Greek public hospitals. Eur J Oper Res 243:302\u2013311. https:\/\/doi.org\/10.1016\/j.ejor.2014.11.012","journal-title":"Eur J Oper Res"},{"key":"791_CR76","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s12351-023-00746-0","volume":"23","author":"P Mitropoulos","year":"2023","unstructured":"Mitropoulos P, Mitropoulos A (2023) Evaluating efficiency and technology gaps of the national systems of entrepreneurship using stochastic DEA and club convergence. Oper Res Int Journal 23:1. https:\/\/doi.org\/10.1007\/s12351-023-00746-0","journal-title":"Oper Res Int Journal"},{"key":"791_CR77","doi-asserted-by":"publisher","first-page":"534","DOI":"10.1007\/s40815-017-0367-1","volume":"20","author":"SH Nasseri","year":"2018","unstructured":"Nasseri SH, Ebrahimnejad A, Gholami O (2018) Fuzzy Stochastic data envelopment analysis with undesirable outputs and its application to banking industry. Int J Fuzzy Syst 20:534\u2013548. https:\/\/doi.org\/10.1007\/s40815-017-0367-1","journal-title":"Int J Fuzzy Syst"},{"key":"791_CR78","doi-asserted-by":"publisher","first-page":"843","DOI":"10.1016\/j.jclepro.2016.07.151","volume":"137","author":"A Nikkhah","year":"2016","unstructured":"Nikkhah A et al (2016) Integration of life cycle assessment and Cobb-Douglas modeling for the environmental assessment of kiwifruit in Iran. J Clean Prod 137:843\u2013849. https:\/\/doi.org\/10.1016\/j.jclepro.2016.07.151","journal-title":"J Clean Prod"},{"key":"791_CR79","doi-asserted-by":"publisher","first-page":"15","DOI":"10.5194\/soil-5-15-2019","volume":"5","author":"EE Oldfield","year":"2019","unstructured":"Oldfield EE, Bradford MA, Wood SA (2019) Global meta-analysis of the relationship between soil organic matter and crop yields. Soil 5:15\u201332. https:\/\/doi.org\/10.5194\/soil-5-15-2019","journal-title":"Soil"},{"issue":"3","key":"791_CR80","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1287\/mnsc.41.3.442","volume":"41","author":"OB Olesen","year":"1995","unstructured":"Olesen OB, Petersen NC (1995) Chance constrained efficiency evaluation. Manage Sci 41(3):442\u2013457. https:\/\/doi.org\/10.1287\/mnsc.41.3.442","journal-title":"Manage Sci"},{"key":"791_CR81","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1016\/j.ejor.2015.07.058","volume":"251","author":"OB Olesen","year":"2016","unstructured":"Olesen OB, Petersen NC (2016) Stochastic data envelopment analysis\u2014a review. Eur J Oper Res 251:2\u201321. https:\/\/doi.org\/10.1016\/j.ejor.2015.07.058","journal-title":"Eur J Oper Res"},{"key":"791_CR82","doi-asserted-by":"publisher","first-page":"933","DOI":"10.1641\/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2","volume":"51","author":"DM Olson","year":"2001","unstructured":"Olson DM et al (2001) Terrestrial ecoregions of the worlds: a new map of life on Earth. Bioscience 51:933\u2013938. https:\/\/doi.org\/10.1641\/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2","journal-title":"Bioscience"},{"key":"791_CR83","unstructured":"Oort Alonso, I. (2021). The environmental impacts of greenhouse agriculture in Almer\u00eda, Spain, https:\/\/www.foodunfolded.com\/article\/the-environmental-impacts-of-greenhouse-agriculture-in-almeria-spain"},{"key":"791_CR84","doi-asserted-by":"publisher","first-page":"2335","DOI":"10.1073\/pnas.1717072115","volume":"115","author":"P Pellegrini","year":"2018","unstructured":"Pellegrini P, Fern\u00e1ndez RJ (2018) Crop intensification, land use, and on-farm energy-use efficiency during the worldwide spread of the green revolution. Proc Natl Acad Sci 115:2335\u20132340. https:\/\/doi.org\/10.1073\/pnas.1717072115","journal-title":"Proc Natl Acad Sci"},{"key":"791_CR85","doi-asserted-by":"publisher","first-page":"9740704","DOI":"10.1155\/2020\/9740704","volume":"2020","author":"J Ren","year":"2020","unstructured":"Ren J, Gao B, Zhang J, Chen C (2020) Measuring the energy and carbon emission efficiency of regional transportation systems in China: chance-constrained DEA models. Math Probl Eng 2020:9740704. https:\/\/doi.org\/10.1155\/2020\/9740704","journal-title":"Math Probl Eng"},{"key":"791_CR86","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1038\/s43016-019-0010-4","volume":"1","author":"J Rockstr\u00f6m","year":"2020","unstructured":"Rockstr\u00f6m J, Edenhofer O, Gaertner J, DeClerck F (2020) Planet-proofing the global food system. Nature Food 1:3\u20135. https:\/\/doi.org\/10.1038\/s43016-019-0010-4","journal-title":"Nature Food"},{"key":"791_CR87","doi-asserted-by":"publisher","first-page":"125005","DOI":"10.1088\/1748-9326\/9\/12\/125005","volume":"9","author":"A Sanz-Cobena","year":"2014","unstructured":"Sanz-Cobena A et al (2014) Yield-scaled mitigation of ammonia emission from N fertilization: the Spanish case. Environ Res Lett 9:125005. https:\/\/doi.org\/10.1088\/1748-9326\/9\/12\/125005","journal-title":"Environ Res Lett"},{"key":"791_CR88","doi-asserted-by":"publisher","first-page":"145032","DOI":"10.1016\/j.scitotenv.2021.145032","volume":"772","author":"J Serra","year":"2021","unstructured":"Serra J, Cameira MdR, Cordovil C, Hutchings N (2021) Development of a groundwater contamination index based on the agricultural hazard and aquifer vulnerability: application to Portugal. Sci Total Environ 772:145032. https:\/\/doi.org\/10.1016\/j.scitotenv.2021.145032","journal-title":"Sci Total Environ"},{"key":"791_CR89","doi-asserted-by":"publisher","first-page":"400","DOI":"10.1016\/S0377-2217(00)00160-0","volume":"132","author":"H Scheel","year":"2001","unstructured":"Scheel H (2001) Undesirable outputs in efficiency valuations. Eur J Oper Res 132:400\u2013410. https:\/\/doi.org\/10.1016\/S0377-2217(00)00160-0","journal-title":"Eur J Oper Res"},{"key":"791_CR90","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/S0377-2217(01)00293-4","volume":"142","author":"LM Seiford","year":"2002","unstructured":"Seiford LM, Zhu J (2002) Modeling undesirable factors in efficiency evaluation. Eur J Oper Res 142:16\u201320. https:\/\/doi.org\/10.1016\/S0377-2217(01)00293-4","journal-title":"Eur J Oper Res"},{"key":"791_CR91","doi-asserted-by":"publisher","first-page":"1863","DOI":"10.1007\/s12351-018-0378-1","volume":"20","author":"RK Shiraz","year":"2020","unstructured":"Shiraz RK, Hatami-Marbini A, Emrouznejad A, Fukuyama H (2020) Chance-constrained cost efficiency in data envelopment analysis model with random inputs and outputs. Oper Res Int Journal 20:1863\u20131898. https:\/\/doi.org\/10.1007\/s12351-018-0378-1","journal-title":"Oper Res Int Journal"},{"key":"791_CR92","doi-asserted-by":"publisher","first-page":"3030","DOI":"10.1007\/s42729-021-00587-w","volume":"21","author":"P Singh","year":"2021","unstructured":"Singh P, Singh G, Sodhi GPS, Benbi DK (2021) Accounting carbon footprints and applying data envelopment analysis to optimize input-induced greenhouse gas emissions under rice-wheat cropping system in North-Western India. J Soil Sci Plant Nutr 21:3030\u20133050. https:\/\/doi.org\/10.1007\/s42729-021-00587-w","journal-title":"J Soil Sci Plant Nutr"},{"key":"791_CR93","doi-asserted-by":"publisher","first-page":"128615","DOI":"10.1016\/j.energy.2023.128615","volume":"284","author":"P Singh","year":"2023","unstructured":"Singh P, Singh G, Gupta A, Sodhi GPS (2023) Data envelopment analysis based energy optimization for improving energy efficiency in wheat established following rice residue management in rice-wheat cropping system. Energy 284:128615. https:\/\/doi.org\/10.1016\/j.energy.2023.128615","journal-title":"Energy"},{"key":"791_CR94","doi-asserted-by":"publisher","first-page":"243","DOI":"10.17221\/390\/2019-AGRICECON","volume":"66","author":"J Spicka","year":"2020","unstructured":"Spicka J, Vintr T, Aulova R, Machackova J (2020) Trade-off between the economic and environmental sustainability in Czech dual farm structure. Agric Econ Czech 66:243\u2013250","journal-title":"Agric Econ Czech"},{"key":"791_CR95","doi-asserted-by":"publisher","first-page":"20","DOI":"10.30858\/zer\/162644","volume":"374","author":"J Staniszewski","year":"2023","unstructured":"Staniszewski J, Matuszczak A (2023) Environmentally adjusted analysis of agricultural efficiency: a systematic literature review of frontier approaches. Probl Agric Econ 374:20\u201341. https:\/\/doi.org\/10.30858\/zer\/162644","journal-title":"Probl Agric Econ"},{"issue":"6223","key":"791_CR96","doi-asserted-by":"publisher","first-page":"1259855","DOI":"10.1126\/science.1259855","volume":"347","author":"W Steffen","year":"2015","unstructured":"Steffen W et al (2015) Planetary boundaries: guiding human development on a changing planet. Science 347(6223):1259855. https:\/\/doi.org\/10.1126\/science.1259855","journal-title":"Science"},{"key":"791_CR97","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1108\/BIJ-01-2020-0044","volume":"28","author":"M Tavassoli","year":"2021","unstructured":"Tavassoli M, Fathi A, Farzipoor Saen R (2021) Developing a new super-efficiency DEA model in the presence of both zero data and stochastic data: a case study in the Iranian airline industry. Benchmarking An Int J 28:42\u201365. https:\/\/doi.org\/10.1108\/BIJ-01-2020-0044","journal-title":"Benchmarking An Int J"},{"key":"791_CR98","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1007\/s11069-017-2981-5","volume":"89","author":"G Tian","year":"2017","unstructured":"Tian G, Shi J, Sun L, Long X, Guo B (2017) Dynamic changes in the energy\u2013carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function approach. Nat Hazards 89:585\u2013607. https:\/\/doi.org\/10.1007\/s11069-017-2981-5","journal-title":"Nat Hazards"},{"key":"791_CR99","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1007\/s40710-024-00689-4","volume":"11","author":"E Tocados-Franco","year":"2024","unstructured":"Tocados-Franco E, Martinez-Dalmau J, Espinosa-Tason J, Montilla-Lopez NM (2024) Trends in water-energy nexus and carbon emissions balance in axarquia region, Spain, in the period 1990\u20132030. Environ Processes 11:11. https:\/\/doi.org\/10.1007\/s40710-024-00689-4","journal-title":"Environ Processes"},{"key":"791_CR100","doi-asserted-by":"publisher","first-page":"143399","DOI":"10.1016\/j.scitotenv.2020.143399","volume":"760","author":"J Vila-Traver","year":"2021","unstructured":"Vila-Traver J, Aguilera E, Infante-Amate J, Gonz\u00e1lez de Molina M (2021) Climate change and industrialization as the main drivers of Spanish agriculture water stress. Sci Total Environ 760:143399. https:\/\/doi.org\/10.1016\/j.scitotenv.2020.143399","journal-title":"Sci Total Environ"},{"key":"791_CR101","doi-asserted-by":"publisher","first-page":"2316","DOI":"10.3390\/su12062316","volume":"12","author":"M Wang","year":"2020","unstructured":"Wang M, Chen Y, Zhou Z (2020) A novel stochastic two-stage DEA model for evaluating industrial production and waste gas treatment systems. Sustainability 12:2316. https:\/\/doi.org\/10.3390\/su12062316","journal-title":"Sustainability"},{"key":"791_CR102","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1016\/j.rser.2016.11.199","volume":"69","author":"Q Wang","year":"2017","unstructured":"Wang Q, Chiu YH, Chiu CR (2017) Non-radial metafrontier approach to identify carbon emission performance and intensity. Renew Sustain Energy Rev 69:664\u2013672. https:\/\/doi.org\/10.1016\/j.rser.2016.11.199","journal-title":"Renew Sustain Energy Rev"},{"key":"791_CR103","doi-asserted-by":"publisher","first-page":"893","DOI":"10.1038\/nclimate2355","volume":"4","author":"M Watanabe","year":"2014","unstructured":"Watanabe M et al (2014) Contribution of natural decadal variability to global warming acceleration and hiatus. Nat Clim Chang 4:893\u2013897. https:\/\/doi.org\/10.1038\/nclimate2355","journal-title":"Nat Clim Chang"},{"key":"791_CR104","doi-asserted-by":"publisher","first-page":"980","DOI":"10.1016\/j.mcm.2012.09.022","volume":"58","author":"C Wu","year":"2013","unstructured":"Wu C, Li Y, Liu Q, Wang K (2013) A stochastic DEA model considering undesirable outputs with weak disposability. Math Comput Model 58:980\u2013989. https:\/\/doi.org\/10.1016\/j.mcm.2012.09.022","journal-title":"Math Comput Model"},{"key":"791_CR105","doi-asserted-by":"publisher","first-page":"164128","DOI":"10.1016\/j.scitotenv.2023.164128","volume":"887","author":"J Yang","year":"2023","unstructured":"Yang J, Chang JX, Konar M, Wang YM, Yao J (2023) The grain food-energy-water nexus in China: benchmarking sustainability with generalized data envelopment analysis. Sci Total Environ 887:164128. https:\/\/doi.org\/10.1016\/j.scitotenv.2023.164128","journal-title":"Sci Total Environ"},{"key":"791_CR106","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.enpol.2015.05.001","volume":"84","author":"X Yao","year":"2015","unstructured":"Yao X, Zhou H, Zhang A, Li A (2015) Regional energy efficiency, carbon emission performance and technology gaps in China: a meta-frontier non-radial directional distance function analysis. Energy Policy 84:142\u2013154. https:\/\/doi.org\/10.1016\/j.enpol.2015.05.001","journal-title":"Energy Policy"},{"key":"791_CR107","doi-asserted-by":"publisher","first-page":"107551","DOI":"10.1016\/j.agee.2021.107551","volume":"319","author":"MD Young","year":"2021","unstructured":"Young MD, Ros GH, de Vries W (2021) Impacts of agronomic measures on crop, soil, and environmental indicators: a review and synthesis of meta-analysis. Agri Ecosyst Environ 319:107551. https:\/\/doi.org\/10.1016\/j.agee.2021.107551","journal-title":"Agri Ecosyst Environ"},{"key":"791_CR108","doi-asserted-by":"publisher","first-page":"101147","DOI":"10.1016\/j.seps.2021.101147","volume":"80","author":"A Yu","year":"2022","unstructured":"Yu A, Zhang P, Rudkin S (2022) Simultaneous action or protection after production decision making based on a chance-constrained approach by measuring environmental performance considering PM25. Socio-Econ Plann Sci 80:101147. https:\/\/doi.org\/10.1016\/j.seps.2021.101147","journal-title":"Socio-Econ Plann Sci"},{"key":"791_CR109","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1016\/j.ejor.2021.10.054","volume":"301","author":"MM Yu","year":"2022","unstructured":"Yu MM, See KF, Hsiao B (2022b) Integrating group frontier and metafrontier directional distance functions to evaluate the efficiency of production units. Eur J Oper Res 301:254\u2013276. https:\/\/doi.org\/10.1016\/j.ejor.2021.10.054","journal-title":"Eur J Oper Res"},{"key":"791_CR110","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1016\/j.cor.2015.07.021","volume":"66","author":"Y Zha","year":"2016","unstructured":"Zha Y, Zhao L, Bian Y (2016) Measuring regional efficiency of energy and carbon dioxide emissions in China: a chance constrained DEA approach. Comput Oper Res 66:351\u2013361. https:\/\/doi.org\/10.1016\/j.cor.2015.07.021","journal-title":"Comput Oper Res"},{"key":"791_CR111","doi-asserted-by":"publisher","first-page":"653","DOI":"10.1016\/j.enpol.2013.01.033","volume":"56","author":"N Zhang","year":"2013","unstructured":"Zhang N, Zhou P, Choi Y (2013) Energy efficiency, CO2 emission 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. https:\/\/doi.org\/10.1016\/j.enpol.2013.01.033","journal-title":"Energy Policy"},{"key":"791_CR112","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1016\/j.ejor.2012.04.022","volume":"221","author":"P Zhou","year":"2012","unstructured":"Zhou P, Ang BW, Wang H (2012) Energy and CO2 emission performance in electricity generation: a non-radial directional distance function approach. Eur J Oper Res 221:625\u2013635. https:\/\/doi.org\/10.1016\/j.ejor.2012.04.022","journal-title":"Eur J Oper Res"},{"key":"791_CR113","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7553-9","author":"J Zhu","year":"2015","unstructured":"Zhu J (2015) Data envelopment analysis: a handbook of models and methods. Springer, New York. https:\/\/doi.org\/10.1007\/978-1-4899-7553-9","journal-title":"Springer, New York"}],"container-title":["OR Spectrum"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00291-024-00791-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00291-024-00791-x","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00291-024-00791-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T11:20:10Z","timestamp":1777548010000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00291-024-00791-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,3]]},"references-count":113,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,3]]}},"alternative-id":["791"],"URL":"https:\/\/doi.org\/10.1007\/s00291-024-00791-x","relation":{},"ISSN":["0171-6468","1436-6304"],"issn-type":[{"value":"0171-6468","type":"print"},{"value":"1436-6304","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,3]]},"assertion":[{"value":"13 July 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 September 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 October 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}