Modelling and analyzing the GHG emissions in the VUCA world: Evidence from tomato production in Morocco

Alkaabneh, 2021, A systems approach to carbon policy for fruit supply chains: carbon tax, technology innovation, or land sparing?, Sci. Total Environ., 767, 10.1016/j.scitotenv.2020.144211 Almeida, 2014, Carbon and water footprints and energy use of greenhouse tomato production in Northern Italy, J. Indus. Ecol., 18, 898, 10.1111/jiec.12169 Bailis, 2015, The carbon footprint of traditional woodfuels, Nat. Clim. Change, 5, 266, 10.1038/nclimate2491 Banasik, 2019, Accounting for uncertainty in eco-efficient agri-food supply chains: case study for mushroom production planning, J. Clean. Prod., 216, 249, 10.1016/j.jclepro.2019.01.153 Baud-Lavigne, 2014, Environmental constraints in joint product and supply chain design optimization, Comput. Ind. Eng., 76, 16, 10.1016/j.cie.2014.07.014 Bennett, 2014, What a difference a word makes: understanding threats to performance in a VUCA world, Bus. Horiz., 57, 311, 10.1016/j.bushor.2014.01.001 Bevilacqua, 2011, A carbon footprint analysis in the textile supply chain, Int. J. Sustain. Eng., 4, 24, 10.1080/19397038.2010.502582 Crippa, 2021, Food systems are responsible for a third of global anthropogenic GHG emissions, Nature Food, 2, 198, 10.1038/s43016-021-00225-9 Chen, 2015, Accurate and efficient traffic sign detection using discriminative adaboost and support vector regression, IEEE Trans. Veh. Technol., 65, 4006, 10.1109/TVT.2015.2500275 2021, COP26: green technologies could turn the tide, Nat. Rev. Mater., 6 Du, 2014, Game-theoretical analysis for supply chain with consumer preference to low carbon, Int. J. Prod. Res., 53, 3753, 10.1080/00207543.2014.988888 Elhedhli, 2012, Green supply chain Network design to reduce carbon emissions, Transport. Res. Transport Environ., 17, 370, 10.1016/j.trd.2012.02.002 Ferguson, 2020, Key factors of carbon footprint in the UK food supply chains: a new perspective of life cycle assessment, Int. J. Oper. Prod. Manag., 40, 945, 10.1108/IJOPM-06-2019-0478 Fu, 2020, Take actions or outsource? An empirical examination of strategic environmental options on greenhouse gas emissions, Int. J. Oper. Prod. Manag., 40, 753, 10.1108/IJOPM-02-2020-0088 Ghadge, 2019, Managing climate change risks in global supply chains: a review and research agenda, Int. J. Prod. Res., 58, 44, 10.1080/00207543.2019.1629670 Ghosh, 2020, Managing carbon footprint for a sustainable supply chain: a systematic literature review, Mod. Chain.Res. Appl., 2, 123 Govindan, 2015, Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches, Ann. Oper. Res., 238, 243 Han, 2019, Agricultural CH4 and N2O emissions of major economies: consumption-vs. production-based perspectives, J. Clean. Prod., 210, 276, 10.1016/j.jclepro.2018.11.018 Hausmann, 2014 Herrero, 2009, Livestock, livelihoods and the environment: understanding the trade-offs, Curr. Opin. Environ. Sustain., 1, 111, 10.1016/j.cosust.2009.10.003 Hsu, 2013, Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management, J. Clean. Prod., 56, 164, 10.1016/j.jclepro.2011.09.012 Ji, 2017, Carbon emission reduction decisions in the retail-/dual-channel supply chain with consumers' preference, J. Clean. Prod., 141, 852, 10.1016/j.jclepro.2016.09.135 Jo, 2022, Including the reefer chain into genuine beef cold chain architecture based on blockchain technology, J. Clean. Prod., 10.1016/j.jclepro.2022.132646 Kramer, 1999, Total greenhouse gas emissions related to the Dutch crop production system, Agric. Ecosyst. Environ., 72, 9, 10.1016/S0167-8809(98)00158-3 Lauk, 2022, Demand side options to reduce greenhouse gas emissions and the land footprint of urban food systems: a scenario analysis for the City of Vienna, J. Clean. Prod., 359, 10.1016/j.jclepro.2022.132064 Lee, 2011, Integrating carbon footprint into supply chain management: the case of hyundai motor company (HMC) in the automobile industry, J. Clean. Prod., 19, 1216, 10.1016/j.jclepro.2011.03.010 Lenzen, 2007, Shared producer and consumer responsibility — theory and practice, Ecol. Econ., 61, 27, 10.1016/j.ecolecon.2006.05.018 Manimuthu, 2021, Design and development of automobile assembly model using federated artificial intelligence with smart contract, Int. J. Prod. Res., 1 Moussadek, 2014, Tillage system affects soil organic carbon storage and quality in Central Morocco, Appl. Environ. Soil Sci., 2014, 1, 10.1155/2014/654796 Mathews, 2016, Global trade and promotion of cleantech industry: a post-paris agenda, Clim. Pol., 17, 102, 10.1080/14693062.2016.1215286 Nafil, 2020, Comparative study of forecasting methods for energy demand in Morocco, Energy Rep., 6, 523, 10.1016/j.egyr.2020.09.030 Neira, 2018, Energy use and carbon footprint of the tomato production in heated multi-tunnel greenhouses in Almeria within an exporting agri-food system context, Sci. Total Environ., 628, 1627, 10.1016/j.scitotenv.2018.02.127 Ntinas, 2017, Carbon footprint and cumulative energy demand of greenhouse and open-field tomato cultivation systems under Southern and Central European climatic conditions, J. Clean. Prod., 142, 3617, 10.1016/j.jclepro.2016.10.106 Payen, 2015, LCA of local and imported tomato: an energy and water trade-off, J. Clean. Prod., 87, 139, 10.1016/j.jclepro.2014.10.007 Parashar, 2020, Modelling the enablers of food supply chain for reduction in carbon footprint, J. Clean. Prod., 275, 10.1016/j.jclepro.2020.122932 Poore, 2018, Reducing food's environmental impacts through producers and consumers, Science, 360, 987, 10.1126/science.aaq0216 Ramanathan, 2014, The role of collaboration in the UK green supply chains: an exploratory study of the perspectives of suppliers, logistics, and retailers, J. Clean. Prod., 70, 231, 10.1016/j.jclepro.2014.02.026 Rai, 2021, Machine learning in manufacturing and industry 4.0 applications, Int. J. Prod. Res., 59, 4773, 10.1080/00207543.2021.1956675 Salghi, 2012, Pesticide residues in tomatoes from greenhouses in Souss massa valley, Morocco, Bull. Environ. Contam. Toxicol., 88, 358, 10.1007/s00128-011-0503-9 Sarkar, 2016, Effect of variable transportation and carbon emission in a three-echelon supply chain model, Transport. Res. E Logist. Transport. Rev., 91, 112, 10.1016/j.tre.2016.03.018 Seuring, 2008, From a literature review to a conceptual framework for sustainable supply chain management, J. Clean. Prod., 16, 1699, 10.1016/j.jclepro.2008.04.020 Shaw, 2016, Low carbon chance constrained supply chain Network design problem: a benders decomposition based approach, Comput. Ind. Eng., 98, 483, 10.1016/j.cie.2016.06.011 Shaw, 2012, Modeling a low-carbon garment supply chain, Prod. Plann. Control, 24, 851 Subramanian, 2021, Mapping the food waste-energy-water-emissions nexus at commercial kitchens: a systems approach for a more sustainable food service sector, J. Clean. Prod., 301, 10.1016/j.jclepro.2021.126856 Sundarakani, 2010, A sustainable green supply chain for globally integrated networks, Enterprise Networks and Logistics for Agile Manufacturing, 191, 10.1007/978-1-84996-244-5_9 Tang, 2015, Low carbon logistics: reducing shipment frequency to cut carbon emissions, Int. J. Prod. Econ., 164, 339, 10.1016/j.ijpe.2014.12.008 Walling, 2020, Greenhouse gas emissions from inorganic and organic fertilizer production and use: a review of emission factors and their variability, J. Environ. Manag., 276, 10.1016/j.jenvman.2020.111211 Weindl, 2015, Livestock in a changing climate: production system transitions as an adaptation strategy for agriculture, Environ. Res. Lett., 10, 10.1088/1748-9326/10/9/094021 Wirsenius, 2010, How much land is needed for global food production under scenarios of dietary changes and livestock productivity increases in 2030?, Agric. Syst., 103, 621, 10.1016/j.agsy.2010.07.005