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dc.rights.licenseopenen_US
dc.contributor.authorDRAGICEVIC, Arnaud Z.
hal.structure.identifierBordeaux Sciences Economiques [BSE]
dc.contributor.authorPEREAU, Jean-Christophe
IDREF: 086314629
dc.date.accessioned2024-03-18T16:14:36Z
dc.date.available2024-03-18T16:14:36Z
dc.date.issued2024-03-12
dc.identifier.issn0165-1587en_US
dc.identifier.urioai:crossref.org:10.1093/erae/jbae001
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/188845
dc.description.abstractEnAbstract This paper examines the effectiveness of climate pledges and eco-taxation as strategies for mitigating climate change within a networked agricultural supply chain organisation. We utilise variational inequality techniques within a multicriteria decision-making framework and validate our theoretical findings through numerical simulations using a machine learning augmented algorithm. By employing this approach, we position the Agricultural Sector Roadmap, aimed at capping global warming at 1.5°C, within the wider agricultural sector’s climate action framework. Our results demonstrate that environmental taxation emerges as the most effective approach for addressing climate change. Eco-taxation leads to a 57.87 per cent reduction in global emissions, whereas climate pledges only account for a 20.59 per cent reduction at the same level of production. Furthermore, eco-taxation results in a 45.68 per cent greater reduction in emission intensity compared to climate pledges. In contrast to climate commitments, an eco-fiscal policy is capable of achieving the objectives established by the European Union.
dc.language.isoENen_US
dc.sourcecrossref
dc.subject.enAgricultural economics
dc.subject.enNetwork economics
dc.subject.enVariational inequality
dc.subject.enSupply chain
dc.subject.enGHG emissions
dc.subject.enCooperatives
dc.subject.enClimate pledge
dc.subject.enEco-taxation
dc.title.enComparing climate pledges and eco-taxation in a networked agricultural supply chain organisation
dc.typeArticle de revueen_US
dc.identifier.doi10.1093/erae/jbae001en_US
dc.subject.halSciences de l'Homme et Société/Economies et financesen_US
dc.subject.jelC - Mathematical and Quantitative Methods::C6 - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling::C61 - Optimization Techniques; Programming Models; Dynamic Analysisen_US
dc.subject.jelC - Mathematical and Quantitative Methods::C6 - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling::C63 - Computational Techniques; Simulation Modelingen_US
dc.subject.jelC - Mathematical and Quantitative Methods::C7 - Game Theory and Bargaining Theory::C72 - Noncooperative Gamesen_US
dc.subject.jelL - Industrial Organization::L1 - Market Structure, Firm Strategy, and Market Performance::L11 - Production, Pricing, and Market Structure; Size Distribution of Firmsen_US
dc.subject.jelL - Industrial Organization::L1 - Market Structure, Firm Strategy, and Market Performance::L14 - Transactional Relationships; Contracts and Reputation; Networksen_US
dc.subject.jelQ - Agricultural and Natural Resource Economics; Environmental and Ecological Economics::Q1 - Agriculture::Q13 - Agricultural Markets and Marketing; Cooperatives; Agribusinessen_US
bordeaux.journalEuropean Review of Agricultural Economicsen_US
bordeaux.page1-45en_US
bordeaux.hal.laboratoriesBordeaux Sciences Economiques / Bordeaux School of Economics (BSE) - UMR 6060en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.institutionINRAEen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcedissemin
hal.identifierhal-04510138
hal.version1
hal.date.transferred2024-03-18T16:14:37Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
workflow.import.sourcedissemin
dc.rights.ccPas de Licence CCen_US
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