{"title":"基于优化模型的 DEA-MARCOS 评估欧盟国家实现可持续发展目标的方法","authors":"","doi":"10.1016/j.envsci.2024.103913","DOIUrl":null,"url":null,"abstract":"<div><div>Sustainable development serves as a guiding principle, striving to achieve human development goals while ensuring that natural systems can support essential ecosystem services and resources. The 2030 Agenda for Sustainable Development, accepted by all United Nations Member States in 2015, offers a unifying framework for peace and prosperity for people and the planet, both now and in the future. The Sustainable Development Goals (SDGs) include specific targets and indicators, helping to assess a country's progress towards achieving the goals. To evaluate the EU (European Union) countries' alignment with the SDGs, this study develops a group decision-making approach by integrating DEA (Data Envelopment Analysis), MARCOS (Measurements Alternatives and Ranking according to COmpromise Solution), and an optimization model. A DEA is a highly suitable procedure for evaluating the performance of multiple peer entities, often referred to as Decision-making Units (DMUs) or alternatives. On the other hand, the benefits of MARCOS are: (i) it considers both the ideal (ID) and anti-ideal (AID) scenarios and, (ii) it exemplifies the utility degree of each option in association to ID and AID. Lastly, the combination of cross-entropy and divergence measures effectively deal with the information loss occurred during the determining the weights of considered criteria. Therefore, the proposed hybrid model is more sensible and practical. According to the final results, Austria stands out as the top performer among the EU countries in implementing the SDGs and achieving favorable outcomes.</div></div>","PeriodicalId":313,"journal":{"name":"Environmental Science & Policy","volume":null,"pages":null},"PeriodicalIF":4.9000,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An optimization model-based DEA-MARCOS approach for assessing EU countries towards achieving sustainable development goals\",\"authors\":\"\",\"doi\":\"10.1016/j.envsci.2024.103913\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Sustainable development serves as a guiding principle, striving to achieve human development goals while ensuring that natural systems can support essential ecosystem services and resources. 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On the other hand, the benefits of MARCOS are: (i) it considers both the ideal (ID) and anti-ideal (AID) scenarios and, (ii) it exemplifies the utility degree of each option in association to ID and AID. Lastly, the combination of cross-entropy and divergence measures effectively deal with the information loss occurred during the determining the weights of considered criteria. Therefore, the proposed hybrid model is more sensible and practical. 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引用次数: 0
摘要
可持续发展是一项指导原则,旨在努力实现人类发展目标,同时确保自然系统能够支持基本的生态系统服务和资源。联合国全体会员国于 2015 年接受的《2030 年可持续发展议程》为人类和地球现在和将来的和平与繁荣提供了一个统一的框架。可持续发展目标(SDGs)包括具体的目标和指标,有助于评估一个国家在实现目标方面取得的进展。为评估欧盟(欧洲联盟)国家与可持续发展目标的一致性,本研究通过整合 DEA(数据包络分析)、MARCOS(根据妥协方案的替代方案和排名)和优化模型,开发了一种群体决策方法。数据包络分析是一种非常适合评估多个同级实体(通常称为决策单元(DMU)或备选方案)绩效的程序。另一方面,MARCOS 的优点在于(i)它同时考虑了理想(ID)和反理想(AID)方案,(ii)它举例说明了与 ID 和 AID 相关的每个方案的效用程度。最后,交叉熵和发散度量的结合有效地处理了在确定所考虑标准的权重时出现的信息损失。因此,所提出的混合模型更加合理和实用。根据最终结果,在欧盟国家中,奥地利在实施可持续发展目标并取得良好成果方面表现突出。
An optimization model-based DEA-MARCOS approach for assessing EU countries towards achieving sustainable development goals
Sustainable development serves as a guiding principle, striving to achieve human development goals while ensuring that natural systems can support essential ecosystem services and resources. The 2030 Agenda for Sustainable Development, accepted by all United Nations Member States in 2015, offers a unifying framework for peace and prosperity for people and the planet, both now and in the future. The Sustainable Development Goals (SDGs) include specific targets and indicators, helping to assess a country's progress towards achieving the goals. To evaluate the EU (European Union) countries' alignment with the SDGs, this study develops a group decision-making approach by integrating DEA (Data Envelopment Analysis), MARCOS (Measurements Alternatives and Ranking according to COmpromise Solution), and an optimization model. A DEA is a highly suitable procedure for evaluating the performance of multiple peer entities, often referred to as Decision-making Units (DMUs) or alternatives. On the other hand, the benefits of MARCOS are: (i) it considers both the ideal (ID) and anti-ideal (AID) scenarios and, (ii) it exemplifies the utility degree of each option in association to ID and AID. Lastly, the combination of cross-entropy and divergence measures effectively deal with the information loss occurred during the determining the weights of considered criteria. Therefore, the proposed hybrid model is more sensible and practical. According to the final results, Austria stands out as the top performer among the EU countries in implementing the SDGs and achieving favorable outcomes.
期刊介绍:
Environmental Science & Policy promotes communication among government, business and industry, academia, and non-governmental organisations who are instrumental in the solution of environmental problems. It also seeks to advance interdisciplinary research of policy relevance on environmental issues such as climate change, biodiversity, environmental pollution and wastes, renewable and non-renewable natural resources, sustainability, and the interactions among these issues. The journal emphasises the linkages between these environmental issues and social and economic issues such as production, transport, consumption, growth, demographic changes, well-being, and health. However, the subject coverage will not be restricted to these issues and the introduction of new dimensions will be encouraged.