DEA-based index systems for addressing the United Nations’ SDGs

IF 4.9 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Science & Policy Pub Date : 2024-11-18 DOI:10.1016/j.envsci.2024.103950

Vincent Charles, Ali Emrouznejad

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引用次数: 0

Abstract

The Sustainable Development Goals (SDGs) represent a global commitment to tackling pressing challenges such as poverty, inequality, and environmental degradation by 2030. This special issue focuses on applying Data Envelopment Analysis (DEA) as a tool for measuring and benchmarking progress towards these goals across various sectors. DEA, known for its capacity to handle multiple dimensions of performance, offers a comprehensive framework for assessing the efficiency of different systems in achieving sustainability targets. The 16 papers included in this issue are organised into three thematic sections: Sustainable Efficiency in Resource Management, Environmental and Energy Efficiency for Sustainability, and Governance, Policy, and Social Dimensions of SDG Implementation. Each section explores the application of DEA to key areas such as water management, energy use, waste management, public transport, and governance, providing insights into how DEA-based index systems can drive progress toward achieving the SDGs. The issue also sets a future research agenda, highlighting the need for expanding DEA applications across underrepresented regions and sectors, addressing data challenges, and incorporating dynamic and behavioural factors into DEA models. This collection of papers provides valuable contributions to academics, policymakers, and practitioners working to advance global sustainability efforts.

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基于 DEA 的指数系统，用于实现联合国可持续发展目标

可持续发展目标（SDGs）是到 2030 年解决贫困、不平等和环境退化等紧迫挑战的全球承诺。本特刊重点介绍数据包络分析（DEA），将其作为衡量和基准衡量各部门实现这些目标进展情况的工具。数据包络分析以其处理多方面绩效的能力而著称，为评估不同系统在实现可持续发展目标方面的效率提供了一个全面的框架。本期收录的 16 篇论文分为三个专题部分：资源管理中的可持续效率、可持续发展的环境和能源效率以及可持续发展目标实施的治理、政策和社会维度。每个部分都探讨了 DEA 在水管理、能源利用、废物管理、公共交通和治理等关键领域的应用，深入探讨了基于 DEA 的指标体系如何推动实现可持续发展目标。本期还制定了未来的研究议程，强调需要在代表性不足的地区和部门扩大 DEA 的应用，应对数据挑战，并将动态和行为因素纳入 DEA 模型。本论文集为致力于推进全球可持续发展工作的学者、政策制定者和从业人员提供了宝贵的资料。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Environmental Science & Policy 环境科学-环境科学

CiteScore

10.90

自引率

8.30%

发文量

332

审稿时长

68 days

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.