A Path Toward Systemic Equity in Life Cycle Assessment and Decision-Making: Standardizing Sociodemographic Data Practices.

IF 1.8 4区 环境科学与生态学 Q4 ENGINEERING, ENVIRONMENTAL Environmental Engineering Science Pub Date : 2022-09-01 Epub Date: 2022-09-15 DOI:10.1089/ees.2021.0375
Joe F Bozeman, Erin Nobler, Destenie Nock
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Abstract

Social equity has been a concept of interest for many years, gaining increased focus from energy and environmental communities. The equitable development, collection, and reporting of sociodemographic data (e.g., data related to socioeconomic status, race, and ethnicity) are needed to help meet several of the United Nations Sustainable Development Goals (i.e., Affordable and Clean Energy; Reduce Inequalities; Peace, Justice and Strong Institutions; and Partnerships for the Goals). Yet, there has not been a consolidation of relevant concepts and application framing in energy and environmental life cycle assessment and decision-making practices. Our study aims to help fill this gap by consolidating existing knowledge on relevant equity applications, providing examples of sociodemographic data needs, and presenting a path toward a more holistic equity administration. In this critique, we present a framework for integrating equity in energy and environmental research and practitioner settings, which we call systemic equity. Systemic equity requires the simultaneous and effective administration of resources (i.e., distributive equity), policies (i.e., procedural equity), and addressing the cultural needs of the systematically marginalized (i.e., recognitional equity). To help provide common language and shared understanding for when equity is ineffectively administered, we present ostensible equity (i.e., when resource and policy needs are met, but cultural needs are inadequately met), aspirational equity (i.e., when policy and cultural needs are met, but resources are inadequate), and exploitational equity (i.e., when resource and cultural needs are met, but policies are inadequate). We close by establishing an adaptive 10-step process for developing standard sociodemographic data practices. The systemic equity framework and 10-step process are translatable to other practitioner and research communities. Nonetheless, energy and environmental scientists, in collaboration with transdisciplinary stakeholders, should administer this framework and process urgently.

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在生命周期评估和决策中实现系统公平的途径:社会人口数据标准化实践。
多年来,社会公平一直是一个备受关注的概念,并日益受到能源和环境界的重视。需要公平地开发、收集和报告社会人口数据(如与社会经济地位、种族和民族有关的数据),以帮助实现若干联合国可持续发展目标(即负担得起的清洁能源;减少不平等现象;和平、公正和强有力的机构;以及目标合作伙伴关系)。然而,能源与环境生命周期评估和决策实践中的相关概念和应用框架尚未得到整合。我们的研究旨在通过整合相关公平应用的现有知识、提供社会人口数据需求的实例以及提出实现更全面公平管理的途径,帮助填补这一空白。在这篇评论中,我们提出了一个将公平纳入能源与环境研究和实践环境的框架,我们称之为系统公平。系统公平要求同时有效地管理资源(即分配公平)、政策(即程序公平)和满足系统边缘化人群的文化需求(即认可公平)。为了帮助提供共同的语言和共同的理解,说明什么情况下公平管理无效,我们提出了表面公平(即资源和政策需求得到满足,但文化需求未得到充分满足)、期望公平(即政策和文化需求得到满足,但资源不足)和剥削公平(即资源和文化需求得到满足,但政策不足)。最后,我们建立了一个适应性 10 步流程,用于制定标准的社会人口数据实践。系统公平框架和 10 步流程可转化为其他从业人员和研究团体的方法。不过,能源和环境科学家应与跨学科利益相关者合作,紧急实施这一框架和流程。
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来源期刊
Environmental Engineering Science
Environmental Engineering Science 环境科学-工程:环境
CiteScore
3.90
自引率
5.60%
发文量
67
审稿时长
4.9 months
期刊介绍: Environmental Engineering Science explores innovative solutions to problems in air, water, and land contamination and waste disposal, with coverage of climate change, environmental risk assessment and management, green technologies, sustainability, and environmental policy. Published monthly online, the Journal features applications of environmental engineering and scientific discoveries, policy issues, environmental economics, and sustainable development.
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