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.

中文翻译：

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在生命周期评估和决策中通向系统公平的途径：标准化社会人口数据实践

多年来，社会公平一直是一个令人感兴趣的概念，越来越受到能源和环境社区的关注。需要公平开发、收集和报告社会人口数据（例如，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；和平、正义和强大的机构；以及实现目标的伙伴关系）。然而，在能源和环境生命周期评估和决策实践中，相关概念和应用框架尚未得到整合。我们的研究旨在通过巩固有关公平应用的现有知识，提供社会人口数据需求示例，帮助填补这一空白，并提出了一条通向更全面的股权管理的道路。在这篇评论中，我们提出了一个在能源和环境研究以及从业者环境中整合公平的框架，我们称之为系统公平。系统公平需要同时有效地管理资源（即分配公平）、政策（即程序公平），并解决系统边缘化的文化需求（即承认公平）。为了帮助在公平管理不力时提供共同语言和共同理解，我们提出了表面上的公平（即，当资源和政策需求得到满足，但文化需求未得到充分满足时）、理想公平（即，当政策和文化需求得到满足时） ，但资源不足）和剥削公平（即，当资源和文化需求得到满足，但政策不足时）。最后，我们建立了一个自适应的 10 步流程，用于开发标准的社会人口数据实践。系统性公平框架和 10 步流程可用于其他从业者和研究团体。尽管如此，能源和环境科学家应该与跨学科利益相关者合作，紧急管理这个框架和过程。