Evaluating the landscape of social assessment methods: integrating the social dimension in sustainability assessment of product value chains

Author:

van Dulmen NinaORCID,Rocha Carlos Felipe Blanco,Toboso-Chavero Susana,Heijungs Reinout,Guinée Jeroen

Abstract

Abstract Purpose We evaluate methodological approaches of different methods that can offer social assessments of product value chains. By analyzing both product-oriented social life cycle assessment (S-LCA) methods and qualitative, organization-, and project-oriented methods, we provide recommendations towards a clearer, harmonized method to better integrate the social dimension into sustainability assessments of products. This could help make S-LCA more analogous to environmental LCA (E-LCA) and more suitable for implementation in frameworks as life cycle sustainability assessment (LCSA). Methods We apply two quantitative S-LCA methods side-by-side with three qualitative social assessment methods on the same case-study of a textile’s value chain. The two quantitative S-LCA methods adopt a quantitative functional unit (FU) approach, use similar data structures and calculation principles as E-LCA and are based on the product social impact life cycle assessment (PSILCA) database. The three qualitative methods applied include two social due diligence approaches — one based on the OECD Due Diligence and UN Guiding Principles for Business and Human Rights and the other on the IFC Performance Standards — and the Subcategory Assessment Method (SAM), a semi-quantitative performance evaluation assessment method based on the UNEP S-LCA Guidelines. Results None of the approaches to S-LCA described in the UNEP S-LCA Guidelines can, at present, fully achieve the equivalent goals and scope of E-LCA, specifically in the social domain. Our evaluation of five social assessment methods, including two S-LCA methods, highlights their significant differences in basic structure and logic. Consequently, results differ considerably in nature, depth, and social aspects covered. Current product-oriented S-LCA approaches encounter important limitations as they require quantifiable aspects, whereas many social impacts are often qualitative in nature. Qualitative, organization-focused methods, conversely, make it difficult to link organizational social performance to specific products. Instead, these methods are typically used for social due diligence on suppliers in the company’s supply chain and cover only a small part of the product’s life cycle. Conclusion For the purpose of computational integration, LCSA frameworks need an S-LCA method with a quantitative FU approach. However, only some S-LCA approaches are able to comply with this requirement, and these will only be able to cover a limited set of scalable quantitative impact indicators. We conclude by emphasizing the equal importance of product-oriented S-LCA and organization-oriented social assessment methods, while appreciating their fundamentally different goals and scopes.

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Springer Science and Business Media LLC

Reference51 articles.

1. Arcese G, Lucchetti MC, Massa I (2017) Modeling social life cycle assessment framework for the Italian wine sector. J Clean Prod 140:1027–1036. https://doi.org/10.1016/j.jclepro.2016.06.137

2. Bennema M, Norris G, Norris CB (2022) The social hotspot database V5. NewEarthB. Retrieved from http://www.socialhotspot.org/

3. Caldeira C, Farcal L, Garmendia Aguirre I, Mancini L, Tosches D, Amelio A, Rasmussen K, Rauscher H, Riego Sintes J, Sala S (2022) Safe and sustainable by design chemicals and materials: framework for the definition of criteria and evaluation procedure for chemicals and materials (978–92–76–53264–4). Retrieved from https://publications.jrc.ec.europa.eu/repository/handle/JRC128591

4. Chhipi-Shrestha GK, Hewage K, Sadiq R (2015) ‘Socializing’ sustainability: a critical review on current development status of social life cycle impact assessment method. Clean Technol Environ Policy 17(3):579–596. https://doi.org/10.1007/s10098-014-0841-5

5. Ciroth A, De Bellis A (2020) Direct quantification of indicators in social LCA (beyond worker hours). https://www.youtube.com/watch?v=aY84nRmbZOo&ab_channel=openLCA Accessed 9 Dec 2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.7亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2025 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3