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Towards a method for poverty reduction potential in social life cycle assessment with application to the cobalt supply chain
Division of Environmental Systems Analysis, Department of Technology Management and Economics, Chalmers University of Technology, Gothenburg, Sweden.ORCID iD: 0000-0002-9258-0641
Division of Environmental Systems Analysis, Department of Technology Management and Economics, Chalmers University of Technology, Gothenburg, Sweden.ORCID iD: 0009-0007-3338-7124
Swedish National Road and Transport Research Institute, Society, environment and transport, Environment. Division of Environmental Systems Analysis, Department of Technology Management and Economics, Chalmers University of Technology, Gothenburg, Sweden; Department of Technology Analysis and Innovation, Institute of Transport Economics, Oslo, Norway.ORCID iD: 0000-0002-7455-7341
2025 (English)In: The International Journal of Life Cycle Assessment, ISSN 0948-3349, E-ISSN 1614-7502Article in journal (Refereed) Epub ahead of print
Abstract [en]

Purpose

About 8% of the world population lives in extreme poverty. The importance of poverty reduction is acknowledged both in the general sustainability literature and within social life cycle assessment (S-LCA). Existing approaches in S-LCA typically consider the prevalence of poverty, but not how poverty can be reduced. The aim of this paper is therefore to propose a social life cycle impact assessment (S-LCIA) method for poverty reduction potential based on an impact pathway approach.

Methods

The basis of the S-LCIA method proposed is a literature review about poverty reduction, primarily in the field of development economics. Based on this literature, an impact pathway and a quantitative S-LCIA method were developed. The S-LCIA method was then applied to the case of the cobalt supply chain to illustrate its applicability, covering production of cobalt hydroxide in the Democratic Republic of the Congo (DRC) and cobalt sulfate in China.

Results and discussion

The literature review showed that economic growth is the most important factor for poverty reduction and that no country has escaped poverty without economic growth. This suggests that the value added, the process-level contribution to economic growth, is an important product-related parameter for an S-LCIA method on poverty reduction. However, not all growth benefits the poor, and to capture this, the developed method includes parameters accounting for corruption, inequality, and the share of people living below poverty thresholds. The exemplary case study shows that the potential poverty reduction is higher in the DRC than in China, mainly due to the higher value added generated in the DRC and the larger share of people living in poverty.

Place, publisher, year, edition, pages
Springer, 2025.
Keywords [en]
Economic growth, Inequality, Corruption, Democratic Republic of the Congo, Value added
National Category
Economics
Identifiers
URN: urn:nbn:se:vti:diva-21954DOI: 10.1007/s11367-025-02471-6ISI: 001467002700001Scopus ID: 2-s2.0-105003216262OAI: oai:DiVA.org:vti-21954DiVA, id: diva2:1954389
Funder
Swedish Energy Agency, P2019-90074Available from: 2025-04-24 Created: 2025-04-24 Last updated: 2025-04-30Bibliographically approved

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Nordelöf, Anders

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