Towards reliable national social footprints: refining work-related injury and fatality metrics

Etienne Berthet*, Candy Anquetil-Deck, Konstantin Stadler, Alexis Laurent

*Corresponding author for this work

Research output: Contribution to journalComment/debateResearchpeer-review

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Abstract

Objectives: The objective of this data note is to provide a reliable, comprehensive dataset focusing on work-related injuries and fatalities, broken down by year, country, gender, and economic sector. We aim to fill a significant gap in sustainability models, specifically in metrics concerning occupational health. Although the data is compatible with any Multi-Regional Input–Output (MRIO) model, it is primarily designed for integration with the EXIOBASE model. The dataset seeks to broaden MRIO models’ capabilities in social impact assessments and national social footprint evaluations. Ultimately, this resource aims to offer a holistic tool for researchers and policymakers, enabling more thorough assessments of international trade flows, Global Value Chains (GVC), and national policies across both environmental and social dimensions.

Data description:
Our dataset enriches the EXIOBASE model with updated fatality statistics from World Health Organization (WHO) and Eurostat databases, covering the years 2008 to 2019. It provides detailed data on work-related fatal injuries by country, gender, and economic sector. With its broad applicability, this dataset stands to influence research and policy across multiple disciplines. It offers valuable insights for studies on global social impacts, policy economics, and the real effects of global value chains, among other research areas.

Original languageEnglish
Article number47
JournalDiscover Sustainability
Volume5
Issue number1
Number of pages6
DOIs
Publication statusPublished - 2024

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