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Social life cycle assessment: in pursuit of a framework for assessing wood-based products from bioeconomy regions in Germany

  • SOCIAL LCA IN PROGRESS
  • Published:
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Abstract

Purpose

With many policies in Germany steering towards a bioeconomy, there is a need for analytical tools that assess not only the environmental and economic implications but also the social implications of a transition to a bioeconomy. Wood is expected to become a major biomass resource in bioeconomy regions. Therefore, this paper develops a social life cycle assessment (sLCA) framework that can be applied specifically to a wood-based production system in one of Germany’s bioeconomy regions.

Methods

This paper reviews and analyses existing sLCA approaches, in terms of how applicable they are for assessing a wood-based production system in a German bioeconomy regional context. The analysis is structured according to the standard phases of environmental life cycle assessment (LCA). However, we use the term social effects rather than social impacts, to acknowledge the unknown cause–effect relationship between an organisation’s activities and its social impacts. We also consider the establishment of regional system boundaries, as well as the relationship between the social effects and the product being assessed. Additionally, an approach for the development and selection of social indicators and indices is outlined. Furthermore, we discuss data requirements and present an approach for a social life cycle impact assessment method.

Results and discussion

A new conceptual framework for a context-specific sLCA to assess wood-based products manufactured in a bioeconomy region was developed. It enables sLCA practitioners to identify “social hotspots” and “social opportunities” from a regional perspective. The location and characteristics of these social hotspots and opportunities can be analysed, in particular, for major production activities in a bioeconomy region in Germany. Therefore, according to this framework, the development of social indices and indicators, the collection of data and the approach used for characterising social effects need to relate to the geographical context of the product being assessed. The proposed framework can, thus, help to identify, monitor and evaluate the social sustainability of wood-based bioeconomy chains in a regional context.

Conclusions

This framework requires a high level of detail in the social inventory and impact assessment phase, in order to assess the regional foreground activities in a German wood-based bioeconomy region. It enables sLCA studies to identify which social hotspots and social opportunities occur and where they are located in the wood-based production system of a regional bioeconomy.

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Notes

  1. A forest cluster encompasses raw timber-producing forestry enterprises, processing industries of semi-finished wood, pulp and paper products, and downstream manufacturing industries that provide end consumers with various finished wood and paper products (Kies et al. 2010).

  2. Most social life cycle assessment (sLCA) studies refer to the assessment of impact categories and thus potential social impacts. However, we use the terminology of Macombe et al. (2013) who suggest using the term “social effects” in order to take into account the insufficiently modelled relationships between activities and impacts.

  3. Performance reference points (e.g. average German working week) indicates thresholds, benchmarks or objectives (UNEP-SETAC 2009) developed with regard to a production site’s geographic location and its corresponding industrial sector. (Please see Sect. 4, where we discuss the social life cycle impact assessment, for more details on the suggested PRPs.)

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Acknowledgments

The authors gratefully thank the German Federal Ministry of Education and Research for their financial support.

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Correspondence to Anke Siebert.

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Responsible editor: Catherine Macombe

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Siebert, A., Bezama, A., O’Keeffe, S. et al. Social life cycle assessment: in pursuit of a framework for assessing wood-based products from bioeconomy regions in Germany. Int J Life Cycle Assess 23, 651–662 (2018). https://doi.org/10.1007/s11367-016-1066-0

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