Social Assessment In AgBalance®

SEEbalance® asseses relevant findings about the social impacts of products and process alternatives. Social criteria and objectives – such as education, health or working conditions – are becoming increasingly important which is why these factors are also addressed by the UN Sustainable Development Goals (SDGs).

SEEbalance® aims to undertake the complex translation of social aspects into values, numbers and information. If required by the scope and goal of an AgBalance study a social analysis is conducted applying the SEEbalance® methodology.

The Social Analysis is built on two pillars: Social Life Cycle Assessment and Social Hot Spot Assessment. Either only one of these methods or both methods can be used in parallel, depending of the study.

More information on how a social assessment is conducted in AgBalance, can be found in the technical documentation below.

More information about SEEbalance at BASF can be found here.

Social Life Cycle Assessment

The system boundary approach chosen for the analyzed cultivation system in the AgBalance® Model allows to perform additionally a Social Life Cycle Assessment (SLCA) of the applied farming practices within the system boundary. The farming practices like field preparation, planting, field operations and harvesting are rated within 11 impact categories with regard to the workers, local communities and consumer stakeholders1.

Social Hot Spot Analysis

Central social hotspots for the farming practices within the cultivation system boundary can be identified and evaluated within the Social Hotspot Assessment. Via this method it can be highlighted how farming practices and actors conflict with the SDGs.


Social Impact Assessment in AgBalance

Technical documentation

1 Saling, P., Perez, A. A., Kölsch, P., & Grünenwald, T. (2020). Generation, Calculation and Interpretation of Social Impacts with the Social Analysis of SEEbalance®. (Springer, Ed.) in: Traverso M., Petti L., Zamagni A. (eds) Perspectives on Social LCA, SpringerBriefs in Environmental Science. doi:10.1007/978-3-030-01508-4_8, ISBN 978-3-030-06564-5