Social Indices
Social conditons are a crucial component of sustainable production
Working and general living conditions are important social criteria that play a crucial role for the assessment of sustainability risks. Examples for social indices are poverty, infant mortality, forced labor, child labor or corruption.
Social data from reputable sources
To provide users with a reliable indication of social risks, GRAS collects available social data from reputable sources that are relevant for sustainability certification of agricultural and forestry products, and integrates them into a comprehensive national Social Factor per country. Social indices include topics such as social and health equity, human rights, labor rights, social responsibility and human adaptation.
GRAS displays sub-regional data
For relevant countries, GRAS additionally displays sub-regional data, for example on the livelihoods of indigenous people or food insecurity risks.
GRAS actively supports the achievement of the Sustainable Development Goals (SDGs) of the United Nation:
GRAS works towards deforestation-free supply chains
Through globally conducted sustainability risk analyses on different stakeholder levels, GRAS works towards deforestation-free supply chains and the conservation of HCV and HCS areas to protect the world’s biodiversity, leading to improvements of living standards of local communities, reduction of poverty, and more equality.
Further, specific goals of the SDGs are recognized within the social components of the GRAS Index through relevant indicators:
- The integrated HDI is based on the dimensions of health, education and standard of living
- Human well-being and nutrition are reflected through the GHI which is part of the GRAS Social Index
- The WGI displays political stability and absence of violence and is integrated in the GRAS Social Index
- By integrating the UNICEF database, GRAS also provides information related to drinking water and sanitation
- The integrated EPI is a good indicator for the quality of life below water and life on land
29 April 2024, EUDRx Launch Webinar: Navigating the EU Regulation on Deforestation-free Products with GRAS
GRAS conducted a comprehensive risk analysis in accordance with German Supply Chain Due Diligence Act (LkSG) for the members of the German Coffee Association
Let’s celebrate: GRAS has successfully launched the GRAS Tool+ for the next level of sustainability analysis
Events: GRAS presented at the Symobio 2.0 status conference
GRAS, a project member of Symobio 2.0, presented its progress in mapping crop-driven deforestation in Indonesia, Malaysia, Brazil, and the Brazilian state of Bahia.
GRAS supports the German Coffee Industry in Complying with the German Supply Chain Due Diligence Law
GRAS innovative platform for palm oil risk assessment
Introduction to ARIA platform the new GRAS service for palm risk assessment.
GRAS presents at the Food Security Standard (FSS) Due Diligence Webinar on the 29th of November 2022
GRAS is part of the Food Security Standard (FSS) Due Diligence Webinar Series, presenting solutions for companies to conduct risk analyses along the supply chain and the progress on the integration of food security criteria into the GRAS Tool.
The Bioeconomy Monitoring Hub
21 Feb 2022 – The SYMOBIO research team is developing systemic monitoring – and a new website, which is being set up as a central platform for bioeconomy monitoring. GRAS will contribute with the expertise in Remote Sensing to the holistic picture of bioeconomy within this research project.
Explore dataset for China and India in the GRAS Tool
23 April 2020 – GRAS Tool is now available for 48 different countries providing relevant information on biodiversity, carbon stock land use change, social indices and fire. Explore the full range of functionalities and datasets within the GRAS Tool.
Thailand, Vietnam and Kenya now available in the GRAS Tool
12 Sept 2019 – Information on biodiversity, land use change, carbon stock and social indices are now available for a total of 46 countries. Access the GRAS Tool and explore its various functionalities and datasets.
