Advertisement

Conclusion

  • Ali Alsamawi
  • Darian McBain
  • Joy Murray
  • Manfred Lenzen
  • Kirsten S. Wiebe
Chapter
Part of the Environmental Footprints and Eco-design of Products and Processes book series (EFEPP)

Abstract

In this work we have used a Multi-Regional Input-Output table coupled with satellite accounts that hold information about employment, income, occupational health and safety, poverty, unemployment, and others to calculate so called Social Footprints of Nations. Social footprints can play an important role in illustrating the impact of international trade on social indicators within countries.

Keywords

Corporate Social Responsibility Fair Trade Social Indicator Agriculture Sector Global Reporting Initiative 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Alsamawi, A., Murray, J., Lenzen, M., Moran, D., & Kanemoto, K. (2014). The inequality footprints of nations: A novel approach to quantitative accounting of income inequality. PLoS ONE, 9(10), e110881. doi: 10.1371/journal.pone.0110881 CrossRefGoogle Scholar
  2. Simas, M. S., Golsteijn, L., Huijbregts, M. A. J., Wood, R., & Hertwich, E. G. (2014). The “bad labor” footprint: quantifying the social impacts of globalization. Sustain., 6, 7514–7540. doi: 10.3390/su6117514 CrossRefGoogle Scholar
  3. UNEP (2009): Guidelines for Social Like Cycle assessment of Products, UN Environment Program, Life Cycle Initiative, Working Group on Social Impacts in LCA.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  • Ali Alsamawi
    • 1
  • Darian McBain
    • 2
  • Joy Murray
    • 1
  • Manfred Lenzen
    • 1
  • Kirsten S. Wiebe
    • 3
  1. 1.School of PhysicsUniversity of SydneySydneyAustralia
  2. 2.Sustainable DevelopmentThai Union GroupBangkokThailand
  3. 3.Department of Energy and Process EngineeringNorwegian University of Science and TechnologyTrondheimNorway

Personalised recommendations