Accounting for social impacts in supply chain analysis is of increasing importance. Global trade has increased significantly since 1970, as has inequality. As global supply chains have become more prevalent, the need to understand and analyse these supply chains has also grown. Excellent work on quantitative analysis of environmental impacts in supply chains has taken place in the past two decades. However, relatively few methodologies have been applied to quantitative analysis of social impacts in supply chains. This thesis considers how social indicators for supply chain analysis can be developed through the use of socially extended multi-regional input-output analysis. Chapter 1 provides an introduction and context. Chapter 2 considers the history of social accounting. Chapter 3 looks at quantitative accounting for social-economic indicators and the development of national accounts, particularly in reference to standardised collection of data for social-economic indicators and socially-extended input- output analysis. Chapter 4 presents a case study of coltan mining and methodological analysis using deaths in the Democratic Republic of Congo as a social indicator for the electronics supply chain. Chapter 5 analyses the results of the same case study and considers how enumerating social impacts in upstream supply chains can influence environmental and social justice actions in downstream supply chains. Chapter 6 provides a review of input-output analysis used as a tool for analysing consumption since 2010. Chapter 7 proposes the use of a suite of quantitative social indicators for analysis in the form of a social footprint. Chapter 8 provides a conclusion. This thesis tracks the author’s interest in understanding social impacts in global supply chains and proposes a social footprint for supply chain analysis using the multi-regional input output methodology
