We have been working with the Department for Business and Trade (DBT) to show how data science techniques can enable and enhance the analysis of global supply chains.
Read more on Using Natural Language Processing for the analysis of global supply chains
We go behind our analysis on the use of microdata for the examination of preference tariff utilisation and take a deep dive into challenges of drawing together new administrative data sources to answer relevant policy questions.
Read more on The use of microdata for firm-level analysis of preference tariff utilisation in the UK: technical report
We show how shipping instructions can be used to map the trade routes of critical goods. This will help understand our reliance on global ports for accessing specific products, and draw insights on the impact of important events such as strikes.
Read more on Using new shipping data to improve government understanding of trade flows
Preference utilisation rates (PURs) measure the extent to which UK businesses make use of the zero or reduced tariffs available via free trade agreements (FTAs). In this work, we study the take-up of preferential tariffs by UK businesses between 2009 and 2019 and examine their trends and patterns.
Read more on Employing data science to analyse the use of preferential tariffs in free trade agreements