As the world races towards achieving net zero carbon emissions, the term ‘green jobs’ has become more than just a buzzword — it’s at the heart of our future economy. But what do we really mean by green jobs? Where are these jobs located, who holds them, and how can data help us plan for a greener, fairer future?
We’re excited to announce the publication of Dr. Damian Whittard‘s Data Explained: Green Jobs — the latest in ADR UK’s Data Explained series, breaking down how data can be used to address the UK’s most pressing policy challenges.
What does the Data Explained explore?
This new Data Explained sheds light on how administrative data- data collected by government and public sector organisations- can be used to better define, measure, and understand green jobs across the UK. This Data Explained explores:
- Why defining ‘green jobs’ is more complicated than it seems
- The role of official data in shaping green skills policies
- Case studies from across the UK demonstrating data-driven insights
- Future opportunities for research and policymaking using linked administrative data
Why this matters
Building a green economy isn’t just about renewable energy or electric vehicles; it’s about the people who will drive that transformation. Policymakers need reliable evidence to target investment, design training programmes, and ensure that no community is left behind in the shift to a greener future.
Administrative data provides a rich, underused resource for answering these questions, and this Data Explained shows us how.
Who should read it?
This publication is essential reading for:
- Policymakers and civil servants working on climate, skills, or employment
- Researchers studying the green economy or labour market transitions
- Journalists and communicators making sense of green job trends
- Anyone interested in how data can help us build a better, fairer future
Read it here.
Read the full publication here:
Data Explained: Green Jobs
For more information on this work, check out Damian’s project page here for publications and past presentations.