Located in rural Cheshire, UK, Ashton Hayes is a well-knit community of about 1000 people that is aiming to become England’s first carbon neutral community. The village started its journey in January 2006 and since then has already cut its carbon dioxide emissions significantly – by working together, sharing ideas and through behavioural change. It now has its own community owned renewable energy company.
The HEL-LO! Climate Calling series is a joint British-Finnish podcast that uncovers the world of climate diplomacy. What happens behind the scenes in global climate conferences? What do pub quizzes or Finnish footballer Teemu Pukki have to do with reducing global CO2 emissions?
The Embassy of Finland in London and the British Embassy in Helsinki joined forces to produce a four-part podcast series with episodes focusing on climate diplomacy, climate justice, cities and communities and circular economy. This podcast is your guide to truly understanding COP26, UN’s Climate Change Conference, due to take place in Glasgow in November 2021.
Ashton Hayes Going Carbon Neutral is featured in the fourth and final episode that focuses on how small communities are making a difference to the big picture, with the mayor of the northern town of Ii, Ari Alatossava, and project founder, Garry Charnock.
The other episodes:
The first episode takes a sneak peek into the unknown world of climate diplomacy. Finnish Ambassador for Climate Change, Jan Wahlberg, and UK Government’s COP26 Envoy, John Murton, steer the listener behind the scenes of global climate conferences.
In the second episode, the focus is on climate justice, with Finnish Chief Negotiator for Climate Change, Outi Honkatukia, and the director of the Centre for Climate Change & Social Transformations (CAST) Lorraine Whitmarsh.
The third episode sheds light on the role of circular economy in the fight against climate change. Sitra’s circular economy project director, Kari Herlevi, and Professor John McGeehan from Portsmouth University illustrate why we need smarter economic models.