*** This is the last Carbon Risk article for 2023. I will be back in the first week in January. Thanks again for your support and I wish you all a merry Christmas and a happy New Year ***
*** A couple weeks ago I was interviewed by Monna Dimitrova from Homaio. We talked about my reasoning for launching Carbon Risk, why carbon markets are important and how they can have an environmental impact, plus some of the things I’m watching out for in the future. Please check out the article here ***
The challenge for anyone who was producing content ahead of an important climate summit such as COP28 is standing out from the crowd. Of course, every company, organisation, institution and media outlet is clamouring for attention. But no matter the quality of the work, there are only so many hours in the day to actually read. Amid the cacophony of noise, some nuggets of wisdom are inevitably going to pass by without getting the attention they deserve.
It’s to that end that I felt compelled to highlight one recent piece of analysis that passed under the radar of pretty much everyone, whether that be mainstream media or social media. The report is the first instance I can find that provides a probabilistic approach to forecasting global greenhouse gas (GHG) emissions and the impact on the climate. It’s one that takes account of past performance, rather than a stylised ‘hope-for-the-best’ policy scenario. An approach whose audience is the real world, rather than the arcane world of climate policymakers.
The analysis which will now be updated annually has important implications for carbon market and climate tech investors. For example, the results, perhaps controversially, suggest that we should be devoting a lot more resources to decarbonising the production of oil and gas than we are currently.
Lets dive in.
Keep reading with a 7-day free trial
Subscribe to Carbon Risk to keep reading this post and get 7 days of free access to the full post archives.