Here green patents classified according to technological domains (data from EPO).
- increasing steadily since 2000 (after 2015 the decrease is due to delays in reporting).
- but country-specific tech development pattern (strongholds or preferred areas)
We used a mixed-methods approach: quantitative (patent analysis) and qualitative (interviews). I was not used to any of those so...it wasn't easy.
Why the patents? Because it's a proxy for innovation, and it's relatively good data. Very organised, very structured, quite easy to retrieve (after you learn some SQL...)
So we got data for all the patents submitted in 2000–2017 in the Nordic countries: 🇩🇰, 🇫🇮, 🇳🇴, and 🇸🇪 and selected the "green" ones based on an existing classification (Haščič & Migotto, 2015).
So why is it difficult to get more green tech? 🤔Why shortening the distance from their early conception to their large-scale adoption and upscaling remains a serious challenge?🤔We wanted to find out.
Note: there have been entire books on the topic of tech innovation and development, but we wanted an empirical study on the nordics.
Because: the nordic countries are often taken as leaders in environmental innovation - so...it would be interesting to see what happens there...
(parenthesis:
Green technology = "a tech considered environmentally friendly based on its production process or supply chain"
We chose it to match the “green growth” term and among various synonymous (“environmental technology,” “green tech” and “cleantech”...))
In this study we started from a simple premise: achieving a "green growth" means relying A LOT on technological solutions to decouple growth and emissions — but evidence shows that bringing new "green" technologies to the market is actually not so easy...🤔
First, this is the result of the work done under the NOWAGG project that run between 2017-19.
Yes, it took a long time to publish results, but better late than never...🤷♂️
Here’s the CCC report that Piers refers to.
https://www.theccc.org.uk/publication/voluntary-carbon-markets-and-offsetting/
Presentation will be shared by the network but here a couple of reflection slides on 1) the different meanings of "prospective" in this context and 2) how the challenge is not using the conseq. approach as such, but it's about addressing the uncertainty.
In less than two hours I will present to the #prospective #lifecycleassessment network a sort of "gallery" of recent consequential studies of emerging techs - done at @aautech with several collaborators (all ECR). Highlighting challenges and solutions. You can join for free 👇
Hi, great you landed here
I am a #researcher in #Sustainability and #Professor at the #University of #Aalborg (AAU)
My research domain is #IndustrialEcology, I am working with #LifeCycleAssessment of #emerging #technologies. Focus on #uncertainty analysis.
Toots on #environment #climate #research and peak #academia.
Also #Blogger , reader, #openwater swimmer, alto player....Born in 🇮🇹, living in 🇩🇰, European🇪🇺