SOURCE-LINKED INTELLIGENCE

The Politicization of Low-Carbon Technologies

CORDIS · observation · Publication date unknown

ies, responsible for 80% of GHG emissions: 1. PolTech constructs a politicization index for 15-20 key LCTs by applying natural language processing to media and parliamentary speeches; 2. PolTech uses machine learning to generate new datasets on LCT policy design and econometrics to study how politicization shapes LCT policy, adoption, and industry trends across countries. This is complemented by case studies on green industrial policies in the EU, US, India, and China; 3. PolTech assesses with quasi-experiments how LCT investments feed back into later politicization, voting behaviour and policy design. In sum, PolTech develops a novel theory of technology politics, testing it with new datasets and comparative analyses, to derive context-specific strategies for accelerating LCT adoption. Climate Change Mitigation; Low-Carbon Technologies; Politicization; Technology Politics; Technology Traits; Institutional Context; Comparative Mixed-Method Research Design; OECD and G20 Countries; Natural Language Processing; Machine Learning; Panel Regression; Multilevel Event History Analysis; Quasi

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recordType

award

status

SIGNED

region

EU

value

1746875

unit

EUR