The contribution of technological diffusion to climate change mitigation: a network-based approach
| Autor: | Antoine Mandel, Dan-Xia Wang, Solmaria Halleck Vega |
|---|---|
| Přispěvatelé: | Centre d'économie de la Sorbonne (CES), Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Paris School of Economics (PSE), École des Ponts ParisTech (ENPC)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-École des hautes études en sciences sociales (EHESS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Atmospheric Science
Global and Planetary Change 010504 meteorology & atmospheric sciences Emerging technologies business.industry Computer science 0208 environmental biotechnology 02 engineering and technology Environmental economics [SHS.ECO]Humanities and Social Sciences/Economics and Finance 7. Clean energy 01 natural sciences 020801 environmental engineering Renewable energy Climate change mitigation Diffusion process 13. Climate action 11. Sustainability Parametric model Life Science Diffusion (business) business Centrality 0105 earth and related environmental sciences |
| Zdroj: | Climatic Change Climatic Change, Springer Verlag, 2020, 160, pp.609-620. ⟨10.1007/s10584-019-02517-3⟩ Climatic Change 160 (2020) 4 Climatic Change, 160(4), 609-620 |
| ISSN: | 0165-0009 1573-1480 |
| DOI: | 10.1007/s10584-019-02517-3⟩ |
| Popis: | International audience; We propose a novel approach to quantify the contribution of technological diffusion to climate change mitigation. First, we use a parametric model of epidemic diffusion to estimate from micro-level data the determinants and the structure of the networks of diffusion for three key mitigation technologies: electro-mobility, renewable energy and agriculture. We then simulate the propagation of new technological vintages on these networks and quantify the reduction of emissions induced by the diffusion process using a tailored feedback centrality measure labelled “emission centrality”. Finally, we investigate how new forms of international collaboration such as climate clubs can contribute to mitigation by catalysing the adoption of new technologies. Our approach can be used directly to measure the contribution of technological diffusion to mitigation or indirectly by providing estimates of global technological diffusion to integrated assessment models. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink