The contribution of technological diffusion to climate change mitigation: a network-based approach
Antoine Mandel,
Solmaria Halleck Vega and
Dan-Xia Wang
Additional contact information
Solmaria Halleck Vega: Université Paris 1 Panthéon-Sorbonne
Dan-Xia Wang: CNRS
Climatic Change, 2020, vol. 160, issue 4, No 8, 609-620
Abstract:
Abstract 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.
JEL-codes: C61 C63 O33 Q54 Q55 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://link.springer.com/10.1007/s10584-019-02517-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
Working Paper: The contribution of technological diffusion to climate change mitigation: a network-based approach (2020)
Working Paper: The contribution of technological diffusion to climate change mitigation: a network-based approach (2020)
Working Paper: The contribution of technological diffusion to climate change mitigation: a network-based approach (2020)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:climat:v:160:y:2020:i:4:d:10.1007_s10584-019-02517-3
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/10584
DOI: 10.1007/s10584-019-02517-3
Access Statistics for this article
Climatic Change is currently edited by M. Oppenheimer and G. Yohe
More articles in Climatic Change from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().