Technology Diffusion and Climate Policy: A Network Approach and its Application to Wind Energy
Solmaria Halleck Vega
(1, 2)
,
Antoine Mandel
(3, 1)
Solmaria Halleck Vega
- Fonction : Auteur
- PersonId : 1003498
Antoine Mandel
- Fonction : Auteur
- PersonId : 13007
- IdHAL : antoine-mandel
- ORCID : 0000-0001-7180-950X
- IdRef : 117013714
Résumé
The role of technology transfer in the mitigation of climate change has been strongly emphasized in the recent policy debate. This paper offers a network-based perspective on the issue. First, we propose a methodology to infer from technology adoption data the network of diffusion and apply it to a detailed dataset on wind energy technologies installed globally since the 1980s. We then perform a statistical analysis of the network. It highlights a relatively inefficient organization, characterized in particular by the weakness of South-South links, which leads to relatively long lags in the diffusion process. Against this background, we characterize optimal transfer/seeding strategies for an agent that aims to introduce a new technology in a developing country in view of further diffusion. Our results suggest in particular that CDM projects have been too concentrated in large emerging economies and that developed countries should put a stronger weight on the positive externalities in terms of technology transfer of cooperating with less prominent developing countries.
Domaines
Economies et financesFormat du dépôt | Notice |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
Technology Diffusion and Climate Policy: A Network Approach and its Application to Wind Energy
|
Résumé |
en
The role of technology transfer in the mitigation of climate change has been strongly emphasized in the recent policy debate. This paper offers a network-based perspective on the issue. First, we propose a methodology to infer from technology adoption data the network of diffusion and apply it to a detailed dataset on wind energy technologies installed globally since the 1980s. We then perform a statistical analysis of the network. It highlights a relatively inefficient organization, characterized in particular by the weakness of South-South links, which leads to relatively long lags in the diffusion process. Against this background, we characterize optimal transfer/seeding strategies for an agent that aims to introduce a new technology in a developing country in view of further diffusion. Our results suggest in particular that CDM projects have been too concentrated in large emerging economies and that developed countries should put a stronger weight on the positive externalities in terms of technology transfer of cooperating with less prominent developing countries.
|
Auteur(s) |
Solmaria Halleck Vega
1, 2
, Antoine Mandel
3, 1
1
PSE -
Paris School of Economics
( 301309 )
- 48 boulevard Jourdan 75014 Paris
- France
2
UP1 UFR02 -
Université Paris 1 Panthéon-Sorbonne - École d'économie de la Sorbonne
( 1063812 )
- 90 rue de Tolbiac - 75013 Paris
- France
3
CES -
Centre d'économie de la Sorbonne
( 15080 )
- Maison des Sciences Économiques - 106-112 Boulevard de l'Hôpital - 75647 Paris Cedex 13
- France
|
Nom de la revue |
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Date de publication |
2018-03
|
Date de publication électronique |
2017-12-01
|
Page/Identifiant |
461-471
|
Volume |
145
|
Commentaire |
The authors would like to thank for their comments and suggestions the editor, two anonymous reviewers, Michael Grubb, Jochen Hinkel, Diana Mangalagiu, Katrin Millock, and participants of Advances in the Modelling of Innovation and Finance Workshop, the 6th FAERE Green Innovation Workshop, the European Conference on Climate Adaptation 2017. The usual disclaimer applies. Both authors also acknowledge the support of H2020 project grant GREEN-WIN 642018.
|
Langue du document |
Anglais
|
Domaine(s) |
|
Projet(s) Européen(s) |
|
Mots-clés (JEL) |
|
Mots-clés |
en
Technology transfer, Climate policy, Diffusion networks, Wind energy
|
DOI | 10.1016/j.ecolecon.2017.11.023 |
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