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A network-based approach to technology transfers in the context of climate policy

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  • Solmaria Halleck Vega

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Antoine Mandel

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

In light of the urgency of climate change, there is a growing literature on the role of technology transfers and how policy can foster diffusion of climate-mitigation technologies. An important challenge is that the diffusion network is generally unknown. To address this key issue, we propose a systemic method building on the network inference literature. We then apply this approach using data on global diffusion patterns of wind energy technologies since the 1980s. Results show that the network's evolution has been remarkable, consistent with the colossal growth and technological progress in wind power over the past decades and the leading role of European firms and other advanced economies in its development. In the context of climate policy and given the multipolar nature and structural inefficiencies in the network, we also appraise strategies to maximize diffusion of new technologies within developing regions and the potential to build bridges through new modes of cooperation.

Suggested Citation

  • Solmaria Halleck Vega & Antoine Mandel, 2017. "A network-based approach to technology transfers in the context of climate policy," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01483963, HAL.
  • Handle: RePEc:hal:cesptp:halshs-01483963
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    More about this item

    Keywords

    Technology transfers; climate policy; diffusion networks; wind energy; Transferts de technologie; politique climatique; réseaux de diffusion; énergie éolienne;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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