1 / 5

FEEM – WP5 Leader

Technology-Oriented Cooperation and Strategies in India and China: Reinforcing the EU dialogue with Developing Countries on Climate Change Mitigation. FEEM – WP5 Leader. WP 5: EFFECTIVENESS AND ACCEPTABILITY OF TECHNOLOGY-ORIENTED CLIMATE COOPERATION WITH DCS.

makoto
Télécharger la présentation

FEEM – WP5 Leader

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Technology-Oriented Cooperation and Strategies in India and China: Reinforcing the EU dialogue with Developing Countries on Climate Change Mitigation FEEM – WP5 Leader

  2. WP 5: EFFECTIVENESS AND ACCEPTABILITY OF TECHNOLOGY-ORIENTED CLIMATE COOPERATION WITH DCS • Participants: FEEM, ORDE, HKBU, TU, IIMVA, KANLO, EPFL, UCAMB • Coordinator: FEEM • Task 5.1: Design of an Upper-level game with payoff obtained from the combined BU/TD-WITCH model (Task leader: HKBU) • Task 5.2: Implement OBOT to solve variational inequalities (Task leader: ORDE)

  3. Task 5.1: Implement OBOT to solve variational inequalities • Solution method for the VI problem implemented in the OBOT tool. • Very technical task. • To task leader: what will you need from WP participants? • Output: A paper

  4. Task 5.2: Design of an Upper-level game with payoff obtained from the combined BU/TD-WITCH model • Global emission cap (scenarios will be designed in previous WP??) • Strategic non-coop game on burden sharing (regional emission caps) • Multiple solutions (depending on weights) • The coupled WITCH-BU/TD models will serve to evaluate the payoffs in terms of welfare gain (or loss) for each player (region). • Why not using WITCH as it is? • What information will be needed from WP participants to solve upper-level game? • Output: a paper to be presented in final conference?

  5. Task 5.3: Final Run and Policy Implications

More Related