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Enhancing Climate Cooperation through Technology Strategies in India and China

This project focuses on technology-oriented cooperation and strategies in India and China to reinforce the EU dialogue with developing countries on climate change mitigation. Tasks include designing upper-level games, using OBOT for solving variational inequalities, and developing global emission scenarios. Participants will evaluate payoffs and welfare gains through strategic non-cooperative games, aiming to enhance policy implications for effective climate action.

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Enhancing Climate Cooperation through Technology Strategies in India and China

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  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

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