Climate Negotiation
Climate negotiation research focuses on designing effective international agreements to mitigate climate change, addressing the inherent challenges of collective action and free-riding. Current efforts utilize agent-based modeling, often within frameworks like RICE-N, incorporating multi-agent reinforcement learning and exploring mechanisms like conditional commitments to incentivize cooperation. These models are being refined to better reflect real-world complexities, including regional variations in climate impacts, diverse political structures, and the influence of non-state actors, ultimately aiming to inform the design of more effective and equitable climate policies.
Papers
Improving International Climate Policy via Mutually Conditional Binding Commitments
Jobst Heitzig, Jörg Oechssler, Christoph Pröschel, Niranjana Ragavan, Yat Long Lo
Improving International Climate Policy via Mutually Conditional Binding Commitments
Jobst Heitzig, Jörg Oechssler, Christoph Pröschel, Niranjana Ragavan, Richie YatLong Lo
Explore the possibility of advancing climate negotiations on the basis of regional trade organizations: A study based on RICE-N
Wubo Dai
Dynamic Grouping for Climate Change Negotiation: Facilitating Cooperation and Balancing Interests through Effective Strategies
Yu Qin, Duo Zhang, Yuren Pang
Dynamic Grouping for Climate Change Negotiation: Facilitating Cooperation and Balancing Interests through Effective Strategies
Duo Zhang, Yuren Pang, Yu Qin