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Transitioning to low-carbon energy is key for reaching carbon neutrality and modernizing our energy systems, but it presents significant cost-related challenges for energy businesses. To foster optimal outcomes, this paper develops a game model including power generators, high-energy businesses, and consumers in the carbon trading framework. The model explores how different entities evolve their low-carbon strategies under social learning influence to optimize utility. Stability analysis of strategy and simulation experiments reveal the following findings: (1) Greater carbon quotas reduce power generators' low-carbon transition willingness while high-energy-consuming enterprises and consumers remain unchanged. (2) Higher prices for low-carbon products offered by high-energy-consuming enterprises boost low-carbon transition motivation across all parties. (3) Increased green premiums enhance revenue for all parties but are constrained by policy and carbon pricing. (4) Both direct and indirect increases in carbon emissions negatively impact the revenue and utility for all stakeholders. (5) Increasing social learning effect fosters a shift towards low-carbon strategies, accelerating the attainment of game equilibrium, and enhancing market stability and sustainability. This research provides decision support for carbon trading policy design and low-carbon transition of energy enterprises. [ABSTRACT FROM AUTHOR]

This paper examines the process for establishing a 'village agreement' using the Kalimantan Forests and Climate Partnership ( KFCP) as a case study. REDD+ is designed as a 'performance-based' mechanism and requires a contractual agreement between the parties involved. Since its implementation will affect the life of forest-dependent communities, it is vital that villagers have sufficient ability to negotiate their interests during the agreement process. This paper investigates the degree of 'social learning' essential for developing actors' capacity to negotiate rules and interests with outsiders involved in the agreement process (between KFCP and the seven villages involved) and how this meshes with notions of 'participation'. It found that while 'social learning' occurred as a result of the well-designed participatory process conducted by KFCP, villagers' ability to secure their interests was influenced by a learning experience accumulated from their previous engagement with several development/conservation projects. This finding contributes to literature by emphasising how historical context plays a significant role in the success of present learning and the efficacy or otherwise of a contractual agreement. Therefore historical aspects should be taken into account in site selection and the design of future REDD+ projects. [ABSTRACT FROM AUTHOR]