Alternative Types of Ambiguity and their Effects on Climate Change Regulation.

Area of Science:

• Environmental economics
• Climate policy analysis
• Decision theory

Background:

• Climate change regulation faces challenges due to inherent uncertainties.
• Interactions between decision-makers, experts, and society introduce complex dynamics.
• Two key types of ambiguity, deferential and preferential, are identified as critical factors.

Purpose of the Study:

• To analyze the impact of deferential and preferential ambiguity on greenhouse gas (GHG) emissions.
• To investigate how these ambiguities influence the formation of environmental policy.
• To understand the probabilistic effects arising from agent interactions in climate regulation.

Main Methods:

• Analysis of agent interactions: decision-maker (DM), climate experts, and society.
• Examination of two distinct ambiguity types: deferential and preferential.
• Probabilistic modeling of greenhouse gas (GHG) emissions and policy outcomes.

Main Results:

• Deferential ambiguity, concerning expert forecast selection by the DM, affects policy.
• Preferential ambiguity, related to discerning societal preferences, also impacts policy.
• Both ambiguity types significantly alter the probabilistic properties of GHG emissions and policy formation.

Conclusions:

• The presence of deferential and preferential ambiguities introduces significant complexities into climate change regulation.
• Effective environmental policy must account for these specific types of uncertainty.
• Addressing these ambiguities is essential for robust and successful GHG emissions management.