By Anna Bychkova

Abstract: Why do some actors securitize climate change, and do other actors securitize in response? Through what methods is the norm of climate securitization diffused, and what factors influence the diffusion? This study seeks to answer these questions specifically through how proximity to the UNSC influences processes of norm diffusion of climate securitization through learning and emulation as well as agenda control. As states and IOs increase in proximity to the UNSC, more flow of information is expected to occur, and the norm of climate securitization spreads through learning and emulation. Additionally, states and IOs in proximity to the UNSC will be more hesitant to securitize as they fear the loss of agenda control and power to the UNSC. I examine the process of norm diffusion of climate securitization through a Stochastic Actor-Oriented Model (SAOM) network analysis, which produces parameter probabilities for the likelihood of securitization and is measured through text analysis of climate policy decisions. My study has important implications for climate compliance, securitization, and equitable climate policy.