ABSTRACT
This chapter tests whether geographical, socioeconomic, and political factors, such as states’ vulnerability to climate change related health risks, their economic health, population size, political regime type, and the influence of international organizations and epistemic communities, effect how states recognize and adapt to health risks associated with climate change. Utilizing global indices from the World Bank, Notre Dame University, Transparency International, as well as my own indices, multiple regression analyses were run to test how the respective factors affect the performance of states on the CHAIn and its respective sub-indices. The results confirm the Sieve Model of Health Adaptation to climate change, especially with regards to the strong influence of international organizations and epistemic communities on states’ general performance on the CHAIn and particularly their adaptation-level measures.
