| Summary: | he Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) predicts global sea level to rise (SLR) by up to 60 cm by 2100 in response to ocean warming and glaciers melting. Moreover, it is expected that sea level rise might be of 1 meter or more in 2100 due to recent identified accelerated decline of polar ice sheet mass. This global rise of sea level will contribute to increased coastal inundation and erosion, ecosystem losses, saltwater intrusion on surface and groundwater across different regions. Regionally, sea level rise will depart from the global mean trend due to a range of meteorological, oceanographic and geological effects (Nicholls, 2002). Without proper mitigation and adaptation strategies, economic consequences of SLR could be immense depending on local and regional socio-economic and geographical conditions. Hence, the objective of this paper is to examine, analyze and understand the economic implications of sea level rise for different regions.The GEMINI-E3, a recursive dynamic general equilibrium model, is used in this paper to analyze the economic consequences of sea level rise for different regions. As most CGE models, GEMINI-E3 simulates all relevant markets, domestic and international, considered as perfectly competitive, which implies that the corresponding prices are flexible: markets for commodities (through relative prices), for labor (through wages), for domestic and international savings (through rates of interest and exchange rate). Time periods are linked in the model through endogenous real rates of interest determined through the balancing of saving and investments. Database required for the GEMINI-E3 model are taken from various sources mainly from Global Trade Analysis (GTAP) 6 database, UN population database, International Monetary Fund (IMF) government statistics, Organization for Economic Co-operation and Development (OECD) government revenue statistics, International Energy Agency (IEA) energy prices and taxes. Climate variable (global mean ...
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