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Abstract Human-induced climate change is a global issue leading to various risks such as temperature increase, sea level rise (SLR), extreme weather events and precipitation change. These risks vary considerably in nature, magnitude and spatial extent and may have serious effects on different sectors, which include water resources, agriculture and coastal areas...etc. (Stern. 2006). For example, coastal areas, which tend to have high population density and economic activities are expected to face serious impacts from SLR such as inundation, saltwater intrusion and change in coastal dynamics. Such impacts will lead to people displacement and loss of assets (FitzGerald et al.. 2008). In this respect, the Nile Delta in Egypt is considered one of the most vulnerable areas to the impacts of SLR due to its local topography as subsiding low-lying land and socioeconomic structure. Coastal areas of the Nile delta include major urban centers with high population density and various economic activities, cultivated land, heritage sites, and four lakes, which could lead to significant impacts. SLR is a future cross cutting risk, therefore there is a need for implementing an economic analysis on the Nile Delta potential vulnerability and adaptation to SLR. to derive the best options and to assess the cost and benefits for each. Several studies have been conducted on the Nile Delta to assess its vulnerability to SLR using global or hypothetical scenarios (EL Raey et al., 1995: El Raey. 1997; Frihy. 2003; Frihy et al., 2010: El Shinaw^y et al., 2012: Hassaan. 2013; Hassaan and Abdrabo. 2013). Despite agreeing on the significance of the impacts, they reached different estimates of such impacts and vulnerabilities. However, it should be noted that these assessments were mainly focused on the physical aspects, disregarding their economic implications. Only in some little cases that considered economic implications of SLR on the Nile Delta, the assessment was either focused on one sector or current socio-economic conditions and economic assets (Abdrabo and Hassaan. 2014: Abdrabo et al., 2015). The extent of the Nile Delta potential vulnerability to SLR should be accurately identified, through socio-economic projection of the Nile Delta, applying a |