Syrian refugees in Lebanon: a spatial study

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Almost seven years of catastrophic conflict and unrest in Syria have resulted in a colossal flow of the displaced population. According to The United Nation Refugee Agency (UNHCR), by the end of 2016, there were over one million registered Syrian refugees in Lebanon. This means compared to any other host country, Lebanon has the highest rate of refugee per local population. In this paper, we focus on refugees’ placement and residence, which have shown an uneven distribution among different regions of Lebanon. Maps generated by the available data show that districts with high refugee population rates are surrounded by districts with low population rates. Our results indicate that among other variables, access to credit is the most critical variable for explaining this spatial pattern. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.

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C31, Lebanon, O53, R23, Refugee, Spatial econometrics, Syria, Econometrics, Forced migration, Mapping method, Political conflict, Spatial data, Spatial distribution

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