Syrian refugees in Lebanon: a spatial study

Casto Montero Kuscevic and Hossein Radmard

Applied Economics Letters, 2020, vol. 27, issue 5, 417-421

Abstract: 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.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2019.1623862 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:apeclt:v:27:y:2020:i:5:p:417-421

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20

DOI: 10.1080/13504851.2019.1623862

Access Statistics for this article

Applied Economics Letters is currently edited by Anita Phillips

More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().