Syrian refugees in Lebanon: a spatial study

Casto Martin  Montero Kuscevic; Hossein Radmard

doi:10.1080/13504851.2019.1623862

Syrian refugees in Lebanon: a spatial study

Casto Martin Montero Kuscevic, Hossein Radmard

Economics

American University of Beirut

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	417-421
Number of pages	5
Journal	Applied Economics Letters
Volume	27
Issue number	5
Early online date	4 Jun 2019
DOIs	https://doi.org/10.1080/13504851.2019.1623862
Publication status	Published - 2020

Bibliographical note

Acknowledgments
We thank the Editor and anonymous referee for their constructive feedback. Also, we are thankful to our research assistant, Reem Zaiour, for invaluable help.

Data Availability Statement

No data availability statement.

Keywords

Syria
refugee
Lebanon
spatial econometrics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1080/13504851.2019.1623862Licence: Unspecified

Cite this

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title = "Syrian refugees in Lebanon: a spatial study",

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{\textquoteright} 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.",

keywords = "Syria, refugee, Lebanon, spatial econometrics",

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note = "Acknowledgments We thank the Editor and anonymous referee for their constructive feedback. Also, we are thankful to our research assistant, Reem Zaiour, for invaluable help.",

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AU - Montero Kuscevic, Casto Martin

AU - Radmard, Hossein

N1 - Acknowledgments We thank the Editor and anonymous referee for their constructive feedback. Also, we are thankful to our research assistant, Reem Zaiour, for invaluable help.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

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KW - refugee

KW - Lebanon

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U2 - 10.1080/13504851.2019.1623862

DO - 10.1080/13504851.2019.1623862

M3 - Article

SN - 1350-4851

VL - 27

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EP - 421

JO - Applied Economics Letters

JF - Applied Economics Letters

IS - 5

ER -

Syrian refugees in Lebanon: a spatial study

Abstract

Bibliographical note

Data Availability Statement

Keywords

UN SDGs

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