EconPapers    
Economics at your fingertips  
 

On the relationship between corruption and migration: empirical evidence from a gravity model of migration

Marie Poprawe ()

Public Choice, 2015, vol. 163, issue 3, 337-354

Abstract: This paper shows the relationship between corruption and migration. In particular, countries with much corruption are shown to encourage emigration and discourage immigration because they provide worse and unpredictable economic conditions, more insecurity, and a lower quality of life. This hypothesis is confirmed empirically with a cross-sectional dataset with bilateral migration data covering 230 countries. Well-known implications of the gravity model are confirmed here: larger populations, a common language and a common border increase migration, while distance between two countries decreases migration. Furthermore, education, GDP per capita, inflation in the destination country, as well as corruption and education in the origin country can robustly explain migration. Corruption thus appears to be a push factor of migration. Copyright Springer Science+Business Media New York 2015

Keywords: Corruption; Migration; Gravity model; F22; D73 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (48)

Downloads: (external link)
http://hdl.handle.net/10.1007/s11127-015-0255-x (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:kap:pubcho:v:163:y:2015:i:3:p:337-354

Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/11127/PS2

DOI: 10.1007/s11127-015-0255-x

Access Statistics for this article

Public Choice is currently edited by WIlliam F. Shughart II

More articles in Public Choice from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:kap:pubcho:v:163:y:2015:i:3:p:337-354