Explaining Migration: Brief Overview of Selected Theories

Jakub Bijak ()
Additional contact information
Jakub Bijak: School of Social Sciences, Centre for Population Change and S3RI, University of Southampton

Chapter Chapter 3 in Forecasting International Migration in Europe: A Bayesian View, 2011, pp 37-51 from Springer

Abstract: Abstract Attempts to synthesise knowledge on population movements in the form of a coherent theory date back to migration laws of Ravenstein (1885; 1889). Ravenstein generalised observations on internal migration in Great Britain and found that the intensity of the process was influenced by several factors: distance, population size of the origin and destination regions, absorption capacities of the latter, sex of migrants, etc. Although he found the rural-urban flows to be dominant, he also acknowledged the presence of return migration. Concerning the twentieth century followers of Ravenstein, the efforts to develop a theoretical framework of migratory phenomena have been made by the representatives of various disciplines of science, including sociology, economics, and human geography.

Keywords: International Migration; Wage Differential; Destination Country; Return Migration; Relative Deprivation (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:ssdmcp:978-90-481-8897-0_3

Ordering information: This item can be ordered from
http://www.springer.com/9789048188970

DOI: 10.1007/978-90-481-8897-0_3

Access Statistics for this chapter

More chapters in The Springer Series on Demographic Methods and Population Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().