Page 26 - 5th APA Conference Program Book Final

325 Comparisons in the Drivers of Internal Migration by Education

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1
Guy Abel , Aude Bernard , Raya Muttarak
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1 Asian Demographic Research Institute, Shanghai University, Shanghai, China. School of Earth and
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3
Environmental Sciences, University of Queensland, Brisbane, Australia. World Population Program, International
Institute for Applied Systems Analysis, Laxenburg, Austria
Categories

5. Population Mobility (Internal and International Migration, including Refugees) and Urbanization

Abstract

Age, gender and education are the three largest sources of observable heterogeneity in the study of population.
Understanding these demographic differentials are essential for projecting future population sizes and
compositions (Lutz 2014). Exploiting the harmonized census records in the Integrated Public Use Microdata Series
for 58 countries over the period 1960-2011, we first describe migration intensity by gender and education.
Subsequently, we fit a series of weighted multilevel gravity-type spatial interaction model. We utilize a range of
variables to study differences between migration of population subgroups (i.e. gender and education) from country
specific contextual factors as well as regional ``push'' and ``pull'' factors. We find distinct patterns in the migration
levels through different education groups, where for example, more educated migrants are associated with longer
distance moves and away from older regions. Within education levels variations by gender are also apparent. For
example, males at lower education levels are attracted to areas with better job opportunities than their female
counterparts.

580 Internal Migration in Sri Lanka: Intensity, Selectivity and Spatial Patterns

Sunethra J. Perera Ellawala Liyanage
University of Colombo, Colombo, Sri Lanka

Categories

5. Population Mobility (Internal and International Migration, including Refugees) and Urbanization

Abstract

Sri Lanka has experienced significant demographic change over the last six decades. Compared with fertility and
mortality, internal migration has received comparably less attention. This paper explores three aspects of internal
migration: intensity, selectivity and spatial patterns. It uses both recent and lifetime data from the 2012 Population
and Housing Census, the first census in three decades to cover the entire population. The analysis is based on the
quantitative IMAGE framework and uses both system-wide and regional indicators. Results reveal that only 8.8 per
cent of the population change address of residence every five years, which is well below the global and Asian
means. The majority of migrants are young, with migration peaking at age 23 for both sexes driven largely by
marriage for females and employment for males. Spatial patterns show that Sri Lanka is dominated by rural-to-urban
internal migration principally toward the Western province where Colombo is located. Lifetime migration data
reveal different patterns for a number of provinces, reflecting historical changes in the direction of flows due to
government-led resettlement programs and conflict-induced migration, including the return of IDPs to rural areas
in the north.

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