Socioeconomic Driving Forces of International Migration

2017 ◽  
Vol 8 (2) ◽  
Author(s):  
Dennis Wesselbaum
Keyword(s):  
International Migration ◽  
Driving Forces ◽  
Migration Decision ◽  
Data Set ◽  
Socioeconomic Variables ◽  
Education And Health ◽  
Linear Effects ◽  
Migration Flows ◽  
Shaped Pattern ◽  
Robust Evidence

Abstract This paper makes a contribution to the literature on the driving forces of international migration. In contrast to the existing literature we consider the effect of socioeconomic variables (population dynamics, education and health, and openness) on migration flows. Especially the effects of openness of a society have not received much attention in the scientific debate.We use a panel data set of bilateral migration flows between 16 destination and 198 origin countries over the time span from 1980 to 2015. Most importantly, we find that our socioeconomic variables significantly affect the migration decision. Including socioeconomic variables does affect the size of the effects of the commonly used variables in the literature.Further, we find robust evidence that the socioeconomic variables at hand have non-linear effects on migration. For example, we find that the effect of human capital on migration follows an inverted U-shaped pattern.

scholarly journals The Determinants of International Migration in Early Modern Europe: Evidence from the Maritime Sector, c. 1700–1800

2020 ◽  
Vol 44 (1) ◽  
pp. 143-167
Author(s):  
Alexander Klein ◽  
Jelle van Lottum
Keyword(s):  
Early Modern ◽  
International Migration ◽  
Early Modern Europe ◽  
Data Set ◽  
Chain Migration ◽  
Migration Flows ◽  
Cross Country ◽  
Modern Europe ◽  
Geographical Characteristics

ABSTRACTThis article offers the first multivariate regression study of international migration in early modern Europe. Using unique eighteenth-century data about maritime workers, we created a data set of migration flows among European countries to examine the role of factors related to geography, population, language, the market, and chain migration in explaining the migration of these workers across countries. We show that among all factors considered in our multivariate analysis, the geographical characteristics of the destination countries, size of port towns, and past migrations are among the most robust and quantitatively the most important factors influencing cross-country migration flows.

The Effect of Health Environment on Migration Flows

2019 ◽  
Vol 16 (4) ◽  
pp. 595-610
Author(s):  
Huyen Thuong Nguyen
Keyword(s):  
International Migration ◽  
Health Indicators ◽  
Data Set ◽  
Poor Countries ◽  
Net Migration ◽  
Country Level ◽  
Life Expectancy At Birth ◽  
Negative Effect ◽  
Migration Flows ◽  
And Migration

International migration has become more popular recently in the globalization context. The recorded number of international migration cases is much fewer than the actual number in the last few decades. Migration is considered to have various consequences in both origin and destination countries. Understanding determinants of migration is necessary for long-term sustainable development policies. This study examines a causal relationship between health environment and migration flows by exploiting a panel country level data set on health indicators and net migration from 1940 to 1987. An increase in life expectancy at birth has led to a decrease in net migration in the whole sample countries as well as in non-poor countries. By using global mortality rate constructed based on information on the reduction in mortality following the epidemiological transition in 1940s as instrumental variable, 2SLS methodology allows controlling for endogeneity problem. The results are robust even applying various additional tests. Overall, health environment has a negative effect on migration flows.

Food Insecurity and International Migration Flows

2021 ◽  
pp. 019791832110428
Author(s):  
Michael D. Smith ◽  
Dennis Wesselbaum
Keyword(s):  
Food Insecurity ◽  
International Migration ◽  
Fixed Effects ◽  
Driving Forces ◽  
Positive Correlation ◽  
Individual Level ◽  
Migration Flows ◽  
Aid Programs ◽  
Fixed Effects Regression

The driving forces of international migration are increasingly complex and interrelated. This article examines the relationship between food insecurity and regular, permanent international migration. The analysis draws on data from the first global measure of individual-level food insecurity combined with data on migration flows from 198 origin countries to 16 Organization for Economic Co-operation and Development destination countries for 2014 and 2015. Using a fixed-effects regression model that resembles an augmented gravity equation controlling for various confounding factors, we show both a significant positive correlation between food insecurity at origin and out-migration and a positive correlation between out-migration and within-country inequality in food insecurity at origin. Our findings imply that people may react not only to the average prevalence of food insecurity but also to their relative position in the distribution of food insecurity within their origin country. This finding may help inform policymakers about potential threshold effects and guide the design of migration policies and aid programs. It also contributes to the study of international migration flows by presenting novel evidence for the role of food insecurity and within-country inequality in food insecurity as drivers of migration flows.

scholarly journals Global dynamics of international migration systems across South–South, North–North, and North–South flows, 1990–2015

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Diego F. Leal ◽  
Nicolas L. Harder
Keyword(s):  
International Migration ◽  
Network Effects ◽  
Global Dynamics ◽  
Core Set ◽  
Migration Dynamics ◽  
Key Drivers ◽  
Migration Flows ◽  
And Migration ◽  
Migration Systems

AbstractEvidence from 184 countries over the span of 25 years is gathered and analyzed to understand North–North, South–South, and North–South international migration flows. Conceptually, the analysis borrows from network theory and Migration Systems Theory (MST) to develop a model to characterize the structure and evolution of international migration flows. Methodologically, the Stochastic Actor-oriented Model of network dynamics is used to jointly model the three types of flows under analysis. Results show that endogenous network effects at the monadic, dyadic, and triadic levels of analysis are relevant to understand the emergence and evolution of migration flows. The findings also show that a core set of non-network covariates, suggested by MST as key drivers of migration flows, does not always explain migration dynamics in the systems under analysis in a consistent fashion; thus, suggesting the existence of important levels of heterogeneity inherent to these three types of flows. Finally, evidence related to the role of political instability and countries’ care deficits is also discussed as part of the analysis. Overall, the results highlight the importance of analyzing flows across the globe beyond typically studied migratory corridors (e.g., North–South flows) or regions (e.g., Europe).

Predicting Physical Activity and Lifelong Health Through Personal Control and Educational Attainment

2021 ◽  
pp. 003151252110292
Author(s):  
Jinyi Zhou ◽  
Xuesong Ding ◽  
Yuefan Zhai ◽  
Qing Yi
Keyword(s):  
Physical Activity ◽  
Educational Level ◽  
Personal Development ◽  
Educational Achievement ◽  
Personal Control ◽  
Well Being ◽  
Mediating Effect ◽  
Data Set ◽  
Education And Health ◽  
Proposed Model

Prior studies have shown that physical activity (PA) is strongly associated with lifelong health and well-being. Thus, analyses of relationships among individual differences, PA, education, and health may provide important insights into the sustainability of PA-related personal development efforts. In this longitudinal study, we tested a proposed model in a data set of 12,686 participants from the National Longitudinal Survey of Youth 1979 (NLSY 79). We used hierarchical regressions and bootstrapping to test hypotheses concerning the main effect of personal control on lifetime health, the mediating effect of PA, and the moderating effect of educational achievement. We found that individuals’ self-reported PA was positively related to their health status. Additionally, there was a positive mediating effect of self-reported PA on the relationship between personal control and health when the individual’s educational level was high, and there was a negative mediating effect of self-reported PA when an individual’s educational level was low. Based on these results, we provide relevant government policy suggestions for increasing fitness participation, constructing sports facilities, and encouraging educational institutions to include health education in their efforts.

scholarly journals Leaf area controls on energy partitioning of a temperate mountain grassland

2008 ◽  
Vol 5 (2) ◽  
pp. 421-431 ◽  
Author(s):  
A. Hammerle ◽  
A. Haslwanter ◽  
U. Tappeiner ◽  
A. Cernusca ◽  
G. Wohlfahrt
Keyword(s):  
Heat Flux ◽  
Latent Heat ◽  
Driving Forces ◽  
Vegetation Period ◽  
Soil Heat Flux ◽  
Energy Partitioning ◽  
Summer Drought ◽  
Evaporative Demand ◽  
Data Set ◽  
Mountain Grassland

Abstract. Using a six year data set of eddy covariance flux measurements of sensible and latent heat, soil heat flux, net radiation, above-ground phytomass and meteorological driving forces energy partitioning was investigated at a temperate mountain grassland managed as a hay meadow in the Stubai Valley (Austria). The main findings of the study were: (i) Energy partitioning was dominated by latent heat, followed by sensible heat and the soil heat flux; (ii) When compared to standard environmental forcings, the amount of green plant matter, which due to three cuts varied considerably during the vegetation period, explained similar, and partially larger, fractions of the variability in energy partitioning; (iii) There were little, if any, indications of water stress effects on energy partitioning, despite reductions in soil water availability in combination with high evaporative demand, e.g. during the summer drought of 2003.

scholarly journals International Migration to Seville

2018 ◽  
Vol 8 (2) ◽  
pp. 355-378
Author(s):  
Selda Dudu
Keyword(s):  
Field Study ◽  
Empirical Analysis ◽  
International Migration ◽  
Capital City ◽  
Migration Decision ◽  
Main Determinants ◽  
The Empirical Analysis

Every year many people are willing to migrate due to several reasons. It is observed that there are many immigrants who live in Seville, which is the capital city of Andalusia. This study aims to explore the motivations behind people's decision to migrate and to where: What are the motivations of immigrants to migrate to Seville? We use data from several resources for the empirical analysis and the field study relies on the survey which is made with immigrants living in Seville. It concludes that security, economic, social and geographic conditions of the origin country can be the main determinants of the migration decision and the migration destination.

The Causes of International Labor Migrations — A Demand-Determined Approach

1986 ◽  
Vol 20 (4) ◽  
pp. 835-855 ◽  
Author(s):  
Thomas Straubhaar
Keyword(s):  
Control Systems ◽  
International Migration ◽  
Labor Migration ◽  
Common Market ◽  
Necessary Condition ◽  
Immigration Control ◽  
Empirical Results ◽  
Labor Migrations ◽  
International Labor ◽  
Migration Flows

The empirical results for the causes of the migration flows from Italy, Spain, Greece, Portugal and Turkey to the EC-destination countries show that determinants which are used to explain migration flows inside a given country can be applied to the migration flows within a Common Market, but not to international migration flows. International migration flows are demand-determined by the existence of restrictive immigration control systems. The demand for immigrants in the destination country is the decisive condition for the phenomenon of international labor migration, and the supply of migration-willing workers is only a necessary condition.

Sign in / Sign up

Export Citation Format

Share Document