Theoretical Advances on Interregional Migration Models

Biagi, Bianca; Dotzel, Kathryn R.

doi:10.1007/978-3-319-75886-2_2

Cited by 18 publications

(10 citation statements)

References 108 publications

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“…Issues relating to interregional migration are widely covered in recent studies (Benier and Corcoran, 2018;Biagi and Dotzel, 2018;Capasso et al, 2012;Cao et al, 2018;Denisov, 2018;Gerolimetto and Magrini, 2018;Rivera-Batiz, 2018;Simonen, Svento, Karhinen and McCann, 2018), including labor migration (Arntz, 2010;Ding, 2009;Haussen and Uebelmesser, 2018;Moshiri and Moghaddam, 2018;Sanchez-Moral et al, 2018;Simonen et al, 2018;Zhou et al, 2018). Scientific community also pays attention to the problem of migration regulation (Bystrov, Shishaev, Malygina and Khaliullina, 2018;Molinder, 2018;Nuraeny, 2018;Prytkova, 2017).…”

Section: Introductionmentioning

confidence: 99%

Interregional Labor Migration as a Tool to Increase Regional Labor Productivity: The Case of Russia

Panshin¹,

Markhaichuk²,

Yares³

2019

IJEBA

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Purpose: The paper deals with the analysis of the influence of interregional labor migration in the Russian Federation on regional labor productivity. Design/Methodology/Approach: Empirical analysis was conducted on the statistical data collected from the Federal State Statistics Service of the Russian Federation. The sample includes data on 85 subjects of the Russian Federation for the period 2011-2016. The study substantiates the impact of interregional labor migration in the Russian Federation on regional labor productivity and to form the tools for managing migration processes, ensuring its improvement. Findings: The study showed that interregional differences in wages, the differentiation of the characteristics of labor markets in the region of residence and the potential region of employment, different transport accessibility and additional employee costs associated with staying in another region are the main economic reasons for interregional labor migration in the Russian Federation. The regression analysis confirmed hypotheses that higher level of labor migration from the region leads to a decrease in labor productivity in the region. Practical Implications: Based on the empirically derived relationships, authors created a set of tools for managing migration processes, ensuring their improvement, which can be used for the development of program documents at the regional and interregional levels. Originality/Value: The main contribution of this study is the combination of deep statistical analysis and migration factors' analysis to provide valuable conclusions in interregional labor migrations.

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Section: Introductionmentioning

confidence: 99%

Interregional Labor Migration as a Tool to Increase Regional Labor Productivity: The Case of Russia

Panshin¹,

Markhaichuk²,

Yares³

2019

IJEBA

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“…The 'beaten-path' refers to community and social ties stretching from place of origin to host region (i.e. Epstein, 2002;Epstein and Gang, 2006;McGovern, 2007;Radu, 2008;Jewell and Molina, 2009;Sharma, 2012;Bodvarsson et al, 2014;Biagi and Dotzel, 2018). Migration decisions therefore depend not only on the individual's own actions and characteristics, but also on the specific migration choices of the individual's peer group.…”

Section: Why Do Migrants End Up In Particular Places and Not In Others?mentioning

confidence: 99%

Migration-prone and migration-averse places. Path dependence in long-term migration to the US

Rodríguez‐Pose

Berlepsch

2020

Applied Geography

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Does past migration beget future migration? Do migrants from different backgrounds, origins and ethnicities, and separated by several generations always settlein a path dependent wayin the same places? Is there a permanent separation between migration-prone and migration-averse areas? This paper examines whether that is the case by looking at the settlement patterns of two very different migration waves to the United States (US), that of Europeans at the end of the 19 th and early 20 th centuries and that of Latin Americans between the 1960s and the early 21 st century. Using Census data aggregated at county level, we track the settlement pattern of migrants and assess the extent to which the first mass migration wave has determined the later settlement pattern of Latin American migrants. The analysis, conducted using ordinary least squares, instrumental variable and panel data estimation techniques, shows that past US migration patterns create a path dependence that has conditioned the geography of future migration waves. Recent Latin American migrants have flocked, once other factors are controlled for, to the same migration prone US counties where their European predecessors settled, in spite of the very different nature of both migration waves and a time gap of three to five generations.

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“…Results of interregional migration analysis of the Italian situation and the theoretical approaches from an economic point of view are presented, for example, by Biagi and Dotzel (2018) and Faggian et al (2015). An econometric analysis of the Italian situation is offered by Biagi et al (2011), analysing the internal migration fl ows between the 103 provinces in 2001-2002 and including economic, social and environmental variables.…”

Section: Post-war International and Internal Migration Trends In Italymentioning

confidence: 99%

Population Change and International and Internal Migration in Italy, 2002-2017: Ravenstein Revisited

Benassi

Bonifazi

Heins

et al. 2020

CPoS

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In 1885, Ravenstein formulated his “laws” of migration, based on the experience of the British Isles. In a further 1889 paper, he extended his analysis as a tour d’horizon of migration and population changes in other nations, including Italy. Even if social and economic processes including globalisation and rising mobility have changed the world since then, Ravenstein’s “laws” remain a point of reference today. Harnessing theoretical and methodological advances made since the 19th century, this paper describes and seeks to explain the role of international and internal migration in regional population change in Italy from 2002-2017. This paper provides the first geographically detailed migration analysis for the country’s 611 Local Labour Market Areas (LLMAs), using register-based migration and population data. Our contribution focuses on several of Ravenstein’s “laws” relating to gender (differences between men and women), natives and non-natives (differences between the Italian and the foreign population), distance migrated from origin to destination, and the role of the economy in shaping push and pull factors of migration. The results show that international migration is more prominent among men than women. In the case of internal moves, the rates of migration among men and women are similar, and internal migration is more prominent among the foreign than the native Italian population. Overall, international migration gains contribute substantially more to population change than internal migration gains and losses do. In Italy, the effects of persistent economic imbalances and of distance on migration patterns are not in line with Ravenstein’s hypotheses: not all areas with high unemployment show an effect of dispersion, nor does distance always act as a deterrent to migration. The geographically detailed analysis presented here illustrates the temporal and spatial coexistence of diverse international and internal migration processes depending on local characteristics, as well as the importance of the economic or administrative centres as the driving force behind national patterns. Our results show that, even 130 years after their formulation, Ravenstein’s migration “laws” (more accurately called “hypotheses” today) are still a valuable starting point in assessing and understanding migration processes and their role in regional population change. * This article belongs to a special issue on “Internal Migration as a Driver of Regional Population Change in Europe: Updating Ravenstein”.

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Theoretical Advances on Interregional Migration Models

Cited by 18 publications

References 108 publications

Interregional Labor Migration as a Tool to Increase Regional Labor Productivity: The Case of Russia

Interregional Labor Migration as a Tool to Increase Regional Labor Productivity: The Case of Russia

Migration-prone and migration-averse places. Path dependence in long-term migration to the US

Population Change and International and Internal Migration in Italy, 2002-2017: Ravenstein Revisited

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