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1. Which Migrant Jobs are Linked with the Adoption of Novel Technologies, Robotisation, and Digitalisation?

Author:
Antea Barišić, Mahdi Ghodsi, and Robert Stehrer
Publication Date:
02-2024
Content Type:
Working Paper
Institution:
The Vienna Institute for International Economic Studies (WIIW)
Abstract:
In recent decades, the development of novel technologies has intensified due to globalisation, prompting countries to enhance competitiveness through innovation. These technologies have significantly improved global welfare, particularly in sectors like healthcare, where they have facilitated tasks and boosted productivity, for example playing a crucial role in combating the COVID-19 pandemic. However, certain technologies, such as robots, can negatively impact employment by replacing workers and tasks. Additionally, the emergence of artificial intelligence as digital assets not only replaces specific tasks but also introduces complexities that may displace employees who are unable to adapt. While the existing literature extensively explores the heterogeneous effects of these technologies on labour markets, studies of their impact on migrant workers remain scarce. This paper presents pioneering evidence on the effects of various novel technologies on migrant employment in the European Union. The analysis covers 18 EU member states from 2005 to 2019 focusing on the impact of novel innovations, robot adoption, three types of digital assets, and total factor productivity, on migrant employment. The key findings reveal that innovations measured by the number of granted patents increase both the number and proportion of migrant workers relative to the overall workforce. While robots do replace jobs, their impact on native workers surpasses that of migrant workers, resulting in a higher share of migrant workers following robot adoption. Total factor productivity positively influences migrant workers, while the effects of digital assets are heterogeneous. Moreover, the impacts of these technologies on migrant workers vary significantly across different occupation types and educational levels.
Topic:
Migration, Labor Issues, European Union, Innovation, Robotics, Migrant Workers, Digitalization, and Income Distribution
Political Geography:
Europe

2. Technological Push and Pull Factors of Bilateral Migration

Author:
Antea Barišić, Mahdi Ghodsi, and Michael Landesmann
Publication Date:
02-2024
Content Type:
Working Paper
Institution:
The Vienna Institute for International Economic Studies (WIIW)
Abstract:
This paper explores the complex interplay between technology adoption, specifically robotisation and digitalisation, and international migration within the EU and other advanced economies, including Australia, the UK, Japan, Norway and the US, over the period 2001-2019. Utilising a gravity model approach grounded in neoclassical migration theory, the study analyses how technological advancements influence migration flows. It examines two key technological variables: the extent of digitalisation, represented by ICT capital per person employed, and the adoption of industrial robots, measured by the stock of robots per thousand workers. The research uniquely integrates these technological factors into migration analysis, considering both push and pull effects. Additionally, it accounts for various other migration determinants such as macroeconomic conditions, demography and policy factors. The findings reveal insightful dynamics about the relationships between technological progress, labour market conditions and migration patterns, contributing significantly to the current literature and informing future migration policies and the impact of technology adoption.
Topic:
Migration, Labor Issues, Innovation, Robotics, Migrant Workers, and Digitalization
Political Geography:
Global Focus

3. The Factors Driving Migration Intentions and Destination Preferences in Central, East and Southeast European Countries

Author:
Antea Barišić, Mahdi Ghodsi, Alireza Sabouniha, and Robert Stehrer
Publication Date:
05-2024
Content Type:
Working Paper
Institution:
The Vienna Institute for International Economic Studies (WIIW)
Abstract:
This paper analyses the determinants of outward migration decisions while focusing on CESEE countries and using data from the OeNB Euro Survey conducted by the Oesterrichische Nationalbank (OeNB), a data source that has yet to be exploited at the individual level. Applying a two-stage Heckman procedure, we identify the determinants of the intention to migrate, including age, gender, ties at home, household characteristics and income. In the second stage, we analyse the characteristics of those who expressed a desire to migrate and investigate the determinants of the choice of the respective destination, distinguishing between EU15, EU-CEE and extra-EU countries. The insights in this paper might help to inform fact-based migration and public policies in addition to laying some groundwork for further research (a) concerning the impact of new technologies and demographic trends on the intentions to migrate as well as (b) establishing a firmer link between the intention to migrate and actual migration.
Topic:
Migration, Labor Issues, European Union, Pull Factor, and Choice Model
Political Geography:
Europe