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1. Assessing the Impact of New Technologies on Wages and Labour Income Shares

Author:
Antea Barišić, Mahdi Ghodsi, and Robert Stehrer
Publication Date:
01-2024
Content Type:
Working Paper
Institution:
The Vienna Institute for International Economic Studies (WIIW)
Abstract:
This paper advances the literature on the impacts of new technologies on labour markets, focusing on wage and labour income shares. Using a dataset from 32 countries and 38 industries, we analyse the effects of new technologies – proxied by patents, information and communication technology (ICT) capital usage, and robot intensity – on average wages and labour income shares over time. Our results indicate a positive correlation between patents and wage levels along with a minor negative impact on labour income shares, suggesting that technology rents are not fully passed on to labour. Robot intensity is positively associated with labour income shares, while ICT capital has an insignificant effect. These effects persist over time and are reinforced by global value chain (GVC) linkages. Our conclusions align with recent research indicating that new technologies have a generally limited impact on wages and labour income shares.
Topic:
Science and Technology, Labor Issues, Investment, Global Value Chains, Robotics, and Income
Political Geography:
Global Focus

2. 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

3. 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

4. Robotisation, Employment and Industrial Growth Intertwined Across Global Value Chains

Author:
Mahdi Ghodsi, Oliver Reiter, Robert Stehrer, and Roman Stöllinger
Publication Date:
04-2020
Content Type:
Working Paper
Institution:
The Vienna Institute for International Economic Studies (WIIW)
Abstract:
The global economy is currently experiencing a new wave of technological change involving new technologies, especially in the realm of artificial intelligence and robotics, but not limited to it. One key concern in this context is the consequences of these new technologies on the labour market. This paper provides a comprehensive analysis of the direct and indirect effects of the rise of industrial robots and productivity via international value chains on various industrial indicators, including employment and real value added. The paper thereby adds to the existing empirical work on the relationship between technological change, employment and industrial growth by adding data on industrial robots while controlling for other technological advancements measured by total factor productivity (TFP). The results indicate that the overall impact of the installation of new robots did not statistically affect the growth of industrial employment during the period 2000–2014 significantly, while the overall impact on the real value added growth of industries in the world was positive and significant. The methodology also allows for a differentiation between the impact of robots across various industries and countries based on two different perspectives of source and destination industries across global value chains.
Topic:
Economics, Science and Technology, Digital Economy, Economic Growth, Industry, and Robotics
Political Geography:
Global Focus