R. Stöllinger
Please Note
17 records found
1
This paper analyses the impact of offshoring in the EU – both in total and differentiated by destination region (advanced Europe, developing Europe, developed non-Europe, developing non-Europe) – on six different non-wage working conditions: physical environment, work intensity, worktime quality, social environment, skills and discretion, and prospects. Results from instrumental variable (IV) estimations show that offshoring has substantial causal effects, improving the physical environment and career prospects, but also worsening the social environment, particularly in old EU member states. Moreover, the effects vary by destination: offshoring to advanced Europe improves skills and discretion but can increase work intensity, whereas offshoring to developing Europe enhances the physical environment and career prospects. Effects for non-European destinations are more heterogeneous and sometimes opposite to those observed in Europe.
Diverging paths
AI exposure and employment across European regions
This study explores exposure to artificial intelligence (AI) technologies and employment patterns in Europe. First, we provide a thorough mapping of European regions focusing on the structural factors—such as sectoral specialisation, R&D capacity, productivity and workforce skills—that may shape diffusion as well as economic and employment effects of AI. To capture these differences, we conduct a cluster analysis which group EU regions in four distinct clusters: high-tech service and capital centres, advanced manufacturing core, southern and eastern periphery. We then discuss potential employment implications of AI in these regions, arguing that while regions with strong innovation systems may experience employment gains as AI complements existing capabilities and production systems, others are likely to face structural barriers that could eventually exacerbate regional disparities in the EU, with peripheral areas losing further ground.
Assessing Digital Leadership
Is the EU Losing Out to the US?
Since Leontief’s (Leontief 1953) seminal work on the factor content of trade, the validity of the Heckscher-Ohlin-model has been judged not only on the basis of formal tests of the theory but also tested against prior expectation. In this vein, this paper uses the Heckscher-Ohlin-Vanek (HOV) approach to investigate whether supposed US leadership in the digital domain can be traced back to digital task endowments embodied in labour services. In a comparison between EU member states and the US, we find that the latter is more intensive in digital tasks than the EU and that this difference is explained by both an intensity-effect (US occupations being more digital-task intensive) and a structural component (relatively more digital-task intensive occupations). Viewed through the lens of the HOV theorem we find that the US is abundant in digital tasks relative to non-digital tasks, while the opposite is true for the EU. The standard tests for the predictive power of the HOV theorem are high and in line with the results for labour in previous literature.
Testing the Smile Curve
Functional Specialisation and Value Creation in GVCs
Achieving Sustainable Development
New empirical evidence on the impact of industrialization on social and environmental sustainability goals