<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <title>EconStor Collection:</title>
  <link rel="alternate" href="https://hdl.handle.net/10419/201194" />
  <subtitle />
  <id>https://hdl.handle.net/10419/201194</id>
  <updated>2026-04-29T20:55:56Z</updated>
  <dc:date>2026-04-29T20:55:56Z</dc:date>
  <entry>
    <title>The impact of robots on workplace injuries and deaths: Empirical evidence from Europe</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/315133" />
    <author>
      <name>De Simone, Marco</name>
    </author>
    <author>
      <name>Guarascio, Dario</name>
    </author>
    <author>
      <name>Reljic, Jelena</name>
    </author>
    <id>https://hdl.handle.net/10419/315133</id>
    <updated>2025-04-25T15:48:59Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: The impact of robots on workplace injuries and deaths: Empirical evidence from Europe
Authors: De Simone, Marco; Guarascio, Dario; Reljic, Jelena
Abstract: This paper examines the impact of robotisation on workplace safety in EU manufacturing sectors between 2011 and 2019. To address endogeneity concerns, we employ an instrumental variable approach and find that robot adoption reduces both injuries and fatalities. Specifically, a 10% increase in robot adoption is associated with a 0.066% reduction in fatalities and a 1.96% decrease in injuries. Our findings highlight the context-dependent nature of these effects. The safety benefits of robotisation materialise only in high-tech sectors and in countries where industrial relations provide strong worker protections. In contrast, in traditional industries and countries with weaker institutional frameworks, these benefits remain largely unrealised. The results are robust to several sensitivity tests.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>The impact of automation on the position of vulnerable groups in the labour market in Slovakia and Czechia: Conceptual framework</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/339133" />
    <author>
      <name>Kováčová, Lucia</name>
    </author>
    <author>
      <name>Grinaj, Michaela</name>
    </author>
    <id>https://hdl.handle.net/10419/339133</id>
    <updated>2026-04-04T08:32:41Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: The impact of automation on the position of vulnerable groups in the labour market in Slovakia and Czechia: Conceptual framework
Authors: Kováčová, Lucia; Grinaj, Michaela
Abstract: The world of labour has been experiencing unprecedented advancements in automation that are changing the working conditions and accelerating productivity. Nevertheless, automation brings uneven benefits to different social and demographic groups in the labour market; vulnerable groups encounter multiple difficulties in accessing digital technologies and skills (e.g., Higgins et al., 2023; Kitsara, 2022; OECD, 2025). Inequalities are a result of unequal access to education, a lack of institutional support in the social and educational sphere, or limited access to workers' representation (PikeQy, 2014). Due to the accumulation of barriers, integration of vulnerable groups requires a holistic approach in labour integration and systemic coordination of key actors in providing social, health-care, and employment services (M´ytna Kureková et al., 2022; Greve, 2021). Nevertheless, it remains unclear how the automation will affect employment prospects and working conditions of vulnerable workers in Slovakia and Czechia, including socially marginalized communities, the elderly, or people with disabilities. Building on an intersectional theoretical and analytical framework of vulnerability (Atewologun, 2018; Crenshaw, 1990), this working paper presents a conceptual and analytical framework for understanding the impact of the automation on various population subgroups situated in the specific country context of Slovakia and Czechia.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Unslicing the pie: AI innovation and the labor share in European regions</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/315088" />
    <author>
      <name>Minniti, Antonio</name>
    </author>
    <author>
      <name>Prettner, Klaus</name>
    </author>
    <author>
      <name>Venturini, Francesco</name>
    </author>
    <id>https://hdl.handle.net/10419/315088</id>
    <updated>2025-04-25T15:48:56Z</updated>
    <published>2024-01-01T00:00:00Z</published>
    <summary type="text">Title: Unslicing the pie: AI innovation and the labor share in European regions
Authors: Minniti, Antonio; Prettner, Klaus; Venturini, Francesco
Abstract: We study how the development of Artificial Intelligence (AI) influences the distribution of income between capital and labor and how this, in turn, exacerbates geographic income inequality. To investigate this issue, we first build a theoretical framework and then analyze data from European regions dating back to 2000. We find that for every doubling of regional AI innovation, there is a 0.7% to 1.6% decline in the labor share, which may have decreased by between 0.20 and 0.46 percentage points from a mean of 52% due solely to AI. This new technology is particularly detrimental to high-skill and medium-skill labor. The impact on income distribution is driven by worsening wage and employment conditions for high-skill labor, and by wage compression for medium- and low-skill labor. The effect of AI is not driven by other factors affecting regional development in Europe, nor by the concentration process in the AI market.</summary>
    <dc:date>2024-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Climate change and automation: The emission effects of robot adoption</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/315089" />
    <author>
      <name>Abeliansky, Ana Lucia</name>
    </author>
    <author>
      <name>Prettner, Klaus</name>
    </author>
    <author>
      <name>Rodríguez-Crespo, Ernesto</name>
    </author>
    <id>https://hdl.handle.net/10419/315089</id>
    <updated>2025-04-25T15:48:53Z</updated>
    <published>2024-01-01T00:00:00Z</published>
    <summary type="text">Title: Climate change and automation: The emission effects of robot adoption
Authors: Abeliansky, Ana Lucia; Prettner, Klaus; Rodríguez-Crespo, Ernesto
Abstract: What are the environmental impacts of the increasing use of automation technologies? To answer this question, we propose a model of production in the age of automation that incorporates emission externalities. We derive a threshold condition subject to which the use of industrial robots affects emissions. This model leads to three testable predictions, i) the use of industrial robots causes higher emissions on average, ii) with increasing efficiency of industrial robots, the effect becomes weaker and could turn negative, and iii) in countries in which electricity is predominantly produced using (clean) renewable energy, industrial robot use has the potential of decreasing emissions. Empirically, we find support for the theoretical hypotheses implying that the effect of automation on emissions is non-linear or moderated by other variables.</summary>
    <dc:date>2024-01-01T00:00:00Z</dc:date>
  </entry>
</feed>

