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  <title>EconStor Collection:</title>
  <link rel="alternate" href="https://hdl.handle.net/10419/304460" />
  <subtitle />
  <id>https://hdl.handle.net/10419/304460</id>
  <updated>2026-05-09T19:00:24Z</updated>
  <dc:date>2026-05-09T19:00:24Z</dc:date>
  <entry>
    <title>GJAE is preparing for future developments in the scentific system: New policies regarding data and AI. Editorial</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/338895" />
    <author>
      <name>Hüttel, Silke</name>
    </author>
    <author>
      <name>Rommel, Jens</name>
    </author>
    <author>
      <name>Teuber, Ramona</name>
    </author>
    <author>
      <name>Banse, Martin</name>
    </author>
    <author>
      <name>Grebitus, Carola</name>
    </author>
    <id>https://hdl.handle.net/10419/338895</id>
    <updated>2026-03-28T02:48:14Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: GJAE is preparing for future developments in the scentific system: New policies regarding data and AI. Editorial
Authors: Hüttel, Silke; Rommel, Jens; Teuber, Ramona; Banse, Martin; Grebitus, Carola</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Using cubic splines in crop insurance models: A replication study</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/338896" />
    <author>
      <name>Schmidt, Lorenz</name>
    </author>
    <author>
      <name>Heydarli, Masud</name>
    </author>
    <author>
      <name>Filler, Günther</name>
    </author>
    <author>
      <name>Odening, Martin</name>
    </author>
    <id>https://hdl.handle.net/10419/338896</id>
    <updated>2026-03-28T02:48:12Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Using cubic splines in crop insurance models: A replication study
Authors: Schmidt, Lorenz; Heydarli, Masud; Filler, Günther; Odening, Martin
Abstract: This study replicates the work of Bucheli et al. (2022) to evaluate the reliability and generalizability of their findings on the use of cubic spline methods in weather index insurance design in Eastern Germany. The study consists of two parts: a direct replication and an extended replication using different crops and another regional focus of yield data from Saxony, Germany. The direct replication confirms the original findings, while the extended replication reveals limitations in the model's risk reduction capacities. The gain in model fit, compared with daily temperature data, seems to be modest. It is questionable if an index insurance, which is solely based on temperature, will be considered as an attractive risk management tool, given the substantial basis risk that remains with farmers. The study highlights the importance of considering crop-specific risk profiles, regional climate, and agricultural conditions in insurance design. Moreover, our analysis highlights the relevance of FAIR (findable, accessible, interoperable, reusable) data for the performance of replication studies.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Effects of the German due diligence act on supplier selection in the agri-food sector</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/338898" />
    <author>
      <name>von Heyden, Jürgen</name>
    </author>
    <author>
      <name>von Bülow, Vicco</name>
    </author>
    <author>
      <name>Spiller, Achim</name>
    </author>
    <author>
      <name>Iweala, Sarah</name>
    </author>
    <id>https://hdl.handle.net/10419/338898</id>
    <updated>2026-03-28T02:48:17Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Effects of the German due diligence act on supplier selection in the agri-food sector
Authors: von Heyden, Jürgen; von Bülow, Vicco; Spiller, Achim; Iweala, Sarah
Abstract: Global supply chains in the agri-food sector are at risk of violations of human rights as well as labour and environmental standards. To address these risks, the German Due Diligence Act (LkSG for "Lieferkettensorgfaltspflichtengesetz") was enacted, mandating corporate human rights, labour and environmental due diligence. Despite its significance, there is limited research on the LkSG's impact on supplier management. This study aims to provide initial insights into how the LkSG affects supplier selection in the agri-food sector. We conducted qualitative analyses of expert interviews with fifteen company representatives from the German agri-food sector. The findings reveal that companies are confident in maintaining their current supply chains without systematically reducing their supplier base. They perceive the LkSG's legal requirements primarily as a task for supplier development rather than selection. While there was no significant increase in supplier selection criteria related to human rights and the environment, some companies have given these criteria greater importance. Future suppliers to the German agri-food sector will need to provide more detailed information on human rights and environmental risks. Additionally, companies have become more selective in their choice of certification and verification schemes.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Public acceptance of robots and autonomous crop farming: A cluster analysis of German citizens' attitudes and concerns</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/338900" />
    <author>
      <name>Zeddies, Hendrik Hilmar</name>
    </author>
    <author>
      <name>Busch, Gesa</name>
    </author>
    <id>https://hdl.handle.net/10419/338900</id>
    <updated>2026-03-28T02:48:07Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Public acceptance of robots and autonomous crop farming: A cluster analysis of German citizens' attitudes and concerns
Authors: Zeddies, Hendrik Hilmar; Busch, Gesa
Abstract: Public acceptance is essential for technology innovation in agriculture. Due to the recent advances in artificial intelligence, robotics and autonomous systems (RAS) could soon revolutionize crop farming landscapes. What is society's view on crops being produced with the help of autonomous machines and how do different groups accept the technologies? A sample of 567 German citizens was segmented into clusters using an unsupervised machinelearning technique. The analysis elaborated on heterogeneity in public attitudes concerning challenges and advances of RAS and investigated political attitudes in relation to RAS attitudes. A majority of the participants are in favor of the use of RAS. While 41% of the participants positioned themselves as positive (Proponents), about 19% even showed a strong positive attitude towards RAS use (Enthusiasts). The ease of farm work and environmental benefits drive RAS acceptance among Proponents and Enthusiasts. Nevertheless, 29% support RAS use overall but raise concerns regarding socio-economic impacts (Skeptical Proponents), and 11% (Skeptics) take a skeptical stance. Skeptical Proponents and Skeptics fear negative consequences for family farms and are doubtful about potential positive environmental contributions. A higher share of right-wing and non-voter participants is detected among the more skeptical clusters, while green (environmental) party voters are among the more positive participants. Potential concerns should be recognized and addressed by the farming sector on the development path to more automated agriculture. Food production is a sensitive topic affecting everyone, which should be considered in communication efforts. The advantages of RAS technologies need to be articulated through targeted scientific communication.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
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