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  <title>EconStor Community:</title>
  <link rel="alternate" href="https://hdl.handle.net/10419/40238" />
  <subtitle />
  <id>https://hdl.handle.net/10419/40238</id>
  <updated>2026-04-28T14:09:22Z</updated>
  <dc:date>2026-04-28T14:09:22Z</dc:date>
  <entry>
    <title>Aristotle's social choice</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/336791" />
    <author>
      <name>Tanguiane, Andranick S.</name>
    </author>
    <id>https://hdl.handle.net/10419/336791</id>
    <updated>2026-02-19T04:50:08Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Aristotle's social choice
Authors: Tanguiane, Andranick S.
Abstract: We describe Aristotle's mathematical model of weighted voting to explain and implement decision-making in democracies, oligarchies and the mixed states that combine elements of both systems. This model, originally presented in textual form, extends the known history of social choice theory back 450 years to the mid-4th century BC. The fact that the origins of the social choice theory go back to one of the most influential thinkers of all time enhances its scientific and historical significance.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Analyzing the influence of large-scale weather patterns on renewable energy systems: A review</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/336809" />
    <author>
      <name>Layer, Kira</name>
    </author>
    <author>
      <name>Gutmayer, Stephanie</name>
    </author>
    <author>
      <name>Sandmeier, Thorben</name>
    </author>
    <author>
      <name>Ringger, Jonas</name>
    </author>
    <author>
      <name>Cermak, Jan</name>
    </author>
    <author>
      <name>Fichtner, Wolf</name>
    </author>
    <id>https://hdl.handle.net/10419/336809</id>
    <updated>2026-02-19T04:50:02Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Analyzing the influence of large-scale weather patterns on renewable energy systems: A review
Authors: Layer, Kira; Gutmayer, Stephanie; Sandmeier, Thorben; Ringger, Jonas; Cermak, Jan; Fichtner, Wolf
Abstract: Electricity generation as well as electricity demand are dependent on the weather and climate, and this dependency is expected to further increase in the future. Challenges in energy systems arising from this dependency can be studied using large-scale weather patterns (WPs). These WPs can help reveal the atmospheric drivers of the challenges, but there exist many different classifications of large-scale WPs. Although WPs are widely used in energy-related studies, to our knowledge, no systematic review has yet evaluated the applicability of weather pattern classifications to analyzing extreme events and variability in energy systems. In this study, we aim to fill this gap by reviewing and combining literature dealing with both WP classifications and weather-induced challenges in energy systems. A total of 69 studies are included, which use different classification methods to study weather-induced challenges on energy systems. Overall, most challenges to the energy system arise during blocking weather patterns. Furthermore, we find that stable large-scale WPs allow for better forecasts of wind power generation if combined with other predictors. This review reveals research gaps underscoring the need to consider the whole energy system, including demand and the electricity grid, not only the generation of wind power and photovoltaics.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Design limits and investment risks of mid-term storage under uncertain market conditions</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/336783" />
    <author>
      <name>Stelzer, Jonathan</name>
    </author>
    <author>
      <name>Esser, Katharina</name>
    </author>
    <author>
      <name>Weiskopf, Thorsten</name>
    </author>
    <author>
      <name>Ardone, Armin</name>
    </author>
    <author>
      <name>Bertsch, Valentin</name>
    </author>
    <author>
      <name>Fichtner, Wolf</name>
    </author>
    <id>https://hdl.handle.net/10419/336783</id>
    <updated>2026-02-19T04:49:55Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Design limits and investment risks of mid-term storage under uncertain market conditions
Authors: Stelzer, Jonathan; Esser, Katharina; Weiskopf, Thorsten; Ardone, Armin; Bertsch, Valentin; Fichtner, Wolf
Abstract: The transition to a net-zero energy system requires large-scale integration of variable renewables, increasing demand for flexibility beyond short-term batteries and seasonal hydrogen. Emerging storage technologies feature cost structures that position them between these options, offering discharge durations of several hours to a few days, here referred to as mid-term storage. However, their economic feasibility depends strongly on their techno-economic parameters and evolving market dynamics. Identifying profitable and robust storage configurations under uncertain future market conditions is therefore crucial to bridge the perspectives of technology developers and investors. We employ the agent-based electricity market model PowerACE, which explicitly represents market participants as interacting decision-making agents. Using mean-reverting stochastic representations of fuel prices and renewable generation, we capture the impact of uncertainties on storage profitability from an individual investor's perspective. The analysis determines the maximum capital expenditure that still yields economically viable storage configurations across relevant combinations of techno-economic parameters. The results reveal that profitability is limited under current cost conditions, as the marginal contribution of storage capacity declines sharply with higher storage durations. At the same time, higher round-trip efficiency not only improves returns but also reduces market risk. Balancing efficiency, costs, and duration is essential for mid-term storage competitiveness, while risk-based assessments can guide robust technology and investment decisions.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Rethinking tobacco control: The global case for differentiated regulation of smoke-free alternatives</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/340002" />
    <author>
      <name>Lavee, Doron</name>
    </author>
    <author>
      <name>Steidl, Florian</name>
    </author>
    <id>https://hdl.handle.net/10419/340002</id>
    <updated>2026-04-18T04:03:56Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Rethinking tobacco control: The global case for differentiated regulation of smoke-free alternatives
Authors: Lavee, Doron; Steidl, Florian
Abstract: Over the past years, governments have made substantial progress in tobacco control through higher taxes, advertising bans, and public smoking restrictions. Yet, in many advanced economies, smoking rates have stopped falling despite these strong measures. This stagnation suggests that traditional approaches, focused solely on discouraging all nicotine use, may have reached their limits. Simultaneously, the emergence of novel nicotine delivery systems - such as e-cigarettes, heated tobacco products, and nicotine pouches - has introduced a new dynamic. Although these products are not risk-free, they are generally associated with a significant reduction in toxicant exposure relative to conventional cigarettes. Policy responses to this technological development vary: some countries have adopted regulatory frameworks that differentiate products based on their relative health risks, while others apply uniform restrictions across all nicotine-containing products. This study analyzes the effect of these divergent regulatory frameworks on smoking prevalence across a cohort of 42 highly developed countries (Human Development Index (HDI) &gt; 0.83). Using Ordinary Least Squares (OLS) regression models controlling for development levels (measured by HDI index) and taxation levels, the findings indicate that countries adopting a differentiated, risk-proportionate policy exhibit smoking rates approximately 7 percentage points lower than those maintaining non-differentiated regulatory regimes. Furthermore, the analysis reveals that in this high-HDI cohort, differences in taxation levels alone no longer explain the variance in smoking prevalence, highlighting the importance of product substitution toward lower-risk nicotine products in sustaining progress in tobacco control.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
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