Why local air pollution is more than daily peaks: modelling policies in a city in order to avoid premature deaths

Behrens, Doris A.; Koland, Olivia; Leopold‐Wildburger, Ulrike

doi:10.1007/s10100-018-0534-y

Cited by 9 publications

(5 citation statements)

References 57 publications

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“…These restrictions can serve as a starting point for a number of directions that future research could take. This could, for example, include studies that go beyond student populations to measure the weight that the general population attaches to different aspects of climate change as compared to their own individual gains, or to extend beyond climate change issues to environmental issues and their human costs in general (Behrens et al 2018). Another fruitful implementation of our methodology would be the testing of different wordings and descriptions of various aspects and consequences of climate change, to optimize policy measures or increase donations to NGOs.…”

Section: Discussionmentioning

confidence: 99%

Social and environmental preferences: measuring how people make tradeoffs among themselves, others, and collective goods

Fleiß

Ackermann²,

Fleiß

et al. 2019

Cent Eur J Oper Res

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Social preferences like social value orientation are considered a promising solution to social dilemmas, such as mitigating anthropogenic climate change. However, evidence on the relationship between social preferences and environmental concerns is mixed, possibly because these constructs have commonly been measured by distinct methods that do not facilitate direct comparisons. We address this gap by introducing an incentivized preference-based measurement approach, extending a subject's concerns for the wellbeing of others to a subject's willingness to support environmental and humanitarian endeavors, based on a simple social preferences utility function. In this measurement approach, subjects make resource allocation choices with real consequences and the design ensures comparability of different revealed preferences (i.e., people's willingness to make tradeoffs between themselves and others via donations to NGOs supporting different environmental and social causes). We then use this measurement method in an exploratory fashion to consistently assess preferences for environmental and humanitarian concerns in a laboratory experiment. We find that social and environmental value orientations are robustly interrelated, and further that people are generally more willing to pay to benefit people in need, compared to abstract environmental causes. We conclude that interventions to nudge people towards proenvironmental behavior will have a greater impact if human suffering resulting from global climate change is made more salient.

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Section: Discussionmentioning

confidence: 99%

Social and environmental preferences: measuring how people make tradeoffs among themselves, others, and collective goods

Fleiß

Ackermann²,

Fleiß

et al. 2019

Cent Eur J Oper Res

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“…The paper by Behrens et al (2018) reports a predator-prey model, which has helped to demonstrate effects between the variable of pollution on the one hand, and quality of life, respectively public health, on the other hand. The authors have created three different sets of parameter constellations, yielding three different scenarios with respect to residential lifestyle and pollution control.…”

Section: Applications Of Predator-prey Models To Optimal Harvestingmentioning

confidence: 99%

“…Experimental results suggest that considerations of fairness often play important roles: subjects are willing to forgo some monetary gains in order to avoid unfair treatment. For various experiments and models of fairness, see Fehr and Schmidt (1999), Becker and Leopold-Wildburger (1996), Becker et al (2002) and Bednar-Friedl et al (2017), as well as Behrens et al (2018). Surveys of experiments concerning coordination and bargaining can be found in Kagel and Roth (1997).…”

Section: Laboratory Experimentsmentioning

confidence: 99%

Optimal dynamic control of predator–prey models

Becker

Leopold‐Wildburger

2019

Cent Eur J Oper Res

Self Cite

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This paper combines work to use a decision support tool for sustainable economic development, while acknowledging interdependent dynamics of population density, and interferences from outside. We get new insights derived from experimental approaches: analytical models (optimal dynamic control of predator-prey models) provide optimal dynamic strategies and interventions, depending on different objective functions. Our economic experiments are able to test the applicability of these strategies, and in how far decision-makers can learn to improve decision-making by repeated applications. We aim to analyse a sustainable environment with diametrical goals to harvest as much as possible while allowing optimal population growth. We find interesting insights from those who manage the dynamic system. With the methodology of experimental economics, the experiment at hand is developed to analyse the capability of individual persons to handle a complex system, and to find an economic, stable equilibrium in a neutral setting. We have developed a most interesting simulation model, where it will turn out that prices play a less important role than availability of the goods. This aspect could become a new important aspect in economics in general and in sustainable environments especially.

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“…In this environment, production processes should be capable of manufacturing a wide range of sustainable product configurations in small lots at very competitive prices. As customers are becoming increasingly demanding and expect increasingly smarter and personalised products, the entire supply chain should adapt to this new paradigm and improve the operational research methods supporting decisions on economics and environmental issues (Behrens et al 2018), improving ergonomics (Calzavara et al 2019;Bogataj et al 2019) and controlling processes (Inderfurth et al 2018). It is necessary to connect supply chains to face challenges associated with this ever-increasing demand; the players in the supply network should be capable of coordinating and cooperating smartly with other value chain actors and should be able to automate their processes by minimising the costs involved or maximising the net present value (Gaspars-Wieloch 2019).…”

Section: Introductionmentioning

confidence: 99%