SocialLab – Nutztierhaltung im Spiegel der Gesellschaft

Christoph‐Schulz, Inken; Brümmer, Nanke; Rovers, Anja‐Karolina; Saggau, Doreen

doi:10.1007/s00003-017-1144-7

Cited by 27 publications

(9 citation statements)

References 16 publications

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“…The latest scientific findings include the observation of consumer behavior when buying meat products at the supermarket (Gier et al, 2018). It is shown that visual stimuli at the point of sale can influence buying behavior.…”

Section: Resultsmentioning

confidence: 99%

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What links neuroscience to agricultural economics? A review of neuroscientific methods literature in agricultural economic research and marketing

Schukat

Diekmann

Heise

2021

IFAM

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Research into consumer behavior is confronted with a multitude of challenges and special features. These become apparent in economic decision-making situations in which actual behavior deviates massively from rational explanatory models, such as the model of homo economicus, or when discrepancies are observed between statements made by individuals and their actions. As a common intersection between the economic and the neurosciences, neuroeconomics investigates human decision-making behavior from a neuroscientific perspective. The focus is particularly on explaining these antagonisms of human behavior and deriving motives. With the help of this potentially expandable knowledge, it is possible to subtly influence individual purchasing decisions at the neural level and to predict consumer behavior at the market level. In agricultural economics, for example in the field of food marketing, neuroeconomics could contribute to more reflective purchasing decisions and thus counteract global health challenges such as obesity. To date, no research has been conducted into the extent to which neuroeconomics has already been applied in agricultural scientific research. The objectives of the article are to provide an aggregated basic knowledge in the field of neuroeconomics, taking into account the applied methods as well as a literary overview of previous research in the context of agricultural economics. The article addresses all those interested in getting an overview of what neuroeconomics entails and how it is already being applied in agricultural research without any prior neuroscience background.

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Section: Resultsmentioning

confidence: 99%

“…Yarkoni et al (2010) even assume that fMRI scanners only detect a small number of actual neuronal activities. Therefore, it would be reasonable to combine the different methods, as is the case, for example, in the study by Gier et al (2018). It is questionable, however, how it can be useful in agricultural economic research.…”

Section: Electrodermal Activitymentioning

confidence: 99%

What links neuroscience to agricultural economics? A review of neuroscientific methods literature in agricultural economic research and marketing

Schukat

Diekmann

Heise

2021

IFAM

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“…Whether they are on the road or parked during mandatory rests, livestock drivers are among the most publicly visible professional groups in animal production of today. One important ambition for the agricultural industry is to engage in societal dialogue ( Christoph-Schulz, 2018 ). However, as discussed by Dürnberger (2019) , successful dialogue cannot be achieved without knowledge to qualify the communication.…”

Section: Discussionmentioning

confidence: 99%

Experiences and opinions of Danish livestock drivers transporting sows regarding fitness for transport and management choices relevant for animal welfare

Thodberg

Gould

Støier

et al. 2020

Translational Animal Science

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Including Denmark, modern pig production typically involves annual culling rates close to 50%. One important professional group in this process are livestock drivers transporting the animals to slaughter. By use of oral interviews, we aimed to describe experiences and opinions of Danish livestock drivers transporting sows, regarding fitness for transport and management choices relevant for animal welfare. All livestock drivers (N = 30) associated with a large slaughterhouse in Denmark accepting sows were approached in person, after having unloaded sows, and asked questions by an interviewer. A total of 22 livestock drivers (73%) answered all questions, constituting of a heterogeneous group of men of varying age, level of experience, time since they achieved the legally required certificate of competence, and daily involvement in sow transportation. Among livestock drivers included in the present study, doubt about fitness for transport was not uncommon, and specific reasons underlying their doubt were listed. All respondents reported to have experienced having to reject loading a cull sow who had been selected for slaughter by a herd manager, and approximately 40% did this several times a year. In contrast, almost 50% had never experienced having a sow rejected by the veterinarian at the slaughterhouse due to lack of fitness for transport. When asked about their management of sows during transportation, the majority (71%) reported using special condition transport (use of extra bedding and partitions to separate individual sows from rest of the load) less than once per month. All respondents considered hot days a problem for welfare of sows and the majority reported to adjust air intake of trucks daily or several times per week. In addition, approximately half of the respondents mentioned stationary periods (e.g., mandatory driver rests) as a challenge to sow welfare, to a degree where they had violated regulation on mandatory driver rests for the sake of welfare of the sows. The present study is among the few to focus on livestock drivers transporting sows, including questions about management choices and the animals’ fitness for transport. The findings may form basis for future development of educational programs for drivers as well as for the formulation of hypotheses for future studies in this area, characterized by complicated underlying legislation and challenges to animal welfare.

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“…Animal protection is a crucial factor in the public acceptance of livestock farming (Christoph-Schulz, 2018;Gauly, 2021). There is increasing pressure from civil society on policymakers to make livestock farming meet scientific and societal requirements for animal protection and environmental protection whilst maintaining competitiveness (Borchert Kommission, 2020).…”

Section: Introductionmentioning

confidence: 99%

Animal Protection and Information Avoidance

Völker¹,

Grüner²

2023

Preprint

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Social scientists are increasingly interested in information avoidance (IA)—the active decision to refrain from information. However, processing information on animal protection in German livestock systems has not been systematically studied before. We close this gap by conducting a web-based survey in Germany with a focus on abdicating responsibility as a potential predictor of IA. As suggested in psychology, we measure IA with the help of several items to reduce measurement error. In our study, both the “sense of responsibility for animal protection” and the “consciousness of animal protection issues” were negatively associated with IA. This contradicts previous studies (e.g., in medicine, food consumption) in which people avoid information that they expect to trigger negative emotions. Our results help to better understand possible market failures (e.g., asymmetric information, moral hazard) and indicate that providing people with more information may have the potential to further increase legal animal pro-tection standards.

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SocialLab – Nutztierhaltung im Spiegel der Gesellschaft

Cited by 27 publications

References 16 publications

What links neuroscience to agricultural economics? A review of neuroscientific methods literature in agricultural economic research and marketing

What links neuroscience to agricultural economics? A review of neuroscientific methods literature in agricultural economic research and marketing

Experiences and opinions of Danish livestock drivers transporting sows regarding fitness for transport and management choices relevant for animal welfare

Animal Protection and Information Avoidance

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