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Aversion to inequality drives support for redistribution policies, study finds

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Aversion to inequality drives support for redistribution policies, study finds


Aversion to inequality drives support for redistribution policies
Association between inequality aversion and support for redistribution. Panels A and B show the effect of advantageous inequality aversion. Panels C and D indicate the effects of disadvantageous inequality aversion. Credit: Proceedings of the National Academy of Sciences (2024). DOI: 10.1073/pnas.2401445121

As income inequality widens, debates around redistribution policies are heating up. New research from the Universities of Zurich, Lille and Copenhagen reveals that support for these policies stems not only from individuals’ financial situations but also from an inherent aversion to inequality.

This finding, published in an article in the Proceedings of the National Academy of Sciences, offers valuable insights into predicting public support for future redistribution policies.

Traditional economic theories assume that individuals only care about their own income when it comes to supporting redistribution policies. However, an international team of researchers from the University of Zurich (UZH), the University of Lille and the University of Copenhagen now challenges this view.

The results of their study show that people’s preferences towards inequality per se play a major role. “By taking into account how much people dislike inequality, we can better predict who will support policies aimed at reducing the income gap,” says Ernst Fehr, corresponding author and director of the UBS Center for Economics in Society at the Department of Economics at UZH.

Attitudes towards inequality vary

People’s aversion to inequality comes in two forms: While some dislike being worse off than others, known as “disadvantageous inequality aversion,” others dislike the existence of poorer individuals, termed “advantageous inequality aversion.” These attitudes vary widely among people, and the understanding of how these preferences shape political support for redistribution policies remains limited.

In the study involving roughly 9,000 Danish participants aged 20 to 64, the researchers measured individuals’ aversion to inequality with a behavioral experiment.

They then linked the results to individuals’ support for politically enforced income redistribution, i.e., policies that reduce income differences, and for charitable giving through documented real-life charitable donations that reveal their private redistribution preferences.

Inequality aversion influences support for redistribution

“Our empirical results show that people who have a stronger dislike of both advantageous and disadvantageous inequality are more likely to support political redistribution,” says Fehr.

However, when it comes to charitable giving, those with a stronger dislike of advantageous inequality are more generous while those with a stronger aversion for disadvantageous inequality are less generous.

“Our findings support the theory of inequality aversion which suggests that many people dislike inequality per se, and that this dislike has important economic and political consequences—both at the societal and the personal level,” Ernst Fehr concludes.

More information:
Thomas F. Epper et al, Inequality aversion predicts support for public and private redistribution, Proceedings of the National Academy of Sciences (2024). DOI: 10.1073/pnas.2401445121

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Aversion to inequality drives support for redistribution policies, study finds (2024, September 19)
retrieved 19 September 2024
from https://phys.org/news/2024-09-aversion-inequality-redistribution-policies.html

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How plants carry environmental clues across generations

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How plants carry environmental clues across generations


The memory in seeds—how plants carry environmental clues across generations
Cyclic Manhattan plots of P values for phenotypic plasticity through the whole Arabidopsis genome (composed of five chromosomes represented by distinct colors) calculated by coFunMap. Credit: Horticulture Research (2024). DOI: 10.1093/hr/uhae172

Phenotypic plasticity enables plants to adjust their physical traits in response to environmental variations, playing a vital role in their survival and adaptability. While past research has primarily focused on how these traits manifest within a single generation, the genetic basis of transgenerational inheritance remains largely unexplored. Addressing this gap is essential to fully understand how plants transmit adaptive traits from one generation to the next.

New research on phenotypic plasticity conducted by teams from Beijing Forestry University and Tsinghua University, was published on June 25, 2024, in Horticulture Research.

Utilizing a nested experimental design, the study explored how maternal light conditions influence the phenotypic traits of Arabidopsis thaliana offspring. By integrating ecological and computational methods, the researchers identified critical genetic regions associated with transgenerational phenotypic plasticity, providing fresh insights into plant adaptation mechanisms.

The study implemented a reciprocal experimental design, cultivating recombinant inbred lines (RILs) of Arabidopsis under high- and low-light conditions. Offspring were then grown in both matching and contrasting light environments. This setup allowed researchers to assess the influence of maternal conditions on traits such as leaf number and to understand how these traits are inherited across generations.

The findings revealed that the genetic framework of phenotypic plasticity evolves between generations and is significantly impacted by maternal environmental experiences. Specific Quantitative Trait Loci (QTLs) linked to phenotypic plasticity were identified, varying with light conditions and generational context. The study underscored a complex interplay between genetic and epigenetic factors that drive these adaptive responses.

Dr. Rongling Wu, the study’s senior author, stated, “Our research provides a detailed view of how plants inherit adaptive traits across generations through both genetic and non-genetic pathways. Recognizing the complex interactions between maternal environments and offspring traits could pave the way for enhancing plant resilience in the face of climate change.”

This research offers critical insights into plant adaptation strategies, which are invaluable for agriculture and environmental conservation. Understanding the genetic and epigenetic foundations of phenotypic plasticity can help breeders and scientists predict plant responses to future environmental challenges, guiding the development of more resilient crops.

The study also enriches our understanding of evolutionary biology, revealing how organisms manage environmental variability across generations.

More information:
Jincan Che et al, A nested reciprocal experimental design to map the genetic architecture of transgenerational phenotypic plasticity, Horticulture Research (2024). DOI: 10.1093/hr/uhae172

Citation:
The memory in seeds: How plants carry environmental clues across generations (2024, September 19)
retrieved 19 September 2024
from https://phys.org/news/2024-09-memory-seeds-environmental-clues-generations.html

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The relationship between emotions and economic decision-making differ across countries, multi-national analysis finds

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The relationship between emotions and economic decision-making differ across countries, multi-national analysis finds


The relationship between emotions and economic decision-making could differ across countries
Cross-country variation in the relationship between positive mood and patience (a) or positive mood and risk taking (b). Credit: Nature Human Behaviour, 2024. DOI: https://doi.org/10.1038/s41562-024-01927-3)

When making economic decisions, humans can be driven by various factors, including their goals and emotions. Past studies have hypothesized that emotions play a crucial role in economic decisions, particularly those that involve risk or trade-offs between immediate and future benefits.

Researchers at Stanford Graduate School of Business, Stanford University and University of Chicago Booth School of Business recently set out to investigate the relationship between emotions and economic choices in greater depth by analyzing a large multi-national dataset.

Their findings, published in Nature Human Behaviour, unveiled distinct patterns in the extent to which emotions predict economic decisions across several countries worldwide.

“In 2019, we encountered a new dataset that measured how individuals make financial decisions around the globe,” Samuel Pertl, co-author of the paper, told Phys.org. “We were fascinated by this dataset, and as we delved deeper, we discovered an additional layer of information that the original research team had not explored: participants’ emotional experiences.

“This aspect intrigued us because most prior research on the influence of emotions on decision-making has been conducted in a few highly developed countries, primarily the U.S. With nationally representative samples from 74 countries, we saw an opportunity to test whether the relationship between emotions and economic decision-making replicates and generalizes on a global scale.”

Some theorists previously proposed that the link between emotions and economic choices could be universal and thus exhibits similar patterns across different countries. The key objective of the recent study by Pertl and his colleagues was to test this hypothesis, by analyzing data from the Gallup World Poll and Global Preferences Survey, two large-scale surveys spanning a total of 74 countries.

“To examine how emotions influence economic decision-making, we employed two different approaches,” explained Pertl. “There are already many existing studies examining how incidental emotions influence individuals’ intertemporal or risky decisions. As a first step, we summarized these studies through a meta-analysis, which pools together existing findings and summarizes them into an average relationship.”

The meta-analysis carried out by the researchers unveiled that most past studies were conducted with non-representative samples, typically from a few Western countries.

The relationship between emotions and economic decision-making could differ across countries
Predictors of cross-country differences in the relationship between positive mood and patience (a and b) or positive mood and risk taking (c and d). Credit: Nature Human Behaviour, 2024. DOI: https://doi.org/10.1038/s41562-024-01927-3

This encouraged them to carry out a global analysis, leveraging large multi-national datasets. Collectively, Pertl and his colleagues analyzed the survey responses of 77,242 individuals residing in 74 countries.

“Each respondent was asked about their emotional experiences—specifically, whether they experienced happiness, enjoyment, sadness, worry, anger, stress or pain during most of the previous day, with each emotion measured separately,” said Pertl.

“The dataset also captured how individuals made economic decisions, such as choosing between a smaller immediate reward versus a larger future reward (intertemporal decision), or between a certain smaller reward versus an uncertain larger reward (risky decision).”

Using statistical methods, the researchers looked at whether emotions predicted the economic decisions of survey respondents, controlling for various factors, including demographics, language differences and geographical location. To determine whether the link between emotions and economic decision-making was in fact universal, they compared the patterns they observed across different countries.

“I believe the most notable finding from our paper is that there is substantial and systematic cross-country variation in whether and how emotions predict economic decision-making,” said Pertl. “For example, it has been proposed that being in a positive mood leads to greater patience (i.e., individuals are more willing to wait for a delayed reward).

“However, our analyses suggest that this relationship is far from universal. We found that while being in a positive mood was associated with greater patience in 53 countries, it was linked to greater impatience in 21 countries.”

Interestingly, Pertl and his colleagues also found that the cross-country differences in the relationships between emotions and economic decision-making can be explained. Specifically, they found that emotions were stronger predictors of economic decisions in more economically developed countries (measured using the Human Development Index) and in more individualistic countries (measured using Hofstede’s Individualism Index).

“Our findings underscore the need for more diverse samples when studying fundamental questions about decision-making,” added Pertl. “While I am now exploring questions in a different research area, my co-authors are still working on several projects related to how emotions influence decision-making.”

More information:
Samuel M. Pertl et al, A multinational analysis of how emotions relate to economic decisions regarding time or risk, Nature Human Behaviour (2024). DOI: 10.1038/s41562-024-01927-3

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The relationship between emotions and economic decision-making differ across countries, multi-national analysis finds (2024, September 19)
retrieved 19 September 2024
from https://phys.org/news/2024-09-relationship-emotions-economic-decision-differ.html

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Scientists mimic cat eyes to create artificial eye that sees better in the dark, detects camouflaged objects

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Scientists mimic cat eyes to create artificial eye that sees better in the dark, detects camouflaged objects


Scientists mimic cat eyes to create artificial eye that sees better in the dark, detects camouflaged objects
Structural and functional features of feline eyes. (A and B) Schematic illustration showing the camouflage-breaking ability of a feline under diverse light condition. (C) Magnified schematic illustration of the tapetum lucidum in the retina. (D) Schematic illustration of the feline eye’s anatomy. (E and F) Schematic illustrations showing the visual ecology of feline and conventional vision during the daytime (E) and nighttime (F). Credit: Science Advances (2024). DOI: 10.1126/sciadv.adp2809

A team of engineers from the Center for Nanoparticle Research, Seoul National University, the Gwangju Institute of Science and Technology and the Korea Institute of Science and Technology, all in Korea, has developed a new type of artificial eye based on natural cat eyes.

In their study published in the journal Science Advances, the group copied two features of cat eyes that give them unique abilities to see in the dark and to detect camouflaged objects.

As the researchers note, cameras installed on drones and robots are based on circular apertures that mimic the human eye, an approach that results in imagery with both a foreground subject and the background kept in focus. This approach sometimes makes it difficult for the camera to keep track of the target object.

Animals, such as cats, use a different approach: They have vertically slitted eyes to capture an asymmetric depth of field. Because of that, the researchers chose to use the cat eye architecture as a means for developing a new type of artificial eye.

Using animal eyes as a template for designing new types of artificial eyes is nothing new, of course—last year, another team of researchers in Korea used the cuttlefish eye as inspiration for the design of a robot eye that could see better in murky, underwater conditions.

Scientists mimic cat eyes to create artificial eye that sees better in the dark, detects camouflaged objects
Imaging demonstration of the feline eye–inspired vision system. Credit: Science Advances (2024). DOI: 10.1126/sciadv.adp2809

For the new approach, the research team designed a vertical aperture, allowing the camera to keep a target in focus while the field behind it remained blurry, allowing for better tracking of target objects during the day.

Cats can see well at night because they have a tapetum lucidum—a reflective layer behind the retina that improves light sensitivity. It is also responsible for making cat eyes appear to shine at night. The researchers gave their artificial eye the same abilities by adding silver metal reflectors behind the image sensor.

Together, the two features give the new camera the ability to see better in the dark and to keep track of target objects, even if they are hidden by camouflage.

More information:
Min Su Kim et al, Feline eye–inspired artificial vision for enhanced camouflage breaking under diverse light conditions, Science Advances (2024). DOI: 10.1126/sciadv.adp2809

© 2024 Science X Network

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Scientists mimic cat eyes to create artificial eye that sees better in the dark, detects camouflaged objects (2024, September 19)
retrieved 19 September 2024
from https://techxplore.com/news/2024-09-scientists-mimic-cat-eyes-artificial.html

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Arctic warming may fuel ice formation in clouds, observations suggest

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Arctic warming may fuel ice formation in clouds, observations suggest


Arctic warming may fuel ice formation in clouds
As surface air temperatures rise above 0°C, snow and ice cover melts, resulting in the appearance of snow/ice-free barren and vegetated areas. These newly exposed surfaces release increased amounts of dust and biological organic aerosols, which have the potential to promote ice crystal formation in clouds. Credit: Yutaka Tobo / National Institute of Polar Research, Japan

The Arctic frequently experiences temperatures that support the formation of mixed-phase clouds that contain supercooled liquid droplets and ice crystals. The composition of such clouds plays a crucial role in the region’s energy balance and climate system. Clouds with more liquid last longer and reflect more sunlight than those with more ice crystals.

With Arctic warming, meteorologists have been interested in determining the effect of rising temperatures on cloud composition and its broader effect on the region. Climate models generally predict that as the Arctic warms, clouds in the region will contain more liquid water and less ice, since warmer temperatures typically suppress the formation of ice crystals.

However, cloud formation is also influenced by the presence of aerosols which act as seeds, both for the condensation of liquid droplets and the formation of ice crystals.

In a study published in Communications Earth & Environment, on 18 September 2024, researchers led by Associate Professor Yutaka Tobo from the National Institute of Polar Research, Japan, investigated the relationship between rising surface air temperatures and aerosols known as ice-nucleating particles (INPs), which are known to promote ice crystal formation in clouds.

They found that surface warming in the Arctic leads to an increase in snow and ice-free areas, which release higher amounts of active INPs. These INPs can induce ice formation in clouds, reducing the liquid water content in mixed-phase clouds and potentially accelerating further warming.

“We found that the INPs tended to increase exponentially with rising surface air temperatures when the temperatures rose above 0°C and snow/ice-free barren areas and vegetated areas appeared in Svalbard, a region experiencing warming five to seven times faster than the global average,” says Associate Professor Tobo.

The observations are based on year-round measurements of INPs taken during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) project period from September 2019 to early-October 2020 at the Zeppelin Observatory in Svalbard. To identify the number of INPs, the researchers collected aerosol samples and used an established droplet-freezing method, where the samples were exposed to cold conditions to see if they could form ice.

They observed that the number of INPs increased during the warmer months (mid-April to September), when surface air temperatures were above 0°C. Using scanning electron microscopy with energy-dispersive X-ray analysis, they found that the INPs observed in the warmer months were mainly mineral dust and carbonaceous particles, resembling microorganisms or plant debris.

So, where did these aerosols come from? The Normalized Difference Vegetation Index (NDVI) data, which indicates vegetation density, revealed that in the summer, about 35% of Svalbard had positive NDVI values between 0 and 0.5, indicating snow-free barren areas like glacial outwash plains and vegetated areas with grasses, mosses, and lichens. The findings suggest that the INPs are the dust and biological organic aerosols, such as microorganisms or plant debris, released from these regions.

The findings are concerning because winter warming trends are even more severe than in summer, with temperatures increasing by more than 2°C per decade in Svalbard. As snow and ice-free areas become more common in the Arctic winter in the coming decades, INP emissions will likely increase, changing the composition of mixed-phase clouds.

“Our results suggest the possibility that the supply of highly active INPs from high-latitude terrestrial sources will increase in response to the projected surface warming, and thus, this effect needs to be considered in climate models to improve our understanding of the phase transition scenario of Arctic mixed-phase clouds,” concludes Associate Professor Tobo.

More information:
Tobo, Y., et al. Surface warming in Svalbard may have led to increases in highly active ice nucleating particles, Communications Earth & Environment (2024). DOI: 10.1038/s43247-024-01677-0. www.nature.com/articles/s43247-024-01677-0

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Citation:
Arctic warming may fuel ice formation in clouds, observations suggest (2024, September 19)
retrieved 19 September 2024
from https://phys.org/news/2024-09-arctic-fuel-ice-formation-clouds.html

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