Microplastics in seafood: Consumer preferences and valuation for mitigation technologies.

Microplastics, an emerging pollutant, have garnered widespread attention due to potential repercussions on human health and the environment. Given the critical role of seafood in food security, growing concerns about microplastics might be detrimental to meeting future global food demand. This study employed a discrete choice experiment to investigate Chilean consumers' preferences for technology aimed at mitigating microplastic levels in mussels. Using a between-subjects design with information treatments, we examined the impact of informing consumers about potential human health and environmental effects linked to microplastics pollution on their valuation for the technology. We found that the information treatments increased consumers' willingness to pay for mussels. Specifically, consumers were willing to pay a premium of around US$ 4 for 250 g of mussel meat with a 90 % depuration efficiency certification. The provision of health impact information increased the price premium by 56 %, while the provision of environmental information increased it by 21 %. Furthermore, combined health and environmental information significantly increased the probability of non-purchasing behavior by 22.8 % and the risk perception of microplastics for human health by 5.8 %. These results emphasized the critical role of information in shaping consumer preferences and provided evidence for validating investment in research and development related to microplastic pollution mitigation measures.

The mental burden of stay-at-home order extensions during COVID-19.

This study evaluates the psychological impact of stay-at-home extension orders during COVID-19 and its relationship with individuals' expectations on the duration of the extensions. An online survey was administered to 1259 US adult residents to measure symptoms of post-traumatic stress disorder (PTSD), anxiety and stress induced by different stay-at-home order extensions using hypothetical length scenarios. We find that individuals exposed to two 2-week order extensions exhibit higher levels of stress and anxiety compared to those exposed to a single 4-week extension. We also find that subjects with longer expected extensions exhibit more signs of psychological damage than those with shorter expected extensions. Furthermore, we find that the negative psychological consequences of providing two shorter extensions is observed only among subjects with extension expectations of four weeks or less. Our results demonstrate that people's expectations affect the level of psychological damage caused by lockdown mandates. Our findings suggest that whenever lockdown extensions are necessary, reduced psychological distress may be possible by implementing a one-time restriction, rather than extending multiple smaller extensions perhaps due to manipulation of personal expectations.

Effect of saline intrusion on rice production in the Mekong River Delta.

Saline intrusion is increasingly threatening the rice farming system in The Mekong River Delta (MRD). Identifying the impact of this disaster on rice farming and providing promptly adaptable solutions is an urgent issue. This study evaluates the influence of saline intrusion on rice productivity of households in the MRD. We utilize the quasi-experimental method, the difference-in-difference (DID) method, with farm level panel data on rice farming extracted from the Vietnam Household Living Standards Survey (VHLSS) in 2014 and 2016. The empirical results indicate that households affected by saline intrusion have lower total production and lower productivity compared to the unaffected group. The affected group has lower total revenue of approximately 4969.8 thousand VND per ha and lower net revenue, on an average of 4679.3 thousand VND per ha, compared to the comparable unaffected group. Among the subsamples of different regions, the damage magnitude of households in severely affected regions by salinity intrusion is higher than in less severely affected areas. Some policy implications that can be proposed from this research are that the management agency should continue to update information on weather and climate change scenarios for forecasting and timely information for rice farmers. The agency comprehensively evaluates the effectiveness of transformed models of sustainable agricultural production adapted to salinity intrusion and replicates high-effective production models; restructure rice cultivation following the salinity intrusion level of each locality.

Did mental and emotional health of SNAP families' children improve during the COVID-19 pandemic?

The onset of the COVID-19 pandemic disproportionately affected low-income households in the United States. As part of the government's response to the pandemic, households with children participating in the Supplemental Nutrition Assistance Program (SNAP) benefited from several temporary provisions. This study examines whether the mental/emotional well-being of children in SNAP families was influenced by the SNAP temporary provisions, overall and across subpopulations by race/ethnicity and school meal programs (SMP) participation status of children. Cross-sectional data from the 2016-2020 National Survey of Children Health (NSCH) were used to study the occurrence of mental, emotional, developmental, or behavioral (MEDB) health of children (6-17 years) in SNAP families. Difference-in-Differences (DID) analyses were conducted to assess the association between MEDB health of children in SNAP families and the implementation of the SNAP provisions. Overall, finding show that between 2016 and 2020, children in SNAP families were more likely to face adverse MEDB conditions than children in non-SNAP families (p < 0.05). DID analyses indicate that children's MEDB health was not statistically affected following the first year of SNAP temporary provisions (p > 0.1). Additionally, no differential results were found by race/ethnicity of children or SMP participation (p > 0.1). Results are robust to the use of different well-being measures. These results suggest that SNAP provisions may have been associated with the reduction of the adverse effects of the pandemic on children's well-being.

US workers' willingness to accept meatpacking jobs amid the COVID-19 pandemic.

We implement a discrete choice experiment to examine the impact of COVID-19 exposure risk, unemployment risk, enhanced and extended unemployment benefits, and job attributes on low-skilled workers' willingness to accept (WTA) meatpacking jobs. With a sample average WTA wage of $22.77/h, the current national average meatpacking wage of approximately $15/h is too low for these workers to consider this employment opportunity. Enhanced layoff risk and exposure to COVID-19 further deterred respondents, while health insurance, retirement benefits, and a signing bonus enhanced respondents' WTA. The additional unemployment benefits of the CARES Act neither deterred nor encouraged respondents WTA.

Health versus income amid COVID-19: What do people value more?

Public efforts to battle COVID-19 have been portrayed as a trade-off between health and the economy in the U.S. public discourse. We investigate how the U.S. general public prioritizes the health and the income dimensions amid COVID-19 using an incentivized instrument with real monetary consequences. We also employ between-subject information treatments highlighting negative health and income consequences of the pandemic. Specifically, participants have to divide monetary contributions between two charitable organizations representing either the health or the income dimension. An overwhelming majority of participants supports both dimensions, with higher monetary contributions to the health dimension (56%) compared to income (44%), but the difference is not large. Only a small fraction of respondents contributes exclusively to the health (10%) or income (5%) dimensions. Increasing the salience of negative health outcomes of COVID-19 raises differential token allocations in favor of the health-oriented charity. This finding is important since the course of COVID-19 will be shaped by the policies governments implement and how the general public reacts to these policies.

Evaluation of Delivering Breakfast After the Bell and Academic Performance Among Third-Grade Children: An Application of the Synthetic Control Method.

BACKGROUND: Breakfast after the bell (BAB), an alternative way to deliver breakfast after the school day begins, has been shown to increase participation in the School Breakfast Program. However, BAB occupies time that could otherwise be used for instruction and may affect academic performance. This study examined whether BAB affects math and literacy scores in third grade, an age not adequately studied in earlier literature. METHODS: Using data on Arkansas students, we compared schools adopting BAB to corresponding "synthetic" control schools by minimizing preadoption differences in observables that can influence test scores. RESULTS: We found little evidence of positive or negative effects on test scores. We also found little evidence of meaningful program effects over subsamples of schools by district enrollment size and BAB delivery method. Schools that adopted grab-and-go delivery and schools in districts with small enrollments, less than 600 students, showed statistically negative effects on math after BAB adoption. However, these effects were transitory and no longer present by the time the first fully exposed cohort reached third grade. CONCLUSIONS: BAB can be incorporated into the school day without adversely impacting academic achievement, especially if adopting schools seek input from educators and nutrition personnel already experienced with BAB.

Impact of Weight Status Reporting on Childhood Body Mass Index.

Background: Many states have adopted school-based BMI screening or surveillance programs in an effort to address high rates of childhood obesity, some of which involve provision of confidential BMI reports to parents. While there is evidence that parents are attuned to information in the reports, there is less evidence showing that the reports are effective in preventing excess childhood weight gain. Methods: Data from Arkansas, the state with the nation's first and longest running and BMI screening program, were used to measure the impact of BMI reports. This was done through a regression discontinuity design that compared future BMI z-scores among children falling within a narrow band around the obese and overweight thresholds. We derived the effects of BMI reports by comparing students who received different types of reports around the relevant threshold. Results: While we are unable to detect any differences in BMI z-scores between the children who received the overweight report and the children who received the healthy weight report, we detected some differences between children who received the obese report and children who received the overweight report. These findings hold across subsamples by age, minority status, and school meal status. Conclusions: Based on these data, overweight or obese reports to do not meaningfully impact future BMI z-scores. This may be due, in part, to the format of parental reports, which may dampen the surprise element of an overweight or obese report.

On the stability of risk and time preferences amid the COVID-19 pandemic.

We elicited incentivized measures of risk and time preferences from a sample of undergraduate students in Athens, Greece, in waves that preceded and overlapped with the COVID-19 pandemic. We exploited the timing of several events that occurred in the course of the pandemic (e.g., first occurrence of cases and deaths, curfew, relaxation of curfew etc.) and estimated structural parameters for various theories of risk and time preferences comparing these with pre-pandemic estimates. We find no effect between the different waves or other key events of the pandemic, despite the fact that we have about 1000 responses across all waves. Overall, our subjects exhibit intertemporal stability of risk and time preferences despite the significant effect of the COVID-19 pandemic on public health and the global economy. Supplementary Information: The online version contains supplementary material available at 10.1007/s10683-021-09727-6.

Food insecurity during the COVID-19 pandemic: evidence from a survey of low-income Americans.

The COVID-19 pandemic significantly increased food insecurity despite emergency legislation that put more resources into food assistance programs, increased unemployment benefits, and provided stimulus payments. We conducted a survey in the US on food insecurity among low-income Americans during the early months of the pandemic. While we cannot estimate causal effects, we are able to show important associations between food insecurity and nutritional and economic assistance that highlight the need to ensure that those newly at risk for food insecurity are able to connect to resources. For example, our results indicate that those who lost jobs due to the pandemic reported the highest level of food insecurity and also the lowest engagement with food assistance programs. The SNAP expansion appears to be important only among groups with higher levels of income stability including non-minority households and those not experiencing a job loss. Thus, the SNAP expansion may not have had a meaningful impact on those most at risk for food insecurity. Finally, our data highlight the importance of school meal programs during normal times. Those who took advantage of school meals before the outbreak are more likely to have experienced food insecurity during the pandemic-related school closures.

The Influence of a Climate Change Narrative on the Stated Preferences for Long-term Groundwater Management.

The literature identifies cultural values and beliefs as key drivers of climate change risk perception, but evidence is lacking about how media narratives and cultural values influence preferences for adapting to environmental consequences of climate change, including groundwater shortage. We elicited groundwater preferences using a choice experiment survey involving outcomes of the Mississippi River Valley Alluvial Aquifer. We randomly assigned respondents to an individualistic cultural narrative about climate change to test for framing effects predicted by culturally congruent and incongruent messaging. Results suggest that culturally incongruent messaging (i.e., to non-individualists) emboldens opposition and makes promoted groundwater policies less tractable. This is instructive to policy makers that identifying different stakeholders and avoiding incongruent messages about climate change could improve the effectiveness of collaborative water governance.

The effect of gender-specific labor market conditions on children's weight.

BACKGROUND: Macroeconomic conditions are widely known to influence health outcomes through direct behavioral change or indirect mental effects of individuals. However, they have not received much attention in relation to childhood obesity. METHODS: Using gender-specific predicted employment growth rates as an index for labor market conditions, we analyze how economic shocks affect children's weight status in Arkansas. To understand the underlying mechanisms behind these results, we use data on individual time use to examine how economic shocks are related to activities related to children's weight. RESULTS: Improvement in the female labor market is associated with an increase in body mass index (BMI) and the probability that a child is overweight or obese, while an improvement in the male labor market has no significant effects on children's weight. This impact is particularly evident among female children, older children, and African-American children. We also find a negative effect of improvements in the female labor market on time spent on preparation for foods at home. CONCLUSIONS: These results suggest that a decrease in time spent preparing home-cooked foods might be a plausible explanation for the pro-cyclical relationship between children's weight and improvement in the labor market conditions. Thus, the policy implications of our paper should be aimed at mitigating the adverse effects of women's labor participation.

A longitudinal analysis of fast-food exposure on child weight outcomes: Identifying causality through school transitions.

This article investigates the effect of fast-food availability on childhood weight outcomes by gender, race, and location. We use a novel identification strategy based on changes in fast-food exposure along the route between the home and school that occur as students progress through the public school system and transition to different types of schools, e.g. from elementary school to intermediate school or from intermediate school to high school. Using a longitudinal census of height and weight for public school students in Arkansas, we find no evidence that changes in fast-food exposure are associated with changes in body mass index z-score for any student subpopulation.

The association between food insecurity and mental health during the COVID-19 pandemic.

OBJECTIVE: To explore the association between food insecurity and mental health outcomes among low-income Americans during the COVID-19 pandemic. METHODS: We conducted a survey of 2714 low-income respondents nationwide from June 29, 2020 to July 21, 2020. A proportional odds logit model was employed to estimate the associations between food insecurity and anxiety and between food insecurity and depression. RESULTS: Food insecurity is associated with a 257% higher risk of anxiety and a 253% higher risk of depression. Losing a job during the pandemic is associated with a 32% increase in risk for anxiety and a 27% increase in risk for depression. CONCLUSIONS: Food insecurity caused by the pandemic was associated with increased risk of mental illness. The relative risk of mental illness from being food insecure is almost three-fold that of losing a job during the pandemic. Public health measures should focus on getting direct subsidies of food purchases to poor families, especially families with children. They should also reduce the stigma and shame that is associated with accepting charitable foods.

Use of Machine Learning to Determine the Information Value of a BMI Screening Program.

INTRODUCTION: Childhood obesity continues to be a significant public health issue in the U.S. and is associated with short- and long-term adverse health outcomes. A number of states have implemented school-based BMI screening programs. However, these programs have been criticized for not being effective in improving students' BMI or reducing childhood obesity. One potential benefit, however, of screening programs is the identification of younger children at risk of obesity as they age. METHODS: This study used a unique panel data set from the BMI screening program for public school children in the state of Arkansas collected from 2003 to 2004 through the 2018-2019 academic years and analyzed in 2020. Machine learning algorithms were applied to understand the informational value of BMI screening. Specifically, this study evaluated the importance of BMI information during kindergarten to the accurate prediction of childhood obesity by the 4th grade. RESULTS: Kindergarten BMI z-score is the most important predictor of obesity by the 4th grade and is much more important to prediction than sociodemographic and socioeconomic variables that would otherwise be available to policymakers in the absence of the screening program. Including the kindergarten BMI z-score of students in the model meaningfully increases the accuracy of the prediction. CONCLUSIONS: Data from the Arkansas BMI screening program greatly improve the ability to identify children at greatest risk of future obesity to the extent that better prediction can be translated into more effective policy and better health outcomes. This is a heretofore unexamined benefit of school-based BMI screening.

Consumer Comprehension of the Nutrition Facts Label: A Comparison of the Original and Updated Labels.

PURPOSE: Compare consumers' overall label comprehension of the original Nutrition Facts (NF) label with the updated label. DESIGN: Online survey conducted in 2019. Participants randomly assigned to original label, updated-single column, or updated-dual column labeling condition and asked to complete a series of label comprehension questions. SETTING: Online survey; participants recruited through Prolific. SAMPLE: N = 992 U.S. adults. Sample similar to U.S. population in terms of sex (49.2% female), race (73.3% White/Caucasian), and household size (mean = 2.7 members). However, sample was younger (median age: 29.0), more educated (98.8% high school graduate or higher), and exhibited a lower rate of obesity (22.6% obese) than the U.S. population. MEASURES: Dependent variables: objective (% correct) NF label comprehension. Independent variables: label condition, nutrition knowledge, and socio-demographic variables. ANALYSIS: Regression analysis assessed relationships between label condition and label comprehension. Significance level of 5% used for analyses. RESULTS: Average score for objective comprehension was 81.4%. The updates did not significantly improve label comprehension. Participants in the updated NF label conditions had trouble answering questions related to total and added sugars. CONCLUSIONS: Results suggest consumers may struggle to correctly utilize information on the updated NF label, specifically total and added sugars. Consumers may benefit from educational opportunities on using the new label.

Labor Issues in the Food Supply Chain Amid the COVID-19 Pandemic.

The impacts of COVID-19 on labor in the food supply chain and on workers' decisions to accept essential jobs are discussed. We then analyze surveys administered to low-skilled domestic workers before and during the pandemic to assess respondents' attitudes toward food production, guest workers, immigration policy, and the government's response to COVID-19. Results suggest the outbreak resulted in respondents, on average, shifting their view toward food being a national security issue and a higher degree of empathy for H-2A workers. Regression analysis shows that gender, current agricultural workers, and information on COVID-19 and agricultural field workers influenced respondents' answers.

Promoting higher social distancing and stay-at-home decisions during COVID-19: The underlying conflict between public health and the economy.

Social distancing and stay-at-home orders were implemented as a quick response to the public health crisis created by COVID-19. However, these measures led to competing concerns for public health versus the wellbeing of the economy during the pandemic. This drove polarized views and attitudes towards these measures in the US that threatened their effectiveness in controlling the spread of infections. Our study addresses this point by investigating uptake of messaging treatments that highlight the health risks of COVID-19. We also investigate how priming economic risk of COVID-19 affects responsiveness to the health information messaging. A sample of 1200 US respondents were randomly assigned to a control and four messaging treatments that included information about risks of COVID-19 on own health, public health, the economy, and combination of public health and the economy, respectively. Our results indicate a significant difference in messaging uptake based on political partisanship. Individuals identifying as Democrats increased their social distancing and stay-at-home decisions in response to all information treatments, contrary to Republicans who showed no significant change in their behavior. Using a latent class analysis model, we classify individuals into three main types (dismissive, amenable, and conscious) that differ in their perceptions of the risks associated with COVID-19. We show that only amenable individuals, who account for approximately 34% of the sample, respond significantly to the messaging treatments.

Understanding the importance and timing of panic buying among U.S. Households during the COVID-19 pandemic.

The surge in panic buying during the novel Coronavirus (COVID-19) pandemic led to a temporary shortage of several staples and basic supplies in grocery stores, thus limiting the public's access to basic needs and exacerbating stress and anxiety. The negative societal consequences of panic buying highlight the importance of understanding and planning for such behavior. This study investigates the main factors that correlate with the perceived importance and timing of panic buying decisions in the US. In doing so, we provide a breakdown of the importance of panic buying across a list of common food and non-food grocery items and show a considerable variation based on product type. We also uncover heterogeneities in the importance and timing of panic buying based on demographic and behavioral characteristics, including residence area, household size, presence of children and elderly in the household, household income, ethnicity, and specific views about COVID-19. Finally, we analyze correlations between the importance of panic buying and various motivations that are believed to underlie this behavior. Results show that the perceived importance of panic buying is most heavily associated with the need for control, belief that it is the smart thing to do, and urge to minimize number of trips to grocery stores.

Impact of Covid-19 on Household Food Waste: The Case of Italy.

Covid-19 has significantly affected people's food purchasing and consumption habits. Fears of disruptions in the food supply chain have caused an increase in the quantity and type of food bought by households. However, increases in food purchases could give rise to food waste with negative ramifications for the environment in terms of greenhouse emissions and groundwater pollution. To assess whether household food waste has changed during Covid-19 lockdown, we conducted a nationwide survey of household food purchasers in Italy. Although the amount of food purchases increased during the lockdown, our results show that food waste actually decreased as people mainly bought more non-perishable food. Interestingly, concerns about the impact that the pandemic could have on the waste management system and the desire not to add pressure to the waste management system are key drivers of decreased food waste in Italy during the pandemic. Our findings seem to suggest that Italian consumers are developing a new level of awareness about food waste with potential positive impacts on the environment in terms of reducing greenhouse gas emissions and groundwater pollution.