Corrigendum to "Vulnerability assessment of food imports-conceptual framework and empirical application to the case of Switzerland" [Heliyon Volume 10, Issue 5, 23 February 2024, e27058].

[This corrects the article DOI: 10.1016/j.heliyon.2024.e27058.].

Vulnerability assessment of food imports-Conceptual framework and empirical application to the case of Switzerland.

The world's food supply is becoming increasingly vulnerable because of rising political and climatic crises. To identify food supply vulnerabilities at an early stage, this paper proposes a multifactorial and standardized import vulnerability index (IVI). The IVI encompasses (i) an exporter vulnerability index (EVI) consisting of four exporter-specific factors and (ii) a product vulnerability index (PVI) consisting of three product-specific factors. We applied a robust principal component analysis to derive weights to combine these individual factors into a standardized IVI. The IVI was applied to food import-dependent Switzerland from 2014 to 2019 as an empirical case study. The results showed that a large share of Swiss food imports mainly originated from neighboring countries, indicating a very low to moderate EVI. Regarding the PVI, only product groups that were imported from a small number of countries (e.g., oilseeds) or that showed a low self-sufficiency ratio (e.g., coffee) or high price volatility (e.g., meat) exhibited a high value. Moreover, the findings demonstrate that the IVI showed neither large fluctuations nor a decreasing or increasing trend. With regular updates, the proposed indicator can become a valuable monitoring tool for food supply security.

Determinants of the decision to build up excessive food stocks in the COVID-19 crisis.

In 2020, the first COVID-19 lockdowns resulted in food panic buying and excessive food stockpiling across many countries around the world. Many governments recommend keeping emergency food stocks for three to ten days for times of potential shortages in food supply. Based on data from an online survey conducted among Swiss inhabitants, we investigated the effect of knowledge level and stockpiling behaviour according to governmental stockpiling recommendations in normal times on the decision to build up more food stocks than usual during the first lockdown in 2020. For this purpose, we applied a combination of latent class analysis and logistic regression. Latent classes were constructed based on knowledge level and stockpiling behaviour according to governmental stockpiling recommendations in normal times. Subsequently, the information on class membership was used as predictor of the decision to excessively stockpile food during the first lockdown. The variable "class membership" revealed that respondents with a low knowledge level and food stocks below governmental recommendations in normal times had a 7.6 percentage points lower probability of excessively stockpiling food during the first lockdown than respondents with a high knowledge level and recommended food stocks in normal times. Excessive stockpiling was additionally driven by the worry that certain food products would disappear from the supermarket shelves entirely or would be in short supply. Moreover, regression results revealed that respondents who reduced their shopping frequency during the first lockdown in 2020 showed a higher probability of building up more food stocks than usual. Our findings are crucial for food suppliers and policymakers to understand the drivers of panic buying and to prevent this phenomenon in future crises.

How did the COVID-19 pandemic influence health-related behaviour? An online survey on food choice, physical activity and changes in body weight among Swiss adults.

The COVID-19 pandemic has affected all aspects of our everyday lives. To investigate these behaviour changes, an online survey was conducted with 1'028 individuals (51% female) in Switzerland between June and July 2020. The questions referred in particular to the lockdown in spring 2020. We put specific focus on the pandemic's impact on health-related behaviour, which includes food choice, physical activity and body weight management. For instance, participants reported whether and how their consumption of different foods changed during the lockdown. As a measure of healthy food choice, we chose consumption of vegetables and salad and in contrast, sweet snacks and alcohol consumption was used as a measure for unhealthy food choice. For physical activity and body weight, participants indicated whether it decreased, increased or did not change during the lockdown as compared before. In a next step, we investigated the influence of various predictors on health-related behaviour using multinomial logistic regression models. We find that the possibility to work remotely led to healthier food choices, that is, a reported increase in vegetable consumption and decrease in sweet snack consumption, but also to more unhealthy food choices and lifestyles, that is, a reported increase in alcohol consumption as well as an increase in sweet snack consumption. For weight change, the data indicated that individuals who worked remotely were more likely to gain or lose weight than individuals working from the office. Our findings demonstrate how individuals are affected differently by the pandemic and how complex the whole picture is. Further, these results are crucial in developing health recommendations for possible future lockdowns or health crises in general.

The Old Man and the Meat: On Gender Differences in Meat Consumption across Stages of Human Life.

It is not a radically new insight that men eat more meat than women do. However, one piece of the puzzle was previously missing: the development of a gender bias in total and red meat consumption across stages of human life. To identify the gender bias across stages of human life, we apply a multiple-group regression across seven age classes. Data for the empirical analysis stem from the US National Health and Nutrition Examination Survey. Regression results reveal that gender differences in meat consumption start only after the age of four and then move in some parallel with the development of biological differences, reaching a maximum between 51 and 65 years. The effect of both household income and education on meat consumption is negative and per-capita consumption of meat rises with household size.

Empirical evidence on factors influencing farmers' administrative burden: A structural equation modeling approach.

Direct payments represent a large share of Swiss farmers' total household income but compliance with related requirements often entails a high administrative burden. This causes individuals to experience policy implementation as onerous. Based on a framework for administrative burden in citizen-state interactions, we test whether farmers' individual knowledge, psychological costs and compliance costs help to explain their perception of administrative burden related to direct payments. We refine this framework by testing different specifications of interrelations between psychological costs and perceived administrative burden based on findings from policy feedback theory and education research. Structural Equation Modeling (SEM) is applied to data collected from a representative sample of 808 Swiss farmers by postal questionnaire in 2019. We find that compliance costs and psychological costs contribute significantly to the perceived administrative burden. In contrast, farmers' knowledge level contributes to this perception not directly but indirectly, with higher knowledge reducing psychological costs. Our results support policy feedback theory, in that a high level of administrative burden increases psychological costs. Furthermore, well-educated and well-informed farmers show a more positive attitude toward agricultural policy and thus perceive administrative tasks as less onerous. Policy-makers should invest in the reduction of administrative requirements to reduce compliance costs.