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Climate change attributable to human activities has created a global threat to humanity and the natural world. However, there is a tendency for people to view climate change as a threat primarily affecting those in far-away places and there is reluctance to engage in pro-environmental action, which is often costly. It is therefore crucial to understand the factors that shape willingness to engage in pro-environmental behavior. Existing research suggests that personal experience with the consequences of climate change may increase pro-environmental action, however it is unknown whether personal experiences in other non-environmental domains may have similar effects. The circumstances of the Covid-19 pandemic allowed us to conduct a quasi-natural experiment to examine the effects of personal experience with a different global threat, namely Covid-19, on environmental responses. Across two studies conducted among UK and US participants, we found that personal experience of Covid-19 was associated with pro-environmental behavioral intentions, and that this relationship was mediated by increased environmental concern. We found that personal experience with Covid-19 was associated with stronger self-transcendence values of universalism and benevolence, which played a further mediating role between personal experience with the virus and environmental concern. These findings suggest that personal experience with at least some global threats, even when not directly related to climate change, may increase concern for distant others and also sensitize people to environmental issues and motivate pro-environmental action.

AbstractPromoting sustainable lifestyles through Education for Sustainable Development (ESD) is part of the UN’s Agenda 2030. Earlier empirical studies proved direct interactions with and in natural environments to be effective ESD methods. Pandemic-related lockdowns rendered such courses nearly impossible, which raised concerns about achieving the Sustainable Development Goals (SDGs) in general. To evaluate what young learners know about the concept sustainability so far and how it can be taught effectively online, we designed an online learning module tackling sustainability issues and compared it with data from an on-site intervention module for Bavarian 5th graders (~ 10 years old). Cognitive learning as well as attitudinal preferences of 288 learners were monitored in a pretest–posttest design. The learning module comprised two sections: One about botany, plant characteristics, and plant families; the other about the advantages and disadvantages of traditional as well as sustainable farming methods. The customized cognitive test and semantic differentials for sustainability and environmental protection produced three major findings: (1) A digital learning environment successfully and significantly increased sustainability knowledge (2) Learners clearly distinguished the concepts Sustainability and Environmental Protection (3) There is no direct correlation between semantic differential scores and learning outcome.

Increasing disruption and turmoil continuously challenges organizations regarding the achievement of short- and long-term objectives. Such a hostile environment results from both the natural evolution of the business landscape complexity and the emergence of unpredictable disruptive evets such as the COVID-19 pandemic. More than ever, organizations should continuously develop business strategies that help them to become more agile, adaptative, sustainable, and effectively respond to the countless business risks (threats and opportunities). Innovation, such as the development and implementation of new technology, new ways of thinking and executing work, are just some of the major factors that can help organizations to increase their likelihood of success. In this work, is proposed the incorporation of a heuristic risk model into a typical organizational business intelligence architecture, to identify collaborative critical success factors across the different phases of a project life cycle which can be used to guide, monitor, and increase the success outcome likelihood of ongoing and upcoming projects. Some benefits of the incorporation include: a higher speed regarding the collection and treatment process of project collaborative data, the output of more accurate results with residual bias associated, a timely and efficient 360° view regarding the identification of project collaborative risks, and the impact (positive or/and negative) of these on a project’s outputs and outcomes. Finally, the model capabilities of performing descriptive, predictive, and prescriptive analysis, enables the generation of unique and actionable project’s lessons learned which can be used to make more data-informed decisions, and thus enhances the achievement of sustainable competitive advantages. The development and implementation of the proposed incorporation is illustrated with a with a real case study.

The COVID-19 pandemic has been dramatically affecting the life of older adults with care needs and their family caregivers. This study illustrates how the initial outbreak of the pandemic changed the supply of formal and informal care to older adults in European countries and Israel and assesses the resilience of these countries in providing support to their older populations by means of a mix of both types of care. We subjected data from the Survey of Health, Ageing and Retirement in Europe COVID-19 period (SHARE-COVID-19) across 23 European countries (including Israel) to descriptive and cluster analyses. In the first wave of the outbreak, a significant proportion of older adults in European countries received informal help, with an increase in the frequency of informal help received from children, neighbors, friends, or colleagues and a decrease in that received from other relatives. In most countries, difficulties in receiving home care services from professional providers were reported. Seven clusters were identified, reflecting different combinations of changes in the formal/informal care provision. In most countries, informal care is more resilient than home care services that formal providers deliver. Since they are an essential source for sustainable care, their challenges related to care should be addressed. The impact of the pandemic does not follow the traditional characterization of welfare regimes. A clustering effort may yield more understanding of the priorities that future care policies should exhibit at the national level and may identify potential systems for policymakers to enhance sustainability of care for community-dwelling older adults.

The EU implemented the Market Stability Reserve (MSR) in response to the 2008 financial crisis to deal with short-term impacts of future shocks, such as the COVID-19 pandemic. We link a model that intertemporally optimizes the handling of banked allowances every five years with one that simulates the annual working of the EU ETS including the MSR with its potential cancelling. Neglecting the pandemic, 2.16 billion allowances are cancelled. Accounting for the pandemic, 0.28 billion additional allowances are cancelled if the European economy fully recovers by 2021, which even overcompensates the 2020 drop in CO2 emissions. Additional cancelling increases when the pandemics lasts longer, meaning that the MSR even outperforms its initial purpose. Thus, we conclude that no additional policy measures to support abatement are required in response to the COVID-19 pandemic.

The production of food within cities through urban agriculture can be considered as a nature-based solution and is argued to be an important response to the current COVID-19 pandemic as well as to climate change and other urban challenges. However, current research on urban agriculture is still fragmented, calling for a systematic and integrative assessment of different forms of urban agriculture and the drivers and constraints for their effective realization. In this context, the Special Issue presents conceptual and empirical research articles from around the world on the impact and implementation potential of various types of urban agriculture. The studies of this Special Issue cover a broad range of impact and implementation dimensions, asssessment methods and geographical backgrounds that can support future studies to develop a systemic perspective on urban food production.

The spread of the COVID-19 virus had a huge impact on human life on the global scale. Many control measures devoted to decrease contact among people have been adopted to slow down the transmission of the disease. A series of measures have been taken in supermarkets, which include restricting the number of customers, keeping social distance, and entering with a shopping cart. In this work, we investigate with numerical simulations the effectiveness of these measures in reducing the contact among customers. Several scenarios with different control measures are designed for numerical analysis. The movements of customers in a supermarket are simulated by a microscopic model for pedestrian dynamics. Moreover, an index based on the distance between customers is defined to measure the degree of contact and therefore evaluate it quantitatively. The effect of these measures on the average contact degree of each customer is explored, and the spatial distribution of the contact among customers in the supermarket is shown in a qualitative way. Simulation results show that except shopping cart measure, the other two measures are effective in reducing contact among customers.