COVID-19: Large-scale collective action, government intervention, and the importance of trust.

In this article we apply a large-scale collective action framework on the spread of the COVID-19 virus. We compare the pandemic with other large-scale collective action problems - such as climate change, antimicrobial resistance and biodiversity loss - which are identified by the number of actors involved (the more actors, the larger the scale); the problem's complexity; and the spatial and temporal distance between the actors causing and being affected by the problem. The greater the extent of these characteristics, the larger the scale of the collective action problem and the smaller the probability of spontaneous collective action. We argue that by unpacking the social dilemma logic underlying the spread of the COVID-19 virus, we can better understand the great variation in policy responses worldwide, e.g., why some countries are adopting harsher policies and enforcing them, while others tend to rely more on recommendations. We claim that one key factor is trust and, more precisely, reciprocal trust, both horizontally among people and also vertically between people and their governments - and vice versa. Citizens must trust that the recommendations they receive from the public authorities are correct, that these are in their (or the collective's) best interest, and that most others will follow the recommendations. Simultaneously, government authorities must trust that their citizens will transform the recommendations into collective action. When this situation is present, we argue that governments enjoy a large degree of collective action capital, which potentially open up for a wider palette of policy options.

On the preconditions for large-scale collective action.

The phenomenon of collective action and the origin of collective action problems have been extensively and systematically studied in the social sciences. Yet, while we have substantial knowledge about the factors promoting collective action at the local level, we know far less about how these insights travel to large-scale collective action problems. Such problems, however, are at the heart of humanity's most pressing challenges, including climate change, large-scale natural resource depletion, biodiversity loss, nuclear proliferation, antibiotic resistance due to overconsumption of antibiotics, and pollution. In this paper, we suggest an analytical framework that captures the theoretical understanding of preconditions for large-scale collective action. This analytical framework aims at supporting future empirical analyses of how to cope with and overcome larger-scale collective action problems. More specifically, we (i) define and describe the main characteristics of a large-scale collective action problem and (ii) explain why voluntary and, in particular, spontaneous large-scale collective action among individual actors becomes more improbable as the collective action problem becomes larger, thus demanding interventions by an external authority (a third party) for such action to be generated. Based on this, we (iii) outline an analytical framework that illustrates the connection between third-party interventions and large-scale collective action. We conclude by suggesting avenues for future research.