Many environmental problems such as global warming, biodiversity loss and waste accumulation can be described as large-scale collective action dilemmas. Previous research on collective action in Common Pool Resource settings has demonstrated that institutional structures and social capital are important for successful management of natural resources. The objective of this article is to investigate the effect of such factors on large-scale environmental collective action. The analysis employs survey data and indicators of institutional quality for 22 countries. Two measurements of environmental collective action are used: (1) intermediate group collective action; and (2) latent group environmental action. Findings point to a dominating role for two factors -- institutional quality and membership in voluntary organisations -- as key determinants of participation in both latent and intermediate group environmental collective action. These results are interpreted as indications of a possible decoupling between trust and participation in large-scale collective action. Adapted from the source document.
Unexpected epidemics, abrupt catastrophic shifts in biophysical systems, and economic crises that cascade across national borders and regions are events that challenge the steering capacity of governance at all political levels. This article seeks to extend the applicability of governance theory by developing hypotheses about how different governance types can be expected to handle processes of change characterized by nonlinear dynamics, threshold effects, cascades, and limited predictability. The first part of the article argues the relevance of a complex adaptive system approach and goes on to review how well governance theory acknowledges the intriguing behavior of complex adaptive systems. In the second part, we develop a typology of governance systems based on their adaptive capacities. Finally, we investigate how combinations of governance systems on different levels buffer or weaken the capacity to govern complex adaptive systems. Adapted from the source document.