Governing community forests and the challenge of solving two-level collective action dilemmas—A large-N perspective

The effectiveness of forest governance practices has consequences that range from the local to the global level. In general, the study of community forest governance relies heavily on case-study materials. The strength of single case and small-N comparative studies is related to the ability to uncover the nuances of time and place specific particularities. A recognized weakness of this approach relates to the fact that results cannot easily be extrapolated. For my analysis, I use a large-N, cross-national dataset instead. What constitutes an effective local forest governance regime? I show that especially monitoring – and to a lesser extent, maintenance – is correlated with improving forest conditions. When are effective governance regimes likely to emerge? I show that social capital, organization, leadership and autonomy contribute to the development of institutions for collective action. How does competition between forest users affect governance? I provide empirical evidence that two-level collective action dilemmas hinder the emergence of effective governance regimes.