Networking is an inherent part of the European Union (EU) programme Liaison entre actions de développement de l'économie rurale¹ (LEADER): through supporting local partnerships, EU‐wide cooperation and information exchange, LEADER aims at strengthening the socioeconomic development of rural regions and improving local governance. Employing Social Network Analysis, we assess how key LEADER features, such as the bottom‐up and the participatory approach, are implemented in a new EU Member State. Focusing on the relevance of social networks for LEADER in Romania, we find that the complexity of the programme, weak administrative networks, political influence, and heritage of the socialist era inhibit the smooth introduction of the LEADER instrument. Clearly, founding formal partnerships and better governance remain generally challenging. While bottom‐up regional networks can more easily establish social capital, initiatives steered by the communal administration are more competitive in the selection for funding, but tend to neglect participation.

Surging extreme events, particularly floods, have stimulated growing research on their epidemiology, management, and effects on livelihoods in Sub-Saharan Africa (SSA), especially for agriculture-dependent households. Unfortunately, the topical literature is still characterized by independent, isolated cases, with limited relevance to understanding common flood effects across geographical space and time. We bridge this knowledge gap by analyzing the effects of multiple cases of flash, coastal and riverine-cum-pluvial (‘complex’) floods on agriculture-dependent livelihoods in three (Sudano Sahelian, Coastal and Western Highlands) geo-ecological zones in Cameroon. The analysis makes use of a sample of 2134 flood victims (1000 of them in the Sudano-Sahelian, 242 in the Coastal, and 892 in the Western Highlands zones) of 26 independent community floods: 11 in the Sudano-Sahelian, 3 in the Coastal, and 12 in the Western Highlands zone. Irrespective of flood type and geo-ecology, agriculture-dependent livelihoods were gravely impaired. However, the impacts on livelihoods and public goods (such as road or communication systems) significantly varied in the different geo-ecological zones. The study concludes with the need to include context-specificity in the flood impact assessment equation, while identifying common effects, as is the case with agriculture in this study. We emphasize the need to up-scale and comparatively analyze flood effects across space and time to better inform flood management policies across SSA.

Although risk perception of natural hazards has been identified as an important determinant for sound policy design, there is limited empirical research on it in developing countries. This article narrows the empirical literature gap. It draws from Babessi, a rural town in the Northwest Region of Cameroon. Babessi was hit by a severe flash flood in 2012. The cross-disciplinary lens applied here deciphers the complexity arising from flood hazards, often embedded in contexts characterized by poverty, a state that is constrained in disaster relief, and market-based solutions being absent. Primary data were collected via snowball sampling. Multinomial logistic regression analysis suggests that individuals with leadership functions, for example, heads of households, perceive flood risk higher, probably due to their role as household providers. We found that risk perception is linked to location, which in turn is associated with religious affiliation. Christians perceive floods riskier than Muslims because the former traditionally reside at the foot of hills and the latter uphill; rendering Muslims less exposed and eventually less affected by floods. Finally, public disaster relief appears to have built up trust and subsequently reduced risk perception, even if some victims remained skeptical of state disaster relief. This indicates strong potential benefits of public transfers for flood risk management in developing countries.