Networking is an inherent part of the European Union (EU) programme Liaison entre actions de développement de l'économie rurale 1 (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.

Floods are the most common natural disasters worldwide. Much of the growing literature on the impact of floods, especially in developed countries, and to a lesser extent in rural areas of developing countries, concentrates on economic rather than a comprehensive assessment of combined effects on people’s livelihoods. Holistic floods impact assessments are often done long after the shock, raising problems of data reliability following long recall periods, although post-disaster needs assessments when carried out earlier can facilitate appropriate disaster recovery, relief and reconstruction activities. We applied the sustainable livelihoods framework as a comprehensive approach to assess the impacts of the Babessi floods in 2012 on livelihoods in rural (north western region) of Cameroon 6 weeks after the floods. Using a structured questionnaire, data was collected from victims before and after the floods, using recall methods. A matched sample of nonvictims randomly selected from the same village as the victims was used to assess vulnerability to the floods by household type. Floods were found to have serious economic, social, human and food security impacts on victims. Both government and nongovernmental support were jointly crucial for household recovery. Comparatively observed high levels of recovery were attributed to the low loss of human lives. The article concludes with the need for comprehensive approaches to floods impact assessments. The need for combining formal and informal instruments in post-disaster management in rural areas is also emphasised.

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.