In Nicaragua and elsewhere in Central America, small-scale farmers are weighing the risks of entering into contracts with supermarket chains. We use unique data on negotiated prices from Nicaraguan farm cooperatives supplying supermarkets to study the impact of supply agreements on producers' mean output prices and price stability. We find that prices paid by the domestic retail chain approximate the traditional market in mean and variance. In contrast, we find that mean prices paid by Wal-mart are significantly lower than the traditional market but that Wal-Mart systematically reduces price volatility compared with the traditional market. We find some evidence, however, that farmers may be paying too much for this contractual insurance against price variation.

This paper evaluates the determinants and impact of adopting the metal silo-a postharvest storage technology for staple grains-which was disseminated by the Swiss Agency for Development and Cooperation (SDC) from 1983 to 2003 in four Central American countries. The aim of the SDC program was to diminish smallholder farmers' postharvest losses by facilitating the manufacture and dissemination of metal silos and thereby to improve regional food security. Our empirical analysis is based on a unique data set obtained from a survey of 1,600 households from El Salvador, Guatemala, Honduras and Nicaragua. We employed a double-hurdle model to identify factors that contributed to the adoption of metal silos and used Tobit and standard regression models to assess the impact of adopting the silos on food security and well-being of households. Our results show that both the household demand for metal silos and the impact of their adoption varied across the four countries, demonstrating the relevance of regional policies for their adoption, as well as their impact. Furthermore, our results indicate that, in addition to achieving household self-sufficiency in maize, the main determinants of adoption were household socioeconomic characteristics such as age, land ownership, completion of a training course and quality of basic infrastructure. Finally, when considering a group of economic and social indicators of household well-being, we found that, compared to the silo non-adopters, the adopter households experienced a significant improvement in their food security and well-being between 2005 and 2009.

Action update, substituting a prepotent behavior with a new action, allows the organism to counteract surprising environmental demands. However, action update fails when the organism is uncertain about when to release the substituting behavior, when it faces temporal uncertainty. Predictive coding states that accurate perception demands minimization of precise prediction errors. Activity of the right anterior insula (rAI) is associated with temporal uncertainty. Therefore, we hypothesize that temporal uncertainty during action update would cause the AI to decrease the sensitivity to ascending prediction errors. Moreover, action update requires response inhibition which recruits the frontostriatal indirect pathway associated with motor control. Therefore, we also hypothesize that temporal estimation errors modulate frontostriatal connections. To test these hypotheses, we collected fMRI data when participants performed an action-update paradigm within the context of temporal estimation. We fit dynamic causal models to the imaging data. Competing models comprised the inferior occipital gyrus (IOG), right supramarginal gyrus (rSMG), rAI, right presupplementary motor area (rPreSMA), and the right striatum (rSTR). The winning model showed that temporal uncertainty drove activity into the rAI and decreased insular sensitivity to ascending prediction errors, as shown by weak connectivity strength of rSMG→rAI connections. Moreover, temporal estimation errors weakened rPreSMA→rSTR connections and also modulated rAI→rSTR connections, causing the disruption of action update. Results provide information about the neurophysiological implementation of the so-called horse-race model of action control. We suggest that, contrary to what might be believed, unsuccessful action update could be a homeostatic process that represents a Bayes optimal encoding of uncertainty.

This paper reviews how Nicaragua has recovered from Hurricane Mitch of October 1998. In particular, it examines how the assumptions and claims that were made during initial recovery planning have proven relevant in light of subsequent development. One must consider the response to Hurricane Mitch from the perspective of the broader trends that have driven recovery, including household, community and government initiatives and the wider economic context. Recovery efforts have not 'transformed' Nicaragua. In fact, market upheavals and livelihood changes in rural areas have had a more profound impact on poverty profiles than recovery programmes. Social protection programmes have been piloted, but patron-client ties and relations with aid providers are still more reliable sources of support in a time of crisis. Risk reduction has become more deeply integrated into the rural development discourse than was the case before the disaster, but risk reduction initiatives continue to place undue emphasis on hazard response rather than addressing vulnerability.

To successfully confront a disaster, it is necessary the coordinated and collaborative participation of multiple agencies related to public safety, which provide a response consistent with the requirements of emergency environment and all those affected. For this, is necessary the permanent information exchange between the involved agencies that allows to joint its efforts and to face the emergency of the best possible way. This article describes the interoperability platform architecture, which enables agencies involved in management of an emergency, exchange information using their own information systems and computer tools. The architecture core is inside its Shared Information Space, which manages it as a single storage entity, all information coming from the information systems integrated to the platform. It is founded on a non-relational distributed database and a P2P communications network, to share out the workload between all the platform nodes in order to award availability and scalability to the architecture.