Despite significant advances in strengthening post-disaster recovery efforts, misaligned strategy and inefficient resource allocation are far too often the norm for infrastructure reconstruction. To examine the inter-organizational networks that form to coordinate resources for infrastructure reconstruction, we employed social network analysis in 19 communities in the Philippines following Super Typhoon Haiyan, at 6 and 12 months post-disaster. To build these networks, we analysed interview, field observation and documentation data collected from non-governmental organizations, local governments and communities. A survey questionnaire was also administered to organizations working in selected communities to validate networks. Results from network analysis established that information was the most commonly shared resource by organizations, followed by financial, material and human resources. Government agencies had the highest actor centralities; however, qualitative data suggest that these roles were the result of obligatory consultations by international organizations and lacked legitimacy in practice. Findings further demonstrate that networks become more decentralized over time as actors leave and roles become more established, influenced by short-term expatriate contracts and the termination of United Nations supported cluster coordination. Findings could help organizations strengthen humanitarian response efforts by attending to resource allocation and knowledge sharing with other organizations.

Global migration and mobility dynamics are expected to shift in the coming decades as a result of climate change. However, the extent to which migration is caused by climate hazards, in contrast or addition to other intervening factors, is a point of debate in literature. In this study, we conducted a systematic literature review to identify and consolidate factors which directly and indirectly influence climate change migration. In our review of the literature, we found a total of 21 economic, environmental, demographic, political, social, and personal intervening decision‐making factors which affect climate migration. Causal interactions between these factors were identified using an axial qualitative coding technique called purposive text analysis. By combining causal links, a semi‐quantitative causal loop diagram was created that represented factor interaction and feedback within the “climate migration system.” Using this model, we highlight influential feedback loops and point to how intervention strategies may cause downstream effects. This research helps to address calls for a better understanding of the complex decision‐making dynamics in climate migration. In particular, results from our causal feedback loops show that intervention strategies targeted toward economic factors such as financial capital and livelihoods, as well as food security, would have the greatest impact in assisting climate‐affected communities. These results help inform climate migration policy and aid planners in the future to better understand the interconnected system of factors that lead to the emergent outcome of climate migration.This article is categorized under: Vulnerability and Adaptation to Climate Change > Learning from Cases and Analogies The Social Status of Climate Change Knowledge > Climate Science and Decision Making

Participation has long been considered important for post‐disaster recovery. Establishing what constitutes participation in post‐disaster shelter projects, however, has remained elusive, and the links between different types of participation and shelter programme outcomes are not well understood. Furthermore, recent case studies suggest that misguided participation strategies may be to blame for failures. This study analysed 19 shelter projects implemented in the Philippines following Typhoon Haiyan in November 2013 to identify the forms of participation employed. Using fuzzy‐set qualitative comparative analysis, it assessed how household participation in the planning, design, and construction phases of shelter reconstruction led to outcomes of household satisfaction and safe shelter design. Participation was operationalised via eight central project tasks, revealing that the involvement of households in the early planning stages of projects and in construction activities were important for satisfaction and design outcomes, whereas engagement during the design phase of projects had little impact on the selected outcomes.