Perceived environmental risks and insecurity reduce future migration intentions in hazardous migration source areas

This is the author accepted manuscript. The final version is available from Cell Press via the DOI in this record. Environmental change influences population movements at various temporal and spatial scales. Yet individual decisions to migrate involve multiple motivations including perceived environmental risks and economic opportunities. We analyze how perceptions of environmental risks affect migration decisions and future migration intentions. We use cross-sectional household survey data (N = 5,450) from populations engaged in migration in net out-migration areas in four coastal areas in Ghana, Bangladesh, and India to examine ex post-migration motivations and ex ante-future migration intentions. The data include variables on previous migration, migration intentions, well-being, food insecurity, and perceived long-term environmental degradation. The results show that few households identified environmental risks as the primary driver for past migration decisions. Perceived increased severity of drought and household insecurity both reduce stated future migration intentions. Hence, perceptions of environmental risks, including future potential changes, are significant in altering aggregate migration flows from source areas in low-lying coastal regions.Collaborative Adaptation Research Initiative in Africa and Asia (CARIAA)UK Foreign, Commonwealth and Development OfficeInternational Development Research Centre, Ottawa, CanadaBelmont ForumUK Research and Innovatio

Testing Claims about Large Land Deals in Africa: Findings from a Multi-Country Study

Despite much research on large land deals for plantation agriculture in Africa, reliable data remain elusive, partly because of limited access to information and practical and methodological challenges. International debates are still shaped by misperceptions about how much land is being acquired, where, by whom, how and with what consequences. This article aims empirically to test some common perceptions through an analysis of findings from research conducted in three African countries: Ethiopia, Ghana, and Tanzania. The article presents new evidence on the scale, geography, drivers and features of land deals, relates findings to data from earlier research and international efforts to monitor land deals, and outlines possible ways forward for ongoing monitoring of the deals

Perceived stressors of climate vulnerability across scales in the Savannah zone of Ghana: a participatory approach

Smallholder farmers in sub-Saharan Africa are confronted with climatic and non-climatic stressors. Research attention has focused on climatic stressors, such as rainfall variability, with few empirical studies exploring non-climatic stressors and how these interact with climatic stressors at multiple scales to affect food security and livelihoods. This focus on climatic factors restricts understanding of the combinations of stressors that exacerbate the vulnerability of farming households and hampers the development of holistic climate change adaptation policies. This study addresses this particular research gap by adopting a multi-scale approach to understand how climatic and non-climatic stressors vary, and interact, across three spatial scales (household, community and district levels) to influence livelihood vulnerability of smallholder farming households in the Savannah zone of northern Ghana. This study across three case study villages utilises a series of participatory tools including semi-structured interviews, key informant interviews and focus group discussions. The incidence, importance, severity and overall risk indices for stressors are calculated at the household, community, and district levels. Results show that climatic and non-climatic stressors were perceived differently; yet, there were a number of common stressors including lack of money, high cost of farm inputs, erratic rainfall, cattle destruction of crops, limited access to markets and lack of agricultural equipment that crossed all scales. Results indicate that the gender of respondents influenced the perception and severity assessment of stressors on rural livelihoods at the community level. Findings suggest a mismatch between local and district level priorities that have implications for policy and development of agricultural and related livelihoods in rural communities. Ghana’s climate change adaptation policies need to take a more holistic approach that integrates both climatic and non-climatic factors to ensure policy coherence between national climate adaptation plans and District development plans

Addressing vulnerability, building resilience:community-based adaptation to vector-borne diseases in the context of global change

Abstract Background The threat of a rapidly changing planet – of coupled social, environmental and climatic change – pose new conceptual and practical challenges in responding to vector-borne diseases. These include non-linear and uncertain spatial-temporal change dynamics associated with climate, animals, land, water, food, settlement, conflict, ecology and human socio-cultural, economic and political-institutional systems. To date, research efforts have been dominated by disease modeling, which has provided limited practical advice to policymakers and practitioners in developing policies and programmes on the ground. Main body In this paper, we provide an alternative biosocial perspective grounded in social science insights, drawing upon concepts of vulnerability, resilience, participation and community-based adaptation. Our analysis was informed by a realist review (provided in the Additional file 2) focused on seven major climate-sensitive vector-borne diseases: malaria, schistosomiasis, dengue, leishmaniasis, sleeping sickness, chagas disease, and rift valley fever. Here, we situate our analysis of existing community-based interventions within the context of global change processes and the wider social science literature. We identify and discuss best practices and conceptual principles that should guide future community-based efforts to mitigate human vulnerability to vector-borne diseases. We argue that more focused attention and investments are needed in meaningful public participation, appropriate technologies, the strengthening of health systems, sustainable development, wider institutional changes and attention to the social determinants of health, including the drivers of co-infection. Conclusion In order to respond effectively to uncertain future scenarios for vector-borne disease in a changing world, more attention needs to be given to building resilient and equitable systems in the present

Food consumption and diet quality choices of Roma in Romania: a counterfactual analysis

This paper analyses the diet quality aspect of food security of Roma in Romania. We employed a modified Blinder-Oaxaca decomposition technique using Household Budget Survey data for the period 2004–2011. The estimates suggest that Roma have inferior diet diversity compared to the non-Roma. Around one-third of the diet diversity gap is explained by the differences in observed socio-economic factors, whereas the remaining part of the gap is attributed to unobserved factors. We argue that the unexplained component of the diet diversity gap is caused by the discrimination of the Roma on the labour market and by their specific informal institutions

Experimental modeling of the effect of hurricane wind forces on driving behavior and vehicle performance

While traffic planning is important for developing a hurricane evacuation plan, vehicle performance on the roads during extreme weather conditions is critical to the success of the planning process. This novel study investigates the effect of gusty hurricane wind forces on the driving behavior and vehicle performance. The study explores how the parameters of a driving simulator could be modified to reproduce wind loadings experienced by three vehicle types (passenger car, ambulance, and bus) during gusty hurricane winds, through manipulation of appropriate software. Thirty participants were then tested on the modified driving simulator under five wind conditions (ranging from normal to hurricane category 4). The driving performance measures used were heading error and lateral displacement. The results showed that higher wind forces resulted in more varied and greater heading error and lateral displacement. The ambulance had the greatest heading errors and lateral displacements, which were attributed to its large lateral surface area and light weight. Two mathematical models were developed to estimate the heading error and lateral displacements for each of the vehicle types for a given change in lateral wind force. Through a questionnaire, participants felt the different characteristics while driving each vehicle type. The findings of this study demonstrate the valuable use of a driving simulator to model the behavior of different vehicle types and to develop mathematical models to estimate and quantify driving behavior and vehicle performance under hurricane wind conditions