57 research outputs found

    Evidence and perceptions of rainfall change in Malawi: Do maize cultivar choices enhance climate change adaptation in sub-Saharan Africa?

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    Getting farmers to adopt new cultivars with greater tolerance for coping with climatic extremes and variability is considered as one way of adapting agricultural production to climate change. However, for successful adaptation to occur, an accurate recognition and understanding of the climate signal by key stakeholders (farmers, seed suppliers and agricultural extension services) is an essential precursor. This paper presents evidence based on fieldwork with smallholder maize producers and national seed network stakeholders in Malawi from 2010 to 2011, assessing understandings of rainfall changes and decision-making about maize cultivar choices. Our findings show that preferences for short-season maize cultivars are increasing based on perceptions that season lengths are growing shorter due to climate change and the assumption that growing shorter-season crops represents a good strategy for adapting to drought. However, meteorological records for the two study areas present no evidence for shortening seasons (or any significant change to rainfall characteristics), suggesting that short-season cultivars may not be the most suitable adaptation option for these areas. This demonstrates the dangers of oversimplified climate information in guiding changes in farmer decision-making about cultivar choice

    Reducing climate risk for micro-insurance providers in Africa: A case study of Ethiopia

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    Recurrent climate hazards challenge subsistence farmers in developing countries. Reliance on various diversification strategies and traditional risk sharing among kin and families has serious limitations, such as the problem of covariate risk within such networks. Index-based crop insurance could help to reduce people's climate-related risk, but raising the necessary capital to make insurance schemes financially secure is difficult for micro-insurance providers. We examine the extent to which spatial pooling of micro-insurance schemes could reduce these capital requirements. We simulate a hypothetical insurance market operating in Ethiopia, using rainfall data and yield estimates for 15 stations. By performing a Monte Carlo analysis, risk capital required to keep the probability of financial ruin below a threshold value is identified. We investigate the marginal benefits of pooling increasing numbers of sites, as well as the relationship between the benefits of pooling and the spatial covariance of rainfall. We find spatial diversification to offer considerable savings in required capitalization with as few as three sites pooled, as well as a weak but significant relationship between rainfall covariance and those benefits. The results suggest that spatial pooling may be an attractive option for micro-insurers, worthy of a detailed case-by-case analysis when designing index-insurance schemes

    Perceptions of Environmental Change and Migration Decisions

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    While climate change is projected to increase displacement of people, knowledge on this issue remains limited and fragmented. In his paper we focus on the micro-level and study the effects of individual perceptions of different types of environmental events (i.e., sudden/short-term vs. slow-onset/long-term) on migration decisions. Our results based on newly collected micro-level survey data from Vietnam shows that while slow-onset environmental events, such as droughs, significantly decrease the likelihood of migration, short-term events, such as floods, are positively related to migration, although not in a statistically significant way. When contrasting individual level perceptions with actual climatic events we observe that migrants and non-migrants perceive both long-term as well as sudden-onset environmental events in different ways. While non-migrants are slightly better in judging the actual extremeness of events such as floods and hurricanes, it is the migrants who are slightly better in judging the actual extremeness in the case of droughts
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