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01531nam a2200229Ia 4500 |
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10.1016-j.wdp.2019.100132 |
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220511s2019 CNT 000 0 und d |
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|a 24522929 (ISSN)
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| 245 |
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|a Evaluating producer preferences and information processing strategies for drought risk management tools in Bangladesh
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| 260 |
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|b Elsevier Ltd
|c 2019
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| 856 |
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|z View Fulltext in Publisher
|u https://doi.org/10.1016/j.wdp.2019.100132
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|a We use stated preference data to study farmers’ preferences for two alternative strategies to manage drought risks in Bangladesh. A choice experiment on drought tolerant rice varieties and weather index insurance was administered to 2306 farmers. Two overarching preference classes or meso-groups were identified using an equality constrained latent class model, each containing various patterns of attribute non-attendance. Our analysis finds that farmers rely on information processing strategies to simplify risk management tool decisions to mitigate drought risk. Differences in the use of farm inputs, and access to savings mechanisms, both formal and informal, are shown to affect decision making. © 2019 The Authors
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|a Attribute non-attendance
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|a Bangladesh
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|a Discrete choice experiment
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|a Drought-tolerant rice
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|a Equality constrained latent class model
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|a Insurance
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|a Caputo, V.
|e author
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|a Ortega, D.L.
|e author
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|a Ward, P.S.
|e author
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| 773 |
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|t World Development Perspectives
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