DOI | 10.1016/j.crm.2021.100330
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| Who is most vulnerable to climate change induced yield changes? A dynamic long run household analysis in lower income countries |
| Wilts R.; Latka C.; Britz W.
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发表日期 | 2021
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ISSN | 2212-0963
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起始页码 | 30
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结束页码 | 41
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卷号 | 33 |
英文摘要 | Climate change impacts on agricultural production will shape the challenges of reaching food security and reducing poverty across households in the future. Existing literature lacks analysis of these impacts on different household groups under consideration of changing socio-economic developments. Here, we analyze how crop yield shifts induced by climate change will affect different household types in three low- and lower-middle-income countries, namely Vietnam, Ethiopia and Bolivia. The long-run analysis is based on a recursive-dynamic Computable General Equilibrium model. We first construct a baseline scenario projecting global socio-economic developments up to 2050. From there, we implement business-as-usual climate change shocks on crop yields. In the baseline, all households benefit from welfare increases over time. Adding climate change induced yield changes reveals impacts different in size and direction depending on the level of the households’ income and on the share of income generated in agriculture. We find that the composition of the factor income and the land ownership are of large importance for the vulnerability of households to climate change, since the loss for non-agricultural households is highest in absolute terms. The complementary comparative static analysis shows smaller absolute and relative effects for most households as the differentiated factor income growth over time is not considered, which makes household types more or less vulnerable. A sensitivity analysis varying the severity of climate change impacts on yields confirms that more negative yield shifts exacerbate the situation (especially) of the most vulnerable households. Furthermore, it underlines that yield shocks on staple crops are of major importance for the welfare effect. Our findings reveal the need for differentiated interventions to mitigate consequences especially for the most vulnerable households. © 2021 The Authors |
英文关键词 | Climate Change; Computable General Equilibrium Model; Household effect; Long run analysis; Low Income Country |
来源期刊 | Climate Risk Management
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文献类型 | 期刊论文
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条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/183088
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作者单位 | Institute for Food- and Resource Economics, University of Bonn, Nussallee 21, Bonn, D-53115, Germany
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推荐引用方式 GB/T 7714 |
Wilts R.,Latka C.,Britz W.. Who is most vulnerable to climate change induced yield changes? A dynamic long run household analysis in lower income countries[J],2021,33.
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APA |
Wilts R.,Latka C.,&Britz W..(2021).Who is most vulnerable to climate change induced yield changes? A dynamic long run household analysis in lower income countries.Climate Risk Management,33.
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MLA |
Wilts R.,et al."Who is most vulnerable to climate change induced yield changes? A dynamic long run household analysis in lower income countries".Climate Risk Management 33(2021).
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