Impact of adopting the climate-smart crop varieties on food security in southwestern Ethiopia

Dubale Abate, Henok Tesfaye, Metadel Kassaw, Yonnas Addis, Habtamu Mossie
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Abstract

Climate-smart crop varieties (CSV) are vital in improving food security by enhancing productivity while reducing problems of climate change. However, there is a low adoption of these varieties by the farmers in the study area due to lack of awareness of their impact on food security. Therefore, this study was designed to analyze their impact on food security in southwestern Ethiopia. The data were collected from 385 randomly selected sample households using a semi-structured questionnaire. Both descriptive and econometric analyses were used to analyze the data. The propensity score matching (PSM) model was used to evaluate the impact of climate-smart crop varieties on food security. Descriptive analysis showed that about 59.74% of the respondents were adopters of climate-smart crop varieties. The PSM analysis result revealed that the adoption of climate-smart crop varieties had a significant positive impact on food security. This implies that the likelihood of being food secure would increase by a factor of 0.8 if the climate-smart crop varieties were adopted. Therefore, developing and disseminating the climate-smart crop varieties at the right time through educational improvement (strengthening collaboration) and allocating land for their development is suggested for policymakers to improve food security.
采用气候智能型作物品种对埃塞俄比亚西南部粮食安全的影响
气候智能型作物品种(CSV)对于通过提高生产力和减少气候变化问题来改善粮食安全至关重要。然而,由于缺乏对这些品种对粮食安全影响的认识,研究地区的农民对这些品种的采用率很低。因此,本研究旨在分析它们对埃塞俄比亚西南部粮食安全的影响。采用半结构化问卷,随机抽取385户家庭进行调查。采用描述性和计量经济学两种分析方法对数据进行分析。采用倾向得分匹配(PSM)模型评价了气候智能型作物品种对粮食安全的影响。描述性分析显示,约59.74%的受访者采用气候智能型作物品种。PSM分析结果表明,采用气候智能型作物品种对粮食安全具有显著的积极影响。这意味着,如果采用气候智能型作物品种,粮食安全的可能性将增加0.8倍。因此,建议决策者通过改善教育(加强合作)和分配土地用于发展气候智能型作物品种,适时开发和推广气候智能型作物品种,以改善粮食安全。
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