Does Adoption of Multiple Climate-Smart Agriculture Practices Improve Rural Farm Households' Food Security in Ethiopia?

IF 4 2区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY Food and Energy Security Pub Date : 2024-11-18 DOI:10.1002/fes3.70021
Tibebu Legesse, Zerhun Ganewo, Abera Alemu, Aneteneh Ashebir, Andachew Samuel, Yaynabeba Abayneh
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Abstract

Climate-smart agriculture (CSA) is a set of economically and environmentally friendly practices that can address the issues of food security under the new realities of climate change. However, the adoption of these practices among smallholder farmers is still low, especially in developing countries like Ethiopia. Thus, the main objective of this study was to assess the factors determining rural farm households' adoption of CSA practices and their impact on food security in the Sidama region, Ethiopia. Primary data for this study were obtained from a randomly selected sample of 523 households using a pre-tested, structured questionnaire. The collected data were analyzed using descriptive statistics, multivariate probit, and an endogenous switching regression model. The study found that, in the study area, conservation of agriculture is the most popular CSA practice, which is adopted by 96.2% of the adopters, followed by soil fertility management (82.2%), crop diversification (62.3%), small-scale irrigation (47.9%), and crop–livestock integration (40.7%). The multivariate probit model revealed that the sex of the household head, age of the household head, educational level of the household head, extension contact, information on climate change, and distance to the market were identified as determinants for the adoption of CSA practices. Furthermore, the endogenous switching regression model analysis revealed that adoption of CSA practices increased rural farm household food security status. Therefore, this paper suggests that smallholder farmers should incorporate CSA practices to improve their food security.

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采用多种气候智能型农业实践是否能改善埃塞俄比亚农村农户的粮食安全?
气候智能型农业(CSA)是一套经济和环境友好型做法,可以解决气候变化新现实下的粮食安全问题。然而,小农采用这些做法的比例仍然很低,尤其是在埃塞俄比亚这样的发展中国家。因此,本研究的主要目的是评估决定埃塞俄比亚西达马地区农村农户采用 CSA 实践的因素及其对粮食安全的影响。本研究的原始数据来自随机抽样的 523 个家庭,采用的是事先测试过的结构化问卷。收集到的数据采用描述性统计、多变量 probit 和内生转换回归模型进行分析。研究发现,在研究地区,保护性农业是最受欢迎的 CSA 做法,96.2% 的采用者采用了这种做法,其次是土壤肥力管理(82.2%)、作物多样化(62.3%)、小型灌溉(47.9%)和作物-牲畜一体化(40.7%)。多元概率模型显示,户主性别、户主年龄、户主受教育程度、推广联系人、气候变化信息和距离市场的远近被认为是采用 CSA 实践的决定因素。此外,内生转换回归模型分析表明,采用 CSA 实践提高了农村农户的粮食安全状况。因此,本文建议小农户采用 CSA 实践来改善其粮食安全状况。
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来源期刊
Food and Energy Security
Food and Energy Security Energy-Renewable Energy, Sustainability and the Environment
CiteScore
9.30
自引率
4.00%
发文量
76
审稿时长
19 weeks
期刊介绍: Food and Energy Security seeks to publish high quality and high impact original research on agricultural crop and forest productivity to improve food and energy security. It actively seeks submissions from emerging countries with expanding agricultural research communities. Papers from China, other parts of Asia, India and South America are particularly welcome. The Editorial Board, headed by Editor-in-Chief Professor Martin Parry, is determined to make FES the leading publication in its sector and will be aiming for a top-ranking impact factor. Primary research articles should report hypothesis driven investigations that provide new insights into mechanisms and processes that determine productivity and properties for exploitation. Review articles are welcome but they must be critical in approach and provide particularly novel and far reaching insights. Food and Energy Security offers authors a forum for the discussion of the most important advances in this field and promotes an integrative approach of scientific disciplines. Papers must contribute substantially to the advancement of knowledge. Examples of areas covered in Food and Energy Security include: • Agronomy • Biotechnological Approaches • Breeding & Genetics • Climate Change • Quality and Composition • Food Crops and Bioenergy Feedstocks • Developmental, Physiology and Biochemistry • Functional Genomics • Molecular Biology • Pest and Disease Management • Post Harvest Biology • Soil Science • Systems Biology
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