埃塞俄比亚奥罗米亚州东哈拉尔河区Kurfa Chele地区小农采用气候智能型农业做法

S. A. Omer, Nuradin Abdi Hassen
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引用次数: 0

摘要

气候变率和变化造成了生产不稳定和生产力下降,加剧了粮食不安全,特别是在拉丁美洲、非洲(包括埃塞俄比亚)和亚洲一些地区。预计极端气候事件的规模和频率将增加。这些气候变化对小农的影响将更加明显,他们的农业活动依赖天气,容易受到气候变化的影响,并且已经受到环境退化和社会经济风险的影响。因此,小农对气候变化的有效适应至关重要,并取决于气候智能型做法的采用。然而,研究表明,在世界各地的东哈拉尔河地区和库尔法切勒地区,小规模农民对气候智能型农业实践的采用程度很低。因此,本研究考察了影响东哈拉尔河地区Kurfa Chele地区农民采用气候智能型做法的因素,评估了他们对这些做法的现有知识、态度和实践,评估了他们对气候变化的看法,考察了气候信息传播的程度,以及对这些做法采用的影响。本研究采用调查研究设计,同时采用定量和定性研究策略。通过焦点小组讨论、问卷调查、关键信息提供者访谈、观察和案头审查收集数据。采用简单随机抽样和目的抽样两种方法,分别对420名小农和农业部门技术人员进行抽样。使用定量和定性技术对数据进行分析。为了检验结果的统计显著性和变量之间的关系,使用卡方检验
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adoption of Climate Smart Agricultural Practices among Small Scale Farmers of Kurfa Chele District, East Hararghe Zone, Oromia Region, Ethiopia.
Climate variability and change has caused instability in production and decline in productivity exacerbating food insecurity particularly in Latin America, Africa including Ethiopia and some parts of Asia. The magnitude and frequency of extreme climatic events are projected to increase. The effects of these climatic changes will become even more pronounced among small scale farmers whose farming activities are weather dependent and vulnerable to climate change, and already affected by environmental degradation and socio-economic risks. Effective adaptation to climate change among small scale farmers is therefore of critical importance and is dependent on the adoption of climate-smart practices. However, studies have shown low adoption of climate-smart farming practices among small scale farmers world over, in East Hararghe Zone and Kurfa Chele District. This study, therefore, examined factors influencing adoption of climate-smart practices among farmers Kurfa Chele District, East Hararghe Zone, evaluated their existing knowledge, attitude and practice of these practices, assessed their perception of climate change, examined the extent of climate information dissemination, and the resultant impact on the uptake of these practices. The research adopted a survey research design, where both quantitative and qualitative research strategies were used. Data was gathered through Focus Group Discussions, questionnaires, key informant interviews, observations and a desk review. Both simple random and purposive sampling was used to sample 420 small scale farmers and technical officers of the agriculture sector respectively. Data were analysed using both quantitative and qualitative techniques. To test the statistical significance of the findings and relationships between the variables, the chi-square test was used
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