Determinants of climate-smart agricultural practices in smallholder plots: evidence from Wadla district, northeast Ethiopia

IF 3.5 3区社会学 Q2 ENVIRONMENTAL STUDIES

International Journal of Climate Change Strategies and Management Pub Date : 2023-04-14 DOI:10.1108/ijccsm-06-2022-0071

Alebachew Destaw Belay, W. M. Kebede, Sisay Yehuala Golla

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引用次数: 3

Abstract

Purpose This study aims to examine determinants of farmers’ use of climate-smart agricultural practices, specifically improved crop varieties, intercropping, improved livestock breeds and rainwater harvesting in Wadla district, northeast Ethiopia. Design/methodology/approach A cross-sectional household survey was used. A structured interview schedule for respondent households and checklists for key informants and focus group discussants were used. This study used both descriptive statistics and a multivariate probit econometric model to analyze the collected data. The model was used to compute factors influencing the use of climate-smart agricultural practices in the study area. Findings The results revealed that households adopted selected practices. The likelihood of farmers’ decisions to use improved crop varieties, intercropping, improved livestock breeds and rainwater harvesting was 85%, 52%, 69% and 59%, respectively. The joint probability of using these climate-smart agricultural practices was 23.7%. The model results confirmed that sex, level of education, livestock holding, access to credit, farm distance, market distance and training were significant factors that affected the use of climate-smart agricultural practices in the study area. Originality/value The present study used the most selected locally practiced interventions for climate-smart agriculture.

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小农户气候智能型农业实践的决定因素:来自埃塞俄比亚东北部Wadla地区的证据

本研究旨在研究埃塞俄比亚东北部Wadla地区农民使用气候智能型农业实践的决定因素，特别是改良作物品种、间作、改良牲畜品种和雨水收集。设计/方法/方法采用横断面入户调查。使用了针对被调查者家庭的结构化访谈时间表和针对关键举报人和焦点小组讨论者的核对表。本研究采用描述性统计和多元概率计量模型对收集的数据进行分析。该模型用于计算影响研究区域气候智能型农业实践使用的因素。调查结果显示，家庭采取了选择的做法。农民决定采用改良作物品种、间作、改良牲畜品种和雨水收集的可能性分别为85%、52%、69%和59%。采用这些气候智能型农业实践的联合概率为23.7%。模型结果证实，性别、教育水平、牲畜饲养、信贷获取、农场距离、市场距离和培训是影响研究地区气候智能型农业实践使用的重要因素。原创性/价值本研究采用了当地实践最多的气候智慧型农业干预措施。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Climate Change Strategies and Management ENVIRONMENTAL STUDIES-

CiteScore

8.10

自引率

8.30%

发文量

审稿时长

15 weeks

期刊介绍： Effective from volume 10 (2018), International Journal of Climate Change Strategies and Management is an open access journal. In the history of science there have been only a few issues which have mobilized the attention of scientists and policy-makers alike as the issue of climate change currently does. International Journal of Climate Change Strategies and Management is an international forum that addresses the need for disseminating scholarly research, projects and other initiatives aimed to facilitate a better understanding of the subject matter of climate change. The journal publishes papers dealing with policy-making on climate change, and methodological approaches to cope with the problems deriving from climate change. It disseminates experiences from projects and case studies where due consideration to environmental, economic, social and political aspects is given and especially the links and leverages that can be attained by this holistic approach. It regards climate change under the perspective of its wider implications: for economic growth, water and food security, and for people''s survival – especially those living in the poorest communities in developing countries.