Determinants of smallholder farmers' adoption of agroforestry practices: Sodo Zuriya District, southern Ethiopia

IF 2 3区 农林科学 Q2 AGRONOMY Agroforestry Systems Pub Date : 2023-09-03 DOI:10.1007/s10457-023-00885-5
Mathewos Tega, Elias Bojago
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Abstract

Agroforestry is recommended as a more sustainable practice in areas with increased population pressure and land scarcity. Several factors limit farmers’ ability to make decisions regarding agroforestry practices. Considering this, the current study was conducted in the Sodo Zuria district of the Wolaita Zone to determine the determinants of farmers' adoption of agroforestry practices. A stratified random sampling procedure was used to select an optimal sample size of 173 respondents from the three study sites. A structured interview schedule was used to collect quantitative data from the respondents. The checklist was used to collect qualitative data from non-sampled respondents in the community through focus group discussions, personal observations, and key informant interviews. The study's conceptual framework was based on the theory of planned behavior. The collected data were analyzed using inferential and descriptive statistics, such as the chi-square test and the t-test. According to the logistic regression analysis, the adoption of agroforestry practices was positively influenced by land size, farmland erosion, education, awareness, and extension services, which should be considered in all initiatives to promote agroforestry as a strategy to achieve integrated rural development in the study areas.

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小农户采用农林业做法的决定因素:埃塞俄比亚南部Sodo Zuriya地区
在人口压力增大和土地稀缺的地区,农林业被推荐为一种更具可持续性的做法。一些因素限制了农民就农林业实践做出决定的能力。有鉴于此,本研究在 Wolaita 区的 Sodo Zuria 地区进行,以确定农民采用农林业做法的决定因素。研究采用了分层随机抽样程序,从三个研究地点选出了 173 个最佳样本量。采用结构化访谈表收集受访者的定量数据。通过焦点小组讨论、个人观察和关键信息提供者访谈,使用核对表从社区中未抽样的受访者那里收集定性数据。研究的概念框架以计划行为理论为基础。收集到的数据采用推论和描述性统计方法进行分析,如卡方检验和 t 检验。根据逻辑回归分析,采用农林业做法受到土地面积、农田侵蚀、教育、意识和推广服务的积极影响。
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来源期刊
Agroforestry Systems
Agroforestry Systems 农林科学-林学
CiteScore
5.30
自引率
9.10%
发文量
78
审稿时长
4.5 months
期刊介绍: Agroforestry Systems is an international scientific journal that publishes results of novel, high impact original research, critical reviews and short communications on any aspect of agroforestry. The journal particularly encourages contributions that demonstrate the role of agroforestry in providing commodity as well non-commodity benefits such as ecosystem services. Papers dealing with both biophysical and socioeconomic aspects are welcome. These include results of investigations of a fundamental or applied nature dealing with integrated systems involving trees and crops and/or livestock. Manuscripts that are purely descriptive in nature or confirmatory in nature of well-established findings, and with limited international scope are discouraged. To be acceptable for publication, the information presented must be relevant to a context wider than the specific location where the study was undertaken, and provide new insight or make a significant contribution to the agroforestry knowledge base
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