探讨半干旱地区小农对保护性农业的采用及其影响:来自坦桑尼亚Chamwino地区的证据

Noel Yared Selya, Provident Dimoso, Yohana James Mgale
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引用次数: 0

摘要

小农采用保护性农业(CA)技术预计将影响农业生产力,并最终改善粮食安全和农业收入。然而,关于在坦桑尼亚半干旱地区的小农中采用CA技术及其效果的经验证据仍然有限。本研究旨在评估半干旱地区小农对CA的采用情况。该研究在Chamwino地区推广CA项目的四个村庄采用了横断面调查设计。本研究随机抽取260户家庭进行访谈,其中134户采用CA, 126户不采用CA。数据收集和分析分别采用KoBo和SPSS统计软件。描述性统计用于检查应用的扩展方法并分析CA采用的程度。逻辑回归模型探讨了影响农民采用CA决策的决定因素。此外,使用两个独立样本t检验来计算CA采用对作物产量和农场收入的影响。结果表明,健壮的扩展服务可以提高CA农场CA实践的质量。性别、获得推广服务的机会、获得农业投入物的机会、参加农民团体以及获得农业信贷的机会对采用农业信用制度有重大影响。采用农业信用制度的人比未采用农业信用制度的人实现了更高的平均作物产量和单位面积农业收入。该研究建议政府和其他发展行为体在农业推广服务和机械化方面投入更多资源,以支持和扩大农作技术的推广。还需要建立和加强监测和评估系统,以确保CF项目在坦桑尼亚半干旱地区的一致性、影响力和可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Adoption and Impact of Conservation Agriculture among Smallholder Farmers in Semi-Arid Areas: Evidence from Chamwino District, Tanzania
The adoption of Conservation Agriculture (CA) technologies by smallholder farmers is expected to affect agricultural productivity and ultimately improve food security and farm incomes. However, there is still limited empirical evidence on the adoption and effects of CA technologies among smallholder farmers in the semi-arid areas of Tanzania. This study was designed to assess the adoption of CA by smallholder farmers in semi-arid areas. The study used a cross-sectional survey design in four villages in Chamwino districts where CA projects are promoted. A random sample of 260 households was interviewed in this study, including 134 CA adopters and 126 non-CA adopters. Data were collected and analyzed using KoBo and SPSS statistics respectively. Descriptive statistics were used to examine extension approaches applied and analyze the extent of CA adoptions. A logistic regression model explored the determinants influencing farmers’ decisions to adopt CA. In addition, two independent samples t-tests were used to calculate the effect of CA adoption on crop yields and farm incomes. The results show that robust extension services led to a better quality of CA practices on CA farms. Gender, access to extension services, access to agricultural inputs, participation in farmer groups, and access to credit for agriculture significantly influence the adoption of CA. CA adopters achieved better average crop yields and higher farm income per unit area than those who did not adopt CA. Thus, the study recommends that the government and other development actors devote more resources to agricultural extension services and mechanization to support and increase the scaling up of CA technologies. There is also a need to establish and strengthen monitoring and evaluation systems to ensure coherence, impact and sustainability of CF programs in semi-arid areas of Tanzania.
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