培养可持续性:赞比亚农村农场对土壤肥力管理技术的采用和强度

Louis Chikopela , Thomson H. Kalinda , John N. Ng'ombe , Elias Kuntashula
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摘要

尽管土壤肥力管理(SFM)方法有很多优点,而且为促进采用这些方法也投入了大量资金,但在撒哈拉以南非洲地区,这些技术的采用率仍然很低。我们研究了赞比亚农村农民采用改良休耕、动物粪便、堆肥、作物秸秆保留、最小耕作、无机肥料和间作等主要土壤肥力管理方法的情况和强度。研究使用了来自 1234 个农村农场的数据以及多元概率(MVP)和广义泊松回归模型。MVP 模型突出了各种做法之间的相互联系,强调了综合干预的必要性。性别、年龄、教育程度和家庭劳动力可用性等社会人口特征对采用可持续森林管理方法有显著影响。包括经验、土地所有权、牲畜和非农业收入在内的农场特征也起着关键作用。通过电话、广播和农民团体获取信息是一个重要的促进因素,而推广服务、信贷以及靠近市场和道路的程度则影响着采用决策。结果表明,教育、家庭劳动力、非农收入和团体成员资格是采用强度的驱动因素。推广联系人、培训和农业生态区位置也会影响采用强度,但各地区之间存在差异。由此产生了重要的政策影响。首先,各种做法之间的互补性突出表明,需要制定认识到这些协同作用的整体战略。其次,加强对年轻农民的教育可以通过增加知识促进可持续森林管理技术的采用。第三,鼓励农民团体促进知识交流、投入获取和合作采用。第四,战略性推广服务和培训计划对于弥补知识差距以促进持续采用至关重要。总之,本研究为在农村农场推广可持续森林管理实践的政策提供了指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cultivating sustainability: Adoption and intensity of soil fertility management technologies among rural farms in Zambia

Despite the numerous advantages of soil fertility management (SFM) practices and substantial investments to promote adoption, uptake of these technologies remains low across sub-Saharan Africa. We study the adoption and intensity of key SFM practices - improved fallow, animal manure, compost, crop residue retention, minimum tillage, inorganic fertilizer, and intercropping among rural farmers in Zambia. Data from 1234 rural farms and the multivariate probit (MVP) and generalized Poisson regression models are used. The MVP model highlights interconnections among practices, emphasizing the need for integrated interventions. Socio-demographics like gender, age, education, and household labor availability significantly influence adoption of SFM practices. Farm characteristics including experience, land ownership, livestock, and off-farm income also play pivotal roles. Accessibility of information via phones, radio, and farmer groups emerged as a crucial enabler, while extension services, credit, and proximity to markets and roads shape adoption decisions. Results indicate education, household labor, off-farm income, and group membership drive intensity of adoption. Extension contacts, training, and agro-ecological region location also affect intensity with regional variations. Key policy implications emerge. First, the complementarities among practices underscore the need for holistic strategies recognizing these synergies. Second, enhancing education specifically for younger farmers can promote adoption of SFM technologies by increasing knowledge. Third, spurring farmer groups facilitates knowledge exchange, input access, and collaborative adoption. Fourth, strategic extension services and training programs are vital to address knowledge gaps for sustained adoption. Overall, this study provides insights to guide policies for promoting SFM practices among rural farms.

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