Agricultural mechanization in Ethiopia: hiring service transactions, mechanization clusters and land consolidation

IF 2.4 Q2 AGRICULTURAL ECONOMICS & POLICY
Yared Deribe Tefera, Bisrat Getnet Awoke
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Abstract

Purpose Agriculture in Ethiopia relies heavily on traditional farm power sources and is designated by the lowest farm machinery access, in contrast to other Sub-Sahara African (SSA) countries. The purpose of this research is to analyze the heterogeneity of mechanization service transactions and factors determining farmers' cooperation in mechanization clusters and willingness to accept land consolidation. Design/methodology/approach The authors conducted a cross-sectional survey of producer households in major crop production areas in the Oromia, SNNPR, Amhara and Tigray regions. The sampling design involved three stages: districts were selected using a stratified sampling approach accompanied by simple random samples of kebele units and producer households in the second and final stages, respectively. Findings This study’s results show that mechanization service costs, service relationships, clustering and land consolidation exhibit significant heterogeneity across the study areas. Cluster farming was found to be advantageous against diseconomies, rationalized by upgrading the mechanization scale. The probit model parameterization of the probability distributions reveals that household, land, crop, mechanization service, remoteness and location-related factors determine participation in mechanization clusters and willingness to accept land consolidation. Research limitations/implications Fostering cooperation by focusing on constraints and demand of users is suggested to reduce transaction costs and expand hired mechanization services to unaddressed areas. The findings are relevant to most SSA countries where mechanization development is hampered by land fragmentation. Originality/value Limited information is available on agricultural mechanization development for smallholder farmers, particularly in Ethiopia, and this study adds empirical evidence about the synergy between cluster farming and mechanization, horizontal coordination and alternative supply models.
埃塞俄比亚的农业机械化:雇佣服务交易、机械化集群和土地整理
与其他撒哈拉以南非洲(SSA)国家相比,埃塞俄比亚的农业严重依赖传统的农业能源,并被指定为农业机械使用率最低的国家。本研究的目的是分析机械化服务交易的异质性,以及机械化集群农户合作意愿和土地整理意愿的影响因素。设计/方法/方法作者对奥罗米亚、SNNPR、阿姆哈拉和提格雷地区主要作物产区的生产者家庭进行了横断面调查。抽样设计包括三个阶段:采用分层抽样方法选择地区,并在第二阶段和最后阶段分别对kebele单位和生产者家庭进行简单随机抽样。研究结果表明:机械化服务成本、服务关系、集群化和土地整理在各研究区域呈现显著的异质性。发现集团化农业有利于克服不经济现象,并通过提高机械化规模加以合理化。概率分布的probit模型参数化表明,家庭、土地、作物、机械化服务、偏远和位置相关因素决定了机械化集群的参与和接受土地整理的意愿。研究限制/影响建议通过注重用户的限制和需求来促进合作,以减少交易费用并将雇用的机械化服务扩大到未处理的地区。这些发现与大多数机械化发展受到土地破碎化阻碍的SSA国家有关。关于小农农业机械化发展的信息有限,特别是在埃塞俄比亚,本研究增加了关于集群农业与机械化、横向协调和替代供应模式之间协同作用的经验证据。
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来源期刊
CiteScore
4.60
自引率
37.50%
发文量
58
期刊介绍: The Journal of Agribusiness in Developing and Emerging Economies publishes double-blind peer-reviewed research on issues relevant to agriculture and food value chain in emerging economies in Asia, Africa, Latin America and Eastern Europe. The journal welcomes original research, particularly empirical/applied, quantitative and qualitative work on topics pertaining to policies, processes, and practices in the agribusiness arena in emerging economies to inform researchers, practitioners and policy makers
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