农业市场不完善对农村多维贫困的影响:来自埃塞俄比亚西达马地区的证据

IF 1.7 4区 农林科学 Q2 AGRICULTURE, MULTIDISCIPLINARY
Bealu Tukela Bekata, Ch. Appa Rao, G. Nagaraja
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引用次数: 0

摘要

本研究调查了2022年埃塞俄比亚西达马地区农业市场不完善与多维农村贫困之间的关系。这项研究使用了定性和定量方法。采用多阶段抽样方法,选取400个样本量。采用描述性统计方法发现农业市场不完善模式,采用Tobit模型捕捉农业市场不完善对农村多维贫困的影响。并采用多维贫困指数(MPI)技术对农村多维贫困程度进行测度。除了他们传统上自己做的事情外,大约23%的人缺乏如何利用现代化信息生产和销售的知识。采用Tobit模型分析了市场不完善对研究地区多维贫困的影响。这项研究表明,43%的农民把他们的货物扛在肩上运到市场。信息不对称农户的多维贫困指数(MPI)比信息对称农户高0.4354。此外,Tobit模型的研究结果表明,劳动力、改良种子、农场规模、合作社成员和商业化经验对农村多维贫困有显著的负面影响。信息不对称、交易成本和基础设施不可及性对多维贫困有显著的正向影响。因此,改善投入物的使用和创造获取农业市场信息的渠道是减少农村多维贫困的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of agricultural market imperfections on rural multidimensional poverty: Evidence from the Sidama region of Ethiopia
This study investigated the relationship between agricultural market imperfections and multidimensional rural poverty in Ethiopia’s Sidama Region in 2022. And this study used qualitative and quantitative methodologies. A multi-stage sampling method was used to select 400 sample sizes. Descriptive statistics method was used to find out modes of agricultural market imperfections, and Tobit model was employed to capture the effects of agricultural market imperfections on multidimensional rural poverty. And the multidimensional poverty index (MPI) technique was employed to measure the severity of multidimensional rural poverty. Apart from what they have traditionally done by themselves, about 23% of people lack knowledge about how to produce and where to sell using modernized information. The Tobit model was also employed to figure out how market imperfections affected multidimensional poverty in the study area. This study showed that 43% of farmers transport their goods by carrying them on their shoulders to the market. For farmers with asymmetric information, the multidimensional poverty index (MPI) is expected to have a value of 0.4354 higher than those with symmetric information. Furthermore, the Tobit model’s findings showed that labor, improved seed, farm size, cooperative membership, and commercialization experience significantly negatively impacted multidimensional rural poverty. And asymmetric information, transaction cost, and infrastructure inaccessibility had a statistically significant and positive impact on multidimensional poverty. Hence, improving input usage and creating access to agricultural market information is a foundation for reducing multidimensional rural poverty.
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来源期刊
Cogent Food & Agriculture
Cogent Food & Agriculture AGRICULTURE, MULTIDISCIPLINARY-
CiteScore
3.30
自引率
5.00%
发文量
79
审稿时长
11 weeks
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