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埃塞俄比亚东北部农民为金属筒仓谷物储存技术支付费用的意愿。

Farmers' willingness to pay for metal silo cereal storage technology in northeast Ethiopia.

作者信息

Teshome Degu Gobezie, Mussa Essa Chanie, Dessie Abebe Birara, Abate Tadie Mirie, Ayalew Degarege Yitayih

机构信息

Department of Agribusiness and Value Chain Management, College of Dry Land Agriculture, Samara University, P.O. BOX 132, Samara, Ethiopia.

Department of Agricultural Economics, College of Agriculture and Environmental Science, University of Gondar, P.O. BOX 196, Gondar, Ethiopia.

出版信息

Heliyon. 2023 Jul 19;9(8):e18223. doi: 10.1016/j.heliyon.2023.e18223. eCollection 2023 Aug.

DOI:10.1016/j.heliyon.2023.e18223
PMID:37534014
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10391935/
Abstract

In Ethiopia, cereal crops play a significant role in food security and income for most smallholder farmers. In the Gubalafto district, the environment is ideal for growing vital cereal crops such as sorghum, maize, and teff. However, various factors such as weevils, rodents, mold infestation, and lack of suitable storage materials were blamed for a post-harvest loss of cereal at the storage stage in the district. Hence, this research study was intended to identify factors affecting households' willingness to pay for metal silo cereal storage technology and the maximum willingness to pay for the technology. The study used both primary and secondary sources to gather the data. A total of 385 sample households were selected using a systematic random sampling technique. The semi-structural questionnaire was used to collect the primary data during a face-to-face interview, and double-bounded questions were also followed by open-ended questions. Combinations of data analysis methods such as descriptive, inferential statistics, and econometrics models were used. a binary probit regression model was used to identify factors that influenced farmers' willingness to pay for metal silo cereal storage technology. A bivariate probit regression model was also used to estimate the household's willingness to pay for metal silo cereal storage technology. The survey results showed that the majority (71.69%) of the sample households were willing to pay for metal silo cereal storage technology due to the severity of cereal post-harvest loss. Moreover, the binary probit model results revealed that household educational status, total household annual income, market accessibility, and extension service positively and significantly affected the household's willingness to pay decisions. The mean willingness to pay of households in open-ended and double-bounded methods was 4157 Ethiopian birr and 5147 Ethiopian Birr (ETB), respectively. In general, the result of the study revealed that farmers were more willing to adopt metal silo cereal storage technology due to its high-storage quality. Therefore, as a part of the recommendations, there should be great integration among farmers, metal manufacturing factories, local and regional governments to supply and offer metal silos technology for farmers at a reasonable price and time. Moreover, training should be arranged on how to use the metal silo technology to prevent post-harvesting loss during the storage time.

摘要

在埃塞俄比亚,谷类作物对大多数小农户的粮食安全和收入起着重要作用。在古巴拉夫托区,环境非常适合种植高粱、玉米和画眉草等重要谷类作物。然而,象鼻虫、啮齿动物、霉菌侵害以及缺乏合适的储存材料等各种因素被认为是该地区谷类作物在储存阶段产后损失的原因。因此,本研究旨在确定影响家庭为金属筒仓谷类储存技术支付意愿的因素以及该技术的最大支付意愿。该研究使用了一手和二手资料来收集数据。采用系统随机抽样技术共选取了385个样本家庭。在面对面访谈中使用半结构化问卷收集一手数据,双边界问题之后还采用了开放式问题。使用了描述性、推断性统计和计量经济学模型等数据分析方法的组合。使用二元概率回归模型来确定影响农民为金属筒仓谷类储存技术支付意愿的因素。还使用双变量概率回归模型来估计家庭为金属筒仓谷类储存技术的支付意愿。调查结果显示,由于谷类作物产后损失严重,大多数(71.69%)样本家庭愿意为金属筒仓谷类储存技术付费。此外,二元概率模型结果显示,家庭受教育程度、家庭年总收入、市场可达性和推广服务对家庭支付意愿决策有积极且显著的影响。开放式和双边界方法中家庭的平均支付意愿分别为4157埃塞俄比亚比尔和5147埃塞俄比亚比尔(ETB)。总体而言,研究结果表明,由于其高储存质量,农民更愿意采用金属筒仓谷类储存技术。因此,作为建议的一部分,农民、金属制造厂、地方和地区政府之间应进行大力整合,以便在合理的价格和时间为农民供应和提供金属筒仓技术。此外,应安排关于如何使用金属筒仓技术以防止储存期间产后损失的培训。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dc3/10391935/34ef49a25ad7/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dc3/10391935/61e525a14a77/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dc3/10391935/e7f301dd589f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dc3/10391935/34ef49a25ad7/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dc3/10391935/61e525a14a77/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dc3/10391935/e7f301dd589f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dc3/10391935/34ef49a25ad7/gr3.jpg

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