ArticleHeliyon2023
Farmers' willingness to pay for metal silo cereal storage technology in northeast Ethiopia.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed, 3 citations in OpenAlex.
- Individuals' willingness to pay for HIV vaccines in Iran: Contingent valuation method.Health science reports · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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