2020
DOI: 10.1177/0972150920953545
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Effect of Non-tariff Barriers on Maize Production and Marketing by Smallholder Farmers in Tanzania

Abstract: This study assessed the effect of non-tariff barriers (NTBs) on the production and marketing of maize for smallholder farmers in Mbozi and Momba Districts located in Songwe region in Tanzania. A cross-sectional design was employed in gathering primary data. A two-stage stratified sampling procedure was used in the selection of 400 smallholder farmers, who were surveyed using standardized questionnaires. In estimating the effect of NTBs on maize production and supply, the duality model was employed. The results… Show more

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Cited by 8 publications
(9 citation statements)
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“…These findings are justified by descriptive results whereby most famers reported to depend labos from the family. The findings are also supported by those of Maziku and Mashenene (2020) who found the similar results in Songwe region in Tanzania. Similarly, having a larger family size means that more family labor could be available for cassava production and marketing which could enable easily adoption of cassava agronomic practices (Nwaobiala, 2015;Saediman et al, 2019).…”
Section: Current Status Of Cassava Production In Dodoma Regionsupporting
confidence: 88%
“…These findings are justified by descriptive results whereby most famers reported to depend labos from the family. The findings are also supported by those of Maziku and Mashenene (2020) who found the similar results in Songwe region in Tanzania. Similarly, having a larger family size means that more family labor could be available for cassava production and marketing which could enable easily adoption of cassava agronomic practices (Nwaobiala, 2015;Saediman et al, 2019).…”
Section: Current Status Of Cassava Production In Dodoma Regionsupporting
confidence: 88%
“…PHLs of fruits and vegetables in Sub‐Saharan Africa range from 30% to 80%, depending on the type of crop and location (James & Zikankuba, 2017 ). In Tanzania, the PHLs of food cereal crops were estimated to range between 20% and 40% in 2019 (Maziku, 2019 ) and more than 40% for vegetables and fruits (Dome & Prusty, 2017 ). According to the Ministry of Agriculture ( 2019 ), PHLs are caused by different factors such as pest infestation, poor transportation infrastructures, improper storage practices, improper harvesting and drying practices, improper weighing and packaging, a lack of reliable markets, a lack of appropriate processing technologies, and a lack of farmer's knowledge on postharvest management along the value chain.…”
Section: Introductionmentioning
confidence: 99%
“…This concept is included here because they have been noted to be contributing to production efficiency among smallholder farmers [15]. On the other hand, Maziku, [16], defined post-harvest loss (PHL) as a grain loss that occurs after separation from the sire of production to the post-production point where the grains are prepared for consumption. PHL can be on quantity and or quality loss of food whereby quality loss may include inferior nutritional value, foodborne diseases, and economic value loss when the yield misses marker opportunity whereas quantity loss includes a loss that can be quantified with metrics [17].…”
Section: Understanding Technical Termsmentioning
confidence: 99%