This study modeled maize marketing model in Northern Zone of Tanzania together with its store-time for household income optimization. The study has been conducted in three regions i.e. Manyara, Arusha and Kilimanjaro in the selected nine Districts basing on their maize production volume i.e. Karatu, Hai, Siha, Arumeru, Mbulu, Hanang, Babati and Moshi rural. Focused Group Discussions (FGD), structured and semi-structured questionnaires were employed as data collection tools. Multivariate Linear Regression Models were developed together with some other statistical inferences so as to draw conclusions on the findings. This study reveals that, 94% of farmers depend highly on middlemen for marketing their maize grains. There is a significant relationship between maize marketing channels and household income with P-value = 0.04. Average store-time for majority of the respondents (70%) was found to be six-months. There was significant different (P-value = 0.002) between quantity harvested and store-time of maize in Northern Tanzania. From a multivariate regression linear model, it was found that, for household income optimization special attention should be given much on; production cost, storage cost, marketing cost and quantity of maize to be sold with reference to monthly price trend. This study recommends a range of four to seven month maize store-time for household sale and income optimization.
| Published in | International Journal of Agricultural Economics (Volume 4, Issue 4) |
| DOI | 10.11648/j.ijae.20190404.17 |
| Page(s) | 186-194 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2019. Published by Science Publishing Group |
Storage Structures, Market Channels, Production Cost, Storage Cost, Price Trends
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APA Style
Jennifer Swai, Ernest R. Mbega, Arnold Mushongi, Agness Ndunguru, Patrick A. Ndakidemi. (2019). Maize Marketing Model and Store-Time for Household Income Optimizations in Northern Zone of Tanzania. International Journal of Agricultural Economics, 4(4), 186-194. https://doi.org/10.11648/j.ijae.20190404.17
ACS Style
Jennifer Swai; Ernest R. Mbega; Arnold Mushongi; Agness Ndunguru; Patrick A. Ndakidemi. Maize Marketing Model and Store-Time for Household Income Optimizations in Northern Zone of Tanzania. Int. J. Agric. Econ. 2019, 4(4), 186-194. doi: 10.11648/j.ijae.20190404.17
AMA Style
Jennifer Swai, Ernest R. Mbega, Arnold Mushongi, Agness Ndunguru, Patrick A. Ndakidemi. Maize Marketing Model and Store-Time for Household Income Optimizations in Northern Zone of Tanzania. Int J Agric Econ. 2019;4(4):186-194. doi: 10.11648/j.ijae.20190404.17
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Download@article{10.11648/j.ijae.20190404.17,
author = {Jennifer Swai and Ernest R. Mbega and Arnold Mushongi and Agness Ndunguru and Patrick A. Ndakidemi},
title = {Maize Marketing Model and Store-Time for Household Income Optimizations in Northern Zone of Tanzania},
journal = {International Journal of Agricultural Economics},
volume = {4},
number = {4},
pages = {186-194},
doi = {10.11648/j.ijae.20190404.17},
url = {https://doi.org/10.11648/j.ijae.20190404.17},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20190404.17},
abstract = {This study modeled maize marketing model in Northern Zone of Tanzania together with its store-time for household income optimization. The study has been conducted in three regions i.e. Manyara, Arusha and Kilimanjaro in the selected nine Districts basing on their maize production volume i.e. Karatu, Hai, Siha, Arumeru, Mbulu, Hanang, Babati and Moshi rural. Focused Group Discussions (FGD), structured and semi-structured questionnaires were employed as data collection tools. Multivariate Linear Regression Models were developed together with some other statistical inferences so as to draw conclusions on the findings. This study reveals that, 94% of farmers depend highly on middlemen for marketing their maize grains. There is a significant relationship between maize marketing channels and household income with P-value = 0.04. Average store-time for majority of the respondents (70%) was found to be six-months. There was significant different (P-value = 0.002) between quantity harvested and store-time of maize in Northern Tanzania. From a multivariate regression linear model, it was found that, for household income optimization special attention should be given much on; production cost, storage cost, marketing cost and quantity of maize to be sold with reference to monthly price trend. This study recommends a range of four to seven month maize store-time for household sale and income optimization.},
year = {2019}
}
TY - JOUR T1 - Maize Marketing Model and Store-Time for Household Income Optimizations in Northern Zone of Tanzania AU - Jennifer Swai AU - Ernest R. Mbega AU - Arnold Mushongi AU - Agness Ndunguru AU - Patrick A. Ndakidemi Y1 - 2019/07/19 PY - 2019 N1 - https://doi.org/10.11648/j.ijae.20190404.17 DO - 10.11648/j.ijae.20190404.17 T2 - International Journal of Agricultural Economics JF - International Journal of Agricultural Economics JO - International Journal of Agricultural Economics SP - 186 EP - 194 PB - Science Publishing Group SN - 2575-3843 UR - https://doi.org/10.11648/j.ijae.20190404.17 AB - This study modeled maize marketing model in Northern Zone of Tanzania together with its store-time for household income optimization. The study has been conducted in three regions i.e. Manyara, Arusha and Kilimanjaro in the selected nine Districts basing on their maize production volume i.e. Karatu, Hai, Siha, Arumeru, Mbulu, Hanang, Babati and Moshi rural. Focused Group Discussions (FGD), structured and semi-structured questionnaires were employed as data collection tools. Multivariate Linear Regression Models were developed together with some other statistical inferences so as to draw conclusions on the findings. This study reveals that, 94% of farmers depend highly on middlemen for marketing their maize grains. There is a significant relationship between maize marketing channels and household income with P-value = 0.04. Average store-time for majority of the respondents (70%) was found to be six-months. There was significant different (P-value = 0.002) between quantity harvested and store-time of maize in Northern Tanzania. From a multivariate regression linear model, it was found that, for household income optimization special attention should be given much on; production cost, storage cost, marketing cost and quantity of maize to be sold with reference to monthly price trend. This study recommends a range of four to seven month maize store-time for household sale and income optimization. VL - 4 IS - 4 ER -
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