International Journal of Agricultural Economics

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Maize Marketing Model and Store-Time for Household Income Optimizations in Northern Zone of Tanzania

Received: 15 March 2019    Accepted: 22 April 2019    Published: 19 July 2019
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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.

DOI 10.11648/j.ijae.20190404.17
Published in International Journal of Agricultural Economics (Volume 4, Issue 4, July 2019)
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), 2024. Published by Science Publishing Group

Keywords

Storage Structures, Market Channels, Production Cost, Storage Cost, Price Trends

References
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Author Information
  • The Nelson Mandela African Institution of Science and Technology, School of Life Science and Bio-engineering, Department of Sustainable Agriculture Biodiversity and Ecosystem Management, Arusha, Tanzania

  • The Nelson Mandela African Institution of Science and Technology, School of Life Science and Bio-engineering, Department of Sustainable Agriculture Biodiversity and Ecosystem Management, Arusha, Tanzania

  • Ministry of Agriculture, Tanzania Agricultural Research Institute-Ilonga, Department of Crop Science, Morogoro, Tanzania

  • Ministry of Agriculture, Tanzania Agricultural Research Institute-Uyole, Department of Social–economics, Mbeya, Tanzania

  • The Nelson Mandela African Institution of Science and Technology, School of Life Science and Bio-engineering, Department of Sustainable Agriculture Biodiversity and Ecosystem Management, Arusha, Tanzania

Cite This Article
  • 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

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    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

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    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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  • @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://download.sciencepg.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}
    }
    

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  • 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
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    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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