Volume 4, Issue 4, July 2019, Page: 186-194
Maize Marketing Model and Store-Time for Household Income Optimizations in Northern Zone of Tanzania
Jennifer Swai, 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
Ernest R. Mbega, 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
Arnold Mushongi, Ministry of Agriculture, Tanzania Agricultural Research Institute-Ilonga, Department of Crop Science, Morogoro, Tanzania
Agness Ndunguru, Ministry of Agriculture, Tanzania Agricultural Research Institute-Uyole, Department of Social–economics, Mbeya, Tanzania
Patrick A. Ndakidemi, 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
Received: Mar. 15, 2019;       Accepted: Apr. 22, 2019;       Published: Jul. 19, 2019
DOI: 10.11648/j.ijae.20190404.17      View  40      Downloads  14
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.
Storage Structures, Market Channels, Production Cost, Storage Cost, Price Trends
To cite this article
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, International Journal of Agricultural Economics. Vol. 4, No. 4, 2019, pp. 186-194. doi: 10.11648/j.ijae.20190404.17
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This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Suleiman, R. A. and Rosentrater, K. A. (2015). Current Maize Production, Postharvest Losses and the Risk of Mycotoxins Contamination in Tanzania. In 2015 ASABE International Meeting (pp. 1–28). https://doi.org/10.13031/aim.20152189434
Amani, H. (2004). Agricultural development and food security in sub ‒Saharan Africa Tanzania Country report. Economic and Social Research Foundation (ESRF), (August). Retrieved from http://www.sarpn.org/documents/d0001583/FAO2005_Casestudies_Tanzania.pdf
URT‒MAFC (2013). National Agriculture Policy Draft, Dar ‒es ‒Salaam, February 2013, 47, RetrievedfromHTTP://www.tzdpg.or.tz/fileadmin/documents/dpg_internal/dpg_working_groups_clusters/cluster_1/agriculture/2._Ag_policies_and_strategies/National_ag_policies/1._2013_NATIONAL_AGRICULTURAL_POLICY_ ‒_FINALFebruari_2013.pdf
Nyangito, H., 1997. A review of policies on the maize sub-sector in Kenya, Institute of Policy Analysis and Research, Nairobi, Kenya.
Larsen, A. F., & Lilleør, H. B. (2014). Beyond the field: The impact of farmer field schools on food security and poverty alleviation. World Development, 64, 843–859. https://doi.org/10.1016/j.worlddev.2014.07.003
Kilima, F. T. M., Chung, C., Kenkel, P. Mbiha, E. R. (2008). Impacts of market reform on spatial volatility of maize prices in Tanzania. Journal of Agricultural Economics, 59 (2), 257–270. https://doi.org/10.1111/j.1477 ‒9552.2007.00146.x
Stephens, E. C. and Barrett, C. B. (2011). Incomplete credit markets and commodity marketing behaviour. Journal of Agricultural Economics 62 (1), 1‒24. https://doi.org/10.1111/j.1477-9552.2010.00274.x
Park, A. (2006). Risk and household grain management in developing countries. The Economic Journal 116 (514), 1088‒1115. https://doi.org/10.1111/j.1468-0297.2006.01124.x
Lowenberg‒DeBoer, J., Abdoulaye, T. Kabore, D. (1994). The opportunity cost of capital for agriculture in the Sahel: Case study evidence from Niger and Burkina Faso (staff paper). West Lafayette, IN: Purdue University Department of Agricultural Economics. (94‒2).
Katengeza, S., Mangisoni, J. H., Kassie, G. T., Sutcliffe, C., Langyintuo, A. S., La Rovere, R., & Mwangi, W. M. (2012). Drivers of improved maize variety adoption in drought prone areas of Malawi. Journal of Development and Agricultural Economics, 4 (14), 393-403. doi: 10.5897/jdae12.029.
Mason, N. M. and Smale, M. (2013). Impacts of subsidized hybrid seed on indicators of economic well‐being among smallholder maize growers in Zambia. Agricultural Economics 44 (6), 659 ‒670. https://doi.org/10.1111/agec.12080
Bezu, S., Kassie, G. T., Shiferaw, B. Ricker-Gilbert, J. (2014). Impact of improved maize adoption on the welfare of farm households in Malawi: a panel data analysis. World Development 59, 120 ‒131. https://doi.org/10.1016/j.worlddev.2014.01.023
Ricker‒Gilbert, J. and Jones, M. (2015). Does storage technology affect adoption of improved maize varieties in Africa? Insights from Malawi’s input subsidy program. Food policy 50, 92 ‒105. https://doi.org/10.1016/j.foodpol.2014.10.015
Boxall, R. A. (2002). Damage and loss caused by the Larger Grain Borer Prostephanus truncatus. Integrated Pest Management Reviews 7 (2), 105–121 https://doi.org/10.1023/A:1026397115946
FAO, (2015). The State of Food Insecurity in the World 348, Rome. Retrieved from (www.fao.org/publications).
Brennan, M. J. (1958). The supply of storage. The American Economic Review, 48 (1), 50‒72.
Renkow, M. (1990). Household inventories and marketed surplus in semisubsistence agriculture. American Journal of Agricultural Economics 72 (3), 664‒675.
Saha, A. and Stroud, J. (1994). A household model of on‒farm storage under price risk. American Journal of Agricultural Economics 76 (3), 522‒534.
Zuur, A. F., Ieno, E. N., Elphick, C. S. (2010) A protocol for data exploration to avoid common statistical problems, Methods in ecology and evolution 1 (1), 3‒14.
Swai, J., Mbega, E. R., Mushongi, A., Ndakidemi, P. A. (2019). Post-harvest losses in maize store-time and marketing model perspectives in Sub-Saharan Africa. Journal of Stored Products and Postharvest Research, 10 (1), 1-12.
Bywaters, D. and Mlodkowski, P. (2012). The role of transactions costs in economic growth. The International Journal of Economic Policy Studies 7: 53–66.
Thirtle, Colin, Lin Lin, and Jenifer Piesse (2003) "The impact of research-led agricultural productivity growth on poverty reduction in Africa, Asia and Latin America." World Development 31.12 (2003): 1959-1975.
Miller, D. J. and Hayenga, M. L. (2001). Price cycles and asymmetric price transmission in the U.S. pork market. American Journal of Agricultural Economics 83 (3), 551–562. https://doi.org/10.1111/0002 ‒9092.00177
Udoh, J. M., Cardwell, K. F. Ikotun, T. (2000). Storage structures and aflatoxin content of maize in five agroecological zones of Nigeria. Journal of Stored Products Research, 36 (2), 187‒201. https://doi.org/10.1016/S0022‒474X(99)00042‒9.
Thamaga‒Chitja, J. M., Hendriks, S. L., Ortmann, G. F. Green, M. (2004). Impact of maize storage on rural household food security in Northern KwaZulu‒Natal. Journal of Consumer Sciences 32 (1). https://www.ajol.info/index.php/jfecs/article/viewFile/52843/41445
Baoua, I. B., Margam, V., Amadou, L. Murdock, L. L. (2012). Performance of triple bagging hermetic technology for postharvest storage of cowpea grain in Niger. Journal of Stored Products Research 51, 81–85. https://doi.org/10.1016/j.jspr.2012.07.003
Kherallah, M. and Kirsten, J. F. (2002). The New Institutional Economics: Applications For Agricultural Policy Research In Developing Countries. Agrekon, 41 (2), 110‒133.
Makhura, M. T. (2001). Overcoming transaction costs barriers to market participation of smallholder farmers in the Northern Province of South Africa (Doctoral dissertation, University of Pretoria).
Mmbando, F. E., Wale, E., Baiyegunhi, L. J. S. Darroch, M. A. G. (2016). The choice of marketing channel by maize and pigeonpea smallholder farmers: evidence from the northern and eastern zones of Tanzania. Agrekon, 55 (3), 254‒277.
Chirwa, E. W. 2009. Determinants of marketing channels among smallholder maize farmers In Malawi. Department of Economics, University of Malawi. Working Paper No. 2009/03.
Jayne, T. S., Mather, D., and Mghenyi, E. (2010). Principal challenges confronting smallholder agriculture in Sub-Saharan Africa. World development, 38 (10), 1384-1398 doi: 10.1016/j.worlddev.2010.06.002.
Sitko, N. J. and Jayne, T. S. (2014). Exploitative briefcase businessmen, parasites, and other myths and legends: assembly traders and the performance of maize markets in eastern and southern Africa, World Development. 54: 56‒67. http://dx.doi.org/10.1016/j.worlddev.2013.07.008
Azam, M. S., Imai, K. S. Gaiha, R. (2012). Agricultural supply response and smallholders market participation–the case of Cambodia. Kobe, University Japan.
Mather, D., Boughton, D. Jayne, T. S. (2013). Explaining smallholder maize marketing in southern and eastern Africa: The roles of market access, technology and household resource endowments. Food Policy 43, 248‒266. https://doi.org/10.1016/j.foodpol.2013.09.008
Mathur, P. N. and Ezekiel, H. (1961). Marketable surplus of food and price fluctuations in a developing economy. Kyklos 14 (3), 396‒408. https://doi.org/10.1111/j.1467-6435.1961.tb00360.x
Enke, S. (1963). Economics for development. Prentice‒Hall.
Mvula, P. M., Chirwa, E. W. Kadzandira, J. (2003). Poverty and Social Impact Assessment in Malawi: Closure of ADMARC Markets. Draft Final Report submitted to Social Development Department, World Bank and Economic Section/PRSP Support, GTZ.
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