This study examined the structure of participants in dry white maize (Zea Mays) marketing in Southeast, Nigeria. Specifically, it described the roles and linkages of dry white maize intermediaries and examined the dry white maize market structure in the study area. Multi-stage sampling method was used to select select three States (Anambra, Enugu and Imo), 15 Local Government Area (LGAs), 15 largest and busiest daily markets and 225 intermediaries (75 wholesalers and 150 retailers for the study) who were served with structured questionnaire to obtain primary data. Descriptive statistics, such as frequency distribution, flow chart and percentage were used to describe the market channels. The Gini coefficient was used to determine the market concentration or nature of competition in the market i.e. market structure. Four channels of dry maize were identified. Gini coefficient indices of 0.321 for producers/suppliers of white maize, 0.285 and 0.224 for wholesalers and retailers of white maize maize reflected evidence of a fairly competitive market. Government should provide necessary transportation facilities such as good network of roads and mass transit vehicles so as to ameliorate the transportation problems of the marketers, improve the distribution system and reduce unhealthy competition amongst the marketers.
Published in | International Journal of Agricultural Economics (Volume 3, Issue 4) |
DOI | 10.11648/j.ijae.20180304.12 |
Page(s) | 72-75 |
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), 2018. Published by Science Publishing Group |
Market Channel, Market Structure, Dry Maize; Southeast
[1] | Food and Agricultural Organization, FAO. (2013). The major significance of minor forest products: the local use and value of non-timer forest product to local people. |
[2] | Central Bank of Nigeria, (CBN). (2014). Statistics bulletin financial statistics. second quarter. Abuja Nigeria. Retrieved from http//www.cenbank.org/documents/statbulletin.asp. |
[3] | Ahmed, B. (1996). Economic analysis of fertilizer used in maize production in maize production in the Northern Guinea Savannah of Nigeria. Unpublished ph. D thesis, department of Agric. Economics and Rural sociology Ahmadu Bello University, Zaria, Nigeria. |
[4] | Onuk, E. G., Ogara I. M, Yahaya, H., & Nannim N (2010) Economic Analysis of Maize Production in Mangu Local Government Area of Plateau State, Nigeria. Journal of production, agriculture and technology. 6(1):1-11. |
[5] | Gupta, S. (2011). Sustainability of Scientific maize Cultivation practices in Utter Pradesh, India. Journal of Biology, Agriculture and Healthcare, 1(4)14-18. |
[6] | Kotler, P., & Keller, K. L. (2013). Marketing Managements Pearson Edinburgh Gate, England. P. 437. |
[7] | Duc Hai, L. T. (2003). The organization of the liberalized rice market in vietnam PhD dissertation, University of Groingen, Netherlands. |
[8] | Ozor, M. U. (2018). Dry maize marketing in South East, Nigeria. Unpublished PhD. Dissertation, Anambra State University, Igbariam Campus. |
[9] | Ugwumba, C. O. A., Okoh, R. N., & Uzoegbunam, C. O. (2011). Market Structure of Live-Catfish in Anambra State, Nigeria, Journal of Agriculture and Social Sciences. Friends Science Publishers. (7), 25-29. |
[10] | Arene, C. J. (2003). An introduction to Agricultural marketing Analysis and Policy. Enugu, Nigeria: Fulladu Publishing Company. |
[11] | Ogunniyi, L. T (2011). Determinants of Profit Efficiency Among Small Scale Maize Farmers In Oyo State, Nigeria. ARPN Journal of Agricultural and Biological Sciences, 6(1): 11-17. |
[12] | National population Commission, (NPC) (2006). National population commission Publication, Abuja Nigeria, 2006. |
[13] | Afolabi, J. A., & Ekunwe, P. A. (2008). An assessment of grain marketing in South-Western, Nigeria. Journal of social science, 21(1):33-38. |
APA Style
Ozor Maurice Uchechukwu, Nwankwo Temple Nneamaka. (2018). Structure of Dry White Maize (Zea Mays) Market in Southeastern, Nigeria. International Journal of Agricultural Economics, 3(4), 72-75. https://doi.org/10.11648/j.ijae.20180304.12
ACS Style
Ozor Maurice Uchechukwu; Nwankwo Temple Nneamaka. Structure of Dry White Maize (Zea Mays) Market in Southeastern, Nigeria. Int. J. Agric. Econ. 2018, 3(4), 72-75. doi: 10.11648/j.ijae.20180304.12
AMA Style
Ozor Maurice Uchechukwu, Nwankwo Temple Nneamaka. Structure of Dry White Maize (Zea Mays) Market in Southeastern, Nigeria. Int J Agric Econ. 2018;3(4):72-75. doi: 10.11648/j.ijae.20180304.12
@article{10.11648/j.ijae.20180304.12, author = {Ozor Maurice Uchechukwu and Nwankwo Temple Nneamaka}, title = {Structure of Dry White Maize (Zea Mays) Market in Southeastern, Nigeria}, journal = {International Journal of Agricultural Economics}, volume = {3}, number = {4}, pages = {72-75}, doi = {10.11648/j.ijae.20180304.12}, url = {https://doi.org/10.11648/j.ijae.20180304.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20180304.12}, abstract = {This study examined the structure of participants in dry white maize (Zea Mays) marketing in Southeast, Nigeria. Specifically, it described the roles and linkages of dry white maize intermediaries and examined the dry white maize market structure in the study area. Multi-stage sampling method was used to select select three States (Anambra, Enugu and Imo), 15 Local Government Area (LGAs), 15 largest and busiest daily markets and 225 intermediaries (75 wholesalers and 150 retailers for the study) who were served with structured questionnaire to obtain primary data. Descriptive statistics, such as frequency distribution, flow chart and percentage were used to describe the market channels. The Gini coefficient was used to determine the market concentration or nature of competition in the market i.e. market structure. Four channels of dry maize were identified. Gini coefficient indices of 0.321 for producers/suppliers of white maize, 0.285 and 0.224 for wholesalers and retailers of white maize maize reflected evidence of a fairly competitive market. Government should provide necessary transportation facilities such as good network of roads and mass transit vehicles so as to ameliorate the transportation problems of the marketers, improve the distribution system and reduce unhealthy competition amongst the marketers.}, year = {2018} }
TY - JOUR T1 - Structure of Dry White Maize (Zea Mays) Market in Southeastern, Nigeria AU - Ozor Maurice Uchechukwu AU - Nwankwo Temple Nneamaka Y1 - 2018/07/23 PY - 2018 N1 - https://doi.org/10.11648/j.ijae.20180304.12 DO - 10.11648/j.ijae.20180304.12 T2 - International Journal of Agricultural Economics JF - International Journal of Agricultural Economics JO - International Journal of Agricultural Economics SP - 72 EP - 75 PB - Science Publishing Group SN - 2575-3843 UR - https://doi.org/10.11648/j.ijae.20180304.12 AB - This study examined the structure of participants in dry white maize (Zea Mays) marketing in Southeast, Nigeria. Specifically, it described the roles and linkages of dry white maize intermediaries and examined the dry white maize market structure in the study area. Multi-stage sampling method was used to select select three States (Anambra, Enugu and Imo), 15 Local Government Area (LGAs), 15 largest and busiest daily markets and 225 intermediaries (75 wholesalers and 150 retailers for the study) who were served with structured questionnaire to obtain primary data. Descriptive statistics, such as frequency distribution, flow chart and percentage were used to describe the market channels. The Gini coefficient was used to determine the market concentration or nature of competition in the market i.e. market structure. Four channels of dry maize were identified. Gini coefficient indices of 0.321 for producers/suppliers of white maize, 0.285 and 0.224 for wholesalers and retailers of white maize maize reflected evidence of a fairly competitive market. Government should provide necessary transportation facilities such as good network of roads and mass transit vehicles so as to ameliorate the transportation problems of the marketers, improve the distribution system and reduce unhealthy competition amongst the marketers. VL - 3 IS - 4 ER -