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Analysis of Determinants of Soybean (Glycine max.) Market Supply in the Case of Assosa Zone of Benishangulgumuz Regional State, Ethiopia

Received: 21 November 2023    Accepted: 6 December 2023    Published: 11 January 2024
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Abstract

One of the most significant and essential oilseeds for domestic use, commercial markets, industrial input, and cash cropping is soyabean. Thus, the purpose of this study was to examine the variables influencing the supply of soybean farmers to the market. The study was conducted in Homosha and Assosa woreda of Assosa zone in Benishangul Gumuz regional state of west Ethiopia. Assosa city is 683 km far from the capital Addis Ababa in west of the country. The study was conducted in the seven kebeles (Selga 24, Afasizm, Amba 01, Amba 10, Algela, Dareselam and Ashura) which found in Homosha and Assosa Woreda, Assosa zone, Western Ethiopia. Both primary and secondary sources provided the data. Using a structured questionnaire, individual interviews were used to gather the primary data. 194 randomly chosen households in the Assosa and Homosha districts provided the primary data for this study, which were then gathered through interviews. The multiple linear regression models' results show that, as predicted, the number of oxen owned and the size of the land sold for soybeans had a significant impact on the amount of soybeans that households marketed. Therefore, if the market supply needs to be increased, special attention must be paid to these variables. The government ought to be enticing farmers by spreading knowledge about the benefits of using oxen and how to manage their land.

Published in Research & Development (Volume 5, Issue 1)
DOI 10.11648/j.rd.20240501.11
Page(s) 1-4
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

Cash Crop, Commercial, Multilinear Regression, Benishangul Gumuz, Ethiopia

References
[1] Abrha, T., Emanna, B., & Gebre, G. G. (2020). Factors affecting onion market supply in Medebay Zana district, Tigray regional state, Northern Ethiopia. Cogent Food & Agriculture, 6, 1712144. https://doi.org/10.1080/23311932.2020.1712144
[2] Achamyelh, K., & Hailemariam, M. (2020). Challenges and opportunities of soybean marketing in Chewaka District, Ethiopia. Asian Journal of Economics, Business and Accounting, 13–22. https://doi.org/10.9734/ajeba/2020/v17i130250
[3] Achamyelh, K., Shumeta, Z., Tesfaye, A., & Hailemariam, M. (2020). Soybean (Glycine max (L.) Merril) value chain analysis in case of Jimma Zone, Southwestern Ethiopia. International Journal of Economic and BusinessManagement, 8, 1–10. https://www.academicresearchjournals.org/IJEBM/PDF/2020/January/Kumilachew%20et%20al.pdf
[4] Adeleke Salami, Abdul B. Kamara, and Zuzana Brixiova. Smallholder agriculture in East Africa: Trends, constraints and opportunities. Tunis, Tunisia: African Development Bank, 2010.
[5] Akello Mirriam, Jayne Mugwe, Jamal Nasar, Oscar Kisaka, Shivani Ranjan, Harun Gitari, "Role of Phosphorus and Inoculation with Bradyrhizobium in Enhancing Soybean Production", Advances in Agriculture, vol. 2023, Article ID 3231623, 14 pages, 2023. https://doi.org/10.1155/2023/3231623
[6] Belayneh, A. W., Yesho, E. G., Gemeyida, K. H., & Merah, O. (2022). Determinants of sesame market supply in West Omo and Bench Sheko zones, Southwest Ethiopia. International Journal of Agronomy, 2022, 1–8. https://doi.org/10.1155/2022/5134478
[7] Belete Woundefiraw Alemu, Birhanu Argaw Embiale. Review on Adoption of Improved Soya Bean Technologies: Empirical Evidence from Ethiopia. Science Frontiers. Vol. 4, No. 1, 2023, pp. 1-7. doi: 10.11648/j.sf.20230401.11.
[8] Brivery Siamabele. "The significance of soybean production in the face of changing climates in Africa." Cogent Food & Agriculture 7, no. 1(2021): 1933745.
[9] Central Statistical Agency. 2016. "Agricultural Sample Survey 2015/16 (2008 E. C) Volume V: Report on Area, Production, and Farm Management Practice of Belg Season Crops for Private Peasant Holdings." Statistical Bulletin V (578).
[10] Esayas Hambisa Negasa, and Mustafa Bati Geda. "Factors Affecting Soybean Producers Supply to the Market in Buno Bedele Zone, South Western Ethiopia." International Journal 7, no. 1(2020): 245-249.
[11] FAO (Food and Agriculture Organization of the United Nations), 2021. FAOSTAT. Crops and livestock products.
[12] Fentahun, G.-E. (2019). Production and marketing trends of soy bean in Ethiopia. https://doi.org/10.7176/jmcr%2F59-02
[13] Hasan, N., Suryani, E., & Hendrawan, R. (2015). Analysis of soybean production and demand to develop strategic policy of food self-sufficiency: A system dynamics framework. Procedia Computer Science, 72, 605–612. https://doi.org/10.1016/j.procs.2015.12.169
[14] Murithi, H. M., Beed, F., Tukamuhabwa, P., Thomma, B. P. H. J. and Joosten, M. H. A. J., 2016. Soybean production in eastern and southern Africa and threat of yield loss due to soybean rust caused by Phakopsora pachyrhizi. Plant pathology, 65(2), pp. 176-188.
[15] Takele Atnafu Delele, Almaz Giziew Adugna, and Birhanu Melesse Gelaw. "Determinants of soybean (Glycine max.) market supply in Northwestern Ethiopia." Cogent Economics & Finance 10, no. 1 (2022): 2142313.
[16] Thomas Sinclair R., Helene Marrou, Afshin Soltani, Vincent Vadez, and Krishna C. Chandolu. "Soybean production potential in Africa." Global Food Security 3, no. 1(2014): 31-40.
[17] Yamane, Taro. (1967): Statistics: An Introductory Analysis, 2nd Ed., New York: Harper and Row. Zodpey, S P (2004): Sample size and power analysis in medical research, Indian J. Dermatol. Venereol. Leprol, 70(2), 123-128.
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  • APA Style

    Beyene, A. K. (2024). Analysis of Determinants of Soybean (Glycine max.) Market Supply in the Case of Assosa Zone of Benishangulgumuz Regional State, Ethiopia. Research & Development, 5(1), 1-4. https://doi.org/10.11648/j.rd.20240501.11

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    ACS Style

    Beyene, A. K. Analysis of Determinants of Soybean (Glycine max.) Market Supply in the Case of Assosa Zone of Benishangulgumuz Regional State, Ethiopia. Res. Dev. 2024, 5(1), 1-4. doi: 10.11648/j.rd.20240501.11

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    AMA Style

    Beyene AK. Analysis of Determinants of Soybean (Glycine max.) Market Supply in the Case of Assosa Zone of Benishangulgumuz Regional State, Ethiopia. Res Dev. 2024;5(1):1-4. doi: 10.11648/j.rd.20240501.11

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  • @article{10.11648/j.rd.20240501.11,
      author = {Alemayehu Keba Beyene},
      title = {Analysis of Determinants of Soybean (Glycine max.) Market Supply in the Case of Assosa Zone of Benishangulgumuz Regional State, Ethiopia},
      journal = {Research & Development},
      volume = {5},
      number = {1},
      pages = {1-4},
      doi = {10.11648/j.rd.20240501.11},
      url = {https://doi.org/10.11648/j.rd.20240501.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.rd.20240501.11},
      abstract = {One of the most significant and essential oilseeds for domestic use, commercial markets, industrial input, and cash cropping is soyabean. Thus, the purpose of this study was to examine the variables influencing the supply of soybean farmers to the market. The study was conducted in Homosha and Assosa woreda of Assosa zone in Benishangul Gumuz regional state of west Ethiopia. Assosa city is 683 km far from the capital Addis Ababa in west of the country. The study was conducted in the seven kebeles (Selga 24, Afasizm, Amba 01, Amba 10, Algela, Dareselam and Ashura) which found in Homosha and Assosa Woreda, Assosa zone, Western Ethiopia. Both primary and secondary sources provided the data. Using a structured questionnaire, individual interviews were used to gather the primary data. 194 randomly chosen households in the Assosa and Homosha districts provided the primary data for this study, which were then gathered through interviews. The multiple linear regression models' results show that, as predicted, the number of oxen owned and the size of the land sold for soybeans had a significant impact on the amount of soybeans that households marketed. Therefore, if the market supply needs to be increased, special attention must be paid to these variables. The government ought to be enticing farmers by spreading knowledge about the benefits of using oxen and how to manage their land.
    },
     year = {2024}
    }
    

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    AB  - One of the most significant and essential oilseeds for domestic use, commercial markets, industrial input, and cash cropping is soyabean. Thus, the purpose of this study was to examine the variables influencing the supply of soybean farmers to the market. The study was conducted in Homosha and Assosa woreda of Assosa zone in Benishangul Gumuz regional state of west Ethiopia. Assosa city is 683 km far from the capital Addis Ababa in west of the country. The study was conducted in the seven kebeles (Selga 24, Afasizm, Amba 01, Amba 10, Algela, Dareselam and Ashura) which found in Homosha and Assosa Woreda, Assosa zone, Western Ethiopia. Both primary and secondary sources provided the data. Using a structured questionnaire, individual interviews were used to gather the primary data. 194 randomly chosen households in the Assosa and Homosha districts provided the primary data for this study, which were then gathered through interviews. The multiple linear regression models' results show that, as predicted, the number of oxen owned and the size of the land sold for soybeans had a significant impact on the amount of soybeans that households marketed. Therefore, if the market supply needs to be increased, special attention must be paid to these variables. The government ought to be enticing farmers by spreading knowledge about the benefits of using oxen and how to manage their land.
    
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Author Information
  • Ethiopian Institute of Agricultural Research (EIAR), Addis Ababa, Ethiopia

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