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An Assessment of the Factors Influencing Farmers’ Access to Fertilizer Markets in Some Selected Local Government Areas in Kaduna State, Nigeria

Received: 18 January 2024     Accepted: 14 February 2024     Published: 7 March 2024
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Abstract

The study assessed the factors influencing farmers access to fertilizer markets in selected local government areas in Kaduna State. A multinomial regression analysis was used to assess whether the factors have significant effect on the odds of observing certain market categories. The model was assessed based on an alpha value of 0.05 and the result of the multinomial regression model were significant, χ2 (20) = 278.21, p < .001 suggesting that education, cooperative association, credit, distance, ease of use, availability, comparative cost, accessibility, affordability and quality had a significant effect on the odds of observing at least one of the response categories of the market relative the retailer outlet. The significant variables' influence on the odds of choosing specific market outlets is indicative of the multifaceted nature of farmers' decision-making processes. Education, cooperative membership, distance, and product availability emerged as key determinants of selecting retailers. Meanwhile, credit, quality, and availability of the product were found to influence the choice of wholesaler outlets. Understanding the interplay of these factors can guide policymakers, extension services, and market stakeholders in designing targeted interventions. Enhancing access to credit, improving product quality, and addressing distance-related challenges can facilitate better market access, promote value chain efficiency, and potentially lead to increased market participation and improved livelihoods for farmers

Published in International Journal of Agricultural Economics (Volume 9, Issue 2)
DOI 10.11648/j.ijae.20240902.11
Page(s) 41-45
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

Fertilizer, Power Analysis, Information Flow, Product Flow, Relationship Strength

References
[1] Economic Commission for Africa (ECA). (2018). Fertilizer Supply and Demand in Africa: A Review of Literature. United Nations.
[2] Food & Agriculture Organization (FAO). (2019). Smallholder farmers and financial inclusion. Retrieved from http://www.fao.org/3/CA3097EN/ca3097en.pdf
[3] FAO. (2021). The State of Food and Agriculture 2021. Food and Agriculture Organization of the United Nations.
[4] Haggblade, S., Smale, M., Kergna, A., Theriault, V., Assima, A., Keita, N., Kergna, O., Zoundi, J. (2018). Challenges and Opportunities for the Fertilizer Value Chain in West Africa: Results from a Rapid Market Appraisal. Michigan State University International Development Working Paper No. 146.
[5] Louviere, J. J., Hensher, D. A., & Swait, J. D. (2000). Stated Choice Methods: Analysis and Applications. Cambridge University Press.
[6] Menard, S. (2009). Applied logistic regression analysis. SAGE Publications.
[7] Pretty, J., Benton, T. G., Bharucha, Z. P., Dicks, L. V., Flora, C. B., Godfray, H. C. J., Goulson, D., Hartley, S., Lampkin, N., Morris, C., Pierzynski, G., Prasad, P. V. V., Reganold, J., Rockstrom, J., Smith, P., Thorne, P., Wratten, S. (2018). Global assessment of agricultural system redesign for sustainable intensification. Nature Sustainability, 1(8), 441-446.
[8] Sharma, S. (1996). Applied multivariate technique. John Wiley and Sons Inc., New York. Retrieved from https://pdf.webcabrio.com/applied-multivariate-technique.pdf on 20/03/2018
[9] Bashi, N. & Cetin, E. (2020). Determining of agricultural credit impact on agricultural production value in Turkey. Ciência Rural. v.50, n.11, p.1-13, 2020. Retrieved on: 27-02-2024. https://doi.org/10.1590/0103-8478cr20200003
[10] Moahid. M, Maharjan. K. L (2020). Factors Affecting Farmers’ Access to Formal and Informal Credit: Evidence from Rural Afghanistan. Sustainability 2020, 12(3), 1268; https://doi.org/10.3390/su12031268 retrieved from: Sustainability | Free Full-Text | Factors Affecting Farmers’ Access to Formal and Informal Credit: Evidence from Rural Afghanistan (mdpi.com)
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  • APA Style

    Maina, M. (2024). An Assessment of the Factors Influencing Farmers’ Access to Fertilizer Markets in Some Selected Local Government Areas in Kaduna State, Nigeria. International Journal of Agricultural Economics, 9(2), 41-45. https://doi.org/10.11648/j.ijae.20240902.11

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    ACS Style

    Maina, M. An Assessment of the Factors Influencing Farmers’ Access to Fertilizer Markets in Some Selected Local Government Areas in Kaduna State, Nigeria. Int. J. Agric. Econ. 2024, 9(2), 41-45. doi: 10.11648/j.ijae.20240902.11

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    AMA Style

    Maina M. An Assessment of the Factors Influencing Farmers’ Access to Fertilizer Markets in Some Selected Local Government Areas in Kaduna State, Nigeria. Int J Agric Econ. 2024;9(2):41-45. doi: 10.11648/j.ijae.20240902.11

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  • @article{10.11648/j.ijae.20240902.11,
      author = {Mohammed Maina},
      title = {An Assessment of the Factors Influencing Farmers’ Access to Fertilizer Markets in Some Selected Local Government Areas in Kaduna State, Nigeria},
      journal = {International Journal of Agricultural Economics},
      volume = {9},
      number = {2},
      pages = {41-45},
      doi = {10.11648/j.ijae.20240902.11},
      url = {https://doi.org/10.11648/j.ijae.20240902.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20240902.11},
      abstract = {The study assessed the factors influencing farmers access to fertilizer markets in selected local government areas in Kaduna State. A multinomial regression analysis was used to assess whether the factors have significant effect on the odds of observing certain market categories. The model was assessed based on an alpha value of 0.05 and the result of the multinomial regression model were significant, χ2 (20) = 278.21, p < .001 suggesting that education, cooperative association, credit, distance, ease of use, availability, comparative cost, accessibility, affordability and quality had a significant effect on the odds of observing at least one of the response categories of the market relative the retailer outlet. The significant variables' influence on the odds of choosing specific market outlets is indicative of the multifaceted nature of farmers' decision-making processes. Education, cooperative membership, distance, and product availability emerged as key determinants of selecting retailers. Meanwhile, credit, quality, and availability of the product were found to influence the choice of wholesaler outlets. Understanding the interplay of these factors can guide policymakers, extension services, and market stakeholders in designing targeted interventions. Enhancing access to credit, improving product quality, and addressing distance-related challenges can facilitate better market access, promote value chain efficiency, and potentially lead to increased market participation and improved livelihoods for farmers
    },
     year = {2024}
    }
    

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    AU  - Mohammed Maina
    Y1  - 2024/03/07
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    DO  - 10.11648/j.ijae.20240902.11
    T2  - International Journal of Agricultural Economics
    JF  - International Journal of Agricultural Economics
    JO  - International Journal of Agricultural Economics
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    AB  - The study assessed the factors influencing farmers access to fertilizer markets in selected local government areas in Kaduna State. A multinomial regression analysis was used to assess whether the factors have significant effect on the odds of observing certain market categories. The model was assessed based on an alpha value of 0.05 and the result of the multinomial regression model were significant, χ2 (20) = 278.21, p < .001 suggesting that education, cooperative association, credit, distance, ease of use, availability, comparative cost, accessibility, affordability and quality had a significant effect on the odds of observing at least one of the response categories of the market relative the retailer outlet. The significant variables' influence on the odds of choosing specific market outlets is indicative of the multifaceted nature of farmers' decision-making processes. Education, cooperative membership, distance, and product availability emerged as key determinants of selecting retailers. Meanwhile, credit, quality, and availability of the product were found to influence the choice of wholesaler outlets. Understanding the interplay of these factors can guide policymakers, extension services, and market stakeholders in designing targeted interventions. Enhancing access to credit, improving product quality, and addressing distance-related challenges can facilitate better market access, promote value chain efficiency, and potentially lead to increased market participation and improved livelihoods for farmers
    
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Author Information
  • Department of Agricultural Economics, Faculty of Agriculture, Institute of Agricultural Research, Ahmadu Bello University, Zaria, Nigeria

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