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Barriers to Livelihood Diversification and Welfare Outcomes of Artisanal Fishing Households Along Shiroro and Kainji Dams, Nigeria

Received: 10 March 2026     Accepted: 27 July 2026     Published: 17 August 2026
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Abstract

This study examined the barriers to livelihood diversification and welfare outcomes of artisanal fishing households along Shiroro and Kainji dams, Nigeria and welfare outcomes of artisanal fishing households along Shiroro and Kainji dams. A cross-sectional survey of 300 fishers across 50 villages was conducted, with data analyzed using Exploratory Factor Analysis (EFA) and the Simpson Diversification Index (SDI). Economic constraints high cost of fishing gear (72.0%), limited access to credit (72.7%), and inadequate operating capital (71.0%) were the most severe factors affecting livelihoods. Institutional challenges, including limited extension services (52.7%) and inadequate training (49.0%), alongside environmental stressors such as seasonal water-level fluctuations (36.3%) and climate variability (36.3%), also influenced outcomes. EFA identified Economic Welfare (Factor 1), comprising fishing income (0.82), income from other activities (0.79), and household expenditure (0.75), as the most influential determinant of well-being. Access to services (Factor 2), Food Security (Factor 3), and Asset Ownership (Factor 4) further shaped household welfare. Livelihood diversification was high (SDI = 0.955), dominated by arable farming (59.3%), poultry (50.2%), and livestock (45.9%) and supplemented by petty trading, night guarding, and small-scale processing. The study concludes that diversified livelihoods help households mitigate risks from declining fish stocks and environmental variability. Policy interventions promoting financial inclusion, access to affordable inputs, institutional support, and market development are essential for sustaining welfare and fostering resilient artisanal fisheries.

Published in Ecology and Evolutionary Biology (Volume 11, Issue 3)
DOI 10.11648/j.eeb.20261103.11
Page(s) 41-50
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), 2026. Published by Science Publishing Group

Keywords

Artisanal Fisheries, Barriers, Livelihood Diversification, Simpson Diversification Index, Household Welfare, Shiroro and Kainji Dams

References
[1] Adepoju, A. A., Ogunleye, T., & Bello, H. (2022). Livelihood diversification among artisanal fishers in Nigeria: Strategies and outcomes. Fisheries Research, 250, 106345.
[2] Allison, E. H., Perry, A. L., Badjeck, M.-C., Adger, W. N., Brown, K., Conway, D., Halls, A. S., Pilling, G. M., Reynolds, J. D., & Andrew, N. L. (2022). Climate change impacts on small-scale fisheries. Global Environmental Change, 73, 102470.
[3] Béné, C., Macfadyen, G., & Allison, E. H. (2020). Increasing the contribution of small-scale fisheries to poverty alleviation and food security. Fish and Fisheries, 21(5), 1037–1057.
[4] Belton, B., Little, D. C., Zhang, W., Edwards, P., Skladany, M., & Thilsted, S. H. (2021). Farming fish in a changing world: Aquaculture and resilience. Global Food Security, 30, 100563.
[5] FAO. (2024). The State of World Fisheries and Aquaculture 2024: Blue Transformation in Action. Food and Agriculture Organization of the United Nations.
[6] Gephart, J. A., Henriksson, P. J. G., Parker, R. W. R., Shepon, A., Gorospe, K. D., Bergman, K., Eshel, G., Golden, C. D., Halpern, B. S., Hornborg, S., Jonell, M., Metian, M., Mifflin, K., Newton, R., Tyemers, P., Troell, M., & Davis, K. F. (2021). Environmental performance of blue foods. Nature, 597(7876), 360–365.
[7] Kolding, J., van Zwieten, P. A. M., & Mkumbo, O. C. (2021). Small-scale inland fisheries in Africa: Diversification strategies and resilience. Aquatic Living Resources, 34, 12.
[8] Mohammed, A., & Uraguchi, Z. (2023). Adaptive livelihood strategies in inland fisheries: Evidence from Nigerian reservoirs. Marine Policy, 147, 105479.
[9] Nash, K. L., Blythe, J. L., Cvitanovic, C., Fulton, E. A., Halpern, B. S., Milner-Gulland, E. J., & Watson, R. A. (2022). To achieve a sustainable blue future, progress assessments must include interdependencies between the Sustainable Development Goals. One Earth, 5(2), 148–156.
[10] Organisation for Economic Co-operation and Development (OECD). (2023). OECD Review of Fisheries 2023: Policies and Summary Statistics. OECD Publishing.
[11] Sumaila, U. R., Skerritt, D. J., Schuhbauer, A., Villasante, S., Cisneros-Montemayor, A. M., Sinan, H., Burnside, D., & Abdallah, P. (2021). WTO must ban harmful fisheries subsidies. Science, 374(6567), 544–544.
[12] United Nations. (2023). The Sustainable Development Goals Report 2023. United Nations.
[13] World Bank. (2023). The Blue Economy: Development Framework for Sustainable Growth. World Bank.
[14] Ye, Y., Cochrane, K., Bianchi, G., Willmann, R., Majkowski, J., & Tandstad, M. (2022). Rebuilding global fisheries: The World Bank and FAO perspective. Marine Policy, 138, 104992.
[15] Zhang, W., Belton, B., Edwards, P., Henriksson, P. J. G., Little, D. C., Newton, R., Troell, M., & Phillips, M. J. (2022). Aquaculture will continue to depend on capture fisheries for nutrients. Nature Food, 3(1), 57–63.
[16] Yamane, T. (1967). Statistics: An introductory analysis (2nd ed.). New York, NY: Harper and Row.
Cite This Article
  • APA Style

    Alhassan, Y. J., Istifanus, T. I., James, C. (2026). Barriers to Livelihood Diversification and Welfare Outcomes of Artisanal Fishing Households Along Shiroro and Kainji Dams, Nigeria. Ecology and Evolutionary Biology, 11(3), 41-50. https://doi.org/10.11648/j.eeb.20261103.11

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    ACS Style

    Alhassan, Y. J.; Istifanus, T. I.; James, C. Barriers to Livelihood Diversification and Welfare Outcomes of Artisanal Fishing Households Along Shiroro and Kainji Dams, Nigeria. Ecol. Evol. Biol. 2026, 11(3), 41-50. doi: 10.11648/j.eeb.20261103.11

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    AMA Style

    Alhassan YJ, Istifanus TI, James C. Barriers to Livelihood Diversification and Welfare Outcomes of Artisanal Fishing Households Along Shiroro and Kainji Dams, Nigeria. Ecol Evol Biol. 2026;11(3):41-50. doi: 10.11648/j.eeb.20261103.11

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  • @article{10.11648/j.eeb.20261103.11,
      author = {Yohanna John Alhassan and Tsukutoda Israel Istifanus and Cuba James},
      title = {Barriers to Livelihood Diversification and Welfare Outcomes of Artisanal Fishing Households Along Shiroro and Kainji Dams, Nigeria},
      journal = {Ecology and Evolutionary Biology},
      volume = {11},
      number = {3},
      pages = {41-50},
      doi = {10.11648/j.eeb.20261103.11},
      url = {https://doi.org/10.11648/j.eeb.20261103.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eeb.20261103.11},
      abstract = {This study examined the barriers to livelihood diversification and welfare outcomes of artisanal fishing households along Shiroro and Kainji dams, Nigeria and welfare outcomes of artisanal fishing households along Shiroro and Kainji dams. A cross-sectional survey of 300 fishers across 50 villages was conducted, with data analyzed using Exploratory Factor Analysis (EFA) and the Simpson Diversification Index (SDI). Economic constraints high cost of fishing gear (72.0%), limited access to credit (72.7%), and inadequate operating capital (71.0%) were the most severe factors affecting livelihoods. Institutional challenges, including limited extension services (52.7%) and inadequate training (49.0%), alongside environmental stressors such as seasonal water-level fluctuations (36.3%) and climate variability (36.3%), also influenced outcomes. EFA identified Economic Welfare (Factor 1), comprising fishing income (0.82), income from other activities (0.79), and household expenditure (0.75), as the most influential determinant of well-being. Access to services (Factor 2), Food Security (Factor 3), and Asset Ownership (Factor 4) further shaped household welfare. Livelihood diversification was high (SDI = 0.955), dominated by arable farming (59.3%), poultry (50.2%), and livestock (45.9%) and supplemented by petty trading, night guarding, and small-scale processing. The study concludes that diversified livelihoods help households mitigate risks from declining fish stocks and environmental variability. Policy interventions promoting financial inclusion, access to affordable inputs, institutional support, and market development are essential for sustaining welfare and fostering resilient artisanal fisheries.},
     year = {2026}
    }
    

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    T1  - Barriers to Livelihood Diversification and Welfare Outcomes of Artisanal Fishing Households Along Shiroro and Kainji Dams, Nigeria
    AU  - Yohanna John Alhassan
    AU  - Tsukutoda Israel Istifanus
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    JO  - Ecology and Evolutionary Biology
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    AB  - This study examined the barriers to livelihood diversification and welfare outcomes of artisanal fishing households along Shiroro and Kainji dams, Nigeria and welfare outcomes of artisanal fishing households along Shiroro and Kainji dams. A cross-sectional survey of 300 fishers across 50 villages was conducted, with data analyzed using Exploratory Factor Analysis (EFA) and the Simpson Diversification Index (SDI). Economic constraints high cost of fishing gear (72.0%), limited access to credit (72.7%), and inadequate operating capital (71.0%) were the most severe factors affecting livelihoods. Institutional challenges, including limited extension services (52.7%) and inadequate training (49.0%), alongside environmental stressors such as seasonal water-level fluctuations (36.3%) and climate variability (36.3%), also influenced outcomes. EFA identified Economic Welfare (Factor 1), comprising fishing income (0.82), income from other activities (0.79), and household expenditure (0.75), as the most influential determinant of well-being. Access to services (Factor 2), Food Security (Factor 3), and Asset Ownership (Factor 4) further shaped household welfare. Livelihood diversification was high (SDI = 0.955), dominated by arable farming (59.3%), poultry (50.2%), and livestock (45.9%) and supplemented by petty trading, night guarding, and small-scale processing. The study concludes that diversified livelihoods help households mitigate risks from declining fish stocks and environmental variability. Policy interventions promoting financial inclusion, access to affordable inputs, institutional support, and market development are essential for sustaining welfare and fostering resilient artisanal fisheries.
    VL  - 11
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Author Information
  • Department of Agricultural Economics and Extension, Federal University, Wukari, Nigeria

  • Department of Agricultural Economics and Extension, Federal University, Wukari, Nigeria

  • National Bioresearch Development Agency, Federal Ministry of Science and Technology, Abuja, Nigeria

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