American Journal of Theoretical and Applied Statistics

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Modeling Optimal Income and Job Increase on Fishing in the Current Economic Scenario in Angola Until 2050

Received: Sep. 17, 2023    Accepted: Oct. 16, 2023    Published: Oct. 30, 2023
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Abstract

In this paper, forecasts were made and two-stage deterministic optimization models were designed to maximize annual fish sales revenues and increase the number of jobs on fishing in Angola in the current scenario. Starting from historical data from 2016 to 2022, taking their means and standard deviations, normal distributions were generated up to 2050. If these models were adopted, annual income would reach Kz 260,753,942,425.00 as opposed to the current Kz 246,617,594,646.47 produced with the sale of 5 species of crustaceans, 3 of mollusks, 34 of demersal fishes, 6 of pelagic fishes and 5 of freshwater fishing, resulting in an annual increase in income of around 5.73% and 6,514 new jobs and direct self-employment, of which 328 in industrial fishing, 319 in semi-industrial fishing, 3,355 in maritime artisanal fishing and 2,512 in freshwater artisanal fishing. Of these, 5,071 will be for fishermen and 1,443 for women fish processors. The optimal portfolio of fish sales revenue would be 3% for crustaceans, 1% for mollusks, 34% for demersal Fishes, 54% for pelagic fishes and 8% for fish from freshwater fishing. These results would be excellent for the fishing sector to contribute to achieving the employability goals envisaged by the Angolan government in the medium and long term.

DOI 10.11648/j.ajtas.20231205.15
Published in American Journal of Theoretical and Applied Statistics ( Volume 12, Issue 5, September 2023 )
Page(s) 129-149
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

Forecasting, Two-Stage Deterministic Optimization Models, Fish Sales Income, Jobs and Self-Employment in Fishing

References
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[16] Ministério das Pescas e do Mar da República de Angola (2016). Anuário de Estatísticas das Pescas em Angola, Luanda/Angola. Available in https://www.ine.gov.ao/Arquivos/arquivosCarregados//Carregados/Publicacao_637586852612407176.pdf
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[18] Ministério da Agricultura e Pescas da República de Angola (2020). Anuário de Estatísticas das Pescas em Angola, Luanda/Angola. Available in https://www.ine.gov.ao/Arquivos/arquivosCarregados//Carregados/Publicacao_637867472944421600.pdf
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  • APA Style

    Alcides Romualdo Neto Simbo. (2023). Modeling Optimal Income and Job Increase on Fishing in the Current Economic Scenario in Angola Until 2050. American Journal of Theoretical and Applied Statistics, 12(5), 129-149. https://doi.org/10.11648/j.ajtas.20231205.15

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    ACS Style

    Alcides Romualdo Neto Simbo. Modeling Optimal Income and Job Increase on Fishing in the Current Economic Scenario in Angola Until 2050. Am. J. Theor. Appl. Stat. 2023, 12(5), 129-149. doi: 10.11648/j.ajtas.20231205.15

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    AMA Style

    Alcides Romualdo Neto Simbo. Modeling Optimal Income and Job Increase on Fishing in the Current Economic Scenario in Angola Until 2050. Am J Theor Appl Stat. 2023;12(5):129-149. doi: 10.11648/j.ajtas.20231205.15

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  • @article{10.11648/j.ajtas.20231205.15,
      author = {Alcides Romualdo Neto Simbo},
      title = {Modeling Optimal Income and Job Increase on Fishing in the Current Economic Scenario in Angola Until 2050},
      journal = {American Journal of Theoretical and Applied Statistics},
      volume = {12},
      number = {5},
      pages = {129-149},
      doi = {10.11648/j.ajtas.20231205.15},
      url = {https://doi.org/10.11648/j.ajtas.20231205.15},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajtas.20231205.15},
      abstract = {In this paper, forecasts were made and two-stage deterministic optimization models were designed to maximize annual fish sales revenues and increase the number of jobs on fishing in Angola in the current scenario. Starting from historical data from 2016 to 2022, taking their means and standard deviations, normal distributions were generated up to 2050. If these models were adopted, annual income would reach Kz 260,753,942,425.00 as opposed to the current Kz 246,617,594,646.47 produced with the sale of 5 species of crustaceans, 3 of mollusks, 34 of demersal fishes, 6 of pelagic fishes and 5 of freshwater fishing, resulting in an annual increase in income of around 5.73% and 6,514 new jobs and direct self-employment, of which 328 in industrial fishing, 319 in semi-industrial fishing, 3,355 in maritime artisanal fishing and 2,512 in freshwater artisanal fishing. Of these, 5,071 will be for fishermen and 1,443 for women fish processors. The optimal portfolio of fish sales revenue would be 3% for crustaceans, 1% for mollusks, 34% for demersal Fishes, 54% for pelagic fishes and 8% for fish from freshwater fishing. These results would be excellent for the fishing sector to contribute to achieving the employability goals envisaged by the Angolan government in the medium and long term.
    },
     year = {2023}
    }
    

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    AB  - In this paper, forecasts were made and two-stage deterministic optimization models were designed to maximize annual fish sales revenues and increase the number of jobs on fishing in Angola in the current scenario. Starting from historical data from 2016 to 2022, taking their means and standard deviations, normal distributions were generated up to 2050. If these models were adopted, annual income would reach Kz 260,753,942,425.00 as opposed to the current Kz 246,617,594,646.47 produced with the sale of 5 species of crustaceans, 3 of mollusks, 34 of demersal fishes, 6 of pelagic fishes and 5 of freshwater fishing, resulting in an annual increase in income of around 5.73% and 6,514 new jobs and direct self-employment, of which 328 in industrial fishing, 319 in semi-industrial fishing, 3,355 in maritime artisanal fishing and 2,512 in freshwater artisanal fishing. Of these, 5,071 will be for fishermen and 1,443 for women fish processors. The optimal portfolio of fish sales revenue would be 3% for crustaceans, 1% for mollusks, 34% for demersal Fishes, 54% for pelagic fishes and 8% for fish from freshwater fishing. These results would be excellent for the fishing sector to contribute to achieving the employability goals envisaged by the Angolan government in the medium and long term.
    
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Author Information
  • Statistic and Operational Research at Mathematic's Department, The University 11 de Novembro, Cabinda, Angola

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