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

Alcides Romualdo Neto Simbo

doi:doi:10.11648/j.ajtas.20231205.15

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

Alcides Romualdo Neto Simbo

Published in American Journal of Theoretical and Applied Statistics (Volume 12, Issue 5)

Received: 17 September 2023 Accepted: 16 October 2023 Published: 30 October 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.

Published in	American Journal of Theoretical and Applied Statistics (Volume 12, Issue 5)
DOI	10.11648/j.ajtas.20231205.15
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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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://article.sciencepublishinggroup.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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TY  - JOUR
T1  - Modeling Optimal Income and Job Increase on Fishing in the Current Economic Scenario in Angola Until 2050
AU  - Alcides Romualdo Neto Simbo
Y1  - 2023/10/30
PY  - 2023
N1  - https://doi.org/10.11648/j.ajtas.20231205.15
DO  - 10.11648/j.ajtas.20231205.15
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 129
EP  - 149
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20231205.15
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.

VL  - 12
IS  - 5
ER  -

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Author Information

Alcides Romualdo Neto Simbo

Statistic and Operational Research at Mathematic's Department, The University 11 de Novembro, Cabinda, Angola

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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

Copy | Download

@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://article.sciencepublishinggroup.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}
}

Copy | Download

TY  - JOUR
T1  - Modeling Optimal Income and Job Increase on Fishing in the Current Economic Scenario in Angola Until 2050
AU  - Alcides Romualdo Neto Simbo
Y1  - 2023/10/30
PY  - 2023
N1  - https://doi.org/10.11648/j.ajtas.20231205.15
DO  - 10.11648/j.ajtas.20231205.15
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 129
EP  - 149
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20231205.15
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.

VL  - 12
IS  - 5
ER  -

Copy | Download