Labor Market Segmentation and Gender Inequality in Cameroon

Ningaye Paul; Talla Fokam Dieu Ne Dort

doi:doi:10.11648/j.ijber.20140302.16

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Labor Market Segmentation and Gender Inequality in Cameroon

Ningaye Paul, Talla Fokam Dieu Ne Dort

Received: 3 April 2014 Accepted: 16 April 2014 Published: 30 April 2014

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Abstract

This research seeks to propose ways to reduce gender inequality in the labor market in Cameroon. It uses the dynamic cloud classification to identify different segments of the labor market, the decomposition method of Oaxaca and Blinder to quantify the gender discrimination and to highlight the factors which provoke such discrimination. The results show that the Cameroonian labor market has three segments. The segment with the highest gender inequality is the informal agricultural sector, followed by the non-agricultural informal sector, and finally the formal sector. Our results also show that if we want a greater reduction of gender inequality, we must encourage women's access to secondary and higher education, encourage women's access to vocational training, and increase their number of years of professional experience.

DOI	10.11648/j.ijber.20140302.16
Published in	International Journal of Business and Economics Research (Volume 3, Issue 2, April 2014)
Page(s)	89-98
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

Segmentation, Labor Market, Gender Inequality

References

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APA Style

Ningaye Paul, Talla Fokam Dieu Ne Dort. (2014). Labor Market Segmentation and Gender Inequality in Cameroon. International Journal of Business and Economics Research, 3(2), 89-98. https://doi.org/10.11648/j.ijber.20140302.16

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ACS Style

Ningaye Paul; Talla Fokam Dieu Ne Dort. Labor Market Segmentation and Gender Inequality in Cameroon. Int. J. Bus. Econ. Res. 2014, 3(2), 89-98. doi: 10.11648/j.ijber.20140302.16

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AMA Style

Ningaye Paul, Talla Fokam Dieu Ne Dort. Labor Market Segmentation and Gender Inequality in Cameroon. Int J Bus Econ Res. 2014;3(2):89-98. doi: 10.11648/j.ijber.20140302.16

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@article{10.11648/j.ijber.20140302.16,
  author = {Ningaye Paul and Talla Fokam Dieu Ne Dort},
  title = {Labor Market Segmentation and Gender Inequality in Cameroon},
  journal = {International Journal of Business and Economics Research},
  volume = {3},
  number = {2},
  pages = {89-98},
  doi = {10.11648/j.ijber.20140302.16},
  url = {https://doi.org/10.11648/j.ijber.20140302.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20140302.16},
  abstract = {This research seeks to propose ways to reduce gender inequality in the labor market in Cameroon. It uses the dynamic cloud classification to identify different segments of the labor market, the decomposition method of Oaxaca and Blinder to quantify the gender discrimination and to highlight the factors which provoke such discrimination. The results show that the Cameroonian labor market has three segments. The segment with the highest gender inequality is the informal agricultural sector, followed by the non-agricultural informal sector, and finally the formal sector. Our results also show that if we want a greater reduction of gender inequality, we must encourage women's access to secondary and higher education, encourage women's access to vocational training, and increase their number of years of professional experience.},
 year = {2014}
}

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TY  - JOUR
T1  - Labor Market Segmentation and Gender Inequality in Cameroon
AU  - Ningaye Paul
AU  - Talla Fokam Dieu Ne Dort
Y1  - 2014/04/30
PY  - 2014
N1  - https://doi.org/10.11648/j.ijber.20140302.16
DO  - 10.11648/j.ijber.20140302.16
T2  - International Journal of Business and Economics Research
JF  - International Journal of Business and Economics Research
JO  - International Journal of Business and Economics Research
SP  - 89
EP  - 98
PB  - Science Publishing Group
SN  - 2328-756X
UR  - https://doi.org/10.11648/j.ijber.20140302.16
AB  - This research seeks to propose ways to reduce gender inequality in the labor market in Cameroon. It uses the dynamic cloud classification to identify different segments of the labor market, the decomposition method of Oaxaca and Blinder to quantify the gender discrimination and to highlight the factors which provoke such discrimination. The results show that the Cameroonian labor market has three segments. The segment with the highest gender inequality is the informal agricultural sector, followed by the non-agricultural informal sector, and finally the formal sector. Our results also show that if we want a greater reduction of gender inequality, we must encourage women's access to secondary and higher education, encourage women's access to vocational training, and increase their number of years of professional experience.
VL  - 3
IS  - 2
ER  -

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Author Information

Ningaye Paul

Faculty of Economics and Management, University of Dschang, Cameroon
Talla Fokam Dieu Ne Dort

Faculty of Economics and Management, University of Dschang, Cameroon

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APA Style

Ningaye Paul, Talla Fokam Dieu Ne Dort. (2014). Labor Market Segmentation and Gender Inequality in Cameroon. International Journal of Business and Economics Research, 3(2), 89-98. https://doi.org/10.11648/j.ijber.20140302.16

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ACS Style

Ningaye Paul; Talla Fokam Dieu Ne Dort. Labor Market Segmentation and Gender Inequality in Cameroon. Int. J. Bus. Econ. Res. 2014, 3(2), 89-98. doi: 10.11648/j.ijber.20140302.16

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AMA Style

Ningaye Paul, Talla Fokam Dieu Ne Dort. Labor Market Segmentation and Gender Inequality in Cameroon. Int J Bus Econ Res. 2014;3(2):89-98. doi: 10.11648/j.ijber.20140302.16

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@article{10.11648/j.ijber.20140302.16,
  author = {Ningaye Paul and Talla Fokam Dieu Ne Dort},
  title = {Labor Market Segmentation and Gender Inequality in Cameroon},
  journal = {International Journal of Business and Economics Research},
  volume = {3},
  number = {2},
  pages = {89-98},
  doi = {10.11648/j.ijber.20140302.16},
  url = {https://doi.org/10.11648/j.ijber.20140302.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20140302.16},
  abstract = {This research seeks to propose ways to reduce gender inequality in the labor market in Cameroon. It uses the dynamic cloud classification to identify different segments of the labor market, the decomposition method of Oaxaca and Blinder to quantify the gender discrimination and to highlight the factors which provoke such discrimination. The results show that the Cameroonian labor market has three segments. The segment with the highest gender inequality is the informal agricultural sector, followed by the non-agricultural informal sector, and finally the formal sector. Our results also show that if we want a greater reduction of gender inequality, we must encourage women's access to secondary and higher education, encourage women's access to vocational training, and increase their number of years of professional experience.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Labor Market Segmentation and Gender Inequality in Cameroon
AU  - Ningaye Paul
AU  - Talla Fokam Dieu Ne Dort
Y1  - 2014/04/30
PY  - 2014
N1  - https://doi.org/10.11648/j.ijber.20140302.16
DO  - 10.11648/j.ijber.20140302.16
T2  - International Journal of Business and Economics Research
JF  - International Journal of Business and Economics Research
JO  - International Journal of Business and Economics Research
SP  - 89
EP  - 98
PB  - Science Publishing Group
SN  - 2328-756X
UR  - https://doi.org/10.11648/j.ijber.20140302.16
AB  - This research seeks to propose ways to reduce gender inequality in the labor market in Cameroon. It uses the dynamic cloud classification to identify different segments of the labor market, the decomposition method of Oaxaca and Blinder to quantify the gender discrimination and to highlight the factors which provoke such discrimination. The results show that the Cameroonian labor market has three segments. The segment with the highest gender inequality is the informal agricultural sector, followed by the non-agricultural informal sector, and finally the formal sector. Our results also show that if we want a greater reduction of gender inequality, we must encourage women's access to secondary and higher education, encourage women's access to vocational training, and increase their number of years of professional experience.
VL  - 3
IS  - 2
ER  -

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