International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12
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 Volume 7, Issue 10 (October 2020), Pages: 12-19

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 Original Research Paper

 Title: Using logistic regression to identify the factors affecting child labor in Red Sea State

 Author(s): Ahmed Saied Rahama Abdallah *

 Affiliation(s):

 College of Business Administration, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

  Full Text - PDF          XML

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0002-4886-7899

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2020.10.002

 Abstract:

Sudan, like many countries, suffers from the prevalence of child labor due to the economic conditions it is undergoing in its various states. The study aims to identify the factors affecting child labor in the Red Sea State (Sudan). The study adopted a descriptive-analytical approach and multiple logistic regression. Because of the lack of data and information about child labor in Sudan, the study depended on a questionnaire as a tool for data collection. The study focused on the children in the age group (7-15) years. The sample type was the purposive sample, and the size of the sample was (133) children. Data analyzed using Statistical Package for Solution Services (SPSS). The multiple logistic regression model applied to investigate the relationship between the dependent variable (child labor) and the explanatory variables. The results explained that both males and females entered the labor market, but the number of males who entered the labor market was more than females. Also, the study found that explanatory variables such as age, education of mother, marital status of parents, and the number of family members had significant effects on child labor at a 5% level of significance. However, gender, father job, and parents’ encouragement were found to be statistically insignificant. The study recommended that a good database system must be provided and organize accurate information about child labor in ordered to help policymakers and researchers, and children's education, which may contribute to protecting children from the labor market, must be compulsory. 

 © 2020 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Logistic, Regression, Factors, Child labor

 Article History: Received 6 March 2020, Received in revised form 8 June 2020, Accepted 10 June 2020

 Acknowledgment:

This publication was supported by Deanship of Scientific Research, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia. My special thanks for their encouragement and support in this effort.

 Compliance with ethical standards

 Conflict of interest: The authors declare that they have no conflict of interest.

 Citation:

 Abdallah ASR (2020). Using logistic regression to identify the factors affecting child labor in Red Sea State. International Journal of Advanced and Applied Sciences, 7(10): 12-19

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