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Application of Factor Analysis in the Assessment of Solid Waste Management in Bolgatanga Municipality of Ghana

Received: 27 June 2018    Accepted: 9 July 2018    Published: 6 August 2018
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Abstract

The issue of waste management has become a daunting challenge for many countries particularly for developing countries. The adverse effects of waste on human lives and the environment have reached scary levels that call for a thorough assessment of waste management systems across the globe and in particular developing countries. In Bolgatanga municipality of the Upper East Region of Ghana, the situation of waste disposal is appalling exposing residents to all kinds of health related risk. City authorities who have the responsibility of ensuring that the environment is clean and safe for habitation are confronted with the serious burden of managing waste disposal in the municipality. This study therefore sought to examine a set of 18 variables relevant to the topic under investigation and how they relate to influence solid waste management in the municipality from the perspective of residents of the Bolgatanga municipality through the application of Factor Analysis. The object of this approach is to identify a set of indicator variables that amalgamate to form common factors. The opinions of 400 subjects on Solid Waste Management in the municipality were successfully collected through the administration of questionnaires and analyzed. A preliminary analysis of the data showed that the correlation matrix was not an identity matrix and a KMO value of 0.797 described as “middling” was obtained. These provided the necessary and sufficient grounds for the application of Factor Analysis to the data. Further analysis of the data revealed five latent factors which are Institutional Dormancy, Financial Constraint, Infrastructural Lapses, Accessibility and Behavioral Canker as factors that need to be addressed in order to improve the status of Solid Waste Management in Bolgatanga municipality.

Published in Science Journal of Applied Mathematics and Statistics (Volume 6, Issue 3)
DOI 10.11648/j.sjams.20180603.15
Page(s) 99-109
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

Waste Management, Factor Analysis, Institutional Dormancy, Financial Constraint, Infrastructural Lapses, Accessibility and Behavioral Canker

References
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    Edward Akurugu, Abdul-Majeed Issahaku, Abdul-Samed Aliou. (2018). Application of Factor Analysis in the Assessment of Solid Waste Management in Bolgatanga Municipality of Ghana. Science Journal of Applied Mathematics and Statistics, 6(3), 99-109. https://doi.org/10.11648/j.sjams.20180603.15

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    Edward Akurugu; Abdul-Majeed Issahaku; Abdul-Samed Aliou. Application of Factor Analysis in the Assessment of Solid Waste Management in Bolgatanga Municipality of Ghana. Sci. J. Appl. Math. Stat. 2018, 6(3), 99-109. doi: 10.11648/j.sjams.20180603.15

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    AMA Style

    Edward Akurugu, Abdul-Majeed Issahaku, Abdul-Samed Aliou. Application of Factor Analysis in the Assessment of Solid Waste Management in Bolgatanga Municipality of Ghana. Sci J Appl Math Stat. 2018;6(3):99-109. doi: 10.11648/j.sjams.20180603.15

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  • @article{10.11648/j.sjams.20180603.15,
      author = {Edward Akurugu and Abdul-Majeed Issahaku and Abdul-Samed Aliou},
      title = {Application of Factor Analysis in the Assessment of Solid Waste Management in Bolgatanga Municipality of Ghana},
      journal = {Science Journal of Applied Mathematics and Statistics},
      volume = {6},
      number = {3},
      pages = {99-109},
      doi = {10.11648/j.sjams.20180603.15},
      url = {https://doi.org/10.11648/j.sjams.20180603.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20180603.15},
      abstract = {The issue of waste management has become a daunting challenge for many countries particularly for developing countries. The adverse effects of waste on human lives and the environment have reached scary levels that call for a thorough assessment of waste management systems across the globe and in particular developing countries. In Bolgatanga municipality of the Upper East Region of Ghana, the situation of waste disposal is appalling exposing residents to all kinds of health related risk. City authorities who have the responsibility of ensuring that the environment is clean and safe for habitation are confronted with the serious burden of managing waste disposal in the municipality. This study therefore sought to examine a set of 18 variables relevant to the topic under investigation and how they relate to influence solid waste management in the municipality from the perspective of residents of the Bolgatanga municipality through the application of Factor Analysis. The object of this approach is to identify a set of indicator variables that amalgamate to form common factors. The opinions of 400 subjects on Solid Waste Management in the municipality were successfully collected through the administration of questionnaires and analyzed. A preliminary analysis of the data showed that the correlation matrix was not an identity matrix and a KMO value of 0.797 described as “middling” was obtained. These provided the necessary and sufficient grounds for the application of Factor Analysis to the data. Further analysis of the data revealed five latent factors which are Institutional Dormancy, Financial Constraint, Infrastructural Lapses, Accessibility and Behavioral Canker as factors that need to be addressed in order to improve the status of Solid Waste Management in Bolgatanga municipality.},
     year = {2018}
    }
    

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  • TY  - JOUR
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    AU  - Edward Akurugu
    AU  - Abdul-Majeed Issahaku
    AU  - Abdul-Samed Aliou
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    JF  - Science Journal of Applied Mathematics and Statistics
    JO  - Science Journal of Applied Mathematics and Statistics
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    PB  - Science Publishing Group
    SN  - 2376-9513
    UR  - https://doi.org/10.11648/j.sjams.20180603.15
    AB  - The issue of waste management has become a daunting challenge for many countries particularly for developing countries. The adverse effects of waste on human lives and the environment have reached scary levels that call for a thorough assessment of waste management systems across the globe and in particular developing countries. In Bolgatanga municipality of the Upper East Region of Ghana, the situation of waste disposal is appalling exposing residents to all kinds of health related risk. City authorities who have the responsibility of ensuring that the environment is clean and safe for habitation are confronted with the serious burden of managing waste disposal in the municipality. This study therefore sought to examine a set of 18 variables relevant to the topic under investigation and how they relate to influence solid waste management in the municipality from the perspective of residents of the Bolgatanga municipality through the application of Factor Analysis. The object of this approach is to identify a set of indicator variables that amalgamate to form common factors. The opinions of 400 subjects on Solid Waste Management in the municipality were successfully collected through the administration of questionnaires and analyzed. A preliminary analysis of the data showed that the correlation matrix was not an identity matrix and a KMO value of 0.797 described as “middling” was obtained. These provided the necessary and sufficient grounds for the application of Factor Analysis to the data. Further analysis of the data revealed five latent factors which are Institutional Dormancy, Financial Constraint, Infrastructural Lapses, Accessibility and Behavioral Canker as factors that need to be addressed in order to improve the status of Solid Waste Management in Bolgatanga municipality.
    VL  - 6
    IS  - 3
    ER  - 

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Author Information
  • Department of Statistics, Bolgatanga Polytechnic, Bolgatanga, Ghana

  • Department of Statistics, Bolgatanga Polytechnic, Bolgatanga, Ghana

  • Department of Earth Science, University of Ghana, Accra, Ghana

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