Effect of Health Status on Labour Productivity in Adamawa State: A Multinomial Logistic Approach

This study examined the effect of health status on labour productivity in Adamawa state, Nigeria. The analysis is based on a sample of 440 observations generated by questionnaire across 10 Local Government Areas (LGAs) in 55 communities. Multinomial logistic regression and descriptive statistics were used to analyze the data. Descriptive statistics revealed that the respondents fall within the age brackets 18-61 years and majority have tertiary education as their highest educational qualification. Monthly income of the respondents falls between 18, 000 – 100, 000 naira. Key finding of logistic regression shows positive effect of health status on worker productivity per hour (WPhour). Specifically, health status has a significantly positive coefficient (0.31) at 5% level of significance. Therefore, 1 unit increase in positive health status positively affects the log odds of those workers who work between 1-6 hours by 31% (outcome 1) compared to the base outcome. This indicates that a positive health status is associated with increased probability of productivity. Therefore, the study concludes that positive health status increases the likelihood of higher worker productivity. Based on this finding, the study therefore recommends that policy makers and stakeholders in the health sector should implement practical measures to encourage access to healthcare services to boost health status of citizens.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-05
DOI
https://doi.org/10.5281/zenodo.13691199
Primary Topic
Neuroinflammation and Neurodegeneration Mechanisms
Type
article
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article

Effect of Health Status on Labour Productivity in Adamawa State: A Multinomial Logistic Approach

Zenodo (CERN European Organization for Nuclear Research)
Neuroinflammation and Neurodegeneration Mechanisms
article

Effect of Health Status on Labour Productivity in Adamawa State: A Multinomial Logistic Approach

article en

Abstract

This study examined the effect of health status on labour productivity in Adamawa state, Nigeria. The analysis is based on a sample of 440 observations generated by questionnaire across 10 Local Government Areas (LGAs) in 55 communities. Multinomial logistic regression and descriptive statistics were used to analyze the data. Descriptive statistics revealed that the respondents fall within the age brackets 18-61 years and majority have tertiary education as their highest educational qualification. Monthly income of the respondents falls between 18, 000 – 100, 000 naira. Key finding of logistic regression shows positive effect of health status on worker productivity per hour (WPhour). Specifically, health status has a significantly positive coefficient (0.31) at 5% level of significance. Therefore, 1 unit increase in positive health status positively affects the log odds of those workers who work between 1-6 hours by 31% (outcome 1) compared to the base outcome. This indicates that a positive health status is associated with increased probability of productivity. Therefore, the study concludes that positive health status increases the likelihood of higher worker productivity. Based on this finding, the study therefore recommends that policy makers and stakeholders in the health sector should implement practical measures to encourage access to healthcare services to boost health status of citizens.

Zenodo (CERN European Organization for Nuclear Research)
Adamawa State University (NG), Federal University Lafia (NG)
Decent work and economic growth
Openalex Percentile: Top 58%
Neuroinflammation and Neurodegeneration Mechanisms
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