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Volume 9 Issue 4 2023 Article 5 Abstract available

Unemployment, Unskilled Workers, Wage Inequality, and Per Capita Income: An Analysis of Service Sector in Pakistan

Tahira Kanwal, Prof. Dr. Abdul Ghafoor Awan

Published in
Volume 9, Issue 4
Year
2023
Pages
678–720

Abstract

The purpose of this study is to investigate in the relationship between wage inequality, unskilled workers, inflation, foreign direct investment and low per capita income of workers in services sector. The author utilized time series secondary data of 20 years to examine empirical relationship between dependent variable, per capita income, and independent variables such as foreign direct investment (FDI), inflation, unemployment, population growth and wages. Different statistical tools such as ADF Test, Correlation matrix, ARDL Model, Error Correction Model, Granger causality and Ramsey Reset test were employed to analyze these relationships. The empirical findings reveal that FDI has positive association with dependent variable, per capita income, while population growth unemployment and wages have negative relationship with it. The study suggests that the Government of Pakistan should boost FDI, control population growth, inflation, wage rate and reduces unemployment to improve per capita income of workers in service sector.

Abstract reproduced from the published article. The full text is available as an open-access PDF.

Published in

Vol 9 - No. 4 (Oct - Dec, 2023)

Volume 9, Issue 4 · 5 articles · published 2023

Cite this article

Tahira Kanwal, Prof. Dr. Abdul Ghafoor Awan (2023). Unemployment, Unskilled Workers, Wage Inequality, and Per Capita Income: An Analysis of Service Sector in Pakistan. Global Journal of Management, Social Sciences and Humanities, 9(4), 678-720. https://gjmsweb.com/article/unemployment-unskilled-workers-wage-inequality-and-per-capita-income-an-analysis-a808322.html

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