IMPACT OF PRODUCTIVITY, CORRUPTION, AND GROWTH ON DEBT: EVIDENCE FROM PANEL DATA ANALYSIS
In a number of nations, the economic uncertainty that began several years ago has manifested its negative effects, and the COVID-19 crisis has exacerbated the situation. Many nations struggle to finance their social and economic public healthcare due to limited resources and fiscal space. In order...
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Format: | Article |
Language: | English |
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UUM Press
2024-01-01
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Series: | International Journal of Management Studies |
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Online Access: | https://e-journal.uum.edu.my/index.php/ijms/article/view/12502 |
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author | Vikniswari Vija Kumaran Yogambigai Rajamoorthy |
author_facet | Vikniswari Vija Kumaran Yogambigai Rajamoorthy |
author_sort | Vikniswari Vija Kumaran |
collection | DOAJ |
description |
In a number of nations, the economic uncertainty that began several years ago has manifested its negative effects, and the COVID-19 crisis has exacerbated the situation. Many nations struggle to finance their social and economic public healthcare due to limited resources and fiscal space. In order to save their economies, this has pushed them towards high levels of debt. This study’s objective is to examine the effect of government debt on productivity, GDP growth, tax revenue, and corruption. Panel data analysis was used to identify the significant factors that affect government debt in 16 Western European countries based on their severe subprime crisis in 2008 and sovereign debt in 2009, which fall between the timeframes of this study. The findings revealed that government debt impacts productivity, GDP growth, and corruption. As a result, effective productivity control is critical when dealing with government debt. Efforts to develop world-class human capital, equipped with sophisticated skills or talent management, in order to increase a sector’s income and competitiveness should be aligned with efficient and effective public spending. Public projects must be thoroughly evaluated and monitored in terms of feasibility, economic and social returns. As a consequence, this study suggests that a profound and comprehensive reformation across various sectors in the country is required, particularly through productivity, growth, and corruption, in order to control a country’s debt.
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first_indexed | 2024-03-08T05:11:11Z |
format | Article |
id | doaj.art-766cb9baab3149668f673d7ced4dce97 |
institution | Directory Open Access Journal |
issn | 2232-1608 2180-2467 |
language | English |
last_indexed | 2024-03-08T05:11:11Z |
publishDate | 2024-01-01 |
publisher | UUM Press |
record_format | Article |
series | International Journal of Management Studies |
spelling | doaj.art-766cb9baab3149668f673d7ced4dce972024-02-07T08:14:09ZengUUM PressInternational Journal of Management Studies2232-16082180-24672024-01-0131110.32890/ijms2024.31.1.4IMPACT OF PRODUCTIVITY, CORRUPTION, AND GROWTH ON DEBT: EVIDENCE FROM PANEL DATA ANALYSISVikniswari Vija Kumaran0Yogambigai Rajamoorthy1Faculty of Business and Finance, Universiti Tunku Abdul Rahman, Malaysia & Department of Economics, Faculty of Economic and Business Universitas Airlangga, IndonesiaFaculty of Accountancy and Management, Universiti Tunku Abdul Rahman, Malaysia In a number of nations, the economic uncertainty that began several years ago has manifested its negative effects, and the COVID-19 crisis has exacerbated the situation. Many nations struggle to finance their social and economic public healthcare due to limited resources and fiscal space. In order to save their economies, this has pushed them towards high levels of debt. This study’s objective is to examine the effect of government debt on productivity, GDP growth, tax revenue, and corruption. Panel data analysis was used to identify the significant factors that affect government debt in 16 Western European countries based on their severe subprime crisis in 2008 and sovereign debt in 2009, which fall between the timeframes of this study. The findings revealed that government debt impacts productivity, GDP growth, and corruption. As a result, effective productivity control is critical when dealing with government debt. Efforts to develop world-class human capital, equipped with sophisticated skills or talent management, in order to increase a sector’s income and competitiveness should be aligned with efficient and effective public spending. Public projects must be thoroughly evaluated and monitored in terms of feasibility, economic and social returns. As a consequence, this study suggests that a profound and comprehensive reformation across various sectors in the country is required, particularly through productivity, growth, and corruption, in order to control a country’s debt. https://e-journal.uum.edu.my/index.php/ijms/article/view/12502government debtproductivityeconomic growthcorruptionWest European countries |
spellingShingle | Vikniswari Vija Kumaran Yogambigai Rajamoorthy IMPACT OF PRODUCTIVITY, CORRUPTION, AND GROWTH ON DEBT: EVIDENCE FROM PANEL DATA ANALYSIS International Journal of Management Studies government debt productivity economic growth corruption West European countries |
title | IMPACT OF PRODUCTIVITY, CORRUPTION, AND GROWTH ON DEBT: EVIDENCE FROM PANEL DATA ANALYSIS |
title_full | IMPACT OF PRODUCTIVITY, CORRUPTION, AND GROWTH ON DEBT: EVIDENCE FROM PANEL DATA ANALYSIS |
title_fullStr | IMPACT OF PRODUCTIVITY, CORRUPTION, AND GROWTH ON DEBT: EVIDENCE FROM PANEL DATA ANALYSIS |
title_full_unstemmed | IMPACT OF PRODUCTIVITY, CORRUPTION, AND GROWTH ON DEBT: EVIDENCE FROM PANEL DATA ANALYSIS |
title_short | IMPACT OF PRODUCTIVITY, CORRUPTION, AND GROWTH ON DEBT: EVIDENCE FROM PANEL DATA ANALYSIS |
title_sort | impact of productivity corruption and growth on debt evidence from panel data analysis |
topic | government debt productivity economic growth corruption West European countries |
url | https://e-journal.uum.edu.my/index.php/ijms/article/view/12502 |
work_keys_str_mv | AT vikniswarivijakumaran impactofproductivitycorruptionandgrowthondebtevidencefrompaneldataanalysis AT yogambigairajamoorthy impactofproductivitycorruptionandgrowthondebtevidencefrompaneldataanalysis |