The purpose of this study is to examine empirically the effect of government spending on healthcare systems on malaysia’s economic growth during the early stages of the Covid 19 epidemic. Even as society became aware of the potential dangers of Covid 19, there has been a massive effort to rapidly increase capacity in the healthcare system. In Malaysia, in addition to emphasising the importance of strict adherence to the Movement Control Order (MCO), the government announced an immediate increase in funding for healthcare services as part of the initial phase fiscal policy reply to the Covid 19 outbreak. This study employed Dynamic Panel Data, also identified as a longitudinal study, and collected data over a four-month period, from December 2019 to March 2020, in five Asian countries involved with Covid 19. This study discovered that the Dynamic Panel Data System GMM Estimation model is suitable for interpreting the results, indicating that government expenditure on Covid-19 (p-value = 0.036), unemployment rate and inflation rate have a significant relationship with healthcare sector growth of 1%, 2%, and 5%, respectively. In terms of limitations, such a study only focuses on four months of data from selected Asia countries participating in Covid-19. The findings of panel causality recommend that there are bidirectional links between healthcare sector growth and government spending. Empirical findings suggest that fiscal policy reforms are required to channel healthcare industry growth to increased government spending as a result of Malaysia’s fiscal policy.
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12 June 2023
THE 2ND INTERNATIONAL RECENT TRENDS IN ENGINEERING, ADVANCED COMPUTING AND TECHNOLOGY CONFERENCE (RETREAT) 2021
1–3 December 2021
Perth, Australia
Research Article|
June 12 2023
The initial fiscal policy response to Covid-19 in Malaysia: The impact of government spending on healthcare sector using dynamic panel data system GMM estimation analysis
Intan Maizura Abd Rashid;
Intan Maizura Abd Rashid
a)
1
Faculty of Business and Management, Universiti Teknologi MARA Cawangan Melaka
, 78000 Alor Gajah, Melaka, Malaysia
7
Centre of Excellence for Sport Engineering Research Centre (COESERC)
, Perlis, Malaysia
a)Corresponding author: [email protected]
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Wan Ahmad Fauzi Wan Husain;
Wan Ahmad Fauzi Wan Husain
2
Universiti Malaysia Pahang
, Pahang, Malaysia
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Irza Hanie Abu Samah;
Irza Hanie Abu Samah
3
School of Human Resource Development & Psychology, Universiti Teknologi Malaysia
, Skudai, Johor, Malaysia
7
Centre of Excellence for Sport Engineering Research Centre (COESERC)
, Perlis, Malaysia
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Suraiya Ibrahim;
Suraiya Ibrahim
4
Faculty of Applied and Human Sciences, Universiti Malaysia Perlis
, Perlis, Malaysia
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Hariri Hamzah;
Hariri Hamzah
5
Universiti Kuala Lumpur (UniKL)
, Kuala Lumpur, Malaysia
6
ON Semiconductor, Kawasan Perusahaan Senawang
, 70450 Senawang, Negeri Sembilan, Malaysia
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Mohammad Harith Amlus
Mohammad Harith Amlus
4
Faculty of Applied and Human Sciences, Universiti Malaysia Perlis
, Perlis, Malaysia
7
Centre of Excellence for Sport Engineering Research Centre (COESERC)
, Perlis, Malaysia
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a)Corresponding author: [email protected]
AIP Conf. Proc. 2608, 020040 (2023)
Citation
Intan Maizura Abd Rashid, Wan Ahmad Fauzi Wan Husain, Irza Hanie Abu Samah, Suraiya Ibrahim, Hariri Hamzah, Mohammad Harith Amlus; The initial fiscal policy response to Covid-19 in Malaysia: The impact of government spending on healthcare sector using dynamic panel data system GMM estimation analysis. AIP Conf. Proc. 12 June 2023; 2608 (1): 020040. https://doi.org/10.1063/5.0127925
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