Mohammad Harith Amlus
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Preferred name
Mohammad Harith Amlus
Official Name
Mohammad Harith , Amlus
Alternative Name
Harith Amlus, M.
Bin Amlus, Mohammad Harith
Amlus, M. H.
Amlus, H. M.
Amlus, Mohd Harith
Main Affiliation
Scopus Author ID
56347448400
Researcher ID
CCT-9820-2022

Research Output
Now showing 1 - 2 of 2
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Publication

A simultaneous equation model of FDI in tourism, tourism growth and poverty: development of model specification

2020-04-01 , Intan Maizura Abd Rashid , Irza Hanie Abu Samah , Mohammad Harith Amlus

Foreign direct investment (FDI) inflows are used to address the economic problems, such as poverty and tourism growth. This paper has identified, after visualizing theoretical standpoints and empirical researches, that there is the linkage between FDI inflows and poverty-GDP nexus focusing on tourism sector. Contrasting with previous studies, this study not only observed the degree of the association between FDI in tourism sector (FDIT) and poverty (POV) but also investigated the relationship between FDIT and tourism growth (TG). While the amount of literature on FDIT, TG and POV using panel data and for singular countries has increased in the last few years, no research has identified the relationships among FDIT, TG and POV together using a growth framework and a simultaneous equation model. The end discussions show that FDIT has bidirectional causal relationships with TG and POV. Therefore, reviewing this chapter it gets confirmed that the research gap prevails in this particular area, that is, neither do a research conducted for evaluation of FDI inflows in tourism impact on poverty and GDP. Thus, in the light of suggestion of theories and empirical literature, this chapter paves the ground of building up a conceptual framework that is to describe the directions in recognizing how FDI inflows in tourism can reduce poverty and stimulate the economic growth and tourism growth.

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Publication

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

2023 , Intan Maizura Abd Rashid , Wan Ahmad Fauzi Wan Husain , Irza Hanie Abu Samah , Suraiya Ibrahim , Hariri Hamzah , Mohammad Harith Amlus

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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