Estimating the impact of minimum wages on poverty across ethnic groups in Malaysia

Saari, Mohd Yusof; Rahman, M. Affan Abdul; Nor, Abu Hassan Shaari Md; Habibullah, Muzafar Shah

doi:10.1016/j.econmod.2016.01.028

Cited by 15 publications

(7 citation statements)

References 44 publications

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“…Indian is the only type of ethnicity which shows significance for logistic regression analysis with poverty status based on asset index as dependent variables. Indian households has higher probability to be poor in this study even the poverty incidence are lesser compared to Malay households and as concluded in a study using HIS data by Saari et al (2016) where Indians has greater poverty reduction than Malays. This shows that Indians in Northern States are more prone to poverty.…”

Section: Determinants Of Poverty Incidence Based On Asset Indexsupporting

confidence: 70%

Using asset index to reassess poverty in the Northern States of Malaysia: do the poor stay poor?

Azhar

Mohd

2020

IJSE

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PurposeCurrently, Malaysia uses the Poverty Line Income (PLI) to measure poverty. This is because income measurement is the easiest way to collect data, but in its simplicity, it fails to capture the broader meaning and implications of poverty. Asset index is one of the non-monetary poverty measurements which have been established by researchers but not used in measuring poverty in Malaysia. A household might be poor in income, but assets may prevent them from being trapped in poverty.Design/methodology/approachThis study will reassess the poverty of 302 households in the Northern States of Malaysia using the asset index and also the current state of poverty incidence with change under asset index.FindingsThe results show that households in the Northern States of Malaysia are interpreted as being ‘poorer’ when poverty is measured using assets as opposed to income alone. Besides that, poverty incidence of Malay households, households living in urban area and households with middle-aged heads have high poverty incidence, while households with a head of households that is single and highly educated have low poverty incidence. The logistic regression analysis shows that the determinants of poverty incidence based on the asset index are Indian, Penang and Perak State, the age of the head of household, distance to the education centre from home.Originality/valueThis study shows the asset index measurement which have not been done in Malaysia. This will contribute to the improvement of poverty measurement of the country.

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Section: Determinants Of Poverty Incidence Based On Asset Indexsupporting

confidence: 70%

Using asset index to reassess poverty in the Northern States of Malaysia: do the poor stay poor?

Azhar

Mohd

2020

IJSE

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“…2015) and other "exogenous" data, which is, in our case, the LOE data. However, the application of the 2015 input-output table is reasonable because the structures of production, particularly input coefficients are fairly stable despite the adjustment in values that take place gradually (see Saari et al 2014;Saari et al 2016).…”

Section: Data Requirementsmentioning

confidence: 99%

The Economic Impact of Workforce Disruptions on The Output During COVID-19 Pandemic

2022

JEM

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This paper examines the economic impact of workforce disruptions on the output, final demand and Gross DomesticProduct by applying an extended input-output (I-O) model. In the extended I-O model, workforce disruptions are measured and modelled in two perspectives: loss of employment (LOE) and inter-industry disruptions that limit the number of workers in the production. Results show that the inter-industry disruption / supply shock is likely to give a tremendous impact compared to the LOE. Moreover, the level of economic impact is also influenced by the level of economic integration among sectors. In this regard, the more integrated a sector with the high-risk sectors, the more impacted the sector is. In conclusion, the results suggest the need for balancing the economic and health risks to ensure that the welfare of people is protected.

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“…Given this background, this study examined the effect of tourist expenditure on the wages and income distribution of urban and rural labor and households in Malaysia. Previous studies such as those by Saari et al (2015), Harun et al (2012a) and Saari et al (2016) also examined the disparities in income distribution by ethnic groups and in the rural-urban divide, through using the SAM method, however, these studies did not address the tourism sector per se.…”

Section: Literature Reviewmentioning

confidence: 99%

The Effect of Tourism Expenditure on the Economy: A New Evidence

2021

JEM

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Estimating the impact of minimum wages on poverty across ethnic groups in Malaysia

Cited by 15 publications

References 44 publications

Using asset index to reassess poverty in the Northern States of Malaysia: do the poor stay poor?

Using asset index to reassess poverty in the Northern States of Malaysia: do the poor stay poor?

The Economic Impact of Workforce Disruptions on The Output During COVID-19 Pandemic

The Effect of Tourism Expenditure on the Economy: A New Evidence

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