Measuring mismatch unemployment in the Malaysia
labour market

Said, Rusmawati; Jamaludin, Salwaty; Ismail, Normaz Wana; Nor, Norashidah Mohamed; Chen, Yong

doi:10.1504/ijepee.2020.10031924

Cited by 1 publication

(1 citation statement)

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“…The study emphasizes the need for policymakers to consider targeted measures to support affected workers and sectors to mitigate the negative effects of the pandemic on the labor market. Rahman et al (2020) find that the COVID-19 pandemic has caused a substantial increase in unemployment and a decline in labor force participation in Malaysia. They identify four main factors that contribute to job vulnerability during the pandemic: the nature of the job, industry characteristics, worker demographics, and geographic location.…”

Section: Empirical Reviewmentioning

confidence: 90%

A Study on the Matching Efficiency of Malaysia's Labor Market during the Covid-19 Pandemic using the DEA-Malmquist Productivity Index

Jamaludin,

Abdul Hamid,

Abdul Malek

et al. 2023

IMBR

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This paper analyses the matching efficiency of the Malaysian labor market during the COVID-19 pandemic. Employing Malmquist DEA, the results indicate that from January 2020 to December 2021, the average total factor productivity change is 0.967. TFPCH declined and had an average growth rate of -3.3% during the sample period. Decomposing TFPCH into technical change (TECHCH) and efficiency change (EFFCH), low TECHCH, with an average growth rate of -10.2%, is the main reason why TFPCH is far from the effective frontier. The TFPCH of the mining and quarrying industry is the highest, with an average growth of 18.7%. The TFPCH of both manufacturing and construction industries are the lowest with average annual growths of -1.7% and -7.6% respectively. Overall, it can be concluded that one of the main drivers to enhance the matching efficiency of the labor market is technical change or technological progress. One way is to strengthen online platforms that can help the firm or industry to match job vacancies to job seekers, even during economic shocks.

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Section: Empirical Reviewmentioning

confidence: 90%