The Unemployment Rate Amid the COVID-19 Pandemic: Propose the Best Practices Policy to Maintain Labor Market Stability

Malik, Nazaruddin; Suliswanto, Muhammad Sri Wahyudi; Rofik, Mochamad

doi:10.22146/jsp.56450

Cited by 6 publications

(4 citation statements)

References 27 publications

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“…As a consequence, it may be necessary to reevaluate these findings using a clustering approach, as we did in this study, to test the consistency of the results, given that the sample has traditionally been considered homogeneous. Furthermore, the findings in this study also broaden the perspective on the relationship between banking financing, especially Sharia financing, and job creation, which is in line with references [24,[29][30][31][32], who also argue that Sharia financing has a positive impact on reducing unemployment. Consequently, we now have an understanding that Sharia financing not only promotes greater employment opportunities but also reduces the inequality of job creation.…”

Section: Resultssupporting

confidence: 87%

Revisiting the Role of Islamic Bank on SDGs: Sharia Financing, Inequality, and Poverty

Zuhroh,

Malik

2023

J. Hum. Earth Future

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This study aims to reassess the impact of Sharia financing provided by Islamic banks on the advancement of Sustainable Development Goals (SDGs), with a particular focus on reducing inequality and poverty. Given the uneven distribution of Sharia financing among regions in Indonesia, we adopt a clustering approach using the k-means clustering method. This approach considers two critical criteria: the nominal amount of Islamic financing and the proportion of Islamic financing. The clustering process resulted in the creation of two distinct clusters. The Lower cluster comprises regions characterized by a low market share and nominal Sharia financing, while the Upper cluster encompasses regions with a high market share and nominal Sharia financing. We utilized annual data from 33 provinces for the period spanning 2012 to 2020. Through the application of a fixed-effect panel regression with the Generalized Least Squares (GLS) approach, our analysis reveals that in the Upper cluster, the presence of Sharia financing plays a pivotal role in reducing financing inequality, inequality in job opportunities, and notably lowering the poverty rate. In contrast, only nominal Sharia financing appears to contribute to the reduction of poverty, with no discernible impact observed regarding financing inequality and disparities in employment opportunities. Doi: 10.28991/HEF-2023-04-04-05 Full Text: PDF

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Section: Resultssupporting

confidence: 87%

Revisiting the Role of Islamic Bank on SDGs: Sharia Financing, Inequality, and Poverty

Zuhroh,

Malik

2023

J. Hum. Earth Future

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“…The burden of economic vulnerability is disproportionate to employment in pandemic "red zones" [41]. Malik et al [42] expanded another piece of literature on the impact of pandemic shocks on the labor market. The short-term causality shock understands that social costs need to be reduced.…”

Section: -7-covid-19 and Unemploymentmentioning

confidence: 99%

Using Correlation to Explore the Impact of Corona Virus Disease on Socioeconomics

Fitriadi

Jiuhardi²,

Busari³

et al. 2022

Emerg Sci J

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In the 21stcentury, the tragedy of the pandemic shocks the world. This non-natural disaster is called COVID-19. Its dominant effect is also worrying about social and economic conflicts at local, national, and even international levels. The orientation of this research is to investigate the impact of COVID-19 on the socioeconomic aspects in Indonesia from 2020-2022. We set the research using official/secondary publications. Data analysis was interpreted in three formats: Pearson, Kendall’s, and Spearman’s correlations. It channelled empirical testing through Microsoft Excel and SPSS v.25. Social items include migration, mortality, domestic violence, and sexual harassment, while the nine economic items are per capita spending, well-being, unemployment, poverty, and labor productivity. Then, statistical instruments were reviewed based on the correlation coefficient and level of significance (5% for Pearson and 1% for Kendall’s and Spearman’s). The results are not much different between Pearson’s approach, Kendall’s and Spearman’s. In Pearson model, it proved a negative correlation when COVID-19 increases, so migration, unemployment, poverty, and labor productivity decrease. COVID-19 has had a positive impact on mortality, domestic violence, sexual harassment, per capita spending, and well-being. In Kendall’s and Spearman’s tests, poverty and labor productivity have actually increased because of COVID-19. Implementing semi-lockdown is a priority so that the social and macroeconomic constellations continue without ignoring the latent dangers of COVID-19. The limitations of the study are discussed in the future. Doi: 10.28991/esj-2022-SPER-012 Full Text: PDF

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“…Dalam skala yang lebih luas peningkatan pengangguran akan meningkatkan derajat konflik sosial dan dan ketidakstabilan politik (Malik et al, 2021). Menurut laporan BPS pada Bulan Agustus 2020, jumlah mengangguran mencapai 2,56 juta orang.…”

Section: Pendahuluanunclassified

“…Efek yang ditimbulkan karena pandemi COVID-19 adalah banyaknya perusahaan serta sektor industri perjalanan, perhotelan, olahraga, hiburan; sektor perdagangan; sektor finansial; sektor kesehatan; bahkan sektor pendidikan mengalami kerugian hingga menutup usahanya. Kondisi tersebut pada akhirnya berimplikasi pada pengurangan tenaga kerja dan pendapatan pekerja bahkan pemutusan hubungan kerja (PHK) sehingga pengangguran meningkat dan terjadi perlambatan pertumbuhan ekonomi (Dewi et al, 2020;Malik et al, 2021).…”

Section: Pendahuluanunclassified

Pandemi COVID-19 dan Pengangguran di Kabupaten Tangerang

Hardjanto

Novianti²,

Panjaitan³

et al. 2022

JMO

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The economic performance of a country or region can be shown through various macro variables, including unemployment. The labor market is one part of the economic sector affected by the COVID-19 pandemic in addition to the health sector. Tangerang Regency is one of the region in Banten Province which is known as an industrial area and has a relatively large workforce. The purpose of this study is to analyze the effect of the COVID-19 pendemic on the open unemployment rate in Tangerang regency. This research method used are correlation analysis, Granger Causality and binary logistic regression model. Based on the results of the correlation analysis, it can be concluded that the district minimum wage (UMK) and the labor force have a significant and positive relationship with the unemployment rate and has moderate level of correlation, while based on the results of granger causality, it can be conclude that unemployment rate variable has a one way relationship with PDRB, UMK and the labor force. Variables that have a significant effect on reducing working hours during the pandemic are labor experience, experience squared, workings who work as argriculral, forestry, fisheries, operators and machine assembling workers, while the factors tha significantly affect the reduction in wages are labor status (married), age, age squared, profession (as manager, professional technician & assistant, service and sales personal, agricultural worker, forestry, fishery, processing worker, craft, machine operator and assembling, roug worker), essential sector and usage internet for work.

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The Unemployment Rate Amid the COVID-19 Pandemic: Propose the Best Practices Policy to Maintain Labor Market Stability

Cited by 6 publications

References 27 publications

Revisiting the Role of Islamic Bank on SDGs: Sharia Financing, Inequality, and Poverty

Revisiting the Role of Islamic Bank on SDGs: Sharia Financing, Inequality, and Poverty

Using Correlation to Explore the Impact of Corona Virus Disease on Socioeconomics

Pandemi COVID-19 dan Pengangguran di Kabupaten Tangerang

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