Nazer, M
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The Impact of Rastra-BPNT Assistance on Household Food Expenditure Patterns and Poverty Status in Indonesia Fardian, M Iqbal; Nazer, M; Muharja, Fajri
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 1 (March 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i1.794

Abstract

This study uses Susenas March 2019 raw data in a cross-section of 34 provinces and 514 districts/cities in Indonesia with a coverage of 315,672 households, designed using a quasi-experiment on the treatment group and control group after program implementation. The treatment group was formed by beneficiary families while the control group was formed by non-beneficiary families. The sample of beneficiaries was 50,485 or 9,845,922 households if calculated with Susenas weighting (65.55% of the total 2019 realization of 15,020,323 national beneficiaries) and non-beneficiaries were 181,358 households. The data were analyzed using a probit regression model and impact estimation was conducted using the Propensity Score Matching (PSM) approach. The results suggest that education level is a bigger determinant for households to become Rastra-BPNT beneficiaries, especially for household heads who did not finish primary school and those who graduated from primary school. Rastra-BPNT food social assistance has a significant and positively correlated impact on beneficiary families with a pattern of food proportion to total expenditure > 50%. There was a shift in the food consumption budget share for Beneficiary Families in several dominant commodities such as grains; eggs and milk; processed food and beverages; and cigarettes, tobacco and betel. The distribution of Rastra-BPNT from November 2018 to February 2019 can reduce the gap between household groups, but there are still errors in the distribution of benefits.
Analisis Faktor yang Mempengaruhi Ketimpangan Pendapatan: Studi Komparatif Kawasan Indonesia Barat, Timur, Indonesia Lailatussubha, Mutiara; Nazer, M
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1224

Abstract

In 2022, income inequality in Indonesia continued to show significant regional disparities, with Eastern Indonesia recording a Gini ratio of 0.346, higher than that of Western Indonesia at 0.345. This difference indicates that income distribution in the eastern region remains more uneven compared to the western region, highlighting the need for special attention to the underlying factors of inequality in both regions. Income inequality remains a major issue that hinders inclusive and sustainable development, particularly amid economic and social disparities between regions. This study aims to analyze the effects of financial inclusion, economic growth, education, and unemployment on income inequality in Western and Eastern Indonesia during the period 2008–2022. A quantitative approach is employed using the Random Effect Model panel data regression, with data processing conducted using STATA software. The results of the Random Effect Model regression show that in Western Indonesia, financial inclusion and economic growth have a positive and significant effect on income inequality, while education has a negative and significant effect, and unemployment does not have a significant impact. In Eastern Indonesia, education and unemployment have a negative and significant effect on income inequality, financial inclusion has a positive and significant effect, while economic growth does not affect income inequality in the region.
Analisis Faktor yang Mempengaruhi Ketimpangan Pendapatan: Studi Komparatif Kawasan Indonesia Barat, Timur, Indonesia Lailatussubha, Mutiara; Nazer, M
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025): Accepted
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1224

Abstract

In 2022, income inequality in Indonesia continued to show significant regional disparities, with Eastern Indonesia recording a Gini ratio of 0.346, higher than that of Western Indonesia at 0.345. This difference indicates that income distribution in the eastern region remains more uneven compared to the western region, highlighting the need for special attention to the underlying factors of inequality in both regions. Income inequality remains a major issue that hinders inclusive and sustainable development, particularly amid economic and social disparities between regions. This study aims to analyze the effects of financial inclusion, economic growth, education, and unemployment on income inequality in Western and Eastern Indonesia during the period 2008–2022. A quantitative approach is employed using the Random Effect Model panel data regression, with data processing conducted using STATA software. The results of the Random Effect Model regression show that in Western Indonesia, financial inclusion and economic growth have a positive and significant effect on income inequality, while education has a negative and significant effect, and unemployment does not have a significant impact. In Eastern Indonesia, education and unemployment have a negative and significant effect on income inequality, financial inclusion has a positive and significant effect, while economic growth does not affect income inequality in the region.