The Analysis of Economic Growth, Unemployment Rate and Inflation on Poverty Levels in Indonesia (Using the Vector Error Correction Model (VECM) Method)

Faisal, Muhammad; Ichsan, Ichsan

doi:10.29103/jmpe.v3i2.3210

Cited by 2 publications

(2 citation statements)

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“…Uji berikutnya adalah uji kointegrasi. Uji kointegrasi diinterpretasikan sebagai hubungan keseimbangan jangka panjang diantara variabel (Faisal & Ichsan, 2020). Apabila: Uji trace > nilai kritis pada saat α, atau p value < nilai signifikansi α maka terdapat persamaan kointegrasi.…”

Section: Metodeunclassified

Analisis Hubungan Pertumbuhan Ekonomi, Angkatan Kerja dan Inflasi di Indonesia: Pendekatan Vector Error Correction Model (VECM)

Sari

Winarni²,

Amali³

2023

Ekonomis

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The purpose of this research is to analyze the causality and long-term relationship between economic growth, labor force and inflation in Indonesia. This study uses secondary data obtained from the World Bank in the form of annual data with a quantitative descriptive approach using the Vector Error Correction Model (VECM). The results of the study showed that there was no causal relationship between the labor force and economic growth and there was no causal relationship between inflation and economic growth, but there was a one-way relationship between labour force and inflation, namely inflation affects the labor force. In the short term, there was none of the variable had a significant effect on economic growth. The labor force had a positive and insignificant impact on economic growth during 2000-2021 in the short term, while inflation had a negative and insignificant impact on economic growth in 2000-2021 in the short term, but in the long term inflation had a positive and significant impact.

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Section: Metodeunclassified

Analisis Hubungan Pertumbuhan Ekonomi, Angkatan Kerja dan Inflasi di Indonesia: Pendekatan Vector Error Correction Model (VECM)

Sari

Winarni²,

Amali³

2023

Ekonomis

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“…Dengan demikian, variabel PDRB tidak berpengaruh terhadap kemiskinan di Provinsi Banten. Temuan ini sejalan dengan penelitian Muloka et al (2012), Pananrangi (2012), Barika (2013), Asawidya (2015), Zuhdiyati et al (2017), Pangiuk (2018), Prasetyoningrum & Sukmawati (2018), Purnomo & Istiqomah (2019), Faisal (2020), , Mufidah et al (2022), dan Arwani et al (2023).…”

Section: Pertumbuhan Ekonomi Dalam Mempengaruhi Kemiskinanunclassified

Mengupas Kemiskinan di Provinsi Banten: Bagaimanakah Peran Faktor Kependudukan dan Ekonomi?

Dewi

2023

ECO

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This study aims to analyze the simultaneous and partial effects of population and economic factors on poverty in Banten Province for the 2011-2019 period. Population factors include population growth rate, population density, and sex ratio. Meanwhile, economic factors cover the open unemployment rate, HDI, and GRDP. With secondary data from the publication page of Statistics Indonesia in Banten Province, this research was conducted using a descriptive quantitative approach. To analyze the data, the study used panel data regression analysis. The econometric model was estimated using the Ridge Regression model to overcome the multicollinearity problem between variables in the study. The statistical test results showed that the variables of population growth rate, open unemployment rate, sex ratio, human development index, and GRDP were reported to simultaneously and significantly affect poverty in Banten Province during 2011-2019. Partially, several variables, such as population growth rate, open unemployment rate, and HDI each had a significant negative effect on poverty. Interestingly, other variables, like the sex ratio, had a significant positive effect on poverty. The variables of population density and Gross Regional Domestic Product (GRDP) did not affect poverty. This study indicated that to reduce poverty, the Banten Provincial government should focus on improving the quality of human resources. They should improve health, education, skills, and expertise. Thus, people can have the competence to compete and obtain better jobs, which in turn can increase their income and welfare. In this way, they are expected to get out of the poverty cycle.

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The Analysis of Economic Growth, Unemployment Rate and Inflation on Poverty Levels in Indonesia (Using the Vector Error Correction Model (VECM) Method)

Cited by 2 publications

References 0 publications

Analisis Hubungan Pertumbuhan Ekonomi, Angkatan Kerja dan Inflasi di Indonesia: Pendekatan Vector Error Correction Model (VECM)

Analisis Hubungan Pertumbuhan Ekonomi, Angkatan Kerja dan Inflasi di Indonesia: Pendekatan Vector Error Correction Model (VECM)

Mengupas Kemiskinan di Provinsi Banten: Bagaimanakah Peran Faktor Kependudukan dan Ekonomi?

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