Abstract
This research was purpose to analyze the effect of economic growth, government expenditure, inflation, andunemployment on the level of poverty in Indonesia. This study uses time series data in the form of annual data from 1997-2017 period. The analysis technique in this study uses cointegration approach and Error Correction Model (ECM) and multiple linear regression models. The estimation results show that the variable of economic growth are statistically significant and have a negative effect on the level of poverty in Indonesia. While the variable of government expenditure, inflation and unemployment are not statistically significant in influencing the level of poverty in Indonesia.The results of this study imply that economic growth is a macroeconomic variable that plays a major role in reducing the level of poverty in Indonesia.Keywords: Economic Growth; Government Expenditure; Inflation; Unemployment; Poverty
Highlights
This study implies that economic growth is a macroeconomic variable that plays a significant role in reducing Indonesia's level of poverty
This research aimed to analyze the effect of economic growth
The estimation results show that the variable of economic growth is statistically significant
Summary
Penelitian ini membahas mengenai determinan tingkat kemiskinan di Indonesia. Jenis pada penelitian ini menggunakan penelitian kuantitatif. Data yang digunakan dalam penelitian ini adalah data sekunder dengan jenis data runtun waktu (time series). Variabel yang diselidiki pada studi ini, ialah variabel tingkat kemiskinan yang dilihat dari persentase jumlah penduduk miskin, variabel pertumbuhan ekonomi dilihat berdasarkan perubahan PDB atas dasar harga konstan, variabel pengeluaran pemerintah dilihat melalui belanja pemerintah per satu tahun anggaran, variabel inflasi dilihat atas indeks harga konsumen (IHK), dan variabel pengangguran dilihat lewat angka tingkat pengangguran terbuka (TPT). Teknik analisis dalam penelitian ini menggunakan analisis deskriptif dan analisis kuantitatif. Analisis deskriptif berdasarkan data sekunder, jurnal, artikel, dan hasil-hasil penelitian yang berhubungan dengan permasalahan. Analisis kuantitatif dilakukan dengan menggunakan pendekatan kointegrasi dan Error Correction Model (ECM)
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