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Digital Technology Development and Income Inequality in Indonesia: Using System GMM Model Sugeng Setyadi; Lili Indriyani; Rizal syaifudin
EKO-REGIONAL Vol 18, No 1 (2023)
Publisher : Jurusan Ilmu Ekonomi dan Studi Pembangunan Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/1.erjpe.2023.18.1.3326

Abstract

This study aimed to analyze the importance of information and communication technology (ICT) for economic development. ICT development has been widely studied and well understood, but its impact on income inequality is less well documented. Therefore, this study used a panel data set in 34 provinces in Indonesia during 2013-2020 to examine the impact of ICT development on income inequality. The econometric Generalized Method of Moments (GMM) with the estimation model of the System GMM showed that higher ICT development (Information and Communication Technology Development Index) reduces income inequality (Gini Ratio). This implies that ICT development does not contribute to exacerbating income inequality. However, it could play a role in mitigating and reducing income inequality in Indonesia. Socio-economic and political factors are also important in reducing income inequality. Therefore, redistribution policies and government spending are crucial to reducing income inequality due to ICT development. These policies must be adapted to the needs of each region for ICT development.Keywords: ICT Development, Income Inequality, Socio-Economic and Political Factors, GMM Model.
Analysis of Factors Affecting Indonesian Government Debt Eva Latifah; Harahap, Muhammad Nasim; Hady Sutjipto; Togi Haidat Mangara; Rizal Syaifudin
Jurnal Ilmu Manajemen dan Ekonomika Vol. 17 No. 1 (2024): Jurnal Ilmu Manajemen dan Ekonomika, Vol. 17, No.1, December 2024
Publisher : Indonesia Banking School

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35384/jime.v17i1.603

Abstract

This study aims to determine the effect of Gross Domestic Product, New Debt Withdrawal, Exchange Rate, Inflation and Foreign Exchage Reserves on Indonesian Government Debt in 1988-2022. The analysis technique used time series data regression analysis with the Error Correction Model (ECM) method processed using Eviews 10. The result of the study partially show that GDP has a negative and significant effect on government debt in the long term and has no significant effect in the short term, New debt withdrawal has a positive and significant effect in the long term and short term, Exchange rate has a positive and significant effect in the long term and short term, inflation has a negative and significant effect in the long term and short term, and Foreign Exchange Reserves have a positive and significant effect in the long term and short term. Simultaneously, the variables GDP, New debt withdrawal, Exchange rate, Inflation and Foreign Exchage Reserves affect Indonesian Government Debt in 1988-2022.