The aim of this research is to evaluate and provide new evidence of the influence of regional fiscal policy with government expenditure instruments and tax revenue on economic growth in North Sumatra Province. The data used are quarterly data from 2011: 1 to 2017: 4 sourced from the Central Statistics Agency of North Sumatra Province (CSA). The analytical method used in this study is the error correction model (ECM) method. The findings of this study are that government expenditure (GE) has a positive and significant effect in the short and long term on the economic growth (PDB) of the province of North Sumatra during the study period. While tax revenue (TAX) in the long-run has a positive and significant effect, but in the short term, it has a positive but not significant effect on the economic growth (PDB) of the province of North Sumatra during the study period.

Penelitian ini bertujuan untuk mengetahui dan menganalisis pengaruh tingkat pertumbuhan penduduk, indeks pembangunan manusia, pertumbuhan ekonomi, ketimpangan distribusi pendapatan dan tingkat pengangguran terhadap kemiskinan di Indonesia. Jenis data yang digunakan dalam penelitian ini adalah jenis data kuantitatif dengan data sekunder. Objek dalam penelitian ini adalah seluruh provinsi di Indonesia yang terdiri dari 34 provinsi. Penelitian ini menggunakan data panel, yaitu menggabungkan data time series dan cross section selama 4 tahun yaitu tahun 2016 sampai 2019. Metode analisis data yang digunakan pada penelitian ini adalah metode analisis regresi data panel dengan alat analisis Eviews10. Hasil penelitian berdasarkan metode analisis regresi data panel menunjukkan bahwa tingkat pertumbuhan penduduk, indeks pembangunan manusia, pertumbuhan ekonomi, ketimpangan distribusi pendapatan dan tingkat pengangguran berpengaruh secara simultan terhadap kemiskinan. Secara parsial, tingkat pertumbuhan penduduk berpengaruh positif dan signifikan terhadap kemiskinan, indeks pembangunan manusia berpengaruh negatif dan signifikan terhadap kemiskinan, pertumbuhan ekonomi berpengaruh negatif dan tidak signifikan terhadap kemiskinan, ketimpangan distribusi pendapatan berpengaruh negatif dan tidak signifikan terhadap kemiskinan dan tingkat pengangguran berpengaruh positif dan tidak signifikan terhadap kemiskinan.

The COVID-19 pandemic affected global economic growth, including Indonesia's economic recession for four quarters from Q2 2020 to Q1 2021. This study uses Schumpeter's growth theory to analyze the interest rate policies and innovations that encourage economic growth in Indonesia in the long term. This study uses a quantitative approach with the Auto Regressive Distributed Lag (ARDL) model with the variables of GDP, BI interest rates, consumption, innovation, and investment credit. The study results show that Bank Indonesia's accommodative interest rate policy with low-interest rates during the recession due to the Covid-19 pandemic positively influences economic growth. However, in the long-term, interest rates must compete with interest rates from other countries to encourage investment capital flows to Indonesia. The findings show that innovation has not yet affected economic growth in Indonesia, but economic growth fosters innovation to accelerate technology transfer from developed countries through foreign investment. Therefore, the support of the Government and Bank of Indonesia to provide incentives through tax breaks and low-interest rates to business actors developing R&D and innovation will encourage accelerating technology and innovation growth in Indonesia.

Monetary policy can affect the economy through a variety of channels. Using quarterly secondary data from 2010: 1 to 2020: 2. This paper examines the bank lending channel to provide new evidence and explain the transmission mechanism in Indonesia. The estimation method used is a Vector Error Correction Model (VECM). The result of the VECM analysis shows that the Monetary Policy transmission mechanism through the bank lending channel still has a weak influence on the output. Therefore, from the demand side, it is necessary to seek new market shares for export purposes, also, to maintain existing ones to restore domestic corporate credit demand, and from the supply side, banks must provide easy access for MSMEs to obtain loans while still prioritizing the principle of prudence.

This research aims to investigate whether the relationship between unemployment and inflation in Indonesia is by the Phillips curve theory. This research is quantitative. The estimation method used is ECM Two-Step Engle-Granger. in the long term, it is estimated using Ordinary Least Square (OLS), while in the short term it is estimated using the Error Correction Model (ECM). The cointegration test uses the Engle-Granger cointegration test. The data used are secondary level data, wage rate data as a proxy for inflation, and unemployment rates from 1991-2020 obtained from the world bank. The findings of this study are that in the short term, the unemployment rate is negatively related to inflation but is not significant, meaning that a trade-off between the unemployment rate and inflation occurs but the effect is not significant. In other words, in Indonesia, the relationship between the unemployment rate and inflation follows the Phillips Curve theory, but in the long run, there is a positive relationship between the unemployment rate and inflation but it is not significant.