Claim Missing Document
Check
Articles

PENGARUH JUMLAH PENDUDUK, UMR, DAN TPT TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA Isna Aprilya; Whinarko Juliprijanto
TRANSEKONOMIKA: AKUNTANSI, BISNIS DAN KEUANGAN Vol. 2 No. 5 (2022): September 2022
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/transekonomika.v2i5.238

Abstract

This study discusses the analysis of the Influence of Population, UMR, and TPT that affect Economic Growth in Indonesia in 1990-2020. The data used are time series data sourced from the World Bank and BPS in this study the method used is ECM (Error Correction Model). Before performing the ECM test, the data must be tested for stationarity and cointegration, then after managing the data using the ECM method, the Classic Assumption Test consists of: Multicollinearity Test, Heteroscedasticity Test, Autocorrelation Test, and Normality Test. The results of this study indicate that the regional minimum wage and open unemployment have a significant effect on economic growth in Indonesia in the short and long term. While the population has no significant effect on population growth.
PENGARUH PENGELUARAN PEMERINTAH SEKTOR PUBLIK TERHADAP PERTUMBUHAN EKONOMI INDONESIA Putri Setyawati Wahyuningrum; Whinarko Juliprijanto
TRANSEKONOMIKA: AKUNTANSI, BISNIS DAN KEUANGAN Vol. 2 No. 6 (2022): November 2022
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/transekonomika.v2i6.270

Abstract

This research examines the effect of government expenditure on education, health, infrastructure, agriculture, and transportation on economic development in Indonesia between 1981 and 2020. This research uses yearly data (time series) taken from the Revenue and Expenditure Budget of the Indonesian Ministry of Finance. State Budget (APBN) and World Bank funds. Error Correction Model (ECM) is used to identify the long-term and short-term correlations between each variable in the data analysis approach. According to the findings of the study, there are no significant variables affecting economic growth over the short term; however, over the long term, government spending on the education sector has a positive and significant effect on economic growth, whereas government spending on the infrastructure sector has a negative and significant effect on economic growth. In the meantime, the factors that decide how much the government spends on sectors such as education, health, infrastructure, agriculture, and transportation have a major effect on the pace of long- and short-term economic growth.