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ANALISIS PENGARUH JUMLAH PENDUDUK, INFLASI, DAN NILAI TUKAR TERHADAP PERTUMBUHAN EKONOMI PENDEKATAN VECM Puji Astuti, Chanifah; Prasetyanto, Panji Kusuma
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.v2i6.288

Abstract

Economic growth is a goal that every country wants to achieve. Economic growth in Indonesia is influenced by many factors. This study aims to analyze the effect of the exchange rate, population and inflation on economic growth in Indonesia for the period 1990-2019. The method used in this research is the Vector Error Correction Model (VECM) after it is known that there is cointegration in the VAR model testing. From the research results, it is stated that the Consumer Price Index (CPI) variable has a relationship with Economic Growth in the long term. Then in the short-term relationship, the population variable with the highest R-square value is 0.981823. Meawhile, the results of Variance Decomposition show the effects that occur due to shocks from changes in one variable to other variables occur in various ways.
PENGARUH HARGA TANAMAN PANGAN TERHADAP INFLASI DI KABUPATEN KENDAL Mardiyanto, Ilyas Cahaya; Prasetyanto, Panji Kusuma
TRANSEKONOMIKA: AKUNTANSI, BISNIS DAN KEUANGAN Vol. 3 No. 1 (2023): January 2023
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/transekonomika.v3i1.346

Abstract

This study aims to analyze the effect of food crop prices on inflation in Kendal Regency. The increasing demand for agricultural commodities has resulted in the price of agricultural commodities increasing due to the high demand. The impact arising from the increase in the price of agricultural commodities is an increase in inflation, which causes a decrease in people's purchasing power because prices are increasingly unaffordable. The data used in this study is time series data for the period 2016 to 2022, the data used is secondary data on monthly developments in food crop prices and inflation in Kendal Regency. The tool used in this research is the analysis of the VAR/VECM (Vector Autoregression (VAR) or Vector Error Correction Model (VECM)) model with the help of the Eviews 10 application. The findings show that a number of variables, including the price of garlic, large red chilies, and Red cayenne pepper has a significant effect on inflation in Kendal Regency in the long run. In the short term, several variables such as the price of shallots and red cayenne pepper also have a significant effect on inflation in Kendal Regency.