ABSTRACT Research Method: Multiple regression model. The method of data collection carried out is the literature method. Results: The effect of GDP, inflation, and exchange rate, then obtained the value of f-count > f-table (16.24765> 3.01 ) with a significant value of 0.000025 < 0.05, the effect of GDP on FDI investment in Indonesia shows an insignificant value with a prob value of > of 0.05 (0.0647 > 0.05) and a t-count value < t-table ( 2,013 < 2,945), the effect of inflation on FDI investment in Indonesia shows a significant value with a prob value < of 0.05 (0.0005 < 0.05) and t-count value < t-table (3,517 > 2,945), the effect of the exchange rate value on FDI in Indonesia shows an insignificant value with a prob value > from 0.05 (0.0659 > 0.05) and and a t-count < t-table (2,016 < 2,945). Conclusion: Showing simultaneously independent variables affecting dependent variables is shown by the f-count value > F-table. Partially, the economic growth variable calculated using GDP in 2000-2019 is positive and has no significant effect on FDI investment in Indonesia; inflation as seen from inflation data for 2000-2019 has a positive and significant effect on FDI investment in Indonesia; the exchange rate seen from the middle rate from 2000-2019 is positive and has no significant effect on FDI investment in Indonesia. Keywords : Economic Growth, Investment, Exchange Rate, Inflation
The purpose of this paper is to determine the effect of economic growth on poverty directly and indirectly through income distribution. This study uses secondary data of time series data obtained from the Central Statistics Agency of Maluku Province, the year that was the sample in this study between 2005 - 2017. The data analysis model used is path analysis, the analysis method used is descriptive analysis followed by classical assumption tests. and goodness of fit, the analysis tools used by the Eviews and IBM Amos. Hypothesis testing uses multiple regression path analysis techniques. The results of the research and discussion show that there is no influence between economic growth on income distribution, on the contrary, there is an influence between employment opportunities and income distribution. So even though there is economic growth, it does not have an impact on income distribution. Furthermore, it turns out that there is no influence between economic growth on poverty. So the economic growth that occurs does not have an impact on reducing poverty. Conversely, there is an influence between employment opportunities and poverty, which means that changes in employment opportunities will affect the level of poverty. The lack of effect on economic growth and employment opportunities through income distribution on poverty proves that in Maluku poverty indicates that poverty in Maluku is more relative poverty. Poverty that is created is not caused by economic growth and employment opportunities that affect income and consequently creates poverty, but rather due to limited access to various public facilities due to the condition of Maluku which is more dominated by the sea.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.