This study intends to look at the causality relationship between stunting, economic growth, and poverty in Indonesia. the type of data used is secondary data in the form of panel data from 2011 to 2018. Analysis of the data used is descriptive analysis and inductive analysis. In inductive analysis there are several tests, namely (1) Root Root Test (Unit Root Test), (2) Cointegration Test, (3) Optimum Lag Test, (4) Granger Causality Test, (5) Stability Test, (6) Impulse Response Finction Test, (7) Variance Decomposition Test. The results of this study show that: (1) There is a significant relationship exists between stunting and economic growth. (2) There is no significant relationship between economic growth and poverty. (3) there is a significant relationship between poverty and stunting in Indonesia.
This study aims to determine the effect simultaneously or partially between tax, investment (PMDN) and labor towards economic growth in Indonesia. The type of data in this study is secondary data and time series data in the form of annual data from 1987 to 2017, the analysis technique used in this study is multiple linear regression. Based on the results of testing, simultaneously tax, investment (PMDN) and labor have a significant effect on economic growth in Indonesia from 1987 to 2017. Partially the tax variable has a significant positive effect, investment (PMDN) has a significant positive effect, labor has a significant positive effect towards economic growth in Indonesia from 1987 to 2017. In the future, it is recommended that policy makers, especially the government, must maximize national tax acquisition as a source of development costs. Increasing the value of investment in Indonesia by providing better security guarantees to investors, simplifying the licensing process and keeping the Indonesian economy stable and conducive. In addition, increasing the capacity and skills of the workforce is also very necessary given the increasingly global competition and as an effort to attract third parties to come to areas that have high capacity resources.
This study aims to look at: (1) the influence of education on lifelong migration in Indonesia. (2) Effect of wages on lifetime migration in Indonesia. (3) Effect of employment opportunities on lifelong migration in Indonesia. (4) The effect of marriage on lifelong migration in Indonesia, and (5) The effect of education, wages, employment opportunities and wages together on lifelong migration in Indonesia. This study uses Indonesian Susenas Statistics data from 2005-2016. The analysis technique used is OLS by using the fixed effect model. The results of this study indicate that education has a negative and insignificant effect on lifetime migration. Partially the variables of wages, employment opportunities and marriage have a positive and significant effect on lifetime migration in Indonesia. Taken together the variables of education, wages, employment opportunities and marriage have a significant effect on lifetime migration in Indonesia.
This study analyzes the influence of United States GDP, cinnamon export prices, cinnamon production, and the exchange rate on Indonesia's cinnamon exports to the United States, both partially and simultaneously. The data used in this study are time series data from 1989-2018. The data obtained were analyzed by using multiple regression techniques. The results of this study are 1) there is a significant and positive influence of the United States GDP on Indonesia's cinnamon exports, 2) there is a significant and positive influence on the price of cinnamon exports on Indonesia's cinnamon exports, 3) there is no significant effect of cinnamon production on Indonesia's cinnamon exports, 4) there is a significant and positive exchange rate effect on Indonesia's cinnamon exports. Simultaneously, there is a significant influence on United State GDP, cinnamon export prices, cinnamon production, and the exchange rate on Indonesia's cinnamon exports to the United States.
E-money is a type of electronic or digital payment that replaces cash payments. These technological developments will have an impact on reducing the use of cash. The use of e-money possibly affects stock, which is a form of securities. Therefore, the purpose of this study is to assess the relationship between e-money and stock. The study uses the two-stage least squares model to analyze quarterly data for 2011Q1-2019Q4. The study found no relationship between stock and e-money in Indonesia, whereas, in Thailand, there was a relationship between stock and e-money. There is no relationship between e-money and stock in Indonesia and Thailand. The study recommends the Indonesian government or central bank adopt the policies that Thailand has implemented in stock that affects e-money. Stocks can affect the use of e-money due to the profits or losses of the stock that will impact the use of e-money.JEL Classification: D53, E40How to Cite:Aimon, H., Sentosa, S. U., & Mahatir, M. R. (2021). E-money and Stock: Empirical Evidence from Indonesia and Thailand. Signifikan: Jurnal Ilmu Ekonomi, 10(1), 139-148. https://doi.org/10.15408/sjie.v10i1.15380.
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