This paper is conducted to examine the relationship between the use of renewable energy and FDI in Indonesia. The data used in this study is secondary data that has been published by the World Bank and accessed in www.Data.worldbank.org. periode 2004-2019. The data analysis method used is the autoregressive distributed lag (ARDL) method. The results of the study found that the use of renewable energy in the short and long term has a positive effect on Indonesia’s economic growth. Meanwhile, the same thing is also shown from the FDI variable in the short term and long term which has a significant positive effect on economic growth and has a positive effect on economic growth. Finally, with this finding, it is concluded that both the short and long term the Indonesian government needs to make a breakthrough to explore renewable energy sources for economic growth.

This study was conducted to examine the effect of the variable use of CO2 emission gas and export variables on Indonesia’s economic growth. The data used in this study are time series data from the two variables for the period 2004 to 2019. All data were obtained from the world bank and accessed through the www.data.worldbank.org. The data analysis method used in this study uses an autoregressive distributed lag (ARDL) model approach. The ARDL model is used to examine the short-term and long-term effects of CO2 gas emission variables and export variables. The results of the study found that the variable use of CO2 emission gas in the short term had a positive and insignificant effect on economic growth. The export variable has a significant positive effect on economic growth. Meanwhile, in the long term, the variable use of CO2 emission gas and the export variable has no effect on Indonesia’s economic growth. This finding shows that Indonesia’s economic growth is still determined by exports, but in the long term the government must work harder to increase its exports. In addition, export activities must not lead to the use of excessive CO2 emissions.