The objective of this study is to examine the equilibrium relationship in the short and long term of energy consumption in Indonesia (ECI) and carbon dioxide emissions in Indonesia (CO 2 EI) for the period of 1980-2014. The dependent variable is environment and CO 2 emissions have been selected as an indicator for this variable while the independent variable in this study is energy consumption. In this study, quantitative method-based methodology has been selected. The quantitative method enable researcher to examine the relationship objectively using numbers, digits, and ratings as empirical evidence. In addition, the researcher used deductive reasoning to present the arguments. Deductive approach was selected because the research aims to test Environmental Kuznets Curve hypotheses and test it within the context of Indonesia and assess whether there is long term relationship between ECM and CO 2 EM. In order to analyse the panel data, this study used statistical techniques. Firstly, descriptive statistics has been used to assess the central tendency of data using mean and standard deviation. In addition, Dickey Fuller test was performed to check stationarity in the data. Finally, ARDL model was developed to check the impact of independent variables on dependent variable. Through time series models this study found that there is long-term equilibrium relationship between CO 2 E and EC. Furthermore, it can be concluded that there is a short-term relationship between the variables also. Finally, in general the results show that EC positively influences CO 2 E in the short and long term.
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.