 Cointegration between Energy Consumption, CO2 Emissions, and GDP in IndiaKrishna Murthy Inumula and K. Deeppa Jindal Journal of Business Research, 2017, vol. 6, issue 1, 1-13 Abstract: This article examines the cointegration relationship among the per capita gross domestic product (GDP), per capita energy consumption, and per capita carbon dioxide (CO 2 ) emissions, the effect of energy consumption and per capita GDP on CO 2 emissions for India covering the period 1980–2014. All the data variables are non-stationary in level form but are integrated of order one. Johansen’s rank procedure and Engle–Granger vector autoregressive (VAR) is used to determine the cointegration relation and direction of causality among the variables (Murthy, 2011). Vector error correction mechanism is used to study the short-run behavior of the variables; impulse responses to the shocks of variables are also studied in order to identify the variance decomposition of variables energy consumption, CO 2 emissions, and economic activity. VAR model is used for short-term forecasting of CO 2 emissions. Results have identified that the data variables energy consumption, CO 2 emissions, and GDP are cointegrated and VAR is proved to be good tool for short-term forecasting of CO 2 emissions. Keywords: Cointegration; energy consumption CO2 emissions; forecasting; non-stationary (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sae:jjlobr:v:6:y:2017:i:1:p:1-13 Access Statistics for this article More articles in Jindal Journal of Business Research |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.