Economic and Environmental Effects of Energy Consumption in High-Consumption Countries (Evidence of Vector Regression with Nonlinear Panel Distribution Intervals)

The aim of this study was to estimate the nonlinear effect of oil, gas, electricity, and coal energy consumption on carbon dioxide emissions in ten energy-intensive countries (Iran, South Korea, Japan, Germany-Russia-USA-India-Canada-Brazil and China) in the world. Statistics and information used to estimate the nonlinear autoregressive panel model with distributed intervals (PANEL NARDL) have been extracted from the database of the World Bank and the World Energy Organization for the period 1985-2019. The results show that increased consumption of gas, electricity, coal, and oil leads to increased carbon dioxide emissions, while a decrease in their consumption reduces carbon dioxide emissions in the long run. Also, the nonlinear relationship between the per capita of consumption of these four types of energy and the emission of carbon dioxide in high-consumption countries was confirmed by the parent test in the long run. Therefore, reducing the use of fossil fuels and shifting the focus to clean and renewable energy consumption is proposed for the five selected countries, especially Iran, and economic policymakers should prioritize environmental protection by enacting applicable laws. In this way, the creation and development of intelligent infrastructure for the carbon economy and industry are essential.