Co2 Impact on GDP and TPES, Panel Data Analysis of Brazil, India, China and South Africa Countries Dr Bhatt Manoj1, Mr. Pandey Mohit2, Mr. Mayank Mohit2 1Associate Professor, Doon University, Dehradun 2Student of M.S.C Economics, Doon University Online published on 5 August, 2019. Abstract This study analyses energy trends for Brazil, India, China and South Africa (BICS) countries for the years 1991 to 2015 using simple macroeconomic equations calculating per-capita energy consumption, total energy consumption and rate of CO2 emissions. China holds the first position in CO2 emission and total energy demand, whereas South Africa has the highest per-capita energy consumption. The Hausman Test recommends Panel Regression Model to determine causality between GDP, TPES and CO2 emissions. The results obtained suggest that GDP and CO2 have a negative relationship, whereas CO2 have a positive relationship with TPES over time. The Johanson Co-Integration Test suggests thatvariables are highly co-integrated with each other, and TPESpossessesclosest relationship with the rate of CO2 emission, followed by GDP to TPES and GDP to CO2 emission. The Impulse Response Function shows that CO2 will rise due to GDP and TPES in future, and a positive shock to the TPES will increase GDP, whereas a positive shock to the GDP will not cause TPES to rise until three years. Top Keywords TPES, GDP, Co2emission, Per capita energy consumption, Total energy consumption. Top |