The nexus between CO2 emissions from electricity generation, GDP and energy intensity using a complete maximum entropy approach: The case of Iran

This study examines the nexus between energy intensity (EI), gross domestic product (GDP) and carbon emissions from electricity generation (CEEG) in Iran, where has been increasing during last decades. Iran holds one of world’s largest fossil fuel reserves its sector is highly dependent on natural gas. In recent years, empirical literature focuses efficiency due to global warming climate change resulting burning conventional fuels. Therefore, finding role impact an economy assumed as a very important issue. The results current show positive EI CEEG, no GDP. On other hand, CEEG GDP clearly identified all scenarios considered study. generalized maximum entropy estimator used estimate parameters replicated models generated by bootstrap for time series, which represents novelty improvement towards stability entire estimation procedure.