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Today, carbon dioxide emission is one of the concerns of all countries in the world, so in this paper, we examine the effect of export quality, energy efficiency, and economic complexity on CO2 emissions per capita during the period of 1990 to 2014 in emerging economies. For this purpose, first, energy efficiency is calculated using mathematical programming methods (DEA). Then, the effect of export quality, energy efficiency, and economic complexity on per capita carbon dioxide emissions in the panel of emerging economies is investigated using panel quantile regression. The energy efficiency results show that the average energy efficiency of the studied countries had been increasing from 1990 to 2014. The lowest efficiency score among the studied countries is related to China. The results of quantile regression indicate that the export quality and consumption per capita of fossil fuels have a positive and significant effect on CO2 emissions per capita in all quantiles. The results also show that the coefficient increases by moving in the level of quantiles, so that, the highest effect coefficient of export quality on CO2 emission is related to the quantile 90th and about 0.874. Energy efficiency has a negative and significant effect in all quantiles except 90th, and the highest coefficient of influence (0.133) is related to quantile 10th. The increase in economic complexity increases the co2 emissions in all quantiles except 10th, and the highest coefficient (about 0.487) is related to quantile 90th. 

Keywords: CO2 emissions, Economic complexity, Energy efficiency, Export quality, Mathematical programming methods, Panel quantile regression

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