The Effect of Export Quality, Energy Efficiency, and Economic Complexity on CO۲ Emissions in the Emerging Economies: A DEA Model and Quantile Regression

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 CO۲ emissions per capita during the period of ۱۹۹۰ to ۲۰۱۴ 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 ۱۹۹۰ to ۲۰۱۴. 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 CO۲ 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 CO۲ emission is related to the quantile ۹۰th and about ۰.۸۷۴. Energy efficiency has a negative and significant effect in all quantiles except ۹۰th, and the highest coefficient of influence (۰.۱۳۳) is related to quantile ۱۰th. The increase in economic complexity increases the co۲ emissions in all quantiles except ۱۰th, and the highest coefficient (about ۰.۴۸۷) is related to quantile ۹۰th.

کلیدواژه ها:

CO۲ emissions ، Economic complexity ، Energy efficiency ، Export quality ، Mathematical programming methods ، Panel quantile regression