Total-Factor Energy Efficiency Evaluation And Evolution Mechanism

Firstly, this paper investigates the total-factor energy efficiency for 23 developing countries during the period of 1980-2005 by applying data envelopment analysis (DEA) window, this method considers radial and non radial adjustment, and the result could show the energy efficiency change trend of these developing countries. Secondly, Tobit regression analysis indicates that a U-shaped relationship exists between total-factor energy efficiency and income per capita, this means that energy efficiency worsens with increasing income per capita due to growth of industries until a certain point. Then, it rises after income per capita reach the point. Then, to explore the driving forces which affect the changes of total-factor energy efficiency, it presents a production-theoretical decomposition analysis based on the Shephard output distance function. The empirical studies indicate that technical efficiency change and technical change improve total-factor energy efficiency for most of 23 developing countries. Finally, the study alpplies Unit root tests, Granger causality and Generalized impulse response functions to investigate the relationship between economic growth, energy consumption, and carbon emissions in China, countries would propose some energy policies based on these scientific and reasonable results.