Abstract Based on economic data and STR model, the paper studies the nonlinear influential effects of GDP per capital growth rate, urbanization rate and technical progress rate on energy consumption intensity. The inspection result shows that, when using the time-delay GDP per capital growth rate and urbanization rate as smooth transition variable to build ESTR model, and technical progress rate to build LSTR model, the modeling would be the most appropriate. The research finds that steady and relatively fast growth of China’s economy can reduce the energy consumption intensity continuously, and the steady progress of urbanization can facilitate the reduce of energy consumption intensity, while technical progress can pull up energy consumption prominently.
2015, Vol. 32 
