Abstract
The Global Malmquist-Luenberger index was
used to measure the energy efficiency of 11 provinces and regions in eastern
China from 2010 to 2019, the Tapio decoupling model was constructed to analyze
the decoupling relationship between economic growth and energy consumption and
energy use efficiency, and the prediction results of the carbon peak time of
each province in the existing literature were combined to put forward
suggestions for the provinces that were not ideal for the decoupling. The
results show that: (1) The total average energy efficiency of the 11 eastern
regions of China during the period from 2010 to 2019 was 0.911, showing an
overall upward trend, while the energy efficiency changes in each region were
different; (2) The decoupling of economic growth, energy consumption and energy
efficiency in Hebei and Hainan provinces was not ideal, and the decoupling in
other regions was getting better; (3) There will be a large gap in the time of
carbon peak in 11 regions in eastern China. Beijing, Tianjin, Shanghai,
Jiangsu, Zhejiang, Guangdong and Liaoning will achieve carbon peak in 2030 and
before; There will be no peaks in Hebei and Hainan regions, while the peaks in
Shandong and Fujian appear after 2030.
JEL classification numbers: F06.
Keywords: Carbon peak, Eastern region, Energy efficiency, Tapio
decoupling model, Directional distance function, Global Malmquist-Luenberger
index (GML).