Analysis of the total factor energy efficiency and its influencing factors of the Belt and Road key regions in China

Energy cooperation has been emphasized strongly in the Belt and Road (B&R) initiative. Therefore, the energy efficiency of China has attracted much attention from experts. However, relevant studies are still insufficient. This paper analyzes the total factor energy efficiency (TFEE) and its infl...

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Bibliographic Details
Published inEnvironmental science and pollution research international Vol. 26; no. 5; pp. 4764 - 4776
Main Authors Yang, Zhongshan, Wei, Xiaoxue
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2019
Springer Nature B.V
Subjects
Aquatic Pollution
Atmospheric Protection/Air Quality Control/Air Pollution
Earth and Environmental Science
Ecotoxicology
Energy efficiency
Environment
Environmental Chemistry
Environmental Health
Environmental science
Government finance
Power efficiency
R&D
Regions
Regression analysis
Research & development
Research Article
Scale efficiency
Waste Water Technology
Water Management
Water Pollution Control
China
Tobit model
The Belt and Road
Influencing factors
Malmquist
Total factor energy efficiency
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Summary:Energy cooperation has been emphasized strongly in the Belt and Road (B&R) initiative. Therefore, the energy efficiency of China has attracted much attention from experts. However, relevant studies are still insufficient. This paper analyzes the total factor energy efficiency (TFEE) and its influencing factors of 17 B&R key regions from 2005 to 2015. We use the ratio of target energy input and actual energy input to calculate the regional TFEE under environmental constraints. The Malmquist index and the Tobit model are applied to investigate the internal and external influences of TFEE. Measurement analysis shows that the TFEE of the B&R key regions has not improved in recent years and it is unbalanced during the study period. Regions in the east area have the highest TFEE; regions in the west area have the second high TFEE; and regions in the north area have the lowest TFEE. Regression analysis shows that for the B&R key regions, technical changes, coal consumption, research and development, and environmental pollution have mainly negative effects on TFEE; pure efficiency changes, scale efficiency changes, economic structure, opening up, and government finance have mainly positive effects on TFEE. Finally, precise policy implications are proposed.
ISSN:0944-1344
1614-7499
DOI:10.1007/s11356-018-3961-3