Literature DB >> 30565113

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

Zhongshan Yang1, Xiaoxue Wei2.   

Abstract

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.

Keywords:  Influencing factors; Malmquist; The Belt and Road; Tobit model; Total factor energy efficiency

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Year:  2018        PMID: 30565113     DOI: 10.1007/s11356-018-3961-3

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  2 in total

1.  Prediction of the Development Trend of the "Internet +" Logistics Industry under the "Belt and Road" Strategy.

Authors:  Chunhui Wen; Jinhai Yang; Zhuowu Zhang; Qianqian Guo; Haitao Xu
Journal:  Comput Intell Neurosci       Date:  2022-05-28

2.  A study on the effects of regional differences on agricultural water resource utilization efficiency using super-efficiency SBM model.

Authors:  Yujie Huang; Xianke Huang; Munan Xie; Wei Cheng; Qin Shu
Journal:  Sci Rep       Date:  2021-05-11       Impact factor: 4.379

  2 in total

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