期刊
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 26, 期 29, 页码 29822-29833出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s11356-019-05981-7
关键词
Heterogeneity; Divergent; Size; Coal consumption intensity
资金
- National Natural Science Foundation of China [71803068, 71603105, 71911540483]
- Ministry of Education of the Republic of Korea
- National Research Foundation of Korea [NRF-2018S1A5A2A03036952]
- National Research Foundation of Korea - Korean Government [NRF-2014K2A2A2000766]
- Natural Science Foundation of Jiangsu, China [SBK2016042936]
- Science Foundation of Ministry of Education of China [16YJC790067]
- China Postdoctoral Science Foundation [2017M610051, 2018T110054]
- National Research Foundation of Korea [2018S1A5A2A03036952] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Thermal power plants are the main source of carbon dioxide emissions in China. Beijing-Tianjin-Hebei and their neighborhood provinces are the most polluted regions in China. Environmental efficiencies of 528 thermal power plants were evaluated through metafrontier epsilon-based measure, which aimed to overcome the invalid inferences of radial or non-radial model. We also analyzed the heterogeneity of environmental efficiency across different regions by considering environmental technology differences. Bootstrap regression was used in order to testify three different hypotheses to address the disadvantages of conventional regression. We found that environmental efficiency in Beijing and Tianjin is higher than the other regions and is becoming divergent. In addition, coal consumption intensity negatively affects environmental efficiency. Large-scale power stations are more environmental efficient than smaller ones. Longer equipment utilization hour can enhance energy performance of power stations, which can decrease carbon emissions and increase environmental efficiency. It is better to promote technology transfer from regions with higher environmental efficiency to regions with lower environmental efficiency. Low-carbon technologies should be promoted to decrease carbon emissions.
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