School of Finance and Economics, Jiangsu University, Zhenjiang, 212013, China.
College of Economics and Management, Chungnam National University, Daejeon, 34134, Korea.
Environ Sci Pollut Res Int. 2019 Oct;26(29):29822-29833. doi: 10.1007/s11356-019-05981-7. Epub 2019 Aug 13.
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.
火力发电厂是中国二氧化碳排放的主要来源。京津冀及其周边省份是中国污染最严重的地区。通过基于超效率前沿的ε测度方法评估了 528 家电厂的环境效率，旨在克服径向或非径向模型的无效推断。我们还通过考虑环境技术差异，分析了不同地区环境效率的异质性。为了解决传统回归的缺点，使用了自举回归来验证三个不同的假设。我们发现，北京和天津的环境效率高于其他地区，且差距正在扩大。此外，煤炭消费强度对环境效率有负面影响。大型电站比小型电站更具环境效率。更长的设备利用小时数可以提高电站的能源性能，从而减少碳排放并提高环境效率。最好促进环境效率较高地区向环境效率较低地区的技术转让。应推广低碳技术以减少碳排放。
