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首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >New Energy Development and Pollution Emissions in China
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New Energy Development and Pollution Emissions in China

机译：中国的新能源开发与污染排放

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China’s rapid economic growth is accompanied by increasing energy consumption and severe environmental problems. As sustainable development can only be achieved by reducing energy intensity, new energy and renewable energy investment, as well as improving traditional energy efficiency, is becoming increasingly important. However, past energy efficiency assessments using data envelopment analysis (DEA) models mostly focused on radial and non-radial DEA model analyses. However, traditional radial DEA models ignore non-radial slacks when evaluating efficiency values, and non-radial DEA models ignore the same proportionality as radial DEA when evaluating efficiency value slacks. To balance the radial and non-radial model characteristics and consider undesirable output, this study combines a modified Epsilou-based measure (EBM) DEA and undesirable output and proposes a modified undesirable EBM DEA model to analyze the efficiency of China’s new and traditional energy sources. The empirical results found that (1) most new energy investment in most municipalities/provinces rapidly grew from 2013 to 2016; (2) as the annual efficiency score was only 1 in Beijing, Inner Mongolia, Shanghai, and Tianjin, the other 26 municipalities/provinces need significant improvements; (3) traditional energy efficiency scores were higher than new energy efficiency; and (4) NO2 efficiencies are slightly better than CO2 and SO2 efficiencies.
机译：中国经济的快速增长伴随着能源消耗的增加和严重的环境问题。由于只能通过降低能源强度来实现可持续发展，因此新能源和可再生能源投资以及提高传统能源效率变得越来越重要。但是，过去使用数据包络分析（DEA）模型进行的能效评估主要集中在径向和非径向DEA模型分析上。但是，传统的径向DEA模型在评估效率值时会忽略非径向松弛，而非径向DEA模型在评估效率值时会忽略与径向DEA相同的比例。为了平衡径向模型和非径向模型的特征并考虑不期望的输出，本研究结合了改进的基于Epsilou的度量（EBM）DEA和不期望的输出，并提出了改进的不期望的EBM DEA模型来分析中国新能源和传统能源的效率。实证结果发现：（1）大多数城市/省份的新能源投资从2013年到2016年迅速增长； （2）由于北京，内蒙古，上海和天津的年度效率得分仅为1，因此其他26个市/省需要显着改善； （3）传统能源效率得分高于新能源效率； （4）NO2效率略高于CO2和SO2效率。

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