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Urban energy environment efficiency in China: Based on dynamic meta-frontier slack-based measures

机译:基于动态元边界松弛法的中国城市能源环境效率

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Rapid economic growth in China has resulted in a significant increase in particulate matter (PM2.5) and sulfur dioxide (SO2), the reduction of which has become a primary government focus. However, as the energy consumption and air pollutant emissions in Chinese cities have very significant regional characteristics, individual governance measures are necessary. This study used 2013 to 2016 energy consumption data from 31 Chinese cities to evaluate the dynamic efficiency of the urban environments. Labor, fixed assets, and energy consumption were taken as the inputs, gross domestic product (GDP) was taken as the output, and particulate matter (PM2.5) and sulfur dioxide (SO2) were taken as the carry-over variable indicators. Using a meta-frontier dynamic DEA model, the 31 cities were classified into high-income and upper-middle-income cities, the overall 2013-2016 energy consumption and air pollutant efficiency scores were analyzed, and improvements and changes were recommended to increase the efficiencies. Large differences were found in the energy consumption and air pollution emissions efficiency scores and the needed improvements, with the hig-income cities performing better overall than the upper-middle-income cities. While there have been some significant improvements in SO2 emissions, PM2.5 improvements have been far slower. Therefore, in most cities, more control measures are needed to control PM2.5 emissions. However, in addition to improving PM2.5 in the upper-middle-income cities, SO(2)treatments are also needed. Implications: There are big differences in the expectation of improvement of the two pollutants in all cities. In many Western cities, the expectation of PM2.5 improvement in the past years has not been reduced, but has been expanding. This shows that the central government has unified the air pollution control policies and the existing air pollution control measures formulated and implemented by the local governments.
机译:中国经济的快速增长导致颗粒物(PM2.5)和二氧化硫(SO2)的显着增加,减少颗粒物已成为政府的主要工作重点。但是,由于中国城市的能源消耗和空气污染物排放具有非常重要的区域特征,因此有必要采取单独的治理措施。这项研究使用了2013年至2016年中国31个城市的能源消耗数据来评估城市环境的动态效率。劳动力,固定资产和能源消耗作为输入,国内生产总值(GDP)作为输出,颗粒物(PM2.5)和二氧化硫(SO2)作为结转变量指标。使用亚边界动态DEA模型,将31个城市分为高收入和中高收入城市,分析了2013-2016年的总体能耗和空气污染物效率得分,并建议进行改进和更改以增加效率。能源消耗和空气污染排放效率得分以及需要改进的地方之间存在很大差异,其中高收入城市的总体表现优于中高收入城市。尽管SO2排放有了一些显着的改善,但PM2.5的改善却要慢得多。因此,在大多数城市,需要采取更多的控制措施来控制PM2.5排放。但是,除了改善中高收入城市的PM2.5外,还需要进行SO(2)处理。启示:所有城市对两种污染物的改善期望有很大差异。在许多西方城市中,过去几年对PM2.5改善的期望并未降低,但一直在扩大。这表明中央政府统一了地方政府制定和实施的大气污染控制政策和现行的大气污染控制措施。

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