{"title":"考虑碳排放的中国工业能源效率评价","authors":"Cao Ming, W. Xiaoping","doi":"10.1109/CDCIEM.2011.453","DOIUrl":null,"url":null,"abstract":"Data envelopment analysis (DEA) is effective to evaluate energy efficiency, but few studies use this technique considering carbon emissions. This paper measures Chinese industrial sector¡¯s energy efficiency considering carbon emissions based on the slack-based measure (SBM) model in1997-2008. The results show that Chinese industrial energy efficiency is relatively low, the average scores (SBM-based)fluctuated between 0.26 and 0.35, and the trend is decreasing gradually. By Comparative analysis, prove that SBM model considering undesirable outputs can better assess energy efficiency and the level of industrial low-carbon development, the last six sectors¡¯ energy efficiency are extremely low and have great potentiality for improvement.","PeriodicalId":6328,"journal":{"name":"2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Chinese Industrial Energy Efficiency Evaluation Considering Carbon Emissions\",\"authors\":\"Cao Ming, W. Xiaoping\",\"doi\":\"10.1109/CDCIEM.2011.453\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data envelopment analysis (DEA) is effective to evaluate energy efficiency, but few studies use this technique considering carbon emissions. This paper measures Chinese industrial sector¡¯s energy efficiency considering carbon emissions based on the slack-based measure (SBM) model in1997-2008. The results show that Chinese industrial energy efficiency is relatively low, the average scores (SBM-based)fluctuated between 0.26 and 0.35, and the trend is decreasing gradually. By Comparative analysis, prove that SBM model considering undesirable outputs can better assess energy efficiency and the level of industrial low-carbon development, the last six sectors¡¯ energy efficiency are extremely low and have great potentiality for improvement.\",\"PeriodicalId\":6328,\"journal\":{\"name\":\"2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDCIEM.2011.453\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDCIEM.2011.453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Chinese Industrial Energy Efficiency Evaluation Considering Carbon Emissions
Data envelopment analysis (DEA) is effective to evaluate energy efficiency, but few studies use this technique considering carbon emissions. This paper measures Chinese industrial sector¡¯s energy efficiency considering carbon emissions based on the slack-based measure (SBM) model in1997-2008. The results show that Chinese industrial energy efficiency is relatively low, the average scores (SBM-based)fluctuated between 0.26 and 0.35, and the trend is decreasing gradually. By Comparative analysis, prove that SBM model considering undesirable outputs can better assess energy efficiency and the level of industrial low-carbon development, the last six sectors¡¯ energy efficiency are extremely low and have great potentiality for improvement.
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