中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Assessing the Economic-Environmental Efficiency of Energy Consumption and Spatial Patterns in China

文献类型:期刊论文

作者Lu, Chenyu2; Meng, Peng2; Zhao, Xueyan2; Jiang, Lu1,3; Zhang, Zilong1; Xue, Bing4
刊名SUSTAINABILITY
出版日期2019-02-01
卷号11期号:3页码:17
关键词energy transition energy efficiency data envelopment analysis spatial autocorrelation China
ISSN号2071-1050
DOI10.3390/su11030591
英文摘要The improvement of energy consumption efficiency represents a significant task and a critical step toward sustainable energy transformations. This study uses a data envelopment analysis (DEA) and spatial autocorrelation method to conduct comprehensive measurement and assessment research on the economic-environmental efficiency of energy consumption in 31 Chinese provinces. It then carries out a synthetic study on energy consumption efficiency in the context of temporal and spatial dimensions, analyzes the characteristics and patterns related to temporal and spatial evolution, and systematically summarizes the temporal and spatial evolution processes associated with China's economic-environmental efficiency in energy consumption. The results show that economic efficiency and environmental efficiency, both directly related to energy consumption, are positively correlated and display a parallel and synchronizing relationship. China's energy consumption efficiency displays an upward trend in general, although differences exist between economic efficiency and environmental efficiency about the growth rate and overall development level. In other words, economic efficiency is generally higher than environmental efficiency. A positive spatial correlation occurs between economic and environmental efficiency in energy consumption across all the Chinese provinces studied. Furthermore, some cluster characteristic can be identified. Accurately, the eastern coastal area of China with a higher efficiency represents a spatial cluster of high values, whereas the midwestern inland area of China with a lower efficiency represents a spatial cluster of low values. Therefore, a descending pattern is displayed from the east to the west. As time goes by, the extent of clustering could become more prominent, accompanied by an increasing spatial cluster of high values and a decreasing spatial cluster of low values. Accordingly, China needs to improve its energy consumption efficiency further and promote sustainable energy transformations.
资助项目National Natural Science Foundation of China[41561110] ; National Natural Science Foundation of China[41261112] ; National Natural Science Foundation of China[41661150] ; National Natural Science Foundation of China[41471116] ; National Natural Science Foundation of China[41701142] ; Science and Research Program in colleges and universities of Gansu Province[2018F-05] ; Science and Technology Support Program of Gansu Province[1304FKCA067] ; German BMBF Kopernikus Project for the Energy Transition-Thematic Field[4] ; Youth Innovation Promotion Association CAS[2016181]
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000458929500036
出版者MDPI
源URL[http://210.72.129.5/handle/321005/123919]  
专题中国科学院沈阳应用生态研究所
通讯作者Lu, Chenyu; Xue, Bing
作者单位1.Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Gansu, Peoples R China
2.Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Gansu, Peoples R China
3.Chinese Acad Sci, Inst Appl Ecol, Key Lab Environm Computat & Sustainabil Liaoning, Shenyang 110016, Liaoning, Peoples R China
4.Inst Advances Sustainabil Studies eV, D-14467 Potsdam, Germany
推荐引用方式
GB/T 7714
Lu, Chenyu,Meng, Peng,Zhao, Xueyan,et al. Assessing the Economic-Environmental Efficiency of Energy Consumption and Spatial Patterns in China[J]. SUSTAINABILITY,2019,11(3):17.
APA Lu, Chenyu,Meng, Peng,Zhao, Xueyan,Jiang, Lu,Zhang, Zilong,&Xue, Bing.(2019).Assessing the Economic-Environmental Efficiency of Energy Consumption and Spatial Patterns in China.SUSTAINABILITY,11(3),17.
MLA Lu, Chenyu,et al."Assessing the Economic-Environmental Efficiency of Energy Consumption and Spatial Patterns in China".SUSTAINABILITY 11.3(2019):17.

入库方式: OAI收割

来源:沈阳应用生态研究所

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