2014
DOI: 10.1016/j.enpol.2013.12.047
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Energy security in China: A quantitative analysis and policy implications

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Cited by 211 publications
(109 citation statements)
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“…The results are shown in Table 12 and Figure 1. [62,63] came to the same conclusion that China's macroeconomic policy would affect China's energy security evolution. The government should step up the implementation of policies and ensure the safety and stability of the entire oil market through macro control.…”
Section: Comprehensive Evaluation Of the China Oil Early Warning Systemmentioning
confidence: 87%
“…The results are shown in Table 12 and Figure 1. [62,63] came to the same conclusion that China's macroeconomic policy would affect China's energy security evolution. The government should step up the implementation of policies and ensure the safety and stability of the entire oil market through macro control.…”
Section: Comprehensive Evaluation Of the China Oil Early Warning Systemmentioning
confidence: 87%
“…沈镭等/2004 [7] 邓光君/2009 [8] 罗辉等/2010 [9] Nunes /2000 [10] IEA/1985/2001/2002 [11,12,13] Leung/2011 [14] Blum 等/2012 [15] Sovacool/2013 [16] Sharifuddin/2014 [17] Wu/2014 [18] Nelwan 等/2017 [19] http://www.resci.net Patlizianas 等/2008 [45] Vivoda/2010 [25] Sovacool 等/2011 [16] Hughes/2012 [46] Kamsamrong 等/2014 [47] Yao 等/2014 [40] Iewell 等/2014 [48] Ranjan 等/2014 鲍荣华/2002 [61] 沈镭等/2004 [7] 赵洋等/2011 [62] 李鹏飞等/2014 [63] 谢艳/2016 Abstract: Mineral resources are the basis of national economic development and an important guarantee for national political and military security. Security issues in this domain have become increasingly prominent.…”
Section: 引言mentioning
confidence: 99%
“…In order to solve these issues, fuzzy logic has recently been adopted as a method to handle nonquantitative factors and the ambiguity, but most studies using fuzzy logic for energy security analysis focus only on either a limited dimension of energy security, a particular sector, or a specific technology [7,8]. There also have been many studies that introduced fuzzy logic to energy sector [9][10][11][12], but no comprehensive analysis of energy security using fuzzy logic has been published so far.…”
Section: Introductionmentioning
confidence: 99%