Research on the Risk Factors of Power Coal Supply in China's Shanxi Province Based on ISM
Journal of Investment and Management
Volume 4, Issue 6, December 2015, Pages: 363-368
Received: Jul. 21, 2015; Accepted: Aug. 4, 2015; Published: Sep. 14, 2015
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Authors
Jun Dong, School of Economics and Management, North China Electric Power University, Beijing, China
Huijuan Huo, School of Economics and Management, North China Electric Power University, Beijing, China
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Abstract
The stability of power coal supply is of great significance for coal base construction and the focus of thermal power enterprise investment in Shanxi province. This paper analyzes the risk factors of power coal supply chain, builds up the power coal supply risk identification model based on ISM and identifies the major power coal supply risks. It is found that the key power coal supply risks for Shanxi's thermal power enterprise are coal enterprises business risk, the coal price fluctuation, coal supply contract risk etc. And then put forward the risk prevention measures.
Keywords
Power Coal Supply Risk, Interpretative Structural Modeling (ISM), Thermal Power Enterprise, Risk Prevention
To cite this article
Jun Dong, Huijuan Huo, Research on the Risk Factors of Power Coal Supply in China's Shanxi Province Based on ISM, Journal of Investment and Management. Vol. 4, No. 6, 2015, pp. 363-368. doi: 10.11648/j.jim.20150406.20
References
[1]
DOU Xun, LI Yang, GAO Ciwei, SONG Hongkun, RUAN Wenjun. A Coal Supply Security Early Warning System Based on Fuzzy Comprehensive Evaluation Method [J]. Automation of Electric Power Systems, 2011, 01: 29-33+76.
[2]
YAN Bing. Study on the Coordination Mechanism about the Sustainable Supply Chain of Power-coal [D].North China Electric University (Beijing), 2010.
[3]
Jian Zhiguo. Research on Risk Analysis and Control of Power Coal Supply Chain [D]. North China Electric University, 2014.
[4]
Han Yuzhong. Analysis of Guohua Power Coal Supply Chain Risk [D]. Dalian Maritime University, 2013.
[5]
YU Zuo, KONG Xian-li. The Formation Mechanism of Tense Atmosphere in Coal-electricity Relationships in the Policies Conflict Aspects [J]. China Industrial Economics, 2010, 04:46-57.
[6]
ZHENG Jiaxi. WANG Jiao. Analysis on the risk factors of the FUZZY-ISM structure model of government farmland water conservancy construction project [J]. Journal of Agrotechnical Economics, 2013, 12: 110-117.
[7]
WANG Hui, QIAO Jie. Clustering and testing the influence factors of cost management based on ISM [J].Statistics & Decision, 2014, 22: 174-176.
[8]
SUN Xue-jun. On the influential factors of low carbonization of coal supply chain based on the interpretative structural model [J]. Journal of Safety and Environment, 2014, 05: 270-274.
[9]
HAO Yun-jian, HU Xing-qiiu, WANG Hong-liang. An Analysis of Hydropower Investment Risks in Southeast Asia of China’s Hydropower Enterprises Based on ISM [J]. China Rural Water and Hydropower, 2014, 01: 157-160.
[10]
Yokabed Beikkhakhiana, Mohammad Javanmardib, Mahdi Karbasianb, Bijan Khayambashib. The application of ISM model in evaluating agile suppliers selection criteria and ranking suppliers using fuzzy TOPSIS-AHP methods [J]. Expert Systems with Applications, 2015, 42: 6224-6236.
[11]
Li Haobo, Sun Qiubai, Jiang Xin, Chen, Xuebo. Impact Factor Analysis of Undergraduate Innovative Thinking Based on ISM Model [A]. In: International Conference on Management and Engineering[C]. Destech Publications: 2014.
[12]
Ansari, Md. Fahim; Kharb, Ravinder Kumar; Luthra, Sunil. Analysis of barriers to implement solar power installations in India using interpretive structural modeling technique [J]. Renewable and Sustainable Energy Reviews, 2013, 27: 163-174.
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