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Discrete Dynamics in Nature and Society
Volume 2014, Article ID 612064, 10 pages
http://dx.doi.org/10.1155/2014/612064
Research Article

Structural Analysis and Total Coal Demand Forecast in China

1School of Finance and Economics, Xi’an Jiaotong University, Xi’an 710061, China
2International Business School, Shaanxi Normal University, Xi’an 710119, China
3College of Economics and Management, Southwest University, Chongqing 400715, China
4College of Business, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong
5National Center for Mathematics and Interdisciplinary Science, Chinese Academy of Sciences, Beijing 100190, China

Received 7 March 2014; Accepted 16 May 2014; Published 5 June 2014

Academic Editor: Chuangxia Huang

Copyright © 2014 Qing Zhu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Bing-Bing Li, Qiao-Mei Liang, and Jin-Cheng Wang, “A comparative study on prediction methods for China's medium- and long-term coal demand,” Energy, vol. 93, pp. 1671–1683, 2015. View at Publisher · View at Google Scholar
  • Dongfang Ren, Xiaopeng Guo, and Jiaxing Shi, “Coal Price Forecasting and Structural Analysis in China,” Discrete Dynamics in Nature and Society, vol. 2016, 2016. View at Publisher · View at Google Scholar
  • Rui-Jie Zhou, and Li-Juan Li, “Joint capacity planning and distribution network optimization of coal supply chains under uncertainty,” AIChE Journal, vol. 64, no. 4, pp. 1246–1261, 2018. View at Publisher · View at Google Scholar
  • Chukiat Chaiboonsri, Satawat Wannapan, and Anuphak Saosaovaphak, “Economic and Business Cycle of India: Evidence from ICT Sector,” Advances in Panel Data Analysis in Applied Economic Research, pp. 29–43, 2018. View at Publisher · View at Google Scholar