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Yue-Jun Zhang
(张跃军)

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This is information that was supplied by Yue-Jun Zhang in registering through RePEc. If you are Yue-Jun Zhang , you may change this information at the RePEc Author Service. Or if you are not registered and would like to be listed as well, register at the RePEc Author Service. When you register or update your RePEc registration, you may identify the papers and articles you have authored.

Personal Details

First Name: Yue-Jun
Middle Name:
Last Name: Zhang
Suffix:

RePEc Short-ID: pzh370

Email:
Homepage: http://authors.repec.org/pro/pzh370/
Postal Address:
Phone:

Affiliation

Business School
Hunan University
Location: Changsha, China
Homepage: http://ibschool.hnu.cn/
Email:
Phone: +86 731 88823890
Fax: +86 731 88823670
Postal: No.11 Lushan South Road, Changsha 410082
Handle: RePEc:edi:bshnucn (more details at EDIRC)

Works

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Articles

  1. Wu, Gang & Zhang, Yue-Jun, 2014. "Does China factor matter? An econometric analysis of international crude oil prices," Energy Policy, Elsevier, vol. 72(C), pages 78-86.
  2. Yang, Tian-Jian & Zhang, Yue-Jun & Huang, Jin & Peng, Ruo-Hong, 2013. "Estimating the energy saving potential of telecom operators in China," Energy Policy, Elsevier, vol. 61(C), pages 448-459.
  3. Yue-Jun Zhang & Ya-Bin Da, 2013. "Decomposing the changes of energy-related carbon emissions in China: evidence from the PDA approach," Natural Hazards, International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(1), pages 1109-1122, October.
  4. Hao Yu & Bing Wang & Yue-Jun Zhang & Shouyang Wang & Yi-Ming Wei, 2013. "Public perception of climate change in China: results from the questionnaire survey," Natural Hazards, International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(1), pages 459-472, October.
  5. Zhang, Yue-Jun, 2013. "Speculative trading and WTI crude oil futures price movement: An empirical analysis," Applied Energy, Elsevier, vol. 107(C), pages 394-402.
  6. Zhang, Yue-Jun & Wang, Zi-Yi, 2013. "Investigating the price discovery and risk transfer functions in the crude oil and gasoline futures markets: Some empirical evidence," Applied Energy, Elsevier, vol. 104(C), pages 220-228.
  7. Yue-Jun Zhang & Hao-Ran Chang, 2012. "The impact of acid rain on China’s socioeconomic vulnerability," Natural Hazards, International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(2), pages 1671-1683, November.
  8. Yue-Jun Zhang & Yi-Ming Wei, 2011. "The dynamic influence of advanced stock market risk on international crude oil returns: an empirical analysis," Quantitative Finance, Taylor & Francis Journals, vol. 11(7), pages 967-978.
  9. Zhang, Yue-Jun, 2011. "The impact of financial development on carbon emissions: An empirical analysis in China," Energy Policy, Elsevier, vol. 39(4), pages 2197-2203, April.
  10. Zhi-Fu Mi & Yue-Jun Zhang, 2011. "Estimating the 'value at risk' of EUA futures prices based on the extreme value theory," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 35(2/3/4), pages 145-157.
  11. Zhang, Yue-Jun, 2011. "Interpreting the dynamic nexus between energy consumption and economic growth: Empirical evidence from Russia," Energy Policy, Elsevier, vol. 39(5), pages 2265-2272, May.
  12. Zhang, Yue-Jun & Wei, Yi-Ming, 2010. "The crude oil market and the gold market: Evidence for cointegration, causality and price discovery," Resources Policy, Elsevier, vol. 35(3), pages 168-177, September.
  13. Zhang, Yue-Jun & Wei, Yi-Ming, 2010. "An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect," Applied Energy, Elsevier, vol. 87(6), pages 1804-1814, June.
  14. Fan, Ying & Zhang, Yue-Jun & Tsai, Hsien-Tang & Wei, Yi-Ming, 2008. "Estimating 'Value at Risk' of crude oil price and its spillover effect using the GED-GARCH approach," Energy Economics, Elsevier, vol. 30(6), pages 3156-3171, November.
  15. Zhang, Yue-Jun & Fan, Ying & Tsai, Hsien-Tang & Wei, Yi-Ming, 2008. "Spillover effect of US dollar exchange rate on oil prices," Journal of Policy Modeling, Elsevier, vol. 30(6), pages 973-991.

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