張躍軍，男，1980年生，湖南安仁人，博士、教授、博士生導師，長江學者獎勵計畫青年學者（2016年）、國家高層次人才特殊支持計畫（即“萬人計畫”）青年拔尖人才（2014年）、國家自然基金委優秀青年基金獲得者（2013年）、湖南省“湖湘青年英才”支持計畫人選（2016年）、北京市中青年社科理論人才“百人工程”人選（2012年）、北京市 優 秀 人才培養資助計畫人選（2011年）。
張躍軍教授主要從事石油資產定價與預測、碳交易與碳減排政策、能源經濟複雜系統建模等領域的研究工作。現已主持國家自然科學基金優秀青年基金項目、國家社科基金重大項目、國家萬人計畫項目等重要科研任務10餘項；並作為子課題負責人參與承擔國家973課題、國家自然基金委重大國際合作項目和重點項目等20餘項。
截至2019年初，張躍軍教授已以第一或通訊作者在國內外學術期刊發表論文100餘篇，其中在Energy Economics、Journal of Forecasting、European Journal of Operational Research、Applied Energy等國際權威期刊發表SSCI/SCI論文70餘篇，16篇論文上榜ESI熱點/高被引論文，論文被美國史丹福大學研究生課程列為授課材料，論文獲得Elsevier集團的Award for Most Cited Energy Article from China。主編著作3部；撰寫10餘份政策報告被中央有關部委採用，多份報告得到國家領導人批示。研究成果獲得湖南省社會科學優秀成果一等獎（排名第一）、教育部高等學校科學研究優秀成果獎自然科學獎二等獎（排名第一）。
基本介紹
- 中文名：張躍軍
- 國籍：中國
- 出生地：湖南安仁
- 出生日期：1980年
- 畢業院校：中國科學院科技政策與管理科學研究所
- 代表作品：《石油市場風險管理：模型與套用》
- 職稱：湖南大學教授
人物簡介,學術論文,出版專著,主持科研項目,主要榮譽,
人物簡介
張躍軍2009年畢業於中國科學院科技政策與管理科學研究所（管理科學與工程專業），獲管理學博士學位。博士畢業後，進入北京理工大學管理與經濟學院工作，歷任講師、副教授、博士生導師。2014年加盟湖南大學工商管理學院，任教授、博士生導師。2015年獲得湖南省首屆“我最喜愛的青年教師”。
兼任國際能源經濟學會（IAEE）會員，中國優選法統籌法與經濟數學研究會能源經濟與管理研究分會副秘書長，中國系統工程學會能源資源系統工程分會常務理事，中國優選法統籌法與經濟數學研究會青年工作委員會常務委員，中國能源研究會能源系統工程專業委員會委員等；SCI期刊Journal of Cleaner Production等9份國際學術期刊的客座主編、副主編或編委，40餘份國際知名學術期刊審稿人；美國加州大學伯克利分校、勞倫斯伯克利國家實驗室訪問學者、新加坡國立大學訪問學者，東亞東協經濟研究中心（ERIA）項目專家。
學術論文
[1]Yue-Jun Zhang, Jin-Li Wang. Do high-frequency stock market data help forecast crude oil prices? Evidence from the MIDAS models. Energy Economics, 2019, 78: 192-201. (SSCI)
[2]Yue-Jun Zhang, Ting Yao, Ling-Yun He, Ronald Ripple. Volatility forecasting of crude oil market: Can the regime switching GARCH models beat the single-regime GARCH models? International Review of Economics and Finance, 2019, 59: 302-317. (SSCI)
[3]Yue-Jun Zhang, Yan-Lin Jin, Bo Shen. Measuring the energy saving and CO2 emissions reduction potential under China’s Belt and Road Initiative. Computational Economics, 2018. In press. (SCI&SSCI) DOI: 10.1007/s10614-018-9839-0
[4]Yue-Jun Zhang, Jin-Liang Zhang. Volatility forecasting of crude oil market: A new hybrid method. Journal of Forecasting, 2018, 37: 781-789. (SSCI)
[5]Yue-Jun Zhang, Xiao-Juan Bian, Weiping Tan. The linkages of sectoral carbon dioxide emission caused by household consumption in China: evidence from the Hypothetical Extraction Method. Empirical Economics, 2018, 54(4): 1743-1775. (SSCI)
[6]Yue-Jun Zhang, Ming-Ying Chen. Evaluating the dynamic performance of energy portfolios: Empirical evidence from the DEA directional distance function. European Journal of Operational Research, 2018, 269(1): 64-78. (SCI&SSCI)
[7]Yue-Jun Zhang, Zhao Liu, Si-Ming Zhou, Chang-Xiong Qin, Huan Zhang. The impact of China’s Central Rise Policy on carbon emissions at the stage of operation in road sector. Economic Modelling. 2018, 71: 159-173. (SSCI)
[8]Yue-Jun Zhang, Ya-Fang Sun, Jun-Ling Huang. Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment. Energy Policy, 2018, 115: 119–130. (SCI&SSCI)
[9]Yue-Jun Zhang, Julien Chevallier, Khaled Guesmi. "De-financialization" of commodities? Evidence from stock, crude oil and natural gas markets.Energy Economics, 2017, 68: 228-239. (SSCI)
[10]Yue-Jun Zhang, Xiao-Juan Bian, Weiping Tan, Juan Song. The indirect energy consumption and CO2 emission caused by household consumption in China: an analysis based on the Input-Output method. Journal of Cleaner Production, 2017, 163: 69-83. (SCI&SSCI)
[11]Yue-Jun Zhang, Jun-Fang Hao. Carbon emission quota allocation among China's industrial sectors based on the equity and efficiency principles. Annals of Operations Research, 2017, 255(1-2): 117-140. (SCI&SSCI)
[12]Yue-Jun Zhang, Hua-Rong Peng. Exploring the direct rebound effect of residential electricity consumption: an empirical study in China. Applied Energy, 2017, 196: 132-141. (SCI&SSCI)
[13]Jing-Li Fan, Yue-Jun Zhang*, Bing Wang. The impact of urbanization on residential energy consumption in China: an aggregated and disaggregated analysis. Renewable & Sustainable Energy Reviews, 2017, 75: 220-233. (SCI) (*通訊作者)
[14]Yue-Jun Zhang, Hua-Rong Peng, Bin Su. Energy rebound effect in China's Industry: an aggregate and disaggregate analysis. Energy Economics, 2017, 61: 199-208. (SSCI)
[15]Yue-Jun Zhang, Yu-Lu Peng, Chao-Qun Ma, Bo Shen. Can environmental innovation facilitate carbon emissions reduction? Evidence from China. Energy Policy, 2017, 100: 18-28. (SCI&SSCI)
[16]Yue-Jun Zhang, Zhao Liu*, Chang-Xiong Qin, Tai-De Tan. The direct and indirect CO2 rebound effect for private cars in China. Energy Policy, 2017, 100: 149-161. (SCI&SSCI)
[17]Yue-Jun Zhang, Yan-Lin Jin, Julien Chevallier, Bo Shen. The effect of corruption on carbon dioxide emissions in APEC countries: a panel quantile regression analysis. Technological Forecasting and Social Change, 2016, 112: 220-227. (SSCI)
[18]Yue-Jun Zhang, Jun-Fang Hao, Juan Song. The CO2 emission efficiency, reduction potential and spatial clustering in China's industry: evidence from the regional level. Applied Energy, 2016, 174: 213-223. (SCI&SSCI)
[19]Yue-Jun Zhang, Ting Yao. Interpreting the movement of oil prices: driven by fundamentals or bubbles?. Economic Modelling, 2016, 55: 226-240. (SSCI)
[20]Yue-Jun Zhang, Ya-Fang Sun. The dynamic volatility spillover between European carbon trading market and fossil energy market. Journal of Cleaner Production, 2016, 112(4): 2654–2663. (SCI&SSCI)
[21] Yue-Jun Zhang, Jun-Fang Hao. The evaluation of environmental capacity: evidence in Hunan province of China. Ecological Indicators, 2016, 60:514–523. (SCI)
[22]Yue-Jun Zhang, Hua-Rong Peng, Zhao Liu, Weiping Tan. Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach.Energy Policy, 2015, 87: 303-313. (SCI&SSCI)
[23]Yue-Jun Zhang, Ao-Dong Wang, Weiping Tan. The impact of China's carbon allowance allocation rules on the product prices and emission reduction behaviors of ETS-covered enterprises. Energy Policy, 2015, 86: 176-185. (SCI&SSCI)
[24] Jin-Liang Zhang, Yue-Jun Zhang*, Lu Zhang. A novel hybrid method for crude oil price forecasting. Energy Economics, 2015, 49: 649-659. (SSCI) (*通訊作者)
[25]Yue-Jun Zhang, Lu Zhang. Interpreting the crude oil price movements: evidence from the Markov regime switching model. Applied Energy, 2015, 143: 96-109. (SCI&SSCI)
[26] Yue-Jun Zhang, Ya-Bin Da. The decomposition of energy-related carbon emission and its decoupling with economic growth in China. Renewable & Sustainable Energy Reviews, 2015, 41: 1255-1266. (SCI)
[27] Yue-Jun Zhang, Ao-Dong Wang, Ya-Bin Da. Regional allocation of carbon emission quotas in China: evidence from the Shapley value method. Energy Policy, 2014, 74: 454-464. (SCI&SSCI)
[28] Gang Wu, Yue-Jun Zhang*. Does China factor matter? An econometric analysis of international crude oil prices. Energy Policy, 2014, 72: 78-86. (SCI&SSCI) (*通訊作者)
[29] Yue-Jun Zhang. Speculative trading and WTI crude oil futures price movement: an empirical analysis. Applied Energy, 2013, 107: 394-402. (SCI&SSCI)
[30] Yue-Jun Zhang, Zi-Yi Wang. Investigating the price discovery and risk transfer functions in the crude oil and gasoline futures markets: some empirical evidence. Applied Energy, 2013, 104: 220-228. (SCI&SSCI)
[31] Tian-Jian Yang, Yue-Jun Zhang*, Jin Huang, Ruo-Hong Peng. Estimating the energy saving potential of telecom operators in China. Energy Policy, 2013, 61: 448-459. (SCI&SSCI)（*通訊作者）
[32] Yue-Jun Zhang. Interpreting the dynamic nexus between energy consumption and economic growth: empirical evidence from Russia. Energy Policy, 2011, 39(5): 2265-2272. (SCI&SSCI)
[33] Yue-Jun Zhang. The impact of financial development on carbon emissions: an empirical analysis in China. Energy Policy, 2011, 39(4): 2197-2203. (SCI&SSCI)
[34] Yue-Jun Zhang, Yi-Ming Wei. The dynamic influence of advanced stock market risk on international crude oil return: an empirical analysis. Quantitative Finance, 2011, 11(7): 967-978. (SCI&SSCI)
[35] Yue-Jun Zhang, Yi-Ming Wei. The crude oil market and the gold market: evidence for cointegration, causality and price discovery. Resources Policy, 2010, 35(3): 168-177. (SSCI)
[36] Yue-Jun Zhang, Yi-Ming Wei. An overview of current research on EU ETS: evidence from its operating mechanism and economic effect. Applied Energy, 2010, 87(6): 1804-1814. (SCI&SSCI）
[37] Yue-Jun Zhang, Ying Fan, Hsien-Tang Tsai, Yi-Ming Wei. Spillover effect of US dollar exchange rate on oil prices. Journal of Policy Modeling, 2008, 30(6): 973-991.（SSCI）
[38] Ying Fan, Yue-Jun Zhang, Hsien-Tang Tsai, Yi-Ming Wei. Estimating ‘Value at Risk’ of crude oil price and its spillover effect using the GED approach. Energy Economics, 2008, 30(6): 3156-3171.（SSCI）
出版專著
1,張躍軍, 魏一鳴. 石油市場風險管理: 模型與套用. 北京: 科學出版社, 2013.
2, 魏一鳴, 張躍軍. 中國能源經濟數字圖解2012-2013.北京: 科學出版社, 2013.
主持科研項目
1, 完善我國碳排放交易制度研究. 國家社科基金重大項目. 2019-2022.
2, 中國碳排放配額交易對碳減排的影響機制建模及最佳化策略研究. 國家自然科學基金面上項目. 2018-2021.
3, 石油金融與碳金融系統建模. 國家自然科學基金優秀青年項目. 2014-2016.
4, 碳排放配額交易的市場機制與政策研究. 國家自然科學基金面上項目. 2013-2016.
5, 國際石油市場複雜系統投機泡沫機制及其實證研究. 國家自然科學基金青年項目. 2011-2013.
6, 國際石油市場投機泡沫複雜機制及其對油價波動的影響研究. 教育部博士點基金. 2011-2013.
7, 應對氣候變化的碳交易市場機制與模型研究. 教育部人文社會科學研究基金項目. 2010-2012.
8,北京市金融發展對碳排放的複雜影響機制建模及實證研究. 北京市優 秀 人 才培養資助計畫. 2012-2013.
9,世界主要城市煤炭清潔化管理經驗借鑑. 北京節能環保中心. 2011-2012.
主要榮譽
1, 2018年，教育部高等學校科學研究優秀成果獎自然科學獎二等獎（排名第一）
2, 2017年，第十三屆湖南省社會科學優秀成果一等獎（排名第一）
3, 2016年，長江學者獎勵計畫青年學者
4, 2016年，湖南省“湖湘青年英才”支持計畫
5, 2015年，湖南省首屆“我最喜愛的青年教師”
6, 2014年，國家高層次人才特殊支持計畫（即“萬人計畫”）青年拔尖人才
7, 2014年，教育部高等學校科學研究優秀成果獎科技進步獎二等獎（排名第六）
8, 2013年， 國家自然科學基金委優秀青年科學基金項目
9, 2012年，北京市中青年社科理論人才“百人工程”
10, 2011年，北京市優 秀 人才培養資助計畫
