张跃军，男，1980年生，湖南安仁人，中国科学院科技政策与管理科学研究所管理学博士。北京理工大学教授、博士生导师，长江学者奖励计划青年学者、国家自然基金委优秀青年基金获得者，北京市 优 秀 人才培养资助计划人选。

张跃军教授主要从事石油金融、碳金融、能源经济复杂系统建模等领域的研究工作。现已主持国家万人计划项目、国家自然科学基金等10余项，如“中国碳排放配额交易对碳减排的影响机制建模及优化策略研究”。截至2018年初，张跃军教授前后发表论文80余篇，其中SSCI/SCI论文50余篇，论文被美国斯坦福大学研究生课程列为授课材料，论文获得Elsevier集团的Award for Most Cited 能量 Article from China。主编著作3部；撰写10余份政策报告被中央有关部委采用，部分报告得到国家领导人批示。研究成果获得湖南省社会科学优秀成果一等奖。

2018年，荣获教育部高等学校科学研究优秀成果奖自然科学奖二等奖（排名第一）。

2009年毕业于中国科学院科技政策与管理科学研究所（管理科学与工程专业），获管理学博士学位。博士毕业后，进入北京理工大学管理与经济学院工作，历任讲师、副教授、博士生导师。2014年加盟湖南大学工商管理学院，任教授、博士生导师。2015年获得湖南省首届“我最喜爱的青年教师”。

兼任国际能源经济学会（IAEE）会员，中国优选法统筹法与经济数学研究会能源经济与管理研究分会副秘书长、常务理事，中国系统工程学会能源资源系统工程分会常务理事，中国优选法统筹法与经济数学研究会青年工作委员会常务委员，中国能源研究会能源系统工程专业委员会委员等；SCI期刊Journal of Cleaner Production等9份国际学术期刊的客座主编、副主编或编委，40余份国际知名学术期刊审稿人；加利福尼亚大学伯克利分校、劳伦斯伯克利国家实验室访问学者、新加坡国立大学访问学者，东亚东盟经济研究中心（ERIA）项目专家。

[1]Yue-Jun Zhang, JinLiang Zhang. Volatility forecasting of crude oil market: A new hybrid method.Journal of Forecasting, 2017. In press. (SSCI, IF=0.747) DOI:10.1002/for.2502

[2]Yue-Jun Zhang, Xiao-Juan Bian, Weiping Tan. The linkages of sectoral 碳 dioxide emission caused by household consumption in China: evidence from the Hypothetical Extraction Method.Empirical Economics, 2018, 54(4): 1743-1775. (SSCI, IF=0.645)

[3]Yue-Jun Zhang, Ming-Ying Chen. Evaluating the dynamic 表演 of 能量 portfolios: Empirical evidence from the DEA directional distance function.European Journal of Operational Research, 2018, 269(1): 64-78. (SCI, IF=3.297)

[4]Yue-Jun Zhang, Zhao Liu*, 硅Ming Zhou, Chang-Xiong Qin, Huan Zhang. The impact of China’s Central Rise Policy on 碳 emissions at the stage of operation in road sectorEconomic Modelling. 2018, 71: 159-173. (SSCI, IF=1.481)

[5]Yue-Jun Zhang,Ya-Fang Sun, Jun-Ling Huang. 能量 efficiency, carbon emission 表演, and technology gaps: Evidence from CDM project investment.Energy Policy, 2018, 115: 119–130. (SCI\u0026SSCI, IF=4.140)

[6]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, IF=3.199)

[7]Yue-Jun Zhang, Xiao-Juan Bian, Weiping Tan, Juan Song. The indirect 能量 consumption and CO emission caused by household consumption in China: an analysis based on the Input-Output method.Journal of Cleaner Production, 2017, 163: 69-83. (SCI, IF=5.715)

[8]Yue-Jun Zhang, Jun-Fang Hao. 碳 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, IF=1.709)

[9]卢子贤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\u0026SSCI, IF=7.182)

Jing-Li Fan,Yue-Jun Zhang*, Bing Wang. The impact of urbanization on residential 能量 consumption in China: an aggregated and disaggregated analysis.Renewable \u0026 Sustainable Energy Reviews, 2017, 75: 220-233. (SCI\u0026SSCI, IF=8.050) (*通讯作者)

[11]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, IF=3.199)

[12]Yue-Jun Zhang, Yu-Lu Peng, Chao-Qun Ma, Bo Shen. Can environmental Innovation facilitate 碳 emissions reduction? Evidence from China.能量 Policy, 2017, 100: 18-28. (SCI\u0026SSCI, IF=4.140)

[13]Yue-Jun Zhang, Zhao Liu*, Chang-Xiong Qin, Tai-De Tan. The direct and indirect COrebound effect for private cars in China.Energy Policy, 2017, 100: 149-161. (SCI\u0026SSCI, IF=4.140)

[14]Yue-Jun Zhang, Yan-Lin Jin, Julien Chevallier, Bo Shen. The effect of corruption on 碳 dioxide emissions in APEC countries: a panel quantile regression analysis.Technological Forecasting and Social Change, 2016, 112: 220-227. (SSCI, IF=2.625)

[15]Yue-Jun Zhang, Jun-Fang Hao, Juan Song. The CO emission efficiency, reduction potential and spatial clustering in China's industry: evidence from the regional level.Applied 能量, 2016, 174: 213-223. (SCI\u0026SSCI, IF=7.182)

[16]Yue-Jun Zhang, Ting Yao. Interpreting the movement of oil prices: driven by fundamentals or bubbles?.Economic Modelling, 2016, 55: 226-240. (SSCI, IF=1.481)

[17]Yue-Jun Zhang, Ya-Fang Sun. The dynamic volatility spillover between European 碳 trading market and Fossil 能量 market.Journal of Cleaner Production, 2016, 112(4): 2654–2663. (SCI, IF=5.715)

[18]Yue-Jun Zhang, Jun-Fang Hao. The evaluation of environmental capacity: evidence in Hunan province of China.Ecological Indicators, 2016, 60:514–523. (SCI, IF=3.898)

[19]Yue-Jun Zhang, Hua-Rong Peng, Zhao Liu, Weiping Tan. Direct 能量 rebound effect for road Passenger transport in China: A dynamic panel quantile regression approach.Energy Policy, 2015, 87: 303-313. (SCI\u0026SSCI, IF=4.140)

[20]Yue-Jun Zhang, AO越南盾 Wang, Weiping Tan. The impact of China's 碳 allowance allocation rules on the product prices and emission reduction behaviors of ETS-covered enterprises.能量 Policy, 2015, 86: 176-185. (SCI\u0026SSCI, IF=4.140)

JinLiang Zhang,Yue-Jun Zhang*, Lu Zhang. A novel hybrid method for crude oil price forecasting.Energy Economics, 2015, 49: 649-659. (SSCI, IF=3.199) (*通讯作者)

[22]Yue-Jun Zhang, Lu Zhang. Interpreting the crude oil price movements: evidence from the Markov regime switching model.Applied 能量, 2015, 143: 96-109. (SCI\u0026SSCI, IF=7.182)

[23]Yue-Jun Zhang, Ya-Bin Da. The decomposition of energy-related 碳 emission and its decoupling with economic growth in China.Renewable \u0026 Sustainable 能量 Reviews, 2015, 41: 1255-1266. (SCI\u0026SSCI, IF=8.050)

[24]Yue-Jun Zhang, AO越南盾 Wang, Ya-Bin Da. Regional allocation of 碳 emission quotas in China: evidence from the Shapley value method.Energy Policy, 2014, 74: 454-464. (SCI\u0026SSCI, IF=4.140)

Gang Wu,Yue-Jun Zhang*. Does China factor matter? An econometric analysis of international crude oil prices.能量 Policy, 2014, 72: 78-86. (SCI\u0026SSCI, IF=4.140) (*通讯作者)

[26]卢子贤Jun Zhang. Speculative trading and WTI crude oil futures price movement: an empirical analysis.Applied Energy, 2013, 107: 394-402. (SCI\u0026SSCI, IF=7.182)

[27]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 能量, 2013, 104: 220-228. (SCI\u0026SSCI, IF=7.182)

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\u0026SSCI, IF=4.140)（*通讯作者）

[29]卢子贤Jun Zhang. Interpreting the dynamic nexus between 能量 consumption and economic growth: empirical evidence from Russia.Energy Policy, 2011, 39(5): 2265-2272. (SCI\u0026SSCI, IF=4.140)

[30]Yue-Jun Zhang. The impact of financial development on 碳 emissions: an empirical analysis in China.能量 Policy, 2011, 39(4): 2197-2203. (SCI\u0026SSCI, IF=4.140)

[31]Yue-Jun Zhang, Yi-Ming Wei. The dynamic influence of advanced 高汤 market risk on international crude oil return: an empirical analysis.Quantitative Finance, 2011, 11(7): 967-978. (SCI\u0026SSCI, IF=0.960)

[32]Yue-Jun Zhang, Yi-Ming Wei. The crude oil market and the gold market: evidence for cointegration, causality and price 探索频道Resources Policy, 2010, 35(3): 168-177. (SSCI, IF=2.618)

[33]Yue-Jun Zhang, Yi-Ming Wei. An overview of current research on EU ETS: evidence from its operating mechanism and economic effect.Applied 能量, 2010, 87(6): 1804-1814. (SCI\u0026SSCI, IF=7.182）

[34]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, IF=0.993）

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, IF=3.199）

1,张跃军,魏一鸣. 石油市场风险管理: 模型与应用. 北京: 科学出版社, 2013.

2, 魏一鸣,张跃军. 中国能源经济数字图解2012-2013. 北京: 科学出版社, 2013.

1,中国碳排放配额交易对碳减排的影响机制建模及优化策略研究. 国家自然科学基金面上项目. 2018-2021.

2, 石油金融与碳金融系统建模. 国家自然科学基金优秀青年项目. 2014-2016.

3, 碳排放配额交易的市场机制与政策研究. 国家自然科学基金面上项目. 2013-2016.

4, 国际石油市场复杂系统投机泡沫机制及其实证研究. 国家自然科学基金青年项目. 2011-2013.

5, 国际石油市场投机泡沫复杂机制及其对油价波动的影响研究. 教育部博士点基金. 2011-2013.

6, 应对气候变化的碳交易市场机制与模型研究. 教育部人文社会科学研究基金项目. 2010-2012.

7,北京市金融发展对碳排放的复杂影响机制建模及实证研究. 北京市优 秀 人 才培养资助计划. 2012-2013.

8,世界主要城市煤炭清洁化管理经验借鉴. 北京节能环保中心 2011-2012.

1, 2017年，第十三届湖南省社会科学优秀成果一等奖（排名第一）

2, 2016年，长江学者奖励计划青年学者

3, 2016年，湖南省“湖湘青年英才”支持计划

4, 2015年，湖南省首届“我最喜爱的青年教师”

5, 2014年，国家高层次人才特殊支持计划（即“万人计划”）青年拔尖人才

6, 2014年，教育部科技进步二等奖（排名第六）

7, 2013年，国家中华人民共和国国家自然科学基金委员会优秀青年科学基金项目

8, 2012年，北京市中青年社科理论人才“百人工程”

9, 2011年，北京市优 秀 人才培养资助计划