一、基本信息
张跃军，湖南安仁人，博士、湖南大学二级教授、博士生导师，教育部国家高层次人才计划特聘教授和青年学者，国家自然基金委优秀青年基金获得者，中组部国家高层次人才计划人才，国家社科基金重大项目主持人兼首席专家，科睿唯安“全球高被引学者”，爱思唯尔“中国高被引学者”，美国斯坦福大学“全球前2%顶尖科学家”，湖南省科技创新领军人才，湖南省“湖湘青年英才”，北京市中青年社科理论人才“百人工程”人选，北京市优秀人才培养资助计划人选。
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。2014年加盟湖南大学工商管理学院，任教授、博士生导师，创建“湖南大学资源与环境管理研究中心”。2015年荣获湖南省首届“我最喜爱的青年教师”。2019年荣获“湖南青年五四奖章”。
张跃军教授主要从事石油资产定价与预测、能源环境政策绩效评价、碳交易与碳减排政策等领域的研究工作。现已主持国家自然科学基金（优秀青年基金项目、面上项目和青年项目）、国家社科基金重大项目、中组部国家特殊支持计划项目、高等学校博士学科点专项科研基金、教育部人文社会科学研究基金等10余项；并作为子课题负责人参与承担国家973课题、国家科技支撑计划项目、国家自然基金委重大国际合作项目和重点项目等20余项。
截至2022年初，张跃军教授以第一作者或通讯作者在国内外学术期刊发表论文150余篇，其中在Energy Economics、The Energy Journal、Environmental Science & Technology、Applied Energy、Energy Policy、Journal of Forecasting、European Journal of Operational Research、Decision Support Systems等国际顶级或知名学术期刊发表SSCI/SCI论文100余篇，23篇论文上榜ESI数据库热点/高被引论文；论文被美国斯坦福大学研究生课程列为授课材料，被美国耶鲁大学《耶鲁环境评论》专门撰文评述；论文被引7000余次，单篇最高被引600余次。主编或参与出版专著10余部（主编5部）；撰写10余份政策咨询报告被国家有关部门采用，多份报告得到党和国家领导人重要批示。
近几年，研究成果获得湖南省社会科学优秀成果一等奖（排名第1）、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1）、教育部高等学校科学研究优秀成果奖（人文社会科学）二等奖（排名第1）、教育部高等学校科学研究优秀成果奖科技进步奖二等奖（排名第6）等荣誉。
兼任国际能源经济学会（IAEE）会员、国际计量经济学会会员、中国留美经济学会会员、中国“双法”研究会气候金融研究分会副理事长、中国“双法”研究会能源经济与管理研究分会副秘书长、湖南省系统工程与管理学会副理事长、中国系统工程学会能源资源系统工程分会常务理事等；兼任Sustainable Production and Consumption（SCI/SSCI一区期刊）、Journal of Cleaner Production（SCI一区期刊）等9份国际学术期刊的领域主编、客座主编、副主编或编委，《中国人口.资源与环境》等国内权威期刊学术编辑或编委；50余份国际知名学术期刊匿名审稿人。美国加州大学伯克利分校、美国加州大学劳伦斯伯克利国家实验室访问学者，新加坡国立大学能源研究所访问学者，国际知名智库——东亚东盟经济研究中心（ERIA）项目专家。
招收博士生和硕士生的期望：
诚邀志同道合、有理想、有追求、有探索精神的优秀青年相聚工商管理学院，共同探索、共同进步。期望报考学生：
1.人品厚道，与人为善，吃苦耐劳，诚实守信，积极向上；
2.热爱研究，敬畏科研；
3.英语基础较好，口头表达能力较好；
4.原专业为统计学、经济学、金融学、系统工程、自动化、计算科学或能源环境政策等。
课题组招聘博士后：
1.研究方向
方向1：“双碳”目标下能源转型路径及其经济社会环境影响
方向2：碳定价机制动态优化研究
方向3：ESG评级、信息披露及绩效评价研究
方向4：大数据环境下的石油资产定价与预测研究
2.招聘要求
[1]已有博士学位，或近期能顺利完成答辩获得博士学位者，年龄35岁以下；
[2]管理科学、系统工程、能源环境、经济金融、计算机等相关专业背景；
[3]优秀的发表记录；
[4]热爱学术研究、工作积极、性格随和、善于合作；
[5]全职、在职都可以，优先全职博士后。
3.工作待遇
按照国家和湖南大学相关博士后管理办法执行，另加学院和课题组的科研补贴。
课题组详情请见：http://crem.hnu.edu.cn/，有意申请者请将简历、代表性论文或成果发至zyjmis@126.com，并注明主题“应聘博士后”。
二、研究领域
主要从事石油资产定价与预测、能源环境政策绩效评价、碳交易与碳减排机制等领域的研究工作。
三、讲授课程
能源环境经济学、气候变化与商务、金融工程数据分析、定量分析方法、投资银行学等。
四、研究成果
1.部分国际期刊论文
[1] Yue-Jun Zhang, Han Zhang. Volatility forecasting of crude oil market: Which structural change based GARCH models have better performance?The Energy Journal. 2023, 44(1): 175-193.
[2] Wei Wang, Yue-Jun Zhang*. Does China's carbon emissions trading scheme affect the market power of high-carbon enterprises?Energy Economics, 2022, 108: 105906.
[3] Yuan-Yuan Zhang, Yue-Jun Zhang*. The impact of institutional analyst forecast divergence on the crude oil market: Evidence from mixed-frequency models.International Review of Financial Analysis, 2022, 84: 102418.
[4] Yue-Jun Zhang, Wei Wang. How does China's carbon emissions trading (CET) policy affect the investment of CET-covered enterprises?Energy Economics, 2021, 98: 105224.
[5] Jing-Yue Liu, Richard Woodward*, Yue-Jun Zhang*. Has carbon emissions trading reduced PM2.5 in China?Environmental Science & Technology, 2021, 55(10): 6631-6643.
[6] Yue-Jun Zhang, Hao-Sen Cheng. The impact mechanism of ETS on CO2 emissions from the service sector: Evidence from Beijing and Shanghai.Technological Forecasting & Social Change, 2021,173: 121114.
[7] Zhao Liu, Chang-Xiong Qin, Yue-Jun Zhang*. Mining product competitiveness by fusing multisource online information.Decision Support Systems, 2021, 143: 113477.
[8] Yue-Jun Zhang, Lin Jiang, Wei Shi. Exploring the growth-adjusted energy-emission efficiency of transportation industry in China.Energy Economics, 2020, 90: 104873.
[9]Yue-Jun Zhang, Jing-Yue Liu, Bin Su. Carbon congestion effects in China's industry: evidence from provincial and sectoral levels.Energy Economics, 2020, 86. 104635.
[10]Yue-Jun Zhang, Ting Liang, Yan-Lin Jin, Bo Shen. The impact of carbon trading on economic output and carbon emissions reduction in China's industrial sectors.Applied Energy, 2020, 260: 114290.
[11]Yue-Jun Zhang, Shu-Jiao Ma. How to effectively estimate the time-varying risk spillover between crude oil and stock markets? Evidence from the expectile perspective.Energy Economics, 2019, 84: 104562.
[12]Yue-Jun Zhang, Wei Shi, Lin Jiang. Does China's carbon emissions trading policy improve the technology innovation of relevant enterprises?Business Strategy and the Environment, 2020, 29: 872-885.
[13]Chao Wang, Yue-Jun Zhang*. Does environmental regulation policy help improve green production performance? Evidence from China’s industry.Corporate Social Responsibility and Environmental Management, 2020, 27: 937-951.
[14]Yue-Jun Zhang, Jia-Juan Lin. Can the VAR model outperform MRS model for asset allocation in commodity market under different risk preferences of investors?International Review of Financial Analysis, 2019, 66: 101395.
[15]Yue-Jun Zhang, Shu-Hui Li. The impact of investor sentiment on crude oil market risks: Evidence from the wavelet approach.Quantitative Finance, 2019, 19(8): 1357-1371.
[16]Yue-Jun Zhang, Yao-Bin Wu. The time-varying spillover effect between WTI crude oil futures returns and hedge funds.International Review of Economics and Finance, 2019, 61: 156-169.
[17]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.
[18]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.
[19]Jin-Liang Zhang, Yue-Jun Zhang*, De-Zhi Li, Zhong-Fu Tan, Jian-Fei Ji. Forecasting day-ahead electricity prices using a new integrated model.International Journal of Electrical Power and Energy Systems, 2019, 105: 541-548.
[20]Yue-Jun Zhang, Jin-Liang Zhang*. Volatility forecasting of crude oil market: A new hybrid method.Journal of Forecasting, 2018, 37: 781-789.
[21]Yue-Jun Zhang, Yao-Bin Wu. The dynamic information spill-over effect of WTI crude oil prices on China’s traditional energy sectors.China Agricultural Economic Review, 2018, 10(3): 516-534.
[22]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.
[23]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.
[24]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.
[25]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)
[26]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.
[27]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.
[28]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.
[29]Ting Yao, Yue-Jun Zhang*, Chao-Qun Ma. How does investor attention affect international crude oil prices?Applied Energy, 2017, 205: 336-344.
[30]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.
[31]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.
[32]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.
[33]Yue-Jun Zhang, Zhao Liu*, Chang-Xiong Qin, Tai-De Tan. The direct and indirect CO2rebound effect for private cars in China.Energy Policy, 2017, 100: 149-161.
[34]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.
[35]Yue-Jun Zhang, Jun-Fang Hao, Juan Song. The CO2emission efficiency, reduction potential and spatial clustering in China's industry: evidence from the regional level.Applied Energy, 2016, 174: 213-223.
[36]Yue-Jun Zhang, Ting Yao. Interpreting the movement of oil prices: driven by fundamentals or bubbles?.Economic Modelling, 2016, 55: 226-240.
[37]Tian-Jian Yang, Yue-Jun Zhang*, Su Tang, Jing Zhang. How to assess and manage energy performance of numerous telecommunication base stations: evidence in China.Applied Energy, 2016, 164: 436-445.
[38]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.
[39]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.
[40]Jin-Liang Zhang, Yue-Jun Zhang*, Lu Zhang. A novel hybrid method for crude oil price forecasting.Energy Economics, 2015, 49: 649-659.
[41]Yue-Jun Zhang, Lu Zhang. Interpreting the crude oil price movements: evidence from the Markov regime switching model.Applied Energy, 2015, 143: 96-109.
[42]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.
[43]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.
[44]Gang Wu, Yue-Jun Zhang*. Does China factor matter? An econometric analysis of international crude oil prices.Energy Policy, 2014, 72: 78-86.
[45]Yue-Jun Zhang. Speculative trading and WTI crude oil futures price movement: an empirical analysis.Applied Energy, 2013, 107: 394-402.
[46]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.
[47]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.
[48]Yue-Jun Zhang. Interpreting the dynamic nexus between energy consumption and economic growth: empirical evidence from Russia.Energy Policy, 2011, 39(5): 2265-2272.
[49]Yue-Jun Zhang. The impact of financial development on carbon emissions: an empirical analysis in China.Energy Policy, 2011, 39(4): 2197-2203.
[50]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.
[51]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.
[52]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.
[53]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.
[54]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.
2.主要科研项目
主持
[1]碳定价机制的复杂机理与动态优化研究. 国家自然科学基金专项项目. 2023-2025.
[2]“双碳”目标下能源结构转型路径与协同机制研究. 国家社科基金重点项目. 2023-2025.
[3]完善我国碳排放交易制度研究.国家社科基金重大项目. 2019-2022.
[4]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.
[5]国际石油价格复杂系统建模及应用研究.中组部国家特殊支持计划人才项目. 2015-2017.
[6]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.
[7]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.
[8]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.
[9]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.高等学校博士学科点专项科研基金. 2011-2013.
[10]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.
[11]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.
[12]世界主要城市煤炭清洁化管理经验借鉴.北京市节能环保中心. 2011-2012.
参与
[1]低碳发展背景下我国新能源产业创新机制与风险防控研究.国家社科基金重大项目. 2021-
[2]高维度、非线性、非平稳及时变金融数据建模和应用.国家自然科学基金重点项目. 2015-2019.
[3]气候变化对社会经济系统易损性影响分析方法及其应用研究.国家自然科学基金重大国际合作项目. 2011-2013.
[4]建立以中国为主的气候变化国际/区域研究中心可行性研究.国家973课题. 2010-2011.
[5]资源与环境复杂系统管理中的理论方法与应用研究.国家杰出青年科学基金项目. 2004-2008.
[6]能源安全与能源政策的基础研究.国家自然科学基金重点项目. 2008-2011.
[7]应对气候变化的碳市场研究.中国科学院知识创新工程重要方向项目群项目. 2009-2011.
[8]原油价格波动规律及其对我国经济的影响分析.国家自然科学基金项目. 2006-2008.
[9]矿产资源开发利用决策支持系统开发.科技部“十一五”国家科技支撑计划项目. 2006-2009.
[10]国外矿产资源开发利用风险评价技术研究.科技部“十一五”国家科技支撑计划项目. 2006-2009.
