张跃军_湖南大学教授、博士生导师

张跃军

湖南大学教授、博士生导师

张跃军，男，1980年生，湖南安仁人，管理学博士，湖南大学二级教授、博士生导师，教育部国家高层次人才特聘教授（2020）和青年学者（2016）、中组部“万人计划”青年拔尖人才（2014）、国家自然基金委优秀青年科学基金获得者（2013）、湖南省科技创新领军人才、“湖湘青年英才”、北京市中青年社科理论人才“百人工程”人选。

人物经历

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”，2019年获得“湖南青年五四奖章”。

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，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；SSCI、SCI一区期刊Energy Economics副主编、Sustainable Production and Consumption的Editor、Journal of Cleaner Production的副主编、《中国人口·资源与环境》学术编辑；美国加州大学伯克利分校、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。

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、能源经济复杂系统建模等领域的研究工作。

讲授课程

能源经济学、金融工程数据分析等。

出版图书

学术成果

学术论文

[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,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) (*通讯作者)

[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) (*通讯作者)

[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) (*通讯作者)

[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)（*通讯作者）

[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）

[39] 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.

[40] 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.

[41] 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.

[42] 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.

[43] 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.

[44] 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.

[45] Zhao Liu, Chang-Xiong Qin, Yue-Jun Zhang*. Mining product competitiveness by fusing multisource online information. Decision Support Systems, 2021, 143: 113477.

[46] Yue-Jun Zhang, Lin Jiang, Wei Shi. Exploring the growth-adjusted energy-emission efficiency of transportation industry in China. Energy Economics, 2020, 90: 104873.

[47] 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.

[48] 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.

[49] 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.

[50] 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.

[51] 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.

[52] 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.

[53] 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.

[54] 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.

[55] 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.

出版专著

科研成果

1, 完善WO国碳排放交易制度研究. 国家社科基金重大项目. 2019-2022.

2, 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.

3, 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.

4, 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.

5, 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.

6, 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.

7, 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.

8,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.

9,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.

荣誉奖励