反饋

張躍軍

（湖南大學教授、博士生導師）

張躍軍，男，1980年生，湖南安仁人，管理學博士，湖南大學二級教授、博士生導師，教育部國家高層次人才特聘教授（2020）和青年學者（2016）、中組部“萬人計劃”青年拔尖人才（2014）^[1] 、國家自然基金委優秀青年科學基金獲得者（2013）、湖南省科技創新領軍人才、“湖湘青年英才”、北京市中青年社科理論人才“百人工程”人選^[2] ^[54] 。

張躍軍教授主要從事石油資產定價與預測、能源環境政策績效評價、碳交易與碳減排機制政策等領域的研究工作。現已主持國家自然科學基金優秀青年基金項目、重點專項，國家社科基金重大項目、重點項目等重要科研任務10餘項^[58] 。

截至2024年初，張躍軍教授以第一或通訊作者在國內外學術期刊發表論文160餘篇，其中在The Energy Journal, Energy Economics、Environmental Science & Technology、Journal of Forecasting、European Journal of Operational Research、Applied Energy、Decision Support Systems等國際期刊發表SSCI/SCI論文120餘篇^[3] ，29篇論文上榜ESI熱點/高被引論文^[3] ，論文被美國斯坦福大學研究生課程列為授課材料，入選科睿唯安“全球高被引學者”、愛思唯爾“中國高被引學者”。主編著作5部；撰寫多份報告得到國家領導人重要批示。研究成果獲得湖南省社會科學優秀成果一等獎（排名第一）^[4] 、教育部高等學校科學研究優秀成果獎（人文社會科學）二等獎（排名第一）^[55] 、自然科學獎二等獎（排名第一，2項）^[5-6] ^[58] 。

中文名: 張躍軍
國籍: 中國
民族: 漢
畢業院校: 中國科學院科技政策與管理科學研究所
學位/學歷: 博士
職業: 教師

專業方向: 管理學
學術代表作: 石油市場風險管理：模型與應用
 碳排放權交易機制：模型與應用
中國實現碳減排目標的途徑與政策研究
國際原油市場定價機制與預測研究
任職院校: 湖南大學

張躍軍人物經歷

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”，2019年獲得“湖南青年五四獎章”^[56] 。

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；SSCI、SCI一區期刊Energy Economics副主編、Sustainable Production and Consumption的Editor^[53] 、Journal of Cleaner Production的副主編^[7] 、《中國人口·資源與環境》學術編輯；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，東亞東盟經濟研究中心（ERIA）項目專家。^[6] ^[58]

張躍軍研究領域

主要從事石油資產定價與預測、能源環境政策績效評價、碳交易與碳減排機制、能源經濟複雜系統建模等領域的研究工作。

張躍軍講授課程

能源經濟學、金融工程數據分析等。

張躍軍學術成果

張躍軍學術論文

[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)^[8]

[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)^[9]

[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^[10]

[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) ^[11]

[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)^[12]

[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)^[13]

[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)^[14]

[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)^[15]

[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)^[16]

[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)^[17]

[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)^[18]

[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)^[19]

[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)^[20]

[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)^[21]

[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)^[22]

[16]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. (SCI&SSCI)^[23]

[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)^[24]

[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)^[25]

[19]Yue-Jun Zhang, Ting Yao. Interpreting the movement of oil prices: driven by fundamentals or bubbles?. Economic Modelling, 2016, 55: 226-240. (SSCI)^[26]

[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)^[27]

[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)^[28]

[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)^[29]

[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)^[30]

[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)^[31]

[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)^[32]

[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)^[33]

[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)^[34]

[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)^[35]

[29] Yue-Jun Zhang. Speculative trading and WTI crude oil futures price movement: an empirical analysis. Applied Energy, 2013, 107: 394-402. (SCI&SSCI)^[36]

[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)^[37]

[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）^[38]

[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)^[39]

[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)^[40]

[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)^[41]

[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)^[42]

[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)^[43]

[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）^[44]

[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）^[45]

[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.^[57]

張躍軍出版專著

張躍軍, 魏一鳴. 石油市場風險管理: 模型與應用. 北京: 科學出版社, 2013.^[46]
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.^[47]
張躍軍. 國際原油市場定價機制與預測研究. 北京: 科學出版社, 2022.
張躍軍. 中國實現碳減排目標的途徑與政策研究. 北京: 科學出版社, 2021.
張躍軍. 碳排放權交易機制: 模型與應用. 北京: 科學出版社, 2019.^[57]

張躍軍科研成果

1, 完善WO國碳排放交易制度研究. 國家社科基金重大項目. 2019-2022.^[48]

2, 中國碳排放配額交易對碳減排的影響機制建模及優化策略研究. 國家自然科學基金面上項目. 2018-2021.^[49]

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.^[49]

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.^[49]

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.^[49]

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劃. 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.

張躍軍榮譽獎勵

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）^[5]

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）^[4]

3, 2016年，湖南省“湖湘青年英才”支持計劃^[50]

4, 2014年，國家高層次人才特殊支持計劃（即“萬人計劃”）青年拔尖人才^[1]

5, 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）^[51]

6, 2013年，國家自然科學基金委優秀青年科學基金項目^[49]

7, 2012年，北京市中青年社科理論人才“百人工程”^[52]

8, 2011年，北京市優秀人才培養資助計劃^[2]

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52. 北理工教師張躍軍、王娟入選北京市社科理論人才“百人工程”新增培養人選．北京理工大學[引用日期2018-05-08]
53. Editorial Board - Sustainable Production and Consumption - Journal - Elsevier ．Sustainable Production and Consumption官網[引用日期2021-10-24]
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